feat: add all the simulation files

.gitignore

@@ -1,6 +1,5 @@
 !.gitignore
 **/venv/
-.idea/
 /development_tests/
 /data/energy_systems/heat_pumps/*.csv
 /data/energy_systems/heat_pumps/*.insel
@@ -8,9 +7,7 @@
 **/.env
 **/hub/logs/
 **/__pycache__/
-**/.idea/
 cerc_hub.egg-info
-/out_files
 /input_files/output_buildings.geojson
 */.pyc
 *.pyc

ALLIS.py

@@ -0,0 +1,146 @@
+from scripts.district_heating_network.directory_manager import DirectoryManager
+import subprocess
+from building_modelling.ep_run_enrich import energy_plus_workflow
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from hub.imports.results_factory import ResultFactory
+from building_modelling.geojson_creator import process_geojson
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+import matplotlib.pyplot as plt
+import numpy as np
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory
+import json
+
+# Manage File Path
+base_path = "./"
+dir_manager = DirectoryManager(base_path)
+
+# Input files directory
+input_files_path = dir_manager.create_directory('input_files')
+geojson_file_path = input_files_path / 'MACH.geojson'
+pipe_data_file = input_files_path / 'pipe_data.json'
+
+# Output files directory
+output_path = dir_manager.create_directory('out_files')
+
+# Subdirectories for output files
+energy_plus_output_path = dir_manager.create_directory('out_files/energy_plus_outputs')
+simulation_results_path = dir_manager.create_directory('out_files/simulation_results')
+sra_output_path = dir_manager.create_directory('out_files/sra_outputs')
+cost_analysis_output_path = dir_manager.create_directory('out_files/cost_analysis')
+# Create ciry and run energyplus workflow
+city = GeometryFactory(file_type='geojson',
+                       path=geojson_file_path,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+
+# energy_plus_workflow(city, energy_plus_output_path)
+ResultFactory('energy_plus_multiple_buildings', city, energy_plus_output_path).enrich()
+
+# District Heating Network Creator
+central_plant_locations = [(-73.6641097164314, 45.433637169890005)]  # Add at least one location
+
+roads_file = "input_files/roads.json"
+
+dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file, central_plant_locations)
+
+network_graph = dhn_creator.run()
+
+
+# Pipe and pump sizing
+
+with open(pipe_data_file, 'r') as f:
+  pipe_data = json.load(f)
+
+factory = DistrictHeatingFactory(
+  city=city,
+  graph=network_graph,
+  supply_temperature=80 + 273,  # in Kelvin
+  return_temperature=60 + 273,  # in Kelvin
+  simultaneity_factor=0.9
+)
+
+factory.enrich()
+factory.sizing()
+factory.calculate_diameters_and_costs(pipe_data)
+pipe_groups, total_cost = factory.analyze_costs()
+
+# Save the pipe groups with total costs to a CSV file
+factory.save_pipe_groups_to_csv('pipe_groups.csv')
+
+import json
+import matplotlib.pyplot as plt
+import networkx as nx
+from shapely.geometry import shape, Polygon, MultiPolygon
+from shapely.validation import explain_validity
+
+# Load the GeoJSON file
+with open("input_files/MACH.geojson", "r") as file:
+    geojson_data = json.load(file)
+
+# Initialize a figure
+fig, ax = plt.subplots(figsize=(15, 10))
+# Set aspect to equal
+ax.set_aspect('equal')
+
+# Set figure and axes backgrounds to transparent
+fig.patch.set_facecolor('none')
+ax.set_facecolor('none')
+
+# Iterate over each feature in the GeoJSON
+for feature in geojson_data['features']:
+    geom = shape(feature['geometry'])
+
+    # Check if the geometry is valid
+    if not geom.is_valid:
+        print(f"Invalid geometry: {explain_validity(geom)}")
+        continue  # Skip invalid geometries
+
+    # Plot polygons
+    if isinstance(geom, Polygon):
+        x, y = geom.exterior.xy
+        ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    elif isinstance(geom, MultiPolygon):
+        for poly in geom.geoms:
+            x, y = poly.exterior.xy
+            ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    else:
+        print(f"Unhandled geometry type: {type(geom)}")
+        continue
+
+# Prepare and plot the network graph
+G = network_graph
+
+# Get positions from node attributes
+pos = nx.get_node_attributes(G, 'pos')
+
+# Draw nodes, using different colors based on node type
+node_types = nx.get_node_attributes(G, 'type')
+colors = {'building': 'blue', 'generation': 'green', 'junction': 'red'}
+node_colors = [colors.get(node_types.get(node, 'junction'), 'black') for node in G.nodes()]
+
+nx.draw_networkx_nodes(G, pos, ax=ax, node_size=50, node_color=node_colors)
+nx.draw_networkx_edges(G, pos, ax=ax, edge_color="red", width=1.2)
+
+# Remove axes, ticks, and background
+ax.axis("off")
+
+# Adjust plot limits to the data
+x_values = [coord[0] for coord in pos.values()]
+y_values = [coord[1] for coord in pos.values()]
+ax.set_xlim(min(x_values) - 0.001, max(x_values) + 0.001)
+ax.set_ylim(min(y_values) - 0.001, max(y_values) + 0.001)
+
+# Save the plot with transparency
+plt.savefig("network_plot.png", bbox_inches='tight', pad_inches=0, transparent=True)
+plt.show()

MACH.py

@@ -0,0 +1,146 @@
+from scripts.district_heating_network.directory_manager import DirectoryManager
+import subprocess
+from building_modelling.ep_run_enrich import energy_plus_workflow
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from hub.imports.results_factory import ResultFactory
+from building_modelling.geojson_creator import process_geojson
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+import matplotlib.pyplot as plt
+import numpy as np
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory
+import json
+
+# Manage File Path
+base_path = "./"
+dir_manager = DirectoryManager(base_path)
+
+# Input files directory
+input_files_path = dir_manager.create_directory('input_files')
+geojson_file_path = input_files_path / 'MAXX.geojson'
+pipe_data_file = input_files_path / 'pipe_data.json'
+
+# Output files directory
+output_path = dir_manager.create_directory('out_files')
+
+# Subdirectories for output files
+energy_plus_output_path = dir_manager.create_directory('out_files/energy_plus_outputs')
+simulation_results_path = dir_manager.create_directory('out_files/simulation_results')
+sra_output_path = dir_manager.create_directory('out_files/sra_outputs')
+cost_analysis_output_path = dir_manager.create_directory('out_files/cost_analysis')
+# Create ciry and run energyplus workflow
+city = GeometryFactory(file_type='geojson',
+                       path=geojson_file_path,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+
+# energy_plus_workflow(city, energy_plus_output_path)
+ResultFactory('energy_plus_multiple_buildings', city, energy_plus_output_path).enrich()
+
+# District Heating Network Creator
+central_plant_locations = [(-73.656602760176, 45.43968832385218) ]  # Add at least one location
+
+roads_file = "input_files/roads.json"
+
+dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file, central_plant_locations)
+
+network_graph = dhn_creator.run()
+
+
+# Pipe and pump sizing
+
+with open(pipe_data_file, 'r') as f:
+  pipe_data = json.load(f)
+
+factory = DistrictHeatingFactory(
+  city=city,
+  graph=network_graph,
+  supply_temperature=80 + 273,  # in Kelvin
+  return_temperature=60 + 273,  # in Kelvin
+  simultaneity_factor=0.9
+)
+
+factory.enrich()
+factory.sizing()
+factory.calculate_diameters_and_costs(pipe_data)
+pipe_groups, total_cost = factory.analyze_costs()
+
+# Save the pipe groups with total costs to a CSV file
+factory.save_pipe_groups_to_csv('pipe_groups.csv')
+
+import json
+import matplotlib.pyplot as plt
+import networkx as nx
+from shapely.geometry import shape, Polygon, MultiPolygon
+from shapely.validation import explain_validity
+
+# Load the GeoJSON file
+with open("input_files/MAXX.geojson", "r") as file:
+    geojson_data = json.load(file)
+
+# Initialize a figure
+fig, ax = plt.subplots(figsize=(15, 10))
+# Set aspect to equal
+ax.set_aspect('equal')
+
+# Set figure and axes backgrounds to transparent
+fig.patch.set_facecolor('none')
+ax.set_facecolor('none')
+
+# Iterate over each feature in the GeoJSON
+for feature in geojson_data['features']:
+    geom = shape(feature['geometry'])
+
+    # Check if the geometry is valid
+    if not geom.is_valid:
+        print(f"Invalid geometry: {explain_validity(geom)}")
+        continue  # Skip invalid geometries
+
+    # Plot polygons
+    if isinstance(geom, Polygon):
+        x, y = geom.exterior.xy
+        ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    elif isinstance(geom, MultiPolygon):
+        for poly in geom.geoms:
+            x, y = poly.exterior.xy
+            ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    else:
+        print(f"Unhandled geometry type: {type(geom)}")
+        continue
+
+# Prepare and plot the network graph
+G = network_graph
+
+# Get positions from node attributes
+pos = nx.get_node_attributes(G, 'pos')
+
+# Draw nodes, using different colors based on node type
+node_types = nx.get_node_attributes(G, 'type')
+colors = {'building': 'blue', 'generation': 'green', 'junction': 'red'}
+node_colors = [colors.get(node_types.get(node, 'junction'), 'black') for node in G.nodes()]
+
+nx.draw_networkx_nodes(G, pos, ax=ax, node_size=50, node_color=node_colors)
+nx.draw_networkx_edges(G, pos, ax=ax, edge_color="red", width=1.2)
+
+# Remove axes, ticks, and background
+ax.axis("off")
+
+# Adjust plot limits to the data
+x_values = [coord[0] for coord in pos.values()]
+y_values = [coord[1] for coord in pos.values()]
+ax.set_xlim(min(x_values) - 0.001, max(x_values) + 0.001)
+ax.set_ylim(min(y_values) - 0.001, max(y_values) + 0.001)
+
+# Save the plot with transparency
+plt.savefig("network_plot.png", bbox_inches='tight', pad_inches=0, transparent=True)
+plt.show()

