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geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN""http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<title> Buildings in b'Montreal' RUN PERIOD 1 ** Montreal Int'l PQ CAN WYEC2-B-94792 WMO#=716270
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
2024-01-18
14:11:45
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
- EnergyPlus</title>
</head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<body>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=top></a>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Program Version:<b>EnergyPlus, Version 9.5.0-de239b2e5f, YMD=2024.01.18 14:11</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<p>Tabular Output Report in Format: <b>HTML</b></p>
<p>Building: <b>Buildings in b'Montreal'</b></p>
<p>Environment: <b>RUN PERIOD 1 ** Montreal Int'l PQ CAN WYEC2-B-94792 WMO#=716270</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Simulation Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=AnnualBuildingUtilityPerformanceSummary::EntireFacility></a>
<p>Report:<b> Annual Building Utility Performance Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Values gathered over 8760.00 hours</b><br><br>
<b></b><br><br>
<b>Site and Source Energy</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Site and Source Energy-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Total Energy [kWh]</td>
<td align="right">Energy Per Total Building Area [kWh/m2]</td>
<td align="right">Energy Per Conditioned Building Area [kWh/m2]</td>
</tr>
<tr>
<td align="right">Total Site Energy</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 254015.03</td>
<td align="right"> 821.95</td>
<td align="right"> 821.95</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Net Site Energy</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 254015.03</td>
<td align="right"> 821.95</td>
<td align="right"> 821.95</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Total Source Energy</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 820655.39</td>
<td align="right"> 2655.52</td>
<td align="right"> 2655.52</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Net Source Energy</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 820655.39</td>
<td align="right"> 2655.52</td>
<td align="right"> 2655.52</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<br><br>
<b>Site to Source Energy Conversion Factors</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Site to Source Energy Conversion Factors-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Site=&gt;Source Conversion Factor</td>
</tr>
<tr>
<td align="right">Electricity</td>
<td align="right"> 3.167</td>
</tr>
<tr>
<td align="right">Natural Gas</td>
<td align="right"> 1.084</td>
</tr>
<tr>
<td align="right">District Cooling</td>
<td align="right"> 1.056</td>
</tr>
<tr>
<td align="right">District Heating</td>
<td align="right"> 3.613</td>
</tr>
<tr>
<td align="right">Steam</td>
<td align="right"> 1.200</td>
</tr>
<tr>
<td align="right">Gasoline</td>
<td align="right"> 1.050</td>
</tr>
<tr>
<td align="right">Diesel</td>
<td align="right"> 1.050</td>
</tr>
<tr>
<td align="right">Coal</td>
<td align="right"> 1.050</td>
</tr>
<tr>
<td align="right">Fuel Oil No 1</td>
<td align="right"> 1.050</td>
</tr>
<tr>
<td align="right">Fuel Oil No 2</td>
<td align="right"> 1.050</td>
</tr>
<tr>
<td align="right">Propane</td>
<td align="right"> 1.050</td>
</tr>
<tr>
<td align="right">Other Fuel 1</td>
<td align="right"> 1.000</td>
</tr>
<tr>
<td align="right">Other Fuel 2</td>
<td align="right"> 1.000</td>
</tr>
</table>
<br><br>
<b>Building Area</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Building Area-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Area [m2]</td>
</tr>
<tr>
<td align="right">Total Building Area</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 309.04</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Net Conditioned Building Area</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 309.04</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Unconditioned Building Area</td>
<td align="right"> 0.00</td>
</tr>
</table>
<br><br>
<b>End Uses</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_End Uses-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Electricity [kWh]</td>
<td align="right">Natural Gas [kWh]</td>
<td align="right">Gasoline [kWh]</td>
<td align="right">Diesel [kWh]</td>
<td align="right">Coal [kWh]</td>
<td align="right">Fuel Oil No 1 [kWh]</td>
<td align="right">Fuel Oil No 2 [kWh]</td>
<td align="right">Propane [kWh]</td>
<td align="right">Other Fuel 1 [kWh]</td>
<td align="right">Other Fuel 2 [kWh]</td>
<td align="right">District Cooling [kWh]</td>
<td align="right">District Heating [kWh]</td>
<td align="right">Water [m3]</td>
</tr>
<tr>
<td align="right">Heating</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 114133.39</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Cooling</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 32461.74</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Interior Lighting</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 11659.74</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Exterior Lighting</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Interior Equipment</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 20063.83</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Exterior Equipment</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Fans</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Pumps</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Heat Rejection</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Humidification</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Heat Recovery</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Water Systems</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 75696.33</td>
<td align="right"> 1068.88</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Refrigeration</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Generators</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Total End Uses</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 31723.57</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 32461.74</td>
<td align="right"> 189829.73</td>
<td align="right"> 1068.88</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<i>Note: District heat appears to be the principal heating source based on energy usage.</i>
<br><br>
<b>End Uses By Subcategory</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_End Uses By Subcategory-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Subcategory</td>
<td align="right">Electricity [kWh]</td>
<td align="right">Natural Gas [kWh]</td>
<td align="right">Gasoline [kWh]</td>
<td align="right">Diesel [kWh]</td>
<td align="right">Coal [kWh]</td>
<td align="right">Fuel Oil No 1 [kWh]</td>
<td align="right">Fuel Oil No 2 [kWh]</td>
<td align="right">Propane [kWh]</td>
<td align="right">Other Fuel 1 [kWh]</td>
<td align="right">Other Fuel 2 [kWh]</td>
<td align="right">District Cooling [kWh]</td>
<td align="right">District Heating [kWh]</td>
<td align="right">Water [m3]</td>
</tr>
<tr>
<td align="right">Heating</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 114133.39</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Cooling</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 32461.74</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Interior Lighting</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">ELECTRIC EQUIPMENT#175785#GeneralLights</td>
<td align="right"> 5260.06</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">ELECTRIC EQUIPMENT#176293#GeneralLights</td>
<td align="right"> 4157.54</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">ELECTRIC EQUIPMENT#182393#GeneralLights</td>
<td align="right"> 2242.14</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Exterior Lighting</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Interior Equipment</td>
<td align="right">ELECTRIC EQUIPMENT#175785#InteriorEquipment</td>
<td align="right"> 9051.40</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">ELECTRIC EQUIPMENT#176293#InteriorEquipment</td>
<td align="right"> 7154.20</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">ELECTRIC EQUIPMENT#182393#InteriorEquipment</td>
<td align="right"> 3858.22</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Exterior Equipment</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Fans</td>
<td align="right">Ventilation (simple)</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Pumps</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heat Rejection</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Humidification</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heat Recovery</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Water Systems</td>
<td align="right">DHW 175785</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 34148.92</td>
<td align="right"> 482.20</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">DHW 176293</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 26991.20</td>
<td align="right"> 381.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">DHW 182393</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 14556.22</td>
<td align="right"> 205.54</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Refrigeration</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Generators</td>
<td align="right">General</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
</tr>
</table>
<br><br>
<b>Normalized Metrics</b><br><br>
<b>Utility Use Per Conditioned Floor Area</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Utility Use Per Conditioned Floor Area-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Electricity Intensity [kWh/m2]</td>
<td align="right">Natural Gas Intensity [kWh/m2]</td>
<td align="right">Gasoline Intensity [kWh/m2]</td>
<td align="right">Diesel Intensity [kWh/m2]</td>
<td align="right">Coal Intensity [kWh/m2]</td>
<td align="right">Fuel Oil No 1 Intensity [kWh/m2]</td>
<td align="right">Fuel Oil No 2 Intensity [kWh/m2]</td>
<td align="right">Propane Intensity [kWh/m2]</td>
<td align="right">Other Fuel 1 Intensity [kWh/m2]</td>
<td align="right">Other Fuel 2 Intensity [kWh/m2]</td>
<td align="right">District Cooling Intensity [kWh/m2]</td>
<td align="right">District Heating Intensity [kWh/m2]</td>
<td align="right">Water Intensity [m3/m2]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Lighting</td>
<td align="right"> 37.73</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">HVAC</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 105.04</td>
