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README.md
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README.md
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# monthly_energy_balance_workflow
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This tool calculates the monthly energy balance for each building in a given region.
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It provides as results the energy demand and consumption separated in:
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- Heating
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- Cooling
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- Domestic Hot Water
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Also, electrical demand of:
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- Lighting
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- Other appliances
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And heating and cooling peak loads.
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All these results are provided both, monthly a yearly based.
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The following assumptions are taken:
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- No building in the region have attics
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- All buildings have basement but those are not heated
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- The construction details come from nrel
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- The usage details come from comnet
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- The heated volume is 85% of the total volume, assuming that the rest is occupied by internal walls
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- The construction details come from nrcan
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- The usage details come from nrcan
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- The system details come from the Montreal Custom catalog
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#### Dependencies
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@ -18,50 +30,3 @@ You will need to install the following dependencies in your computer in order to
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+ Simplified Radiosity Algorithm (mail to: guillermo.gutierrezmorote@concordia.ca)
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After installing these tools you should include their paths in Path.
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## installation
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##### Linux / Mac
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Open a terminal and run the following commands.
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```
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$ mkdir monthly_enery_balance_workflow
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$ cd monthly_enery_balance_workflow
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$ git clone https://binarycat.org/git/PMAU/monthly_enery_balance_workflow.git
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MISSING CONNECTING TO HUB, SIMLPIFIED_RADIOSITY_ALGORITHM AND MONTHLYENERGYBALANCE!!!!!!!!!
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$ python -m pip install -r ../requirements.txt
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```
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##### Windows
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Open a terminal and run the following commands.
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```
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c:\> mkdir monthly_enery_balance_workflow
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c:\> cd monthly_enery_balance_workflow
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c:\> git clone https://binarycat.org/git/PMAU/monthly_enery_balance_workflow.git
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MISSING CONNECTING TO HUB, SIMLPIFIED_RADIOSITY_ALGORITHM AND MONTHLYENERGYBALANCE!!!!!!!!!
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c:\> python.exe -m pip install -r ../requirements.txt
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```
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#### usage
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##### Linux / Mac
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Open a terminal and run the following command
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```
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$ python main.py
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```
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##### Windows
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Open a terminal and run the following command.
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```
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c:\> python.exe main.py
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```
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@ -1,5 +1,5 @@
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"""
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EnergySystemsDimensioning enriches the city buildings energy systems
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EnergySystemsSizing enriches the city buildings energy systems
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with the parameters related to the systems dimensioning
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2023 Concordia CERC group
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@ -15,9 +15,9 @@ from hub.city_model_structure.energy_systems.distribution_system import Distribu
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from hub.city_model_structure.energy_systems.emission_system import EmissionSystem
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class EnergySystemsDimensioning:
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class EnergySystemsSizing:
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"""
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EnergySystemsDimensioning class
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EnergySystemsSizing class
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"""
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def __init__(self, city):
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self._city = city
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main.py
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main.py
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from results import Results
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from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
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from sra_engine import SraEngine
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from energy_systems_dimensioning import EnergySystemsDimensioning
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from energy_systems_sizing import EnergySystemsSizing
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try:
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@ -42,6 +42,10 @@ try:
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print('enrich constructions... done')
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UsageFactory(usage_format, city).enrich()
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print('enrich usage... done')
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for building in city.buildings:
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building.energy_systems_archetype_name = 'system 1 gas'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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print('enrich systems... done')
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print('exporting:')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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@ -51,10 +55,7 @@ try:
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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print(' insel processed...')
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for building in city.buildings:
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building.energy_systems_archetype_name = 'system 1 gas'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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EnergySystemsDimensioning(city).enrich()
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EnergySystemsSizing(city).enrich()
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print(' energy systems dimensioning processed...')
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results = Results(city, out_path)
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file += f'storeys: {int(building.eave_height / building.average_storey_height)}\n'
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else:
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file += f'storeys: n/a\n'
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file += f'heated_volume: {0.85 * building.volume}\n'
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file += f'volume: {building.volume}\n'
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full_path_results = Path(self._path / 'demand.csv').resolve()
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