district_heating_network.py

@@ -1,26 +1,15 @@
 from scripts.district_heating_network.directory_manager import DirectoryManager
 import subprocess
-from scripts.ep_run_enrich import energy_plus_workflow
+from building_modelling.ep_run_enrich import energy_plus_workflow
 from hub.imports.geometry_factory import GeometryFactory
 from hub.helpers.dictionaries import Dictionaries
 from hub.imports.construction_factory import ConstructionFactory
 from hub.imports.usage_factory import UsageFactory
 from hub.imports.weather_factory import WeatherFactory
 from hub.imports.results_factory import ResultFactory
-from scripts.energy_system_retrofit_report import EnergySystemRetrofitReport
-from scripts.geojson_creator import process_geojson
-from scripts import random_assignation
-from hub.imports.energy_systems_factory import EnergySystemsFactory
-from scripts.energy_system_sizing import SystemSizing
-from scripts.solar_angles import CitySolarAngles
-from scripts.pv_sizing_and_simulation import PVSizingSimulation
-from scripts.energy_system_retrofit_results import consumption_data, cost_data
-from scripts.energy_system_sizing_and_simulation_factory import EnergySystemsSimulationFactory
-from scripts.costs.cost import Cost
-from scripts.costs.constants import SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV, CURRENT_STATUS
+from building_modelling.geojson_creator import process_geojson
 import hub.helpers.constants as cte
 from hub.exports.exports_factory import ExportsFactory
-from scripts.pv_feasibility import pv_feasibility
 import matplotlib.pyplot as plt
 import numpy as np
 from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
@@ -34,7 +23,7 @@ dir_manager = DirectoryManager(base_path)
 
 # Input files directory
 input_files_path = dir_manager.create_directory('input_files')
-geojson_file_path = input_files_path / 'output_buildings.geojson'
+geojson_file_path = input_files_path / 'Lachine_Geojson_Mixed_Use.geojson'
 pipe_data_file = input_files_path / 'pipe_data.json'
 
 # Output files directory
@@ -58,28 +47,29 @@ process_geojson(x=location[1], y=location[0], diff=0.001)
 # Create ciry and run energyplus workflow
 city = GeometryFactory(file_type='geojson',
                        path=geojson_file_path,
-                       height_field='height',
-                       year_of_construction_field='year_of_construction',
-                       function_field='function',
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
                        function_to_hub=Dictionaries().montreal_function_to_hub_function).city
 ConstructionFactory('nrcan', city).enrich()
 UsageFactory('nrcan', city).enrich()
 WeatherFactory('epw', city).enrich()
-
-# SRA
-ExportsFactory('sra', city, output_path).export()
-sra_path = (output_path / f'{city.name}_sra.xml').resolve()
-subprocess.run(['sra', str(sra_path)])
-ResultFactory('sra', city, output_path).enrich()
+#
+# # SRA
+# ExportsFactory('sra', city, output_path).export()
+# sra_path = (output_path / f'{city.name}_sra.xml').resolve()
+# subprocess.run(['sra', str(sra_path)])
+# ResultFactory('sra', city, output_path).enrich()
 
 # EP Workflow
-energy_plus_workflow(city, energy_plus_output_path)
+# energy_plus_workflow(city, energy_plus_output_path)
 
+ResultFactory('energy_plus_multiple_buildings', city, energy_plus_output_path).enrich()
 #%% --------------------------------------------------------------------------------------------------------------------
 # District Heating Network Creator
-central_plant_locations = [(-73.57812571080625, 45.49499447346277)]  # Add at least one location
+central_plant_locations = [(-73.6641097164314, 45.433637169890005)]  # Add at least one location
 
-roads_file = "./input_files/roads.json"
+roads_file = "./input_files/majid.geojson"
 
 dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file, central_plant_locations)
 

dom.py

@@ -0,0 +1,146 @@
+from scripts.district_heating_network.directory_manager import DirectoryManager
+import subprocess
+from building_modelling.ep_run_enrich import energy_plus_workflow
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from hub.imports.results_factory import ResultFactory
+from building_modelling.geojson_creator import process_geojson
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+import matplotlib.pyplot as plt
+import numpy as np
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory
+import json
+
+# Manage File Path
+base_path = "./"
+dir_manager = DirectoryManager(base_path)
+
+# Input files directory
+input_files_path = dir_manager.create_directory('input_files')
+geojson_file_path = input_files_path / 'Dombridge.geojson'
+pipe_data_file = input_files_path / 'pipe_data.json'
+
+# Output files directory
+output_path = dir_manager.create_directory('out_files')
+
+# Subdirectories for output files
+energy_plus_output_path = dir_manager.create_directory('out_files/energy_plus_outputs')
+simulation_results_path = dir_manager.create_directory('out_files/simulation_results')
+sra_output_path = dir_manager.create_directory('out_files/sra_outputs')
+cost_analysis_output_path = dir_manager.create_directory('out_files/cost_analysis')
+# Create ciry and run energyplus workflow
+city = GeometryFactory(file_type='geojson',
+                       path=geojson_file_path,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+
+# energy_plus_workflow(city, energy_plus_output_path)
+ResultFactory('energy_plus_multiple_buildings', city, energy_plus_output_path).enrich()
+
+# District Heating Network Creator
+central_plant_locations = [(-73.66314280001727, 45.43813943275185)]  # Add at least one location
+
+roads_file = "input_files/roads.json"
+
+dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file, central_plant_locations)
+
+network_graph = dhn_creator.run()
+
+
+# Pipe and pump sizing
+
+with open(pipe_data_file, 'r') as f:
+  pipe_data = json.load(f)
+
+factory = DistrictHeatingFactory(
+  city=city,
+  graph=network_graph,
+  supply_temperature=80 + 273,  # in Kelvin
+  return_temperature=60 + 273,  # in Kelvin
+  simultaneity_factor=0.9
+)
+
+factory.enrich()
+factory.sizing()
+factory.calculate_diameters_and_costs(pipe_data)
+pipe_groups, total_cost = factory.analyze_costs()
+
+# Save the pipe groups with total costs to a CSV file
+factory.save_pipe_groups_to_csv('pipe_groups.csv')
+
+import json
+import matplotlib.pyplot as plt
+import networkx as nx
+from shapely.geometry import shape, Polygon, MultiPolygon
+from shapely.validation import explain_validity
+
+# Load the GeoJSON file
+with open("input_files/Dombridge.geojson", "r") as file:
+    geojson_data = json.load(file)
+
+# Initialize a figure
+fig, ax = plt.subplots(figsize=(15, 10))
+# Set aspect to equal
+ax.set_aspect('equal')
+
+# Set figure and axes backgrounds to transparent
+fig.patch.set_facecolor('none')
+ax.set_facecolor('none')
+
+# Iterate over each feature in the GeoJSON
+for feature in geojson_data['features']:
+    geom = shape(feature['geometry'])
+
+    # Check if the geometry is valid
+    if not geom.is_valid:
+        print(f"Invalid geometry: {explain_validity(geom)}")
+        continue  # Skip invalid geometries
+
+    # Plot polygons
+    if isinstance(geom, Polygon):
+        x, y = geom.exterior.xy
+        ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    elif isinstance(geom, MultiPolygon):
+        for poly in geom.geoms:
+            x, y = poly.exterior.xy
+            ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    else:
+        print(f"Unhandled geometry type: {type(geom)}")
+        continue
+
+# Prepare and plot the network graph
+G = network_graph
+
+# Get positions from node attributes
+pos = nx.get_node_attributes(G, 'pos')
+
+# Draw nodes, using different colors based on node type
+node_types = nx.get_node_attributes(G, 'type')
+colors = {'building': 'blue', 'generation': 'green', 'junction': 'red'}
+node_colors = [colors.get(node_types.get(node, 'junction'), 'black') for node in G.nodes()]
+
+nx.draw_networkx_nodes(G, pos, ax=ax, node_size=50, node_color=node_colors)
+nx.draw_networkx_edges(G, pos, ax=ax, edge_color="red", width=1.2)
+
+# Remove axes, ticks, and background
+ax.axis("off")
+
+# Adjust plot limits to the data
+x_values = [coord[0] for coord in pos.values()]
+y_values = [coord[1] for coord in pos.values()]
+ax.set_xlim(min(x_values) - 0.001, max(x_values) + 0.001)
+ax.set_ylim(min(y_values) - 0.001, max(y_values) + 0.001)
+
+# Save the plot with transparency
+plt.savefig("network_plot.png", bbox_inches='tight', pad_inches=0, transparent=True)
+plt.show()

energy_system_retrofit.py

@@ -1,87 +1,98 @@
-from pathlib import Path
+from scripts.district_heating_network.directory_manager import DirectoryManager
 import subprocess
 from building_modelling.ep_run_enrich import energy_plus_workflow
-from energy_system_modelling_package.energy_system_modelling_factories.montreal_energy_system_archetype_modelling_factory import \
-  MontrealEnergySystemArchetypesSimulationFactory
-from energy_system_modelling_package.energy_system_modelling_factories.pv_assessment.pv_feasibility import \
-  pv_feasibility
 from hub.imports.geometry_factory import GeometryFactory
 from hub.helpers.dictionaries import Dictionaries
 from hub.imports.construction_factory import ConstructionFactory
 from hub.imports.usage_factory import UsageFactory
 from hub.imports.weather_factory import WeatherFactory
 from hub.imports.results_factory import ResultFactory
-from energy_system_modelling_package.energy_system_retrofit.energy_system_retrofit_report import EnergySystemRetrofitReport
 from building_modelling.geojson_creator import process_geojson
-from energy_system_modelling_package import random_assignation
-from hub.imports.energy_systems_factory import EnergySystemsFactory
-from energy_system_modelling_package.energy_system_modelling_factories.energy_system_sizing_factory import EnergySystemsSizingFactory
-from energy_system_modelling_package.energy_system_retrofit.energy_system_retrofit_results import consumption_data, cost_data
-from costing_package.cost import Cost
-from costing_package.constants import SYSTEM_RETROFIT_AND_PV, CURRENT_STATUS
+import hub.helpers.constants as cte
 from hub.exports.exports_factory import ExportsFactory
+import matplotlib.pyplot as plt
+import numpy as np
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory
+import json
 