<td align="right"> 614.26</td>
<td align="right"> 3.46</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Other</td>
<td align="right"> 64.92</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Total</td>
<td align="right"> 102.65</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 105.04</td>
<td align="right"> 614.26</td>
<td align="right"> 3.46</td>
</tr>
</table>
<br><br>
<b>Utility Use Per Total Floor Area</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Utility Use Per Total Floor Area-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Electricity Intensity [kWh/m2]</td>
<td align="right">Natural Gas Intensity [kWh/m2]</td>
<td align="right">Gasoline Intensity [kWh/m2]</td>
<td align="right">Diesel Intensity [kWh/m2]</td>
<td align="right">Coal Intensity [kWh/m2]</td>
<td align="right">Fuel Oil No 1 Intensity [kWh/m2]</td>
<td align="right">Fuel Oil No 2 Intensity [kWh/m2]</td>
<td align="right">Propane Intensity [kWh/m2]</td>
<td align="right">Other Fuel 1 Intensity [kWh/m2]</td>
<td align="right">Other Fuel 2 Intensity [kWh/m2]</td>
<td align="right">District Cooling Intensity [kWh/m2]</td>
<td align="right">District Heating Intensity [kWh/m2]</td>
<td align="right">Water Intensity [m3/m2]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Lighting</td>
<td align="right"> 37.73</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">HVAC</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 105.04</td>
<td align="right"> 614.26</td>
<td align="right"> 3.46</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Other</td>
<td align="right"> 64.92</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Total</td>
<td align="right"> 102.65</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 105.04</td>
<td align="right"> 614.26</td>
<td align="right"> 3.46</td>
</tr>
</table>
<br><br>
<b>Electric Loads Satisfied</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Electric Loads Satisfied-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Electricity [kWh]</td>
<td align="right">Percent Electricity [%]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Fuel-Fired Power Generation</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">High Temperature Geothermal*</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Photovoltaic Power</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Wind Power</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Power Conversion</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Net Decrease in On-Site Storage</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Total On-Site Electric Sources</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Electricity Coming From Utility</td>
<td align="right"> 31723.568</td>
<td align="right"> 100.00</td>
</tr>
<tr>
<td align="right">Surplus Electricity Going To Utility</td>
<td align="right"> 0.000</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Net Electricity From Utility</td>
<td align="right"> 31723.568</td>
<td align="right"> 100.00</td>
</tr>
<tr>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Total On-Site and Utility Electric Sources</td>
<td align="right"> 31723.568</td>
<td align="right"> 100.00</td>
</tr>
<tr>
<td align="right">Total Electricity End Uses</td>
<td align="right"> 31723.568</td>
<td align="right"> 100.00</td>
</tr>
</table>
<br><br>
<b>On-Site Thermal Sources</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_On-Site Thermal Sources-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Heat [kWh]</td>
<td align="right">Percent Heat [%]</td>
</tr>
<tr>
<td align="right">Water-Side Heat Recovery</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Air to Air Heat Recovery for Cooling</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Air to Air Heat Recovery for Heating</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">High-Temperature Geothermal*</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Solar Water Thermal</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Solar Air Thermal</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Total On-Site Thermal Sources</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Water Source Summary</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Water Source Summary-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Water [m3]</td>
<td align="right">Percent Water [%]</td>
</tr>
<tr>
<td align="right">Rainwater Collection</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Condensate Collection</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Groundwater Well</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Total On Site Water Sources</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
</tr>
<tr>
<td align="right">Initial Storage</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Final Storage</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Change in Storage</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Water Supplied by Utility</td>
<td align="right"> 1068.88</td>
<td align="right"> 100.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Total On Site, Change in Storage, and Utility Water Sources</td>
<td align="right"> 1068.88</td>
<td align="right"> 100.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Total Water End Uses</td>
<td align="right"> 1068.88</td>
<td align="right"> 100.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</table>
<br><br>
<b>Setpoint Not Met Criteria</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Setpoint Not Met Criteria-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Degrees [deltaC]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Tolerance for Zone Heating Setpoint Not Met Time</td>
<td align="right"> 0.20</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Tolerance for Zone Cooling Setpoint Not Met Time</td>
<td align="right"> 0.20</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</table>
<br><br>
<b>Comfort and Setpoint Not Met Summary</b><br><br>
<!-- FullName:Annual Building Utility Performance Summary_Entire Facility_Comfort and Setpoint Not Met Summary-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Facility [Hours]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Time Setpoint Not Met During Occupied Heating</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Time Setpoint Not Met During Occupied Cooling</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Time Not Comfortable Based on Simple ASHRAE 55-2004</td>
<td align="right"> 5311.25</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<br><br>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
Note 1: An asterisk (*) indicates that the feature is not yet implemented.<br>
<hr>
<a name=toc></a>
<p><b>Table of Contents</b></p>
<a href="#top">Top</a>
<br><a href="#AnnualBuildingUtilityPerformanceSummary::EntireFacility">Annual Building Utility Performance Summary</a>
<br><a href="#InputVerificationandResultsSummary::EntireFacility">Input Verification and Results Summary</a>
<br><a href="#DemandEndUseComponentsSummary::EntireFacility">Demand End Use Components Summary</a>
<br><a href="#ComponentSizingSummary::EntireFacility">Component Sizing Summary</a>
<br><a href="#AdaptiveComfortSummary::EntireFacility">Adaptive Comfort Summary</a>
<br><a href="#ClimaticDataSummary::EntireFacility">Climatic Data Summary</a>
<br><a href="#EnvelopeSummary::EntireFacility">Envelope Summary</a>
<br><a href="#LightingSummary::EntireFacility">Lighting Summary</a>
<br><a href="#EquipmentSummary::EntireFacility">Equipment Summary</a>
<br><a href="#HVACSizingSummary::EntireFacility">HVAC Sizing Summary</a>
<br><a href="#SystemSummary::EntireFacility">System Summary</a>
<br><a href="#OutdoorAirSummary::EntireFacility">Outdoor Air Summary</a>
<br><a href="#ObjectCountSummary::EntireFacility">Object Count Summary</a>
<br><a href="#SensibleHeatGainSummary::EntireFacility">Sensible Heat Gain Summary</a>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=InputVerificationandResultsSummary::EntireFacility></a>
<p>Report:<b> Input Verification and Results Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>General</b><br><br>
<!-- FullName:Input Verification and Results Summary_Entire Facility_General-->
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Value</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Program Version and Build</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">EnergyPlus, Version 9.5.0-de239b2e5f, YMD=2024.01.18 14:11</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">RunPeriod</td>
<td align="right">RUN PERIOD 1</td>
</tr>
<tr>
<td align="right">Weather File</td>
<td align="right">Montreal Int'l PQ CAN WYEC2-B-94792 WMO#=716270</td>
</tr>
<tr>
<td align="right">Latitude [deg]</td>
<td align="right"> 45.47</td>
</tr>
<tr>
<td align="right">Longitude [deg]</td>
<td align="right"> -73.8</td>
</tr>
<tr>
<td align="right">Elevation [m]</td>
<td align="right"> 36.00</td>
</tr>
<tr>
<td align="right">Time Zone</td>
<td align="right"> -5.0</td>
</tr>
<tr>
<td align="right">North Axis Angle [deg]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Rotation for Appendix G [deg]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Hours Simulated [hrs]</td>
<td align="right"> 8760.00</td>
</tr>
</table>
<br><br>
<b>ENVELOPE</b><br><br>
<b>Window-Wall Ratio</b><br><br>
<!-- FullName:Input Verification and Results Summary_Entire Facility_Window-Wall Ratio-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Total</td>
<td align="right">North (315 to 45 deg)</td>
<td align="right">East (45 to 135 deg)</td>
<td align="right">South (135 to 225 deg)</td>
<td align="right">West (225 to 315 deg)</td>
</tr>
<tr>
<td align="right">Gross Wall Area [m2]</td>
<td align="right"> 1077.40</td>
<td align="right"> 327.00</td>
<td align="right"> 209.46</td>
<td align="right"> 326.62</td>
<td align="right"> 214.31</td>
</tr>
<tr>
<td align="right">Above Ground Wall Area [m2]</td>
<td align="right"> 1077.40</td>
<td align="right"> 327.00</td>
<td align="right"> 209.46</td>
<td align="right"> 326.62</td>
<td align="right"> 214.31</td>
</tr>
<tr>
<td align="right">Window Opening Area [m2]</td>
<td align="right"> 215.26</td>
<td align="right"> 65.34</td>
<td align="right"> 41.85</td>
<td align="right"> 65.26</td>
<td align="right"> 42.82</td>
</tr>
<tr>
<td align="right">Gross Window-Wall Ratio [%]</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
</tr>
<tr>
<td align="right">Above Ground Window-Wall Ratio [%]</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
</tr>
</table>
<br><br>
<b>Conditioned Window-Wall Ratio</b><br><br>
<!-- FullName:Input Verification and Results Summary_Entire Facility_Conditioned Window-Wall Ratio-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Total</td>