-# Specify the GeoJSON file path
-input_files_path = (Path(__file__).parent / 'input_files')
-input_files_path.mkdir(parents=True, exist_ok=True)
-geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.0001)
-geojson_file_path = input_files_path / 'output_buildings.geojson'
-output_path = (Path(__file__).parent / 'out_files').resolve()
-output_path.mkdir(parents=True, exist_ok=True)
-energy_plus_output_path = output_path / 'energy_plus_outputs'
-energy_plus_output_path.mkdir(parents=True, exist_ok=True)
-simulation_results_path = (Path(__file__).parent / 'out_files' / 'simulation_results').resolve()
-simulation_results_path.mkdir(parents=True, exist_ok=True)
-sra_output_path = output_path / 'sra_outputs'
-sra_output_path.mkdir(parents=True, exist_ok=True)
-cost_analysis_output_path = output_path / 'cost_analysis'
-cost_analysis_output_path.mkdir(parents=True, exist_ok=True)
+# Manage File Path
+base_path = "./"
+dir_manager = DirectoryManager(base_path)
+
+# Input files directory
+input_files_path = dir_manager.create_directory('input_files')
+geojson_file_path = input_files_path / 'Lachine_Geojson_Mixed_Use.geojson'
+pipe_data_file = input_files_path / 'pipe_data.json'
+
+# Output files directory
+output_path = dir_manager.create_directory('out_files')
+
+# Subdirectories for output files
+energy_plus_output_path = dir_manager.create_directory('out_files/energy_plus_outputs')
+simulation_results_path = dir_manager.create_directory('out_files/simulation_results')
+sra_output_path = dir_manager.create_directory('out_files/sra_outputs')
+cost_analysis_output_path = dir_manager.create_directory('out_files/cost_analysis')
+
+# Area Under Study
+location = [45.4934614681437, -73.57982834742518]
+
+
+# Create geojson of buildings
+process_geojson(x=location[1], y=location[0], diff=0.001)
+
+
+# Create ciry and run energyplus workflow
 city = GeometryFactory(file_type='geojson',
                        path=geojson_file_path,
-                       height_field='height',
-                       year_of_construction_field='year_of_construction',
-                       function_field='function',
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
                        function_to_hub=Dictionaries().montreal_function_to_hub_function).city
 ConstructionFactory('nrcan', city).enrich()
 UsageFactory('nrcan', city).enrich()
 WeatherFactory('epw', city).enrich()
-ExportsFactory('sra', city, sra_output_path).export()
-sra_path = (sra_output_path / f'{city.name}_sra.xml').resolve()
-subprocess.run(['sra', str(sra_path)])
-ResultFactory('sra', city, sra_output_path).enrich()
-pv_feasibility(-73.5681295982132, 45.49218262677643, 0.0001, selected_buildings=city.buildings)
+#
+# # SRA
+# ExportsFactory('sra', city, output_path).export()
+# sra_path = (output_path / f'{city.name}_sra.xml').resolve()
+# subprocess.run(['sra', str(sra_path)])
+# ResultFactory('sra', city, output_path).enrich()
+
+# EP Workflow
 energy_plus_workflow(city, energy_plus_output_path)
-random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
-EnergySystemsFactory('montreal_custom', city).enrich()
-EnergySystemsSizingFactory('peak_load_sizing', city).enrich()
-current_status_energy_consumption = consumption_data(city)
-current_status_life_cycle_cost = {}
-for building in city.buildings:
-  cost_retrofit_scenario = CURRENT_STATUS
-  lcc_dataframe = Cost(building=building,
-                       retrofit_scenario=cost_retrofit_scenario,
-                       fuel_tariffs=['Electricity-D', 'Gas-Energir']).life_cycle
-  lcc_dataframe.to_csv(cost_analysis_output_path / f'{building.name}_current_status_lcc.csv')
-  current_status_life_cycle_cost[f'{building.name}'] = cost_data(building, lcc_dataframe, cost_retrofit_scenario)
-random_assignation.call_random(city.buildings, random_assignation.residential_new_systems_percentage)
-EnergySystemsFactory('montreal_future', city).enrich()
-EnergySystemsSizingFactory('pv_sizing', city).enrich()
-EnergySystemsSizingFactory('peak_load_sizing', city).enrich()
-for building in city.buildings:
-  MontrealEnergySystemArchetypesSimulationFactory(f'archetype_cluster_{building.energy_systems_archetype_cluster_id}',
-                                                  building,
-                                                  simulation_results_path).enrich()
-retrofitted_energy_consumption = consumption_data(city)
-retrofitted_life_cycle_cost = {}
-for building in city.buildings:
-  cost_retrofit_scenario = SYSTEM_RETROFIT_AND_PV
-  lcc_dataframe = Cost(building=building,
-                       retrofit_scenario=cost_retrofit_scenario,
-                       fuel_tariffs=['Electricity-D', 'Gas-Energir']).life_cycle
-  lcc_dataframe.to_csv(cost_analysis_output_path / f'{building.name}_retrofitted_lcc.csv')
-  retrofitted_life_cycle_cost[f'{building.name}'] = cost_data(building, lcc_dataframe, cost_retrofit_scenario)
-EnergySystemRetrofitReport(city, output_path, 'PV Implementation and System Retrofit',
-                           current_status_energy_consumption, retrofitted_energy_consumption,
-                           current_status_life_cycle_cost, retrofitted_life_cycle_cost).create_report()
+
+
+# District Heating Network Creator
+central_plant_locations = [(-73.6641097164314, 45.433637169890005)]  # Add at least one location
+
+roads_file = "./input_files/majid.geojson"
+
+dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file, central_plant_locations)
+
+network_graph = dhn_creator.run()
+
+
+# Pipe and pump sizing
+
+with open(pipe_data_file, 'r') as f:
+  pipe_data = json.load(f)
+
+factory = DistrictHeatingFactory(
+  city=city,
+  graph=network_graph,
+  supply_temperature=80 + 273,  # in Kelvin
+  return_temperature=60 + 273,  # in Kelvin
+  simultaneity_factor=0.9
+)
+
+factory.enrich()
+factory.sizing()
+factory.calculate_diameters_and_costs(pipe_data)
+pipe_groups, total_cost = factory.analyze_costs()
+
+# Save the pipe groups with total costs to a CSV file
+factory.save_pipe_groups_to_csv('pipe_groups.csv')
+
 
 

enrich_demand.py

@@ -0,0 +1,55 @@
+import pandas as pd
+import calendar
+
+
+def enrich(city):
+  """
+  Enrich the city by using the heating and cooling demand data from Excel files.
+  """
+
+
+  # Read the heating and cooling Excel files
+  heating_df = pd.read_excel('./input_files/heating.xlsx')
+  cooling_df = pd.read_excel('./input_files/cooling.xlsx')
+
+  # Ensure that the data frames have the same number of buildings as city.buildings
+  assert len(heating_df) == len(city.buildings), "Mismatch in number of buildings in heating data."
+  assert len(cooling_df) == len(city.buildings), "Mismatch in number of buildings in cooling data."
+
+  # Helper function to compute monthly totals
+  def get_monthly_totals(hourly_values):
+    monthly_totals = []
+    hour_index = 0
+    for month in range(1, 13):
+      days_in_month = calendar.monthrange(2023, month)[1]
+      hours_in_month = days_in_month * 24
+      monthly_total = sum(hourly_values[hour_index:hour_index + hours_in_month])
+      monthly_totals.append(monthly_total)
+      hour_index += hours_in_month
+    return monthly_totals
+
+  # Iterate over buildings and data frames
+  for idx, (building, heating_row, cooling_row) in enumerate(
+      zip(city.buildings, heating_df.itertuples(index=False), cooling_df.itertuples(index=False))):
+    # Skip the 'building' column (assuming it's the first column)
+    heating_demand_hourly = list(heating_row)[1:]  # Exclude the 'building' column
+    cooling_demand_hourly = list(cooling_row)[1:]  # Exclude the 'building' column
+
+    # Convert demands to Joules (1 kWh = 3.6e6 J)
+    heating_demand_hourly_joules = [value * 3.6e6 for value in heating_demand_hourly]
+    cooling_demand_hourly_joules = [value * 3.6e6 for value in cooling_demand_hourly]
+
+    # Store the demands in the building object
+    building.heating_demand = {}
+    building.cooling_demand = {}
+
+    building.heating_demand['hour'] = heating_demand_hourly_joules
+    building.cooling_demand['hour'] = cooling_demand_hourly_joules
+
+    # Compute monthly demands
+    building.heating_demand['month'] = get_monthly_totals(heating_demand_hourly_joules)
+    building.cooling_demand['month'] = get_monthly_totals(cooling_demand_hourly_joules)
+
+    # Compute yearly demands
+    building.heating_demand['year'] = [sum(building.heating_demand['month'])]
+    building.cooling_demand['year'] = [sum(building.cooling_demand['month'])]

fix_geojson.py

@@ -0,0 +1,85 @@
+import json
+import pandas as pd
+
+with open('./input_files/Lachine_Geojson_Corrected.geojson', 'r') as f:
+    geojson_data = json.load(f)
+
+for feature in geojson_data['features']:
+    properties = feature.get('properties', {})
+    properties.pop('detailed_model_filename', None)
+
+excel_df = pd.read_excel('./input_files/building_usage.xlsx')
+excel_df = excel_df.set_index('order of the file in geojson')
+excel_df = excel_df.sort_index()
+
+usage_codes = {
+    'Residential': "1000",
+    'Commercial': "6111",
+    'Industrial': "4413",
+    'Institutional': "6812",
+    'Office': "6591"
+}
+
+features = geojson_data['features']
+
+assert len(features) == len(excel_df)
+
+print("The files' ranges match.")
+
+for idx, (feature, (excel_idx, row)) in enumerate(zip(features, excel_df.iterrows()), start=1):
+    properties = feature.get('properties', {})
+
+    properties.pop('detailed_model_filename', None)
+
+    # Get the surface areas from the Excel row
+    commercial_area = row.get('Sup. commerciale (m²)', 0) or 0
+    industrial_area = row.get('Sup. indus.léger (m²)', 0) or 0
+    institutional_area = row.get('Sup. institutionnelle (m²)', 0) or 0
+    office_area = row.get('Sup. bureau (m²)', 0) or 0
+    residential_area = row.get('Résidentiels (m²)', 0) or 0
+
+    # Create a dictionary of areas with their corresponding usage codes
+    areas = {
+        usage_codes['Commercial']: commercial_area,
+        usage_codes['Industrial']: industrial_area,
+        usage_codes['Institutional']: institutional_area,
+        usage_codes['Office']: office_area,
+        usage_codes['Residential']: residential_area
+    }
+
+    # Remove entries with zero area
+    areas = {code: area for code, area in areas.items() if area > 0}
+
+    total_area = sum(areas.values())
+
+    if total_area == 0:
+        print(f"Total area is zero for feature at index {idx}, skipping modification.")
+        continue
+
+    # Compute the percentage for each usage
+    usages_list = []
+    for code, area in areas.items():
+        percentage = (area / total_area) * 100
+        usages_list.append({'usage': code, 'percentage': round(percentage)})
+
+    # Update 'building_type' and 'usages' in properties
+    if len(usages_list) > 1:
+        properties['building_type'] = 'mixed use'
+        properties['usages'] = usages_list
+    elif len(usages_list) == 1:
+        # Single usage
+        properties['building_type'] = list(areas.keys())[0]
+    else:
+        # No usages, skip modifying this feature
+        continue
+
+    # Add 'area' attribute from Excel
+    properties['area'] = str(row.get('Area', ''))
+
+    # Replace 'id' with 'development' from Excel
+    development = row.get('development', '')
+    cleaned_development = str(development).replace('-', '').replace(' ', '')
+    properties['id'] = "Building" + cleaned_development
+
+with open('input_files/Lachine_Geojson_Mixed_Use.geojson', 'w') as f:
+    json.dump(geojson_data, f, indent=2)

hub/imports/results/ep_multiple_buildings.py

@@ -24,7 +24,7 @@ class EnergyPlusMultipleBuildings:
       csv_output = list(csv.DictReader(csv_file))
 
       for building in self._city.buildings:
-        building_name = building.name
+        building_name = building.name.upper()
         buildings_energy_demands[f'Building {building_name} Heating Demand (J)'] = [
           float(
             row[f"{building_name} IDEAL LOADS AIR SYSTEM:Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)"])
@@ -36,7 +36,7 @@ class EnergyPlusMultipleBuildings:
           for row in csv_output
         ]
         buildings_energy_demands[f'Building {building_name} DHW Demand (W)'] = [
-          float(row[f"DHW {building.name}:Water Use Equipment Heating Rate [W](Hourly)"])
+          float(row[f"DHW {building_name}:Water Use Equipment Heating Rate [W](Hourly)"])
           for row in csv_output
         ]
         buildings_energy_demands[f'Building {building_name} Appliances (W)'] = [
@@ -58,14 +58,15 @@ class EnergyPlusMultipleBuildings:
     if energy_plus_output_file_path.is_file():
       building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
       for building in self._city.buildings:
-        building.heating_demand[cte.HOUR] = building_energy_demands[f'Building {building.name} Heating Demand (J)']
-        building.cooling_demand[cte.HOUR] = building_energy_demands[f'Building {building.name} Cooling Demand (J)']
+        building_name = building.name.upper()
+        building.heating_demand[cte.HOUR] = building_energy_demands[f'Building {building_name} Heating Demand (J)']
+        building.cooling_demand[cte.HOUR] = building_energy_demands[f'Building {building_name} Cooling Demand (J)']
         building.domestic_hot_water_heat_demand[cte.HOUR] = \
-            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} DHW Demand (W)']]
+            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} DHW Demand (W)']]
         building.appliances_electrical_demand[cte.HOUR] = \
-            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} Appliances (W)']]
+            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} Appliances (W)']]
         building.lighting_electrical_demand[cte.HOUR] = \
-            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} Lighting (W)']]
+            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} Lighting (W)']]
         building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
         building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
         building.domestic_hot_water_heat_demand[cte.MONTH] = (