<td align="right">North (315 to 45 deg)</td>
<td align="right">East (45 to 135 deg)</td>
<td align="right">South (135 to 225 deg)</td>
<td align="right">West (225 to 315 deg)</td>
</tr>
<tr>
<td align="right">Gross Wall Area [m2]</td>
<td align="right"> 1077.40</td>
<td align="right"> 327.00</td>
<td align="right"> 209.46</td>
<td align="right"> 326.62</td>
<td align="right"> 214.31</td>
</tr>
<tr>
<td align="right">Above Ground Wall Area [m2]</td>
<td align="right"> 1077.40</td>
<td align="right"> 327.00</td>
<td align="right"> 209.46</td>
<td align="right"> 326.62</td>
<td align="right"> 214.31</td>
</tr>
<tr>
<td align="right">Window Opening Area [m2]</td>
<td align="right"> 215.26</td>
<td align="right"> 65.34</td>
<td align="right"> 41.85</td>
<td align="right"> 65.26</td>
<td align="right"> 42.82</td>
</tr>
<tr>
<td align="right">Gross Window-Wall Ratio [%]</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
</tr>
<tr>
<td align="right">Above Ground Window-Wall Ratio [%]</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
<td align="right"> 19.98</td>
</tr>
</table>
<br><br>
<b>Skylight-Roof Ratio</b><br><br>
<!-- FullName:Input Verification and Results Summary_Entire Facility_Skylight-Roof Ratio-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Total</td>
</tr>
<tr>
<td align="right">Gross Roof Area [m2]</td>
<td align="right"> 309.04</td>
</tr>
<tr>
<td align="right">Skylight Area [m2]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
<td align="right">Skylight-Roof Ratio [%]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</table>
<br><br>
<b>PERFORMANCE</b><br><br>
<b>Zone Summary</b><br><br>
<!-- FullName:Input Verification and Results Summary_Entire Facility_Zone Summary-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Area [m2]</td>
<td align="right">Conditioned (Y/N)</td>
<td align="right">Part of Total Floor Area (Y/N)</td>
<td align="right">Volume [m3]</td>
<td align="right">Multipliers</td>
<td align="right">Above Ground Gross Wall Area [m2]</td>
<td align="right">Underground Gross Wall Area [m2]</td>
<td align="right">Window Glass Area [m2]</td>
<td align="right">Opening Area [m2]</td>
<td align="right">Lighting [W/m2]</td>
<td align="right">People [m2 per person]</td>
<td align="right">Plug and Process [W/m2]</td>
</tr>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
<td align="right"> 116.93</td>
<td align="right">Yes</td>
<td align="right">Yes</td>
<td align="right"> 1403.17</td>
<td align="right"> 1.00</td>
<td align="right"> 410.07</td>
<td align="right"> 0.00</td>
<td align="right"> 81.93</td>
<td align="right"> 81.93</td>
<td align="right"> 22.0080</td>
<td align="right"> 6.25</td>
<td align="right"> 20.0073</td>
</tr>
<tr>
<td align="right">176293</td>
<td align="right"> 92.42</td>
<td align="right">Yes</td>
<td align="right">Yes</td>
<td align="right"> 1109.06</td>
<td align="right"> 1.00</td>
<td align="right"> 326.92</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 65.32</td>
<td align="right"> 65.32</td>
<td align="right"> 22.0080</td>
<td align="right"> 6.25</td>
<td align="right"> 20.0073</td>
</tr>
<tr>
<td align="right">182393</td>
<td align="right"> 99.69</td>
<td align="right">Yes</td>
<td align="right">Yes</td>
<td align="right"> 797.48</td>
<td align="right"> 1.00</td>
<td align="right"> 340.41</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 68.01</td>
<td align="right"> 68.01</td>
<td align="right"> 11.0040</td>
<td align="right"> 12.50</td>
<td align="right"> 10.0036</td>
</tr>
<tr>
<td align="right">Total</td>
<td align="right"> 309.04</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right"> 3309.71</td>
<td align="right">&nbsp;</td>
<td align="right"> 1077.40</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 215.26</td>
<td align="right"> 215.26</td>
<td align="right"> 18.4585</td>
<td align="right"> 7.45</td>
<td align="right"> 16.7804</td>
</tr>
<tr>
<td align="right">Conditioned Total</td>
<td align="right"> 309.04</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right"> 3309.71</td>
<td align="right">&nbsp;</td>
<td align="right"> 1077.40</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 215.26</td>
<td align="right"> 215.26</td>
<td align="right"> 18.4585</td>
<td align="right"> 7.45</td>
<td align="right"> 16.7804</td>
</tr>
<tr>
<td align="right">Unconditioned Total</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Not Part of Total</td>
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=DemandEndUseComponentsSummary::EntireFacility></a>
<p>Report:<b> Demand End Use Components Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>End Uses</b><br><br>
<!-- FullName:Demand End Use Components Summary_Entire Facility_End Uses-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Electricity [W]</td>
<td align="right">Natural Gas [W]</td>
<td align="right">Gasoline [W]</td>
<td align="right">Diesel [W]</td>
<td align="right">Coal [W]</td>
<td align="right">Fuel Oil No 1 [W]</td>
<td align="right">Fuel Oil No 2 [W]</td>
<td align="right">Propane [W]</td>
<td align="right">Other Fuel 1 [W]</td>
<td align="right">Other Fuel 2 [W]</td>
<td align="right">District Cooling [W]</td>
<td align="right">District Heating [W]</td>
<td align="right">Water [m3/s]</td>
</tr>
<tr>
<td align="right">Time of Peak</td>
<td align="right">01-JAN-19:15</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">20-JUL-16:30</td>
<td align="right">04-FEB-07:15</td>
<td align="right">10-AUG-16:15</td>
</tr>
<tr>
<td align="right">Heating</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 72233.34</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Cooling</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
<td align="right"> 45602.66</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Interior Lighting</td>
<td align="right"> 5133.93</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Exterior Lighting</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Interior Equipment</td>
<td align="right"> 4667.21</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Exterior Equipment</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Fans</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Pumps</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heat Rejection</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Humidification</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heat Recovery</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Water Systems</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 20682.68</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Refrigeration</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Generators</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Total End Uses</td>
<td align="right"> 9801.15</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 45602.66</td>
<td align="right"> 92916.02</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
</table>
<br><br>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>End Uses By Subcategory</b><br><br>
<!-- FullName:Demand End Use Components Summary_Entire Facility_End Uses By Subcategory-->
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Subcategory</td>
<td align="right">Electricity [W]</td>
<td align="right">Natural Gas [W]</td>
<td align="right">Gasoline [W]</td>
<td align="right">Diesel [W]</td>
<td align="right">Coal [W]</td>
<td align="right">Fuel Oil No 1 [W]</td>
<td align="right">Fuel Oil No 2 [W]</td>
<td align="right">Propane [W]</td>
<td align="right">Other Fuel 1 [W]</td>
<td align="right">Other Fuel 2 [W]</td>
<td align="right">District Cooling [W]</td>
<td align="right">District Heating [W]</td>
<td align="right">Water [m3/s]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heating</td>
<td align="right">General</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 72233.34</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Cooling</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
<td align="right"> 45602.66</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Interior Lighting</td>
<td align="right">ELECTRIC EQUIPMENT#175785#GeneralLights</td>
<td align="right"> 2316.07</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">ELECTRIC EQUIPMENT#176293#GeneralLights</td>
<td align="right"> 1830.62</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">ELECTRIC EQUIPMENT#182393#GeneralLights</td>
<td align="right"> 987.24</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Exterior Lighting</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Interior Equipment</td>
<td align="right">ELECTRIC EQUIPMENT#175785#InteriorEquipment</td>
<td align="right"> 2105.52</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">ELECTRIC EQUIPMENT#176293#InteriorEquipment</td>
<td align="right"> 1664.20</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">ELECTRIC EQUIPMENT#182393#InteriorEquipment</td>
<td align="right"> 897.49</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Exterior Equipment</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Fans</td>
<td align="right">Ventilation (simple)</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Pumps</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heat Rejection</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Humidification</td>
<td align="right">General</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Heat Recovery</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Water Systems</td>
<td align="right">DHW 175785</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
<td align="right"> 9330.58</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">DHW 176293</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 7374.87</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">DHW 182393</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 3977.23</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Refrigeration</td>
<td align="right">General</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">Generators</td>
<td align="right">General</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=ComponentSizingSummary::EntireFacility></a>
<p>Report:<b> Component Sizing Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=AdaptiveComfortSummary::EntireFacility></a>
<p>Report:<b> Adaptive Comfort Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>Time Not Meeting the Adaptive Comfort Models during Occupied Hours</b><br><br>
<!-- FullName:Adaptive Comfort Summary_Entire Facility_Time Not Meeting the Adaptive Comfort Models during Occupied Hours-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">ASHRAE55 90% Acceptability Limits [Hours]</td>
<td align="right">ASHRAE55 80% Acceptability Limits [Hours]</td>
<td align="right">CEN15251 Category I Acceptability Limits [Hours]</td>
<td align="right">CEN15251 Category II Acceptability Limits [Hours]</td>
<td align="right">CEN15251 Category III Acceptability Limits [Hours]</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=ClimaticDataSummary::EntireFacility></a>
<p>Report:<b> Climatic Data Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>SizingPeriod:DesignDay</b><br><br>
<!-- FullName:Climatic Data Summary_Entire Facility_SizingPeriod:DesignDay-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Maximum Dry Bulb [C]</td>
<td align="right">Daily Temperature Range [deltaC]</td>
<td align="right">Humidity Value</td>
<td align="right">Humidity Type</td>
<td align="right">Wind Speed [m/s]</td>
<td align="right">Wind Direction</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">None</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
</table>
<br><br>
<b>Weather Statistics File</b><br><br>
<!-- FullName:Climatic Data Summary_Entire Facility_Weather Statistics File-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Value</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">None</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=EnvelopeSummary::EntireFacility></a>
<p>Report:<b> Envelope Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>Opaque Exterior</b><br><br>
<!-- FullName:Envelope Summary_Entire Facility_Opaque Exterior-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Construction</td>
<td align="right">Reflectance</td>
<td align="right">U-Factor with Film [W/m2-K]</td>
<td align="right">U-Factor no Film [W/m2-K]</td>
<td align="right">Gross Area [m2]</td>
<td align="right">Net Area [m2]</td>
<td align="right">Azimuth [deg]</td>
<td align="right">Tilt [deg]</td>
<td align="right">Cardinal Direction</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">FF11F32E-61F9-4CEB-A28E-E9D8A2D21D7A</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 79.35</td>
<td align="right"> 63.50</td>
<td align="right"> 89.98</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">E</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">3B6D9D89-A422-445A-B305-4E9D2F952782</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 1.88</td>
<td align="right"> 1.50</td>
<td align="right"> 270.07</td>
<td align="right"> 90.00</td>
<td align="right">W</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">9DCD5D84-78DF-4DA5-80C4-FAE17544226E</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 38.53</td>
<td align="right"> 30.83</td>
<td align="right"> 0.07</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">N</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">C8CD208F-797F-428F-94DC-277ADC9EF001</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 77.98</td>
<td align="right"> 62.40</td>
<td align="right"> 269.91</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">W</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">1B2839C9-4131-44CA-BD66-B4F56F1F1306</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 212.34</td>
<td align="right"> 169.91</td>
<td align="right"> 179.99</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">S</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">6ACF7617-7D20-4059-916F-A322696BF7D6</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.639</td>
<td align="right"> 0.713</td>
<td align="right"> 116.93</td>
<td align="right"> 116.93</td>
<td align="right"> 359.99</td>
<td align="right"> 180.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">C17F7386-D2BC-4D4A-B05A-E846AAABA4C3</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.649</td>
<td align="right"> 0.713</td>
<td align="right"> 116.93</td>
<td align="right"> 116.93</td>
<td align="right"> 0.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">F7A66C0B-F3E1-46C4-9AFE-F040250343B2</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 76.55</td>
<td align="right"> 61.25</td>
<td align="right"> 89.98</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">E</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">673F9DDD-64F1-4F17-AD3B-320A0F77383B</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 173.82</td>
<td align="right"> 139.09</td>
<td align="right"> 0.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">N</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">F0E8F86A-0DC1-4E31-B33E-3562FB8B2BDC</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 76.55</td>
<td align="right"> 61.25</td>
<td align="right"> 270.04</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">W</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">7F337640-75A0-437B-8C4F-6EC6A6B647DF</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.639</td>
<td align="right"> 0.713</td>
<td align="right"> 92.42</td>
<td align="right"> 92.42</td>
<td align="right"> 0.13</td>
<td align="right"> 180.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">69118BC1-AC76-440F-9C42-F25C672CE2F6</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.649</td>
<td align="right"> 0.713</td>
<td align="right"> 92.42</td>
<td align="right"> 92.42</td>
<td align="right"> 0.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">79EAC576-A260-4143-83B0-32CF204BBE7B</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 3.22</td>
<td align="right"> 2.58</td>
<td align="right"> 91.08</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">E</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">A43B5153-DA22-4FD3-A4FC-ED018BE3F5F0</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 106.72</td>
<td align="right"> 85.40</td>
<td align="right"> 2.33</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">N</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">EA75342E-1CCC-4A1D-9AE3-56FFEA395133</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 7.94</td>
<td align="right"> 6.35</td>
<td align="right"> 1.96</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">N</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">48A796FD-5D1F-463D-9357-C9E2182110A4</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 57.91</td>
<td align="right"> 46.34</td>
<td align="right"> 270.12</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">W</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">13EA4940-36E8-4E27-87EB-55C74E690355</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 114.28</td>
<td align="right"> 91.44</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 180.13</td>
<td align="right"> 90.00</td>
<td align="right">S</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">958929BB-ACD4-4629-AB9F-B6984E758263</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.644</td>
<td align="right"> 0.713</td>
<td align="right"> 50.34</td>
<td align="right"> 40.28</td>
<td align="right"> 90.40</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">E</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">6E6AFC12-5493-40C0-B7E5-DA42F550F2B5</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.639</td>
<td align="right"> 0.713</td>
<td align="right"> 99.69</td>
<td align="right"> 99.69</td>
<td align="right"> 270.40</td>
<td align="right"> 180.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">0B62F37E-EDEC-4014-A6D4-01279F8A3493</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.649</td>
<td align="right"> 0.713</td>
<td align="right"> 99.69</td>
<td align="right"> 99.69</td>
<td align="right"> 91.08</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</tr>
</table>
<br><br>
<b>Opaque Interior</b><br><br>
<!-- FullName:Envelope Summary_Entire Facility_Opaque Interior-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Construction</td>
<td align="right">Reflectance</td>
<td align="right">U-Factor with Film [W/m2-K]</td>
<td align="right">U-Factor no Film [W/m2-K]</td>
<td align="right">Gross Area [m2]</td>
<td align="right">Net Area [m2]</td>
<td align="right">Azimuth [deg]</td>
<td align="right">Tilt [deg]</td>
<td align="right">Cardinal Direction</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">4FA50238-068D-4E20-A2BA-8A5A0A93B796</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.609</td>
<td align="right"> 0.713</td>
<td align="right"> 173.90</td>
<td align="right"> 173.90</td>
<td align="right"> 0.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">N</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">DAD33850-1CAC-42D6-BABA-76AA1E6E4A4D</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">1981_1990_6</td>
<td align="right"> 0.40</td>
<td align="right"> 0.609</td>
<td align="right"> 0.713</td>
<td align="right"> 173.90</td>
<td align="right"> 173.90</td>
<td align="right"> 180.13</td>
<td align="right"> 90.00</td>
<td align="right">S</td>
</tr>
</table>
<br><br>
<b>Exterior Fenestration</b><br><br>
<!-- FullName:Envelope Summary_Entire Facility_Exterior Fenestration-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Construction</td>
<td align="right">Glass Area [m2]</td>
<td align="right">Frame Area [m2]</td>
<td align="right">Divider Area [m2]</td>
<td align="right">Area of One Opening [m2]</td>
<td align="right">Area of Multiplied Openings [m2]</td>
<td align="right">Glass U-Factor [W/m2-K]</td>
<td align="right">Glass SHGC</td>
<td align="right">Glass Visible Transmittance</td>
<td align="right">Frame Conductance [W/m2-K]</td>
<td align="right">Divider Conductance [W/m2-K]</td>
<td align="right">Shade Control</td>
<td align="right">Parent Surface</td>
<td align="right">Azimuth [deg]</td>
<td align="right">Tilt [deg]</td>
<td align="right">Cardinal Direction</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">FF11F32E-61F9-4CEB-A28E-E9D8A2D21D7A WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.85</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.85</td>
<td align="right"> 15.85</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">FF11F32E-61F9-4CEB-A28E-E9D8A2D21D7A</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 89.98</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">E</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">3B6D9D89-A422-445A-B305-4E9D2F952782 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.37</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.37</td>
<td align="right"> 0.37</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">3B6D9D89-A422-445A-B305-4E9D2F952782</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 270.07</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">W</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">9DCD5D84-78DF-4DA5-80C4-FAE17544226E WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 7.70</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 7.70</td>