input_files/MAXX.geojson

@@ -0,0 +1,621 @@
+{
+  "type": "FeatureCollection",
+  "features": [
+    {
+      "geometry": {
+        "coordinates": [
+          [
+            [
+              -73.66027183456654,
+              45.43682640515838
+            ],
+            [
+              -73.65980092076161,
+              45.436935379465496
+            ],
+            [
+              -73.65958858851806,
+              45.43699072995751
+            ],
+            [
+              -73.6596646362897,
+              45.437135324833925
+            ],
+            [
+              -73.65980280828376,
+              45.437135324833925
+            ],
+            [
+              -73.65980549164702,
+              45.43741954031219
+            ],
+            [
+              -73.66026656265554,
+              45.43741954031219
+            ],
+            [
+              -73.66027183456654,
+              45.43682640515838
+            ]
+          ]
+        ],
+        "type": "Polygon"
+      },
+      "type": "Feature",
+      "properties": {
+        "maximum_roof_height": 16,
+        "number_of_stories_above_ground": 4,
+        "number_of_stories": 4,
+        "floor_height": 4,
+        "building_type": "mixed use",
+        "name": "Building_366",
+        "year_built": 2024,
+        "footprint_area": 2443.0417281824775,
+        "id": "BuildingB7",
+        "type": "Building",
+        "floor_area": 9772.16691272991,
+        "usages": [
+          {
+            "usage": "6111",
+            "percentage": 25
+          },
+          {
+            "usage": "4413",
+            "percentage": 75
+          }
+        ],
+        "area": "BAIN MAXX"
+      }
+    },
+    {
+      "geometry": {
+        "coordinates": [
+          [
+            [
+              -73.65950945269662,
+              45.43888004389084
+            ],
+            [
+              -73.6591598283532,
+              45.43896421741208
+            ],
+            [
+              -73.6593463406809,
+              45.43933186962929
+            ],
+            [
+              -73.65950186839818,
+              45.4393030538919
+            ],
+            [
+              -73.65950945269662,
+              45.43888004389084
+            ]
+          ]
+        ],
+        "type": "Polygon"
+      },
+      "type": "Feature",
+      "properties": {
+        "maximum_roof_height": 16,
+        "number_of_stories_above_ground": 4,
+        "number_of_stories": 4,
+        "floor_height": 4,
+        "building_type": "mixed use",
+        "name": "Building_374",
+        "year_built": 2024,
+        "footprint_area": 907.9995030083592,
+        "id": "BuildingB2",
+        "type": "Building",
+        "floor_area": 3631.9980120334367,
+        "usages": [
+          {
+            "usage": "6111",
+            "percentage": 22
+          },
+          {
+            "usage": "4413",
+            "percentage": 78
+          }
+        ],
+        "area": "BAIN MAXX"
+      }
+    },
+    {
+      "geometry": {
+        "coordinates": [
+          [
+            [
+              -73.6586465565685,
+              45.43794502009898
+            ],
+            [
+              -73.65877820605229,
+              45.43820592631496
+            ],
+            [
+              -73.65907725301875,
+              45.43820592631496
+            ],
+            [
+              -73.65907725301875,
+              45.438178967489094
+            ],
+            [
+              -73.65920582090638,
+              45.438178967489094
+            ],
+            [
+              -73.65920582090638,
+              45.43820592631496
+            ],
+            [
+              -73.65951490453769,
+              45.43820592631496
+            ],
+            [
+              -73.65951864171541,
+              45.43794501706367
+            ],
+            [
+              -73.65920581873392,
+              45.4379450182182
+            ],
+            [
+              -73.6592058189376,
+              45.437971976604835
+            ],
+            [
+              -73.65907725301875,
+              45.437971977079336
+            ],
+            [
+              -73.65907725301875,
+              45.43794502035566
+            ],
+            [
+              -73.6586465565685,
+              45.43794502009898
+            ]
+          ]
+        ],
+        "type": "Polygon"
+      },
+      "type": "Feature",
+      "properties": {
+        "maximum_roof_height": 16,
+        "number_of_stories_above_ground": 4,
+        "number_of_stories": 4,
+        "floor_height": 4,
+        "building_type": 4413,
+        "name": "Building_377",
+        "year_built": 2019,
+        "footprint_area": 1756.5275000615802,
+        "id": "BuildingB8",
+        "type": "Building",
+        "floor_area": 7026.110000246321,
+        "area": "BAIN MAXX"
+      }
+    },
+    {
+      "geometry": {
+        "coordinates": [
+          [
+            [
+              -73.65932645417877,
+              45.4370671419759
+            ],
+            [
+              -73.65890157746759,
+              45.43729789907689
+            ],
+            [
+              -73.65894120771091,
+              45.437333276458844
+            ],
+            [
+              -73.65883997788825,
+              45.43738867571641
+            ],
+            [
+              -73.65880034764496,
+              45.43735329833445
+            ],
+            [
+              -73.65844561006861,
+              45.43754677933583
+            ],
+            [
+              -73.65859847737923,
+              45.43784973556784
+            ],
+            [
+              -73.65907725082093,
+              45.4376004860529
+            ],
+            [
+              -73.65905346577388,
+              45.43757925346323
+            ],
+            [
+              -73.65915660532876,
+              45.437525558997784
+            ],
+            [
+              -73.65918039037581,
+              45.43754679158746
+            ],
+            [
+              -73.65949381251329,
+              45.43738535192706
+            ],
+            [
+              -73.65932645417877,
+              45.4370671419759
+            ]
+          ]
+        ],
+        "type": "Polygon"
+      },
+      "type": "Feature",
+      "properties": {
+        "maximum_roof_height": 16,
+        "number_of_stories_above_ground": 4,
+        "number_of_stories": 4,
+        "floor_height": 4,
+        "building_type": "mixed use",
+        "name": "Building_367",
+        "year_built": 2024,
+        "footprint_area": 2959.1453306355543,
+        "id": "BuildingB9",
+        "type": "Building",
+        "floor_area": 11836.581322542217,
+        "usages": [
+          {
+            "usage": "6111",
+            "percentage": 25
+          },
+          {
+            "usage": "4413",
+            "percentage": 75
+          }
+        ],
+        "area": "BAIN MAXX"
+      }
+    },
+    {
+      "geometry": {
+        "coordinates": [
+          [
+            [
+              -73.65978535158648,
+              45.43925053092525
+            ],
+            [
+              -73.66024298387394,
+              45.43916574210401
+            ],
+            [
+              -73.66024690026592,
+              45.43887926502197
+            ],
+            [
+              -73.65978976299151,
+              45.43887926502197
+            ],
+            [
+              -73.65978535158648,
+              45.43925053092525
+            ]
+          ]
+        ],
+        "type": "Polygon"
+      },
+      "type": "Feature",
+      "properties": {
+        "maximum_roof_height": 16,
+        "number_of_stories_above_ground": 4,
+        "number_of_stories": 4,
+        "floor_height": 4,
+        "building_type": "mixed use",
+        "name": "Building_375",
+        "year_built": 2024,
+        "footprint_area": 1300.4263094531598,
+        "id": "BuildingB1",
+        "type": "Building",
+        "floor_area": 5201.705237812639,
+        "usages": [
+          {
+            "usage": "6111",
+            "percentage": 22
+          },
+          {
+            "usage": "4413",
+            "percentage": 78
+          }
+        ],
+        "area": "BAIN MAXX"
+      }
+    },
+    {
+      "geometry": {
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input_files/pipe_data.json

@@ -0,0 +1,122 @@
+[
+    {
+        "DN": 16,
+        "inner_diameter": 16.1,
+        "cost_per_meter": 320
+    },
+    {
+        "DN": 20,
+        "inner_diameter": 21.7,
+        "cost_per_meter": 320
+    },
+    {
+        "DN": 25,
+        "inner_diameter": 27.3,
+        "cost_per_meter": 320
+    },
+    {
+        "DN": 30,
+        "inner_diameter": 32.5,
+        "cost_per_meter": 350
+    },
+    {
+        "DN": 32,
+        "inner_diameter": 37.2,
+        "cost_per_meter": 350
+    },
+    {
+        "DN": 40,
+        "inner_diameter": 43.1,
+        "cost_per_meter": 375
+    },
+    {
+        "DN": 50,
+        "inner_diameter": 54.5,
+        "cost_per_meter": 400
+    },
+    {
+        "DN": 60,
+        "inner_diameter": 65.0,
+        "cost_per_meter": 450
+    },
+    {
+        "DN": 65,
+        "inner_diameter": 70.3,
+        "cost_per_meter": 450
+    },
+    {
+        "DN": 70,
+        "inner_diameter": 75.0,
+        "cost_per_meter": 450
+    },
+    {
+        "DN": 80,
+        "inner_diameter": 82.5,
+        "cost_per_meter": 480
+    },
+    {
+        "DN": 90,
+        "inner_diameter": 100.8,
+        "cost_per_meter": 480
+    },
+    {
+        "DN": 100,
+        "inner_diameter": 107.1,
+        "cost_per_meter": 550
+    },
+    {
+        "DN": 110,
+        "inner_diameter": 120.0,
+        "cost_per_meter": 550
+    },
+    {
+        "DN": 120,
+        "inner_diameter": 125.0,
+        "cost_per_meter": 550
+    },
+    {
+        "DN": 125,
+        "inner_diameter": 132.5,
+        "cost_per_meter": 630
+    },
+    {
+        "DN": 130,
+        "inner_diameter": 140.0,
+        "cost_per_meter": 630
+    },
+    {
+        "DN": 140,
+        "inner_diameter": 151.0,
+        "cost_per_meter": 630
+    },
+    {
+        "DN": 150,
+        "inner_diameter": 160.3,
+        "cost_per_meter": 700
+    },
+    {
+        "DN": 160,
+        "inner_diameter": 170.0,
+        "cost_per_meter": 700
+    },
+    {
+        "DN": 170,
+        "inner_diameter": 180.0,
+        "cost_per_meter": 700
+    },
+    {
+        "DN": 180,
+        "inner_diameter": 190.0,
+        "cost_per_meter": 700
+    },
+    {
+        "DN": 190,
+        "inner_diameter": 200.0,
+        "cost_per_meter": 700
+    },
+    {
+        "DN": 200,
+        "inner_diameter": 210.1,
+        "cost_per_meter": 860
+    }
+]