<td align="right"> 7.70</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">9DCD5D84-78DF-4DA5-80C4-FAE17544226E</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.07</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">N</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">C8CD208F-797F-428F-94DC-277ADC9EF001 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.58</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.58</td>
<td align="right"> 15.58</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">C8CD208F-797F-428F-94DC-277ADC9EF001</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 269.91</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">W</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">1B2839C9-4131-44CA-BD66-B4F56F1F1306 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 42.43</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 42.43</td>
<td align="right"> 42.43</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">1B2839C9-4131-44CA-BD66-B4F56F1F1306</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 179.99</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">S</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">F7A66C0B-F3E1-46C4-9AFE-F040250343B2 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.29</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.29</td>
<td align="right"> 15.29</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">F7A66C0B-F3E1-46C4-9AFE-F040250343B2</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 89.98</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">E</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">673F9DDD-64F1-4F17-AD3B-320A0F77383B WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 34.73</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 34.73</td>
<td align="right"> 34.73</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">673F9DDD-64F1-4F17-AD3B-320A0F77383B</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">N</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">F0E8F86A-0DC1-4E31-B33E-3562FB8B2BDC WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.29</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 15.29</td>
<td align="right"> 15.29</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">F0E8F86A-0DC1-4E31-B33E-3562FB8B2BDC</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 270.04</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">W</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">79EAC576-A260-4143-83B0-32CF204BBE7B WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.64</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.64</td>
<td align="right"> 0.64</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">79EAC576-A260-4143-83B0-32CF204BBE7B</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 91.08</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">E</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">A43B5153-DA22-4FD3-A4FC-ED018BE3F5F0 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 21.32</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 21.32</td>
<td align="right"> 21.32</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">A43B5153-DA22-4FD3-A4FC-ED018BE3F5F0</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 2.33</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">N</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">EA75342E-1CCC-4A1D-9AE3-56FFEA395133 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1.59</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1.59</td>
<td align="right"> 1.59</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">EA75342E-1CCC-4A1D-9AE3-56FFEA395133</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1.96</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">N</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">48A796FD-5D1F-463D-9357-C9E2182110A4 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 11.57</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 11.57</td>
<td align="right"> 11.57</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">48A796FD-5D1F-463D-9357-C9E2182110A4</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 270.12</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
<td align="right">W</td>
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">13EA4940-36E8-4E27-87EB-55C74E690355 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 22.83</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 22.83</td>
<td align="right"> 22.83</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">13EA4940-36E8-4E27-87EB-55C74E690355</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 180.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">S</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">958929BB-ACD4-4629-AB9F-B6984E758263 WINDOW</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">WINDOW_CONSTRUCTION_1</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 10.06</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 10.06</td>
<td align="right"> 10.06</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">No</td>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<td align="right">958929BB-ACD4-4629-AB9F-B6984E758263</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 90.40</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 90.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">E</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Total or Average</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 215.26</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">North Total or Average</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 65.34</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
<tr>
<td align="right">Non-North Total or Average</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 149.93</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 2.954</td>
<td align="right"> 0.391</td>
<td align="right"> 0.305</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Interior Fenestration</b><br><br>
<!-- FullName:Envelope Summary_Entire Facility_Interior Fenestration-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Construction</td>
<td align="right">Area of One Opening [m2]</td>
<td align="right">Area of Openings [m2]</td>
<td align="right">Glass U-Factor [W/m2-K]</td>
<td align="right">Glass SHGC</td>
<td align="right">Glass Visible Transmittance</td>
<td align="right">Parent Surface</td>
</tr>
<tr>
<td align="right">Total or Average</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right"> 0.00</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">-</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Exterior Door</b><br><br>
<!-- FullName:Envelope Summary_Entire Facility_Exterior Door-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Construction</td>
<td align="right">U-Factor with Film [W/m2-K]</td>
<td align="right">U-Factor no Film [W/m2-K]</td>
<td align="right">Gross Area [m2]</td>
<td align="right">Parent Surface</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Interior Door</b><br><br>
<!-- FullName:Envelope Summary_Entire Facility_Interior Door-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Construction</td>
<td align="right">U-Factor with Film [W/m2-K]</td>
<td align="right">U-Factor no Film [W/m2-K]</td>
<td align="right">Gross Area [m2]</td>
<td align="right">Parent Surface</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=LightingSummary::EntireFacility></a>
<p>Report:<b> Lighting Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Interior Lighting</b><br><br>
<!-- FullName:Lighting Summary_Entire Facility_Interior Lighting-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Zone</td>
<td align="right">Lighting Power Density [W/m2]</td>
<td align="right">Zone Area [m2]</td>
<td align="right">Total Power [W]</td>
<td align="right">End Use Subcategory</td>
<td align="right">Schedule Name</td>
<td align="right">Scheduled Hours/Week [hr]</td>
<td align="right">Hours/Week &gt; 1% [hr]</td>
<td align="right">Full Load Hours/Week [hr]</td>
<td align="right">Return Air Fraction</td>
<td align="right">Conditioned (Y/N)</td>
<td align="right">Consumption [kWh]</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785_LIGHTS</td>
<td align="right">175785</td>
<td align="right"> 22.0080</td>
<td align="right"> 116.93</td>
<td align="right"> 2573.42</td>
<td align="right">ELECTRIC EQUIPMENT#175785#GeneralLights</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">LIGHTING SCHEDULES 100-MULTI-UNIT RESIDENTIAL BUILDING</td>
<td align="right"> 39.20</td>
<td align="right"> 63.00</td>
<td align="right"> 39.20</td>
<td align="right"> 0.0000</td>
<td align="right">Y</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 5259.87</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293_LIGHTS</td>
<td align="right">176293</td>
<td align="right"> 22.0080</td>
<td align="right"> 92.42</td>
<td align="right"> 2034.02</td>
<td align="right">ELECTRIC EQUIPMENT#176293#GeneralLights</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">LIGHTING SCHEDULES 100-MULTI-UNIT RESIDENTIAL BUILDING</td>
<td align="right"> 39.20</td>
<td align="right"> 63.00</td>
<td align="right"> 39.20</td>
<td align="right"> 0.0000</td>
<td align="right">Y</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 4157.39</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393_LIGHTS</td>
<td align="right">182393</td>
<td align="right"> 11.0040</td>
<td align="right"> 99.69</td>
<td align="right"> 1096.94</td>
<td align="right">ELECTRIC EQUIPMENT#182393#GeneralLights</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">LIGHTING SCHEDULES 100-MULTI-UNIT RESIDENTIAL BUILDING</td>
<td align="right"> 39.20</td>
<td align="right"> 63.00</td>
<td align="right"> 39.20</td>
<td align="right"> 0.0000</td>
<td align="right">Y</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 2242.06</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Interior Lighting Total</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 18.4585</td>
<td align="right"> 309.04</td>
<td align="right"> 5704.37</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 11659.32</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<br><br>
<b>Daylighting</b><br><br>
<!-- FullName:Lighting Summary_Entire Facility_Daylighting-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Zone</td>
<td align="right">Control Name</td>
<td align="right">Daylighting Method</td>
<td align="right">Control Type</td>
<td align="right">Fraction Controlled</td>
<td align="right">Lighting Installed in Zone [W]</td>
<td align="right">Lighting Controlled [W]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Exterior Lighting</b><br><br>