lachine_development.py

@@ -0,0 +1,151 @@
+from pathlib import Path
+from building_modelling.ep_run_enrich import energy_plus_workflow
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from enrich_demand import enrich
+import pandas as pd
+
+# Directory management
+input_files_path = (Path(__file__).parent / 'input_files')
+input_files_path.mkdir(parents=True, exist_ok=True)
+geojson_file_path = input_files_path / 'Lachine_Geojson_Mixed_Use.geojson'
+output_path = (Path(__file__).parent / 'out_files').resolve()
+output_path.mkdir(parents=True, exist_ok=True)
+energy_plus_output_path = output_path / 'energy_plus_outputs'
+energy_plus_output_path.mkdir(parents=True, exist_ok=True)
+simulation_results_path = (Path(__file__).parent / 'out_files' / 'simulation_results').resolve()
+simulation_results_path.mkdir(parents=True, exist_ok=True)
+sra_output_path = output_path / 'sra_outputs'
+sra_output_path.mkdir(parents=True, exist_ok=True)
+cost_analysis_output_path = output_path / 'cost_analysis'
+cost_analysis_output_path.mkdir(parents=True, exist_ok=True)
+lachine_output_path = output_path / 'lachine_outputs'
+
+# Create City from HUB to run EP_Workflow
+city_ep_workflow = GeometryFactory(
+  file_type='geojson',
+  path=geojson_file_path,
+  height_field='maximum_roof_height',
+  year_of_construction_field='year_built',
+  function_field='building_type',
+  function_to_hub=Dictionaries().montreal_function_to_hub_function
+).city
+
+ConstructionFactory('nrcan', city_ep_workflow).enrich()
+UsageFactory('nrcan', city_ep_workflow).enrich()
+WeatherFactory('epw', city_ep_workflow).enrich()
+energy_plus_workflow(city_ep_workflow, energy_plus_output_path)
+
+# Create City from HUB to use Grasshopper results
+city_grasshopper = GeometryFactory(
+  file_type='geojson',
+  path=geojson_file_path,
+  height_field='maximum_roof_height',
+  year_of_construction_field='year_built',
+  function_field='building_type',
+  function_to_hub=Dictionaries().montreal_function_to_hub_function
+).city
+
+ConstructionFactory('nrcan', city_grasshopper).enrich()
+UsageFactory('nrcan', city_grasshopper).enrich()
+WeatherFactory('epw', city_grasshopper).enrich()
+
+enrich(city_grasshopper)
+
+# Collect data from city_ep_workflow
+ep_building_data = []
+
+for building in city_ep_workflow.buildings:
+    building_name = building.name
+
+    # Get total floor area
+    total_floor_area = 0
+    for zone in building.thermal_zones_from_internal_zones:
+        total_floor_area += zone.total_floor_area  # Assuming area is in m^2
+
+    # Get yearly heating demand in Joules
+    yearly_heating_demand_J = building.heating_demand['year'][0]  # Should be a single value
+    # Convert to kWh
+    yearly_heating_demand_kWh = yearly_heating_demand_J / 3.6e6
+    # Compute heating demand intensity (kWh/m²)
+    heating_demand_intensity = yearly_heating_demand_kWh / total_floor_area if total_floor_area > 0 else 0
+
+    # Get yearly cooling demand in Joules
+    yearly_cooling_demand_J = building.cooling_demand['year'][0]  # Should be a single value
+    # Convert to kWh
+    yearly_cooling_demand_kWh = yearly_cooling_demand_J / 3.6e6
+    # Compute cooling demand intensity (kWh/m²)
+    cooling_demand_intensity = yearly_cooling_demand_kWh / total_floor_area if total_floor_area > 0 else 0
+
+    # Append data to list
+    ep_building_data.append({
+        'Building Name': building_name,
+        'Yearly Heating Demand EP (kWh)': yearly_heating_demand_kWh,
+        'Demand Intensity Heating EP (kWh/m²)': heating_demand_intensity,
+        'Yearly Cooling Demand EP (kWh)': yearly_cooling_demand_kWh,
+        'Demand Intensity Cooling EP (kWh/m²)': cooling_demand_intensity,
+        'Total Floor Area (m²)': total_floor_area
+    })
+
+# Collect data from city_grasshopper
+grasshopper_building_data = []
+
+for building in city_grasshopper.buildings:
+    building_name = building.name
+
+    # Get total floor area
+    total_floor_area = 0
+    for zone in building.thermal_zones_from_internal_zones:
+        total_floor_area += zone.total_floor_area  # Assuming area is in m^2
+
+    # Get yearly heating demand in Joules
+    yearly_heating_demand_J = building.heating_demand['year'][0]  # Should be a single value
+    # Convert to kWh
+    yearly_heating_demand_kWh = yearly_heating_demand_J / 3.6e6
+    # Compute heating demand intensity (kWh/m²)
+    heating_demand_intensity = yearly_heating_demand_kWh / total_floor_area if total_floor_area > 0 else 0
+
+    # Get yearly cooling demand in Joules
+    yearly_cooling_demand_J = building.cooling_demand['year'][0]  # Should be a single value
+    # Convert to kWh
+    yearly_cooling_demand_kWh = yearly_cooling_demand_J / 3.6e6
+    # Compute cooling demand intensity (kWh/m²)
+    cooling_demand_intensity = yearly_cooling_demand_kWh / total_floor_area if total_floor_area > 0 else 0
+
+    # Append data to list
+    grasshopper_building_data.append({
+        'Building Name': building_name,
+        'Yearly Heating Demand Grasshopper (kWh)': yearly_heating_demand_kWh,
+        'Demand Intensity Heating Grasshopper (kWh/m²)': heating_demand_intensity,
+        'Yearly Cooling Demand Grasshopper (kWh)': yearly_cooling_demand_kWh,
+        'Demand Intensity Cooling Grasshopper (kWh/m²)': cooling_demand_intensity
+    })
+
+# Create DataFrames
+ep_df = pd.DataFrame(ep_building_data)
+grasshopper_df = pd.DataFrame(grasshopper_building_data)
+
+# Merge DataFrames on 'Building Name' and 'Total Floor Area (m²)'
+# Since Total Floor Area should be the same for both, we can use it from ep_df
+merged_df = pd.merge(ep_df, grasshopper_df, on='Building Name')
+
+# Rearrange columns if needed
+merged_df = merged_df[[
+    'Building Name',
+    'Yearly Heating Demand EP (kWh)',
+    'Demand Intensity Heating EP (kWh/m²)',
+    'Yearly Cooling Demand EP (kWh)',
+    'Demand Intensity Cooling EP (kWh/m²)',
+    'Yearly Heating Demand Grasshopper (kWh)',
+    'Demand Intensity Heating Grasshopper (kWh/m²)',
+    'Yearly Cooling Demand Grasshopper (kWh)',
+    'Demand Intensity Cooling Grasshopper (kWh/m²)',
+    'Total Floor Area (m²)'
+]]
+
+# Write to Excel
+output_excel_path = lachine_output_path / 'building_heating_cooling_demands.xlsx'
+merged_df.to_excel(output_excel_path, index=False)

main.py

@@ -0,0 +1,86 @@
+from pathlib import Path
+from scripts.district_heating_network.directory_manager import DirectoryManager
+import subprocess
+from scripts.ep_run_enrich import energy_plus_workflow
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from scripts.district_heating_network.road_processor import road_processor
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.geojson_graph_creator import networkx_to_geojson
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+from scripts.pv_feasibility import pv_feasibility
+import matplotlib.pyplot as plt
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.road_processor import road_processor
+from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory
+
+base_path = Path(__file__).parent
+dir_manager = DirectoryManager(base_path)
+
+# Input files directory
+input_files_path = dir_manager.create_directory('input_files')
+geojson_file_path = input_files_path / 'output_buildings.geojson'
+
+# Output files directory
+output_path = dir_manager.create_directory('out_files')
+
+# Subdirectories for output files
+energy_plus_output_path = dir_manager.create_directory('out_files/energy_plus_outputs')
+simulation_results_path = dir_manager.create_directory('out_files/simulation_results')
+sra_output_path = dir_manager.create_directory('out_files/sra_outputs')
+cost_analysis_output_path = dir_manager.create_directory('out_files/cost_analysis')
+
+# Select city area
+location = [45.53067276979674, -73.70234652694087]
+process_geojson(x=location[1], y=location[0], diff=0.001)
+
+# Create city object
+city = GeometryFactory(file_type='geojson',
+                       path=geojson_file_path,
+                       height_field='height',
+                       year_of_construction_field='year_of_construction',
+                       function_field='function',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+# WeatherFactory('epw', city).enrich()
+# energy_plus_workflow(city, energy_plus_output_path)
+# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
+# city.buildings[0].function = cte.COMMERCIAL
+# ConstructionFactory('nrcan', city).enrich()
+# UsageFactory('nrcan', city).enrich()
+# energy_plus_workflow(city, energy_plus_output_path)
+# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
+# city.buildings[0].function = cte.MEDIUM_OFFICE
+# ConstructionFactory('nrcan', city).enrich()
+# UsageFactory('nrcan', city).enrich()
+# energy_plus_workflow(city, energy_plus_output_path)
+# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
+# categories = list(data.keys())
+# values = list(data.values())
+# # Plotting
+# fig, ax = plt.subplots(figsize=(10, 6), dpi=96)
+# fig.suptitle('Impact of different usages on yearly heating demand', fontsize=16, weight='bold', alpha=.8)
+# ax.bar(categories, values, color=['#2196f3', '#ff5a5f', '#4caf50'], width=0.6, zorder=2)
+# ax.grid(which="major", axis='x', color='#DAD8D7', alpha=0.5, zorder=1)
+# ax.grid(which="major", axis='y', color='#DAD8D7', alpha=0.5, zorder=1)
+# ax.set_xlabel('Building Type', fontsize=12, labelpad=10)
+# ax.set_ylabel('Energy Consumption (MWh)', fontsize=14, labelpad=10)
+# ax.yaxis.set_major_locator(plt.MaxNLocator(integer=True))
+# ax.set_xticks(np.arange(len(categories)))
+# ax.set_xticklabels(categories, rotation=45, ha='right')
+# ax.bar_label(ax.containers[0], padding=3, color='black', fontsize=12, rotation=0)
+# ax.spines[['top', 'left', 'bottom']].set_visible(False)
+# ax.spines['right'].set_linewidth(1.1)
+# # Set a white background
+# fig.patch.set_facecolor('white')
+# # Adjust the margins around the plot area
+# plt.subplots_adjust(left=0.1, right=0.9, top=0.85, bottom=0.25)
+# # Save the plot
+# plt.savefig('plot_nrcan.png', bbox_inches='tight')
+# plt.close()
+print('test')