<!-- FullName:Lighting Summary_Entire Facility_Exterior Lighting-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Total Watts</td>
<td align="right">Astronomical Clock/Schedule</td>
<td align="right">Schedule Name</td>
<td align="right">Scheduled Hours/Week [hr]</td>
<td align="right">Hours/Week &gt; 1% [hr]</td>
<td align="right">Full Load Hours/Week [hr]</td>
<td align="right">Consumption [kWh]</td>
</tr>
<tr>
<td align="right">Exterior Lighting Total</td>
<td align="right"> 0.00</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right"> 0.00</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=EquipmentSummary::EntireFacility></a>
<p>Report:<b> Equipment Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Central Plant</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_Central Plant-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Type</td>
<td align="right">Nominal Capacity [W]</td>
<td align="right">Nominal Efficiency [W/W]</td>
<td align="right">IPLV in SI Units [W/W]</td>
<td align="right">IPLV in IP Units [Btu/W-h]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Cooling Coils</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_Cooling Coils-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Type</td>
<td align="right">Design Coil Load [W]</td>
<td align="right">Nominal Total Capacity [W]</td>
<td align="right">Nominal Sensible Capacity [W]</td>
<td align="right">Nominal Latent Capacity [W]</td>
<td align="right">Nominal Sensible Heat Ratio</td>
<td align="right">Nominal Efficiency [W/W]</td>
<td align="right">Nominal Coil UA Value [W/C]</td>
<td align="right">Nominal Coil Surface Area [m2]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>DX Cooling Coils</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_DX Cooling Coils-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">DX Cooling Coil Type</td>
<td align="right">Standard Rated Net Cooling Capacity [W]</td>
<td align="right">Standard Rated Net COP [W/W]</td>
<td align="right">EER [Btu/W-h]</td>
<td align="right">SEER User [Btu/W-h]</td>
<td align="right">SEER Standard [Btu/W-h]</td>
<td align="right">IEER [Btu/W-h]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>DX Cooling Coil ASHRAE 127 Standard Ratings Report</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_DX Cooling Coil ASHRAE 127 Standard Ratings Report-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">DX Cooling Coil Type</td>
<td align="right">Rated Net Cooling Capacity Test A [W]</td>
<td align="right">Rated Electric Power Test A [W]</td>
<td align="right">Rated Net Cooling Capacity Test B [W]</td>
<td align="right">Rated Electric Power Test B [W]</td>
<td align="right">Rated Net Cooling Capacity Test C [W]</td>
<td align="right">Rated Electric Power Test C [W]</td>
<td align="right">Rated Net Cooling Capacity Test D [W]</td>
<td align="right">Rated Electric Power Test D [W]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>DX Heating Coils</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_DX Heating Coils-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">DX Heating Coil Type</td>
<td align="right">High Temperature Heating (net) Rating Capacity [W]</td>
<td align="right">Low Temperature Heating (net) Rating Capacity [W]</td>
<td align="right">HSPF [Btu/W-h]</td>
<td align="right">Region Number</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Heating Coils</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_Heating Coils-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Type</td>
<td align="right">Design Coil Load [W]</td>
<td align="right">Nominal Total Capacity [W]</td>
<td align="right">Nominal Efficiency [W/W]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Fans</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_Fans-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Type</td>
<td align="right">Total Efficiency [W/W]</td>
<td align="right">Delta Pressure [pa]</td>
<td align="right">Max Air Flow Rate [m3/s]</td>
<td align="right">Rated Electricity Rate [W]</td>
<td align="right">Rated Power Per Max Air Flow Rate [W-s/m3]</td>
<td align="right">Motor Heat In Air Fraction</td>
<td align="right">Fan Energy Index</td>
<td align="right">End Use Subcategory</td>
<td align="right">Design Day Name for Fan Sizing Peak</td>
<td align="right">Date/Time for Fan Sizing Peak</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Pumps</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_Pumps-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Type</td>
<td align="right">Control</td>
<td align="right">Head [pa]</td>
<td align="right">Water Flow [m3/s]</td>
<td align="right">Electricity Rate [W]</td>
<td align="right">Power Per Water Flow Rate [W-s/m3]</td>
<td align="right">Motor Efficiency [W/W]</td>
<td align="right">End Use Subcategory</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Service Water Heating</b><br><br>
<!-- FullName:Equipment Summary_Entire Facility_Service Water Heating-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Type</td>
<td align="right">Storage Volume [m3]</td>
<td align="right">Input [W]</td>
<td align="right">Thermal Efficiency [W/W]</td>
<td align="right">Recovery Efficiency [W/W]</td>
<td align="right">Energy Factor</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=HVACSizingSummary::EntireFacility></a>
<p>Report:<b> HVAC Sizing Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Zone Sensible Cooling</b><br><br>
<!-- FullName:HVAC Sizing Summary_Entire Facility_Zone Sensible Cooling-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Calculated Design Load [W]</td>
<td align="right">User Design Load [W]</td>
<td align="right">User Design Load per Area [W/m2]</td>
<td align="right">Calculated Design Air Flow [m3/s]</td>
<td align="right">User Design Air Flow [m3/s]</td>
<td align="right">Design Day Name</td>
<td align="right">Date/Time Of Peak {TIMESTAMP}</td>
<td align="right">Thermostat Setpoint Temperature at Peak Load [C]</td>
<td align="right">Indoor Temperature at Peak Load [C]</td>
<td align="right">Indoor Humidity Ratio at Peak Load [kgWater/kgDryAir]</td>
<td align="right">Outdoor Temperature at Peak Load [C]</td>
<td align="right">Outdoor Humidity Ratio at Peak Load [kgWater/kgDryAir]</td>
<td align="right">Minimum Outdoor Air Flow Rate [m3/s]</td>
<td align="right">Heat Gain Rate from DOAS [W]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<i>The Design Load is the zone sensible load only. It does not include any system effects or ventilation loads.</i>
<br><br>
<b>Zone Sensible Heating</b><br><br>
<!-- FullName:HVAC Sizing Summary_Entire Facility_Zone Sensible Heating-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Calculated Design Load [W]</td>
<td align="right">User Design Load [W]</td>
<td align="right">User Design Load per Area [W/m2]</td>
<td align="right">Calculated Design Air Flow [m3/s]</td>
<td align="right">User Design Air Flow [m3/s]</td>
<td align="right">Design Day Name</td>
<td align="right">Date/Time Of Peak {TIMESTAMP}</td>
<td align="right">Thermostat Setpoint Temperature at Peak Load [C]</td>
<td align="right">Indoor Temperature at Peak Load [C]</td>
<td align="right">Indoor Humidity Ratio at Peak Load [kgWater/kgDryAir]</td>
<td align="right">Outdoor Temperature at Peak Load [C]</td>
<td align="right">Outdoor Humidity Ratio at Peak Load [kgWater/kgDryAir]</td>
<td align="right">Minimum Outdoor Air Flow Rate [m3/s]</td>
<td align="right">Heat Gain Rate from DOAS [W]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<i>The Design Load is the zone sensible load only. It does not include any system effects or ventilation loads.</i>
<br><br>
<b>System Design Air Flow Rates</b><br><br>
<!-- FullName:HVAC Sizing Summary_Entire Facility_System Design Air Flow Rates-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Calculated cooling [m3/s]</td>
<td align="right">User cooling [m3/s]</td>
<td align="right">Calculated heating [m3/s]</td>
<td align="right">User heating [m3/s]</td>
<td align="right">Adjusted cooling [m3/s]</td>
<td align="right">Adjusted heating [m3/s]</td>
<td align="right">Adjusted main [m3/s]</td>
<td align="right">Calculated Heating Air Flow Ratio []</td>
<td align="right">User Heating Air Flow Ratio []</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Plant Loop Coincident Design Fluid Flow Rate Adjustments</b><br><br>
<!-- FullName:HVAC Sizing Summary_Entire Facility_Plant Loop Coincident Design Fluid Flow Rate Adjustments-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Previous Design Volume Flow Rate [m3/s]</td>
<td align="right">Algorithm Volume Flow Rate [m3/s]</td>
<td align="right">Coincident Design Volume Flow Rate [m3/s]</td>
<td align="right">Coincident Size Adjusted</td>
<td align="right">Peak Sizing Period Name</td>
<td align="right">Peak Day into Period {TIMESTAMP}[day]</td>
<td align="right">Peak Hour Of Day {TIMESTAMP}[hr]</td>
<td align="right">Peak Step Start Minute {TIMESTAMP}[min]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Coil Sizing Summary</b><br><br>
<!-- FullName:HVAC Sizing Summary_Entire Facility_Coil Sizing Summary-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Coil Type</td>
<td align="right">HVAC Type</td>
<td align="right">HVAC Name</td>
<td align="right">Coil Final Gross Total Capacity [W]</td>
<td align="right">Coil Final Gross Sensible Capacity [W]</td>
<td align="right">Coil Final Reference Air Volume Flow Rate [m3/s]</td>
<td align="right">Coil Final Reference Plant Fluid Volume Flow Rate [m3/s]</td>
<td align="right">Coil U-value Times Area Value [W/K]</td>
<td align="right">Design Day Name at Sensible Ideal Loads Peak</td>
<td align="right">Date/Time at Sensible Ideal Loads Peak</td>
<td align="right">Design Day Name at Air Flow Ideal Loads Peak</td>
<td align="right">Date/Time at Air Flow Ideal Loads Peak</td>
<td align="right">Coil Total Capacity at Ideal Loads Peak [W]</td>
<td align="right">Coil Sensible Capacity at Ideal Loads Peak [W]</td>
<td align="right">Coil Air Volume Flow Rate at Ideal Loads Peak [m3/s]</td>
<td align="right">Coil Entering Air Drybulb at Ideal Loads Peak [C]</td>
<td align="right">Coil Entering Air Wetbulb at Ideal Loads Peak [C]</td>
<td align="right">Coil Entering Air Humidity Ratio at Ideal Loads Peak [kgWater/kgDryAir]</td>
<td align="right">Coil Leaving Air Drybulb at Ideal Loads Peak [C]</td>
<td align="right">Coil Leaving Air Wetbulb at Ideal Loads Peak [C]</td>
<td align="right">Coil Leaving Air Humidity Ratio at Ideal Loads Peak [kgWater/kgDryAir]</td>
<td align="right">Outdoor Air Drybulb at Ideal Loads Peak [C]</td>