out_files/energy_plus_outputs/Cote-Saint-Luc_out.audit

@@ -0,0 +1,87 @@
+  Processing Schedule Input -- Start
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 33-commercial_67-warehouse.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 33-commercial_67-warehouse.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 16-commercial_84-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 16-commercial_84-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 25-commercial_75-warehouse.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 25-commercial_75-warehouse.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 22-commercial_78-warehouse.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 22-commercial_78-warehouse.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 100-warehouse.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 100-warehouse.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 15-commercial_46-warehouse_39-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 15-commercial_46-warehouse_39-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 71-warehouse_29-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 71-warehouse_29-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 75-warehouse_25-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 75-warehouse_25-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 100-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 100-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 100-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 100-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 15-commercial_85-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 15-commercial_85-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 21-commercial_79-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 21-commercial_79-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 9-commercial_91-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 9-commercial_91-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 33-commercial_33-warehouse_33-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 33-commercial_33-warehouse_33-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 8-commercial_92-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 8-commercial_92-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 6-commercial_94-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 6-commercial_94-residential.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 67-warehouse_33-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 67-warehouse_33-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 50-warehouse_50-office and administration.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 50-warehouse_50-office and administration.csv
+not found (Current Working Directory)=C:\Users\ab_reza\AppData\Local\Temp\tmp3nu1pbf5\cold_temp schedules 18-commercial_82-residential.csv
+found (IDF Directory)=C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\cold_temp schedules 18-commercial_82-residential.csv
+  Processing Schedule Input -- Complete
+ MonthlyInputCount=           2
+ sizeMonthlyInput=          25
+ MonthlyFieldSetInputCount=          20
+ sizeMonthlyFieldSetInput=          50
+ MonthlyTablesCount=           0
+ MonthlyColumnsCount=           0
+ sizeReportName=         100
+ numReportName=          16
+ sizeSubTable=         100
+ numSubTable=          89
+ sizeColumnTag=         800
+ numColumnTag=         757
+ sizeTableEntry=      102400
+ numTableEntry=       53210
+ sizeCompSizeTableEntry=           0
+ numCompSizeTableEntry=           0
+ NumOfRVariable=      186328
+ NumOfRVariable(Total)=      186328
+ NumOfRVariable(Actual)=        1293
+ NumOfRVariable(Summed)=         996
+ NumOfRVariable(Meter)=         996
+ NumOfIVariable=       13820
+ NumOfIVariable(Total)=       13820
+ NumOfIVariable(Actual)=           0
+ NumOfIVariable(Summed)=           0
+ MaxRVariable=        2000
+ MaxIVariable=          10
+ NumEnergyMeters=        1926
+ NumVarMeterArrays=         996
+ maxUniqueKeyCount=        1500
+ maxNumberOfFigures=       14975
+ MAXHCArrayBounds=          34
+ MaxVerticesPerSurface=          16
+ NumReportList=         500
+ InstMeterCacheSize=        1000
+ ClippingAlgorithm=SutherlandHodgman
+ MonthlyFieldSetInputCount=          20
+ NumConsideredOutputVariables=           5
+ MaxConsideredOutputVariables=       10000
+ numActuatorsUsed=           0
+ numEMSActuatorsAvailable=           0
+ maxEMSActuatorsAvailable=           0
+ numInternalVariablesUsed=           0
+ numEMSInternalVarsAvailable=           0
+ maxEMSInternalVarsAvailable=           0
+ NumOfNodeConnections=         396
+ MaxNumOfNodeConnections=        1000