<td align="right">Outdoor Air Humidity Ratio at Ideal Loads Peak [kgWater/kgDryAir]</td>
<td align="right">Outdoor Air Wetbulb at Ideal Loads Peak [C]</td>
<td align="right">Outdoor Air Flow Percentage at Ideal Loads Peak [%]</td>
<td align="right">Zone Air Drybulb at Ideal Loads Peak [C]</td>
<td align="right">Zone Air Humidity Ratio at Ideal Loads Peak [kgWater/kgDryAir]</td>
<td align="right">Zone Air Relative Humidity at Ideal Loads Peak [%]</td>
<td align="right">Zone Sensible Heat Gain at Ideal Loads Peak [W]</td>
<td align="right">Zone Latent Heat Gain at Ideal Loads Peak [W]</td>
<td align="right">Coil Total Capacity at Rating Conditions [W]</td>
<td align="right">Coil Sensible Capacity at Rating Conditions [W]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=SystemSummary::EntireFacility></a>
<p>Report:<b> System Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Economizer</b><br><br>
<!-- FullName:System Summary_Entire Facility_Economizer-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">High Limit Shutoff Control</td>
<td align="right">Minimum Outdoor Air [m3/s]</td>
<td align="right">Maximum Outdoor Air [m3/s]</td>
<td align="right">Return Air Temp Limit</td>
<td align="right">Return Air Enthalpy Limit</td>
<td align="right">Outdoor Air Temperature Limit [C]</td>
<td align="right">Outdoor Air Enthalpy Limit [C]</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
</tr>
</table>
<br><br>
<b>Demand Controlled Ventilation using Controller:MechanicalVentilation</b><br><br>
<!-- FullName:System Summary_Entire Facility_Demand Controlled Ventilation using Controller:MechanicalVentilation-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Controller:MechanicalVentilation Name</td>
<td align="right">Outdoor Air Per Person [m3/s-person]</td>
<td align="right">Outdoor Air Per Area [m3/s-m2]</td>
<td align="right">Outdoor Air Per Zone [m3/s]</td>
<td align="right">Outdoor Air ACH [ach]</td>
<td align="right">Outdoor Air Method</td>
<td align="right">Outdoor Air Schedule Name</td>
<td align="right">Air Distribution Effectiveness in Cooling Mode</td>
<td align="right">Air Distribution Effectiveness in Heating Mode</td>
<td align="right">Air Distribution Effectiveness Schedule Name</td>
</tr>
<tr>
<td align="right">None</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
<td align="right">&nbsp;</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</table>
<br><br>
<b>Time Not Comfortable Based on Simple ASHRAE 55-2004</b><br><br>
<!-- FullName:System Summary_Entire Facility_Time Not Comfortable Based on Simple ASHRAE 55-2004-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Winter Clothes [hr]</td>
<td align="right">Summer Clothes [hr]</td>
<td align="right">Summer or Winter Clothes [hr]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
<td align="right"> 6488.00</td>
<td align="right"> 6546.00</td>
<td align="right"> 4705.50</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
<td align="right"> 6574.50</td>
<td align="right"> 6807.50</td>
<td align="right"> 5004.50</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
<td align="right"> 6624.75</td>
<td align="right"> 6733.50</td>
<td align="right"> 5006.75</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Facility</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 7106.25</td>
<td align="right"> 7011.75</td>
<td align="right"> 5311.25</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<i>Aggregated over the RunPeriods for Weather</i>
<br><br>
<b>Time Setpoint Not Met</b><br><br>
<!-- FullName:System Summary_Entire Facility_Time Setpoint Not Met-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">During Heating [hr]</td>
<td align="right">During Cooling [hr]</td>
<td align="right">During Occupied Heating [hr]</td>
<td align="right">During Occupied Cooling [hr]</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Facility</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
</table>
<i>Aggregated over the RunPeriods for Weather</i>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=OutdoorAirSummary::EntireFacility></a>
<p>Report:<b> Outdoor Air Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Average Outdoor Air During Occupied Hours</b><br><br>
<!-- FullName:Outdoor Air Summary_Entire Facility_Average Outdoor Air During Occupied Hours-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Average Number of Occupants</td>
<td align="right">Nominal Number of Occupants</td>
<td align="right">Zone Volume [m3]</td>
<td align="right">Mechanical Ventilation [ach]</td>
<td align="right">Infiltration [ach]</td>
<td align="right">AFN Infiltration [ach]</td>
<td align="right">Simple Ventilation [ach]</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
<td align="right"> 12.66</td>
<td align="right"> 18.72</td>
<td align="right"> 1403.17</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.387</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
<td align="right"> 10.01</td>
<td align="right"> 14.79</td>
<td align="right"> 1109.06</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.387</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
<td align="right"> 5.40</td>
<td align="right"> 7.98</td>
<td align="right"> 797.48</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.290</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<i>Values shown for a single zone without multipliers</i>
<br><br>
<b>Minimum Outdoor Air During Occupied Hours</b><br><br>
<!-- FullName:Outdoor Air Summary_Entire Facility_Minimum Outdoor Air During Occupied Hours-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Average Number of Occupants</td>
<td align="right">Nominal Number of Occupants</td>
<td align="right">Zone Volume [m3]</td>
<td align="right">Mechanical Ventilation [ach]</td>
<td align="right">Infiltration [ach]</td>
<td align="right">AFN Infiltration [ach]</td>
<td align="right">Simple Ventilation [ach]</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
<td align="right"> 12.66</td>
<td align="right"> 18.72</td>
<td align="right"> 1403.17</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.007</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
<td align="right"> 10.01</td>
<td align="right"> 14.79</td>
<td align="right"> 1109.06</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.007</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
<td align="right"> 5.40</td>
<td align="right"> 7.98</td>
<td align="right"> 797.48</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 0.005</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<i>Values shown for a single zone without multipliers</i>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=ObjectCountSummary::EntireFacility></a>
<p>Report:<b> Object Count Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<b>Surfaces by Class</b><br><br>
<!-- FullName:Object Count Summary_Entire Facility_Surfaces by Class-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Total</td>
<td align="right">Outdoors</td>
</tr>
<tr>
<td align="right">Wall</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 16</td>
<td align="right"> 14</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Floor</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 3</td>
<td align="right"> 3</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Roof</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 3</td>
<td align="right"> 3</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Internal Mass</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Building Detached Shading</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Fixed Detached Shading</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Window</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 14</td>
<td align="right"> 14</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Door</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Glass Door</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Shading</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Overhang</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Fin</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Tubular Daylighting Device Dome</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Tubular Daylighting Device Diffuser</td>
<td align="right"> 0</td>
<td align="right"> 0</td>
</tr>
</table>
<br><br>
<b>HVAC</b><br><br>
<!-- FullName:Object Count Summary_Entire Facility_HVAC-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Count</td>
</tr>
<tr>
<td align="right">HVAC Air Loops</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Conditioned Zones</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 3</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Unconditioned Zones</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Supply Plenums</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Return Plenums</td>
<td align="right"> 0</td>
</tr>
</table>
<br><br>
<b>Input Fields</b><br><br>
<!-- FullName:Object Count Summary_Entire Facility_Input Fields-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Count</td>
</tr>
<tr>
<td align="right">IDF Objects</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 113</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Defaulted Fields</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 8</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Fields with Defaults</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 401</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Autosized Fields</td>
<td align="right"> 0</td>
</tr>
<tr>
<td align="right">Autosizable Fields</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 12</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Autocalculated Fields</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 81</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Autocalculatable Fields</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 84</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
</table>
<br><br>
<hr>
<p><a href="#toc" style="float: right">Table of Contents</a></p>
<a name=SensibleHeatGainSummary::EntireFacility></a>
<p>Report:<b> Sensible Heat Gain Summary</b></p>
<p>For:<b> Entire Facility</b></p>
an attribute (heating_consumption_disaggregated) is added to building.py
2024-01-18 14:25:08 -05:00
<p>Timestamp: <b>2024-01-18
14:11:45</b></p>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<b>Annual Building Sensible Heat Gain Components</b><br><br>
<!-- FullName:Sensible Heat Gain Summary_Entire Facility_Annual Building Sensible Heat Gain Components-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">HVAC Zone Eq &amp; Other Sensible Air Heating [kWh]</td>
<td align="right">HVAC Zone Eq &amp; Other Sensible Air Cooling [kWh]</td>
<td align="right">HVAC Terminal Unit Sensible Air Heating [kWh]</td>
<td align="right">HVAC Terminal Unit Sensible Air Cooling [kWh]</td>
<td align="right">HVAC Input Heated Surface Heating [kWh]</td>
<td align="right">HVAC Input Cooled Surface Cooling [kWh]</td>
<td align="right">People Sensible Heat Addition [kWh]</td>
<td align="right">Lights Sensible Heat Addition [kWh]</td>
<td align="right">Equipment Sensible Heat Addition [kWh]</td>
<td align="right">Window Heat Addition [kWh]</td>
<td align="right">Interzone Air Transfer Heat Addition [kWh]</td>
<td align="right">Infiltration Heat Addition [kWh]</td>
<td align="right">Opaque Surface Conduction and Other Heat Addition [kWh]</td>
<td align="right">Equipment Sensible Heat Removal [kWh]</td>
<td align="right">Window Heat Removal [kWh]</td>
<td align="right">Interzone Air Transfer Heat Removal [kWh]</td>
<td align="right">Infiltration Heat Removal [kWh]</td>
<td align="right">Opaque Surface Conduction and Other Heat Removal [kWh]</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
<td align="right"> 43048.351</td>
<td align="right"> -12346.47</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 9408.890</td>
<td align="right"> 5260.065</td>
<td align="right"> 9051.411</td>
<td align="right"> 14802.112</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 161.085</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -17395.07</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -25721.02</td>
<td align="right"> -26269.36</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
<td align="right"> 38609.040</td>
<td align="right"> -7666.35</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 7449.341</td>
<td align="right"> 4157.541</td>
<td align="right"> 7154.210</td>
<td align="right"> 7096.867</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 127.321</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -14980.01</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -20253.67</td>
<td align="right"> -21694.29</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
<td align="right"> 32346.619</td>
<td align="right"> -7050.46</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 4038.987</td>
<td align="right"> 2242.140</td>
<td align="right"> 3858.228</td>
<td align="right"> 10037.769</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 69.058</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -14033.41</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -10884.82</td>
<td align="right"> -20624.10</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Total Facility</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 114004.011</td>
<td align="right"> -27063.27</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 20897.218</td>
<td align="right"> 11659.746</td>
<td align="right"> 20063.848</td>
<td align="right"> 31936.748</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 357.465</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -46408.49</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.000</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -56859.52</td>
<td align="right"> -68587.75</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<br><br>
<b>Peak Cooling Sensible Heat Gain Components</b><br><br>
<!-- FullName:Sensible Heat Gain Summary_Entire Facility_Peak Cooling Sensible Heat Gain Components-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Time of Peak {TIMESTAMP}</td>
<td align="right">HVAC Zone Eq &amp; Other Sensible Air Heating [W]</td>
<td align="right">HVAC Zone Eq &amp; Other Sensible Air Cooling [W]</td>
<td align="right">HVAC Terminal Unit Sensible Air Heating [W]</td>
<td align="right">HVAC Terminal Unit Sensible Air Cooling [W]</td>
<td align="right">HVAC Input Heated Surface Heating [W]</td>
<td align="right">HVAC Input Cooled Surface Cooling [W]</td>
<td align="right">People Sensible Heat Addition [W]</td>
<td align="right">Lights Sensible Heat Addition [W]</td>
<td align="right">Equipment Sensible Heat Addition [W]</td>
<td align="right">Window Heat Addition [W]</td>
<td align="right">Interzone Air Transfer Heat Addition [W]</td>
<td align="right">Infiltration Heat Addition [W]</td>
<td align="right">Opaque Surface Conduction and Other Heat Addition [W]</td>
<td align="right">Equipment Sensible Heat Removal [W]</td>
<td align="right">Window Heat Removal [W]</td>
<td align="right">Interzone Air Transfer Heat Removal [W]</td>
<td align="right">Infiltration Heat Removal [W]</td>
<td align="right">Opaque Surface Conduction and Other Heat Removal [W]</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">15-AUG-14:00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -17068.90</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 410.61</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 935.79</td>
<td align="right"> 11320.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1194.62</td>
<td align="right"> 3207.88</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> -0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
<td align="right">19-JUL-18:30</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -11505.90</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 973.64</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1664.20</td>
<td align="right"> 6601.36</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 713.40</td>
<td align="right"> 1553.30</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> -0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">15-AUG-14:00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -11080.13</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 175.03</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 398.89</td>
<td align="right"> 7757.96</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 510.12</td>
<td align="right"> 2238.15</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> -0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
<tr>
<td align="right">Total Facility</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">15-AUG-14:30</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -37585.08</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 910.18</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 2074.32</td>
<td align="right"> 23736.81</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 2647.74</td>
<td align="right"> 8216.03</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
</tr>
</table>
<br><br>
<b>Peak Heating Sensible Heat Gain Components</b><br><br>
<!-- FullName:Sensible Heat Gain Summary_Entire Facility_Peak Heating Sensible Heat Gain Components-->
<table border="1" cellpadding="4" cellspacing="0">
<tr><td></td>
<td align="right">Time of Peak {TIMESTAMP}</td>
<td align="right">HVAC Zone Eq &amp; Other Sensible Air Heating [W]</td>
<td align="right">HVAC Zone Eq &amp; Other Sensible Air Cooling [W]</td>
<td align="right">HVAC Terminal Unit Sensible Air Heating [W]</td>
<td align="right">HVAC Terminal Unit Sensible Air Cooling [W]</td>
<td align="right">HVAC Input Heated Surface Heating [W]</td>
<td align="right">HVAC Input Cooled Surface Cooling [W]</td>
<td align="right">People Sensible Heat Addition [W]</td>
<td align="right">Lights Sensible Heat Addition [W]</td>
<td align="right">Equipment Sensible Heat Addition [W]</td>
<td align="right">Window Heat Addition [W]</td>
<td align="right">Interzone Air Transfer Heat Addition [W]</td>
<td align="right">Infiltration Heat Addition [W]</td>
<td align="right">Opaque Surface Conduction and Other Heat Addition [W]</td>
<td align="right">Equipment Sensible Heat Removal [W]</td>
<td align="right">Window Heat Removal [W]</td>
<td align="right">Interzone Air Transfer Heat Removal [W]</td>
<td align="right">Infiltration Heat Removal [W]</td>
<td align="right">Opaque Surface Conduction and Other Heat Removal [W]</td>
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">175785</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">12-JAN-07:03</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 62764.69</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1327.44</td>
<td align="right"> 1286.71</td>
<td align="right"> 1871.57</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -7102.44</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -8506.39</td>
<td align="right"> -51641.58</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">176293</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right">12-JAN-07:03</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 50123.61</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 1049.21</td>
<td align="right"> 1017.01</td>
<td align="right"> 1479.29</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -5797.15</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -6723.29</td>
<td align="right"> -41148.67</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">182393</td>
<td align="right">12-JAN-07:03</td>
<td align="right"> 39192.40</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 565.83</td>
<td align="right"> 548.47</td>
<td align="right"> 797.77</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -5843.18</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -3623.55</td>
<td align="right"> -31637.75</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
<tr>
<td align="right">Total Facility</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right">12-JAN-07:03</td>
<td align="right"> 152080.70</td>
<td align="right"> 0.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> 2942.49</td>
<td align="right"> 2852.19</td>
<td align="right"> 4148.63</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -18742.76</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
<td align="right"> 0.00</td>
a script named energy_system_sizing.py is created in the importers to size the energy system components. This is a very simple sizing process where we only size the heat pump and boiler for 60 and 40 percent of the maximum demand The class SystemSimulation in system_simulation.py is created to contain all the simulation models of different archetypes. main.py is modified to randomly assign base case systems to city and print the heating consumption, and then assign a new system to all buildings and calculate the heating consumption again
2024-01-17 13:10:39 -05:00
<td align="right"> -18853.24</td>
<td align="right"> -124428.00</td>
geojson_creator.py is changed to a function getting x, y, and diff as input to generate the .geojson file in main.py city is created and using ep_workflow.py the building demands are calculated and buildings are enriched.
2023-12-20 15:33:50 -05:00
</tr>
</table>
<br><br>
</body>
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