out_files/energy_plus_outputs/Cote-Saint-Luc_out.eio

@@ -0,0 +1,981 @@
+Program Version,EnergyPlus, Version 23.2.0-7636e6b3e9, YMD=2024.10.17 15:57
+! <Version>, Version ID
+ Version, 23.2
+! <Timesteps per Hour>, #TimeSteps, Minutes per TimeStep {minutes}
+ Timesteps per Hour,  4, 15
+! <System Convergence Limits>, Minimum System TimeStep {minutes}, Max HVAC Iterations, Minimum Plant Iterations, Maximum Plant Iterations
+ System Convergence Limits, 1, 20, 2, 8
+! <Simulation Control>, Do Zone Sizing, Do System Sizing, Do Plant Sizing, Do Design Days, Do Weather Simulation, Do HVAC Sizing Simulation
+ Simulation Control, No, No, No, No, Yes, No
+! <Performance Precision Tradeoffs>, Use Coil Direct Simulation, Zone Radiant Exchange Algorithm, Override Mode, Number of Timestep In Hour, Force Euler Method, Minimum Number of Warmup Days, Force Suppress All Begin Environment Resets, Minimum System Timestep, MaxZoneTempDiff, MaxAllowedDelTemp
+ Performance Precision Tradeoffs, No, ScriptF, Normal, 4, No, 1, No, 1.0, 0.300, 2.0000E-003
+! <Output Reporting Tolerances>, Tolerance for Time Heating Setpoint Not Met, Tolerance for Zone Cooling Setpoint Not Met Time
+ Output Reporting Tolerances, 0.200, 0.200, 
+! <Site:GroundTemperature:BuildingSurface>,Jan{C},Feb{C},Mar{C},Apr{C},May{C},Jun{C},Jul{C},Aug{C},Sep{C},Oct{C},Nov{C},Dec{C}
+ Site:GroundTemperature:BuildingSurface,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00,  18.00
+! <Site:GroundTemperature:FCfactorMethod>,Jan{C},Feb{C},Mar{C},Apr{C},May{C},Jun{C},Jul{C},Aug{C},Sep{C},Oct{C},Nov{C},Dec{C}
+ Site:GroundTemperature:FCfactorMethod,  -1.50,  -6.19,  -7.46,  -6.35,  -0.03,   7.05,  13.71,  18.53,  19.94,  17.67,  12.21,   5.33
+! <Site:GroundTemperature:Shallow>,Jan{C},Feb{C},Mar{C},Apr{C},May{C},Jun{C},Jul{C},Aug{C},Sep{C},Oct{C},Nov{C},Dec{C}
+ Site:GroundTemperature:Shallow,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00,  13.00
+! <Site:GroundTemperature:Deep>,Jan{C},Feb{C},Mar{C},Apr{C},May{C},Jun{C},Jul{C},Aug{C},Sep{C},Oct{C},Nov{C},Dec{C}
+ Site:GroundTemperature:Deep,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00,  16.00
+! <Site:GroundReflectance>,Jan{dimensionless},Feb{dimensionless},Mar{dimensionless},Apr{dimensionless},May{dimensionless},Jun{dimensionless},Jul{dimensionless},Aug{dimensionless},Sep{dimensionless},Oct{dimensionless},Nov{dimensionless},Dec{dimensionless}
+ Site:GroundReflectance,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20
+! <Site:GroundReflectance:SnowModifier>, Normal, Daylighting {dimensionless}
+ Site:GroundReflectance:SnowModifier,   1.000,   1.000
+! <Site:GroundReflectance:Snow>,Jan{dimensionless},Feb{dimensionless},Mar{dimensionless},Apr{dimensionless},May{dimensionless},Jun{dimensionless},Jul{dimensionless},Aug{dimensionless},Sep{dimensionless},Oct{dimensionless},Nov{dimensionless},Dec{dimensionless}
+ Site:GroundReflectance:Snow,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20
+! <Site:GroundReflectance:Snow:Daylighting>,Jan{dimensionless},Feb{dimensionless},Mar{dimensionless},Apr{dimensionless},May{dimensionless},Jun{dimensionless},Jul{dimensionless},Aug{dimensionless},Sep{dimensionless},Oct{dimensionless},Nov{dimensionless},Dec{dimensionless}
+ Site:GroundReflectance:Snow:Daylighting,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20,  0.20
+! <Environment:Weather Station>,Wind Sensor Height Above Ground {m},Wind Speed Profile Exponent {},Wind Speed Profile Boundary Layer Thickness {m},Air Temperature Sensor Height Above Ground {m},Wind Speed Modifier Coefficient-Internal,Temperature Modifier Coefficient-Internal
+Environment:Weather Station,10.000,0.140,270.000,1.500,1.586,9.750E-003
+! <Site:Location>, Location Name, Latitude {N+/S- Deg}, Longitude {E+/W- Deg},  Time Zone Number {GMT+/-}, Elevation {m},  Standard Pressure at Elevation {Pa}, Standard RhoAir at Elevation
+Site:Location,Montreal Int'l PQ CAN WYEC2-B-94792 WMO#=716270,45.47,-73.75,-5.00,36.00,100893,1.1992
+! <Site Water Mains Temperature Information>,Calculation Method{},Water Mains Temperature Schedule Name{},Annual Average Outdoor Air Temperature{C},Maximum Difference In Monthly Average Outdoor Air Temperatures{deltaC},Fixed Default Water Mains Temperature{C}
+Site Water Mains Temperature Information,FixedDefault,NA,NA,NA,10.0
+! <Building Information>, Building Name,North Axis {deg},Terrain,  Loads Convergence Tolerance Value,Temperature Convergence Tolerance Value,  Solar Distribution,Maximum Number of Warmup Days,Minimum Number of Warmup Days
+ Building Information,Buildings in b'Cote-Saint-Luc',0.000,Suburbs,4.00000E-002,0.40000,FullExterior,25,6
+! <Inside Convection Algorithm>, Algorithm {Simple | TARP | CeilingDiffuser | AdaptiveConvectionAlgorithm}
+Inside Convection Algorithm,TARP
+! <Outside Convection Algorithm>, Algorithm {SimpleCombined | TARP | MoWitt | DOE-2 | AdaptiveConvectionAlgorithm}
+Outside Convection Algorithm,DOE-2
+! <Sky Radiance Distribution>, Value {Anisotropic}
+Sky Radiance Distribution,Anisotropic
+! <Zone Air Solution Algorithm>, Algorithm {ThirdOrderBackwardDifference | AnalyticalSolution | EulerMethod}, Space Heat Balance Sizing, Space Heat Balance Simulation
+ Zone Air Solution Algorithm, ThirdOrderBackwardDifference, No, No
+! <Zone Air Carbon Dioxide Balance Simulation>, Simulation {Yes/No}, Carbon Dioxide Concentration
+ Zone Air Carbon Dioxide Balance Simulation, No,N/A
+! <Zone Air Generic Contaminant Balance Simulation>, Simulation {Yes/No}, Generic Contaminant Concentration
+ Zone Air Generic Contaminant Balance Simulation, No,N/A
+! <Zone Air Mass Flow Balance Simulation>, Enforce Mass Balance, Adjust Zone Mixing and Return {AdjustMixingOnly | AdjustReturnOnly | AdjustMixingThenReturn | AdjustReturnThenMixing | None}, Adjust Zone Infiltration {AddInfiltration | AdjustInfiltration | None}, Infiltration Zones {MixingSourceZonesOnly | AllZones}
+ Zone Air Mass Flow Balance Simulation, No,N/A,N/A,N/A
+! <HVACSystemRootFindingAlgorithm>, Value {RegulaFalsi | Bisection | BisectionThenRegulaFalsi | RegulaFalsiThenBisection}
+ HVACSystemRootFindingAlgorithm, RegulaFalsi
+! <Environment:Site Atmospheric Variation>,Wind Speed Profile Exponent {},Wind Speed Profile Boundary Layer Thickness {m},Air Temperature Gradient Coefficient {K/m}
+Environment:Site Atmospheric Variation,0.220,370.000,6.500000E-003
+! <Surface Geometry>,Starting Corner,Vertex Input Direction,Coordinate System,Daylight Reference Point Coordinate System,Rectangular (Simple) Surface Coordinate System
+ Surface Geometry,UpperLeftCorner,Counterclockwise,WorldCoordinateSystem,RelativeCoordinateSystem,RelativeToZoneOrigin
+! <Surface Heat Transfer Algorithm>, Value {CTF - ConductionTransferFunction | EMPD - MoisturePenetrationDepthConductionTransferFunction | CondFD - ConductionFiniteDifference | HAMT - CombinedHeatAndMoistureFiniteElement} - Description,Inside Surface Max Temperature Limit{C}, Surface Convection Coefficient Lower Limit {W/m2-K}, Surface Convection Coefficient Upper Limit {W/m2-K}
+Surface Heat Transfer Algorithm, CTF - ConductionTransferFunction,200,0.10,1000.0
+! <Shading Summary>, Number of Fixed Detached Shades, Number of Building Detached Shades, Number of Attached Shades
+ Shading Summary,0,0,0
+! <Zone Summary>, Number of Zones, Number of Zone Surfaces, Number of SubSurfaces
+ Zone Summary,99,1563,656
+! <Zone Information>,Zone Name,North Axis {deg},Origin X-Coordinate {m},Origin Y-Coordinate {m},Origin Z-Coordinate {m},Centroid X-Coordinate {m},Centroid Y-Coordinate {m},Centroid Z-Coordinate {m},Type,Zone Multiplier,Zone List Multiplier,Minimum X {m},Maximum X {m},Minimum Y {m},Maximum Y {m},Minimum Z {m},Maximum Z {m},Ceiling Height {m},Volume {m3},Zone Inside Convection Algorithm {Simple-Detailed-CeilingDiffuser-TrombeWall},Zone Outside Convection Algorithm {Simple-Detailed-Tarp-MoWitt-DOE-2-BLAST}, Floor Area {m2},Exterior Gross Wall Area {m2},Exterior Net Wall Area {m2},Exterior Window Area {m2}, Number of Surfaces, Number of SubSurfaces, Number of Shading SubSurfaces,  Part of Total Building Area
+ Zone Information, BUILDING10A,0.0,0.00,0.00,0.00,248.84,478.46,6.00,1,1,1,219.77,277.79,450.41,506.55,0.00,12.00,12.00,20318.43,TARP,DOE-2,1693.20,986.86,789.69,197.18,6,2,0,Yes
+ Zone Information, BUILDINGE11E12E13,0.0,0.00,0.00,0.00,421.57,542.73,22.00,1,1,1,374.74,454.38,466.99,616.43,0.00,44.00,44.00,187825.52,TARP,DOE-2,4268.76,19159.14,15331.14,3828.00,16,14,0,Yes
+ Zone Information, BUILDINGB7,0.0,0.00,0.00,0.00,664.52,1005.29,8.00,1,1,1,618.84,699.40,956.54,1042.17,0.00,16.00,16.00,51109.90,TARP,DOE-2,3194.37,3979.77,3184.62,795.16,9,7,0,Yes
+ Zone Information, BUILDINGB2,0.0,0.00,0.00,0.00,566.24,1239.74,8.00,1,1,1,542.12,591.44,1210.54,1266.20,0.00,16.00,16.00,18994.98,TARP,DOE-2,1187.19,2407.51,1926.49,481.02,6,4,0,Yes
+ Zone Information, BUILDINGB8,0.0,0.00,0.00,0.00,657.30,1144.85,8.00,1,1,1,618.83,701.60,1111.74,1176.08,0.00,16.00,16.00,36746.99,TARP,DOE-2,2296.69,3607.34,2886.59,720.75,14,12,0,Yes
+ Zone Information, BUILDINGA101A102,0.0,0.00,0.00,0.00,822.88,1207.17,16.00,1,1,1,798.40,852.93,1171.78,1243.39,0.00,32.00,32.00,65976.61,TARP,DOE-2,2061.77,5981.73,4786.58,1195.15,6,4,0,Yes
+ Zone Information, BUILDINGB9,0.0,0.00,0.00,0.00,711.53,1087.32,8.00,1,1,1,678.48,744.67,1028.98,1147.58,0.00,16.00,16.00,61907.22,TARP,DOE-2,3869.20,4811.71,3850.33,961.38,14,12,0,Yes
+ Zone Information, BUILDINGB1,0.0,0.00,0.00,0.00,523.16,1203.28,8.00,1,1,1,496.97,550.81,1173.71,1235.76,0.00,16.00,16.00,27204.22,TARP,DOE-2,1700.26,2663.00,2130.93,532.07,6,4,0,Yes
+ Zone Information, BUILDINGB5,0.0,0.00,0.00,0.00,616.26,1190.19,8.00,1,1,1,583.15,656.70,1155.61,1225.01,0.00,16.00,16.00,40806.92,TARP,DOE-2,2550.43,3283.49,2627.45,656.04,6,4,0,Yes
+ Zone Information, BUILDINGB3,0.0,0.00,0.00,0.00,622.02,1313.76,8.00,1,1,1,563.34,672.18,1250.87,1367.17,0.00,16.00,16.00,79080.06,TARP,DOE-2,4942.50,5604.88,4485.02,1119.85,14,12,0,Yes
+ Zone Information, BUILDINGB4,0.0,0.00,0.00,0.00,557.72,1148.95,8.00,1,1,1,528.35,587.10,1118.73,1179.17,0.00,16.00,16.00,29485.34,TARP,DOE-2,1842.83,2750.69,2201.10,549.59,6,4,0,Yes
+ Zone Information, BUILDINGB6,0.0,0.00,0.00,0.00,602.46,1081.21,8.00,1,1,1,563.94,640.68,1037.62,1125.29,0.00,16.00,16.00,48470.27,TARP,DOE-2,3029.39,4162.52,3330.85,831.67,14,12,0,Yes
+ Zone Information, BUILDING4,0.0,0.00,0.00,0.00,812.97,1035.96,8.00,1,1,1,757.92,868.17,967.64,1104.02,0.00,16.00,16.00,80964.74,TARP,DOE-2,5060.30,5096.17,4077.96,1018.21,6,3,0,Yes
+ Zone Information, BUILDINGL19,0.0,0.00,0.00,0.00,599.82,720.66,16.00,1,1,1,585.50,614.14,701.76,739.56,0.00,32.00,32.00,17571.50,TARP,DOE-2,549.11,2710.18,2168.69,541.49,6,3,0,Yes
+ Zone Information, BUILDINGL111L112,0.0,0.00,0.00,0.00,642.26,619.63,24.00,1,1,1,601.54,677.77,589.98,645.36,0.00,48.00,48.00,90815.32,TARP,DOE-2,1891.99,10025.60,8022.48,2003.11,10,8,0,Yes
+ Zone Information, BUILDINGL151L152,0.0,0.00,0.00,0.00,649.29,666.54,24.00,1,1,1,614.73,679.19,642.34,693.30,0.00,48.00,48.00,76801.48,TARP,DOE-2,1600.03,8922.59,7139.86,1782.73,10,8,0,Yes
+ Zone Information, BUILDINGL131L132,0.0,0.00,0.00,0.00,724.93,653.66,24.00,1,1,1,708.57,749.37,619.00,686.51,0.00,48.00,48.00,87708.29,TARP,DOE-2,1827.26,8615.38,6894.03,1721.35,6,4,0,Yes
+ Zone Information, BUILDINGL162L161,0.0,0.00,0.00,0.00,664.41,721.27,24.00,1,1,1,640.54,678.70,685.18,757.15,0.00,48.00,48.00,76204.77,TARP,DOE-2,1587.60,9082.48,7267.80,1814.68,10,8,0,Yes
+ Zone Information, BUILDINGL81L82,0.0,0.00,0.00,0.00,613.43,489.88,24.00,1,1,1,568.08,660.04,465.07,510.87,0.00,48.00,48.00,105540.72,TARP,DOE-2,2198.77,11088.00,8872.61,2215.38,10,8,0,Yes
+ Zone Information, BUILDINGL91L92,0.0,0.00,0.00,0.00,623.27,534.54,24.00,1,1,1,579.09,668.73,513.08,558.84,0.00,48.00,48.00,103935.61,TARP,DOE-2,2165.33,10994.87,8798.09,2196.77,10,8,0,Yes
+ Zone Information, BUILDINGL141,0.0,0.00,0.00,0.00,733.59,709.01,14.00,1,1,1,707.86,763.41,685.17,733.36,0.00,28.00,28.00,39268.93,TARP,DOE-2,1402.46,4604.92,3684.86,920.06,6,4,0,Yes
+ Zone Information, BUILDINGL7,0.0,0.00,0.00,0.00,575.57,458.31,12.00,1,1,1,553.57,592.94,423.31,485.63,0.00,24.00,24.00,37932.72,TARP,DOE-2,1580.53,3637.11,2910.41,726.69,10,7,0,Yes
+ Zone Information, BUILDINGL12L12,0.0,0.00,0.00,0.00,491.08,456.62,16.00,1,1,1,449.76,536.53,436.08,480.65,0.00,32.00,32.00,66053.72,TARP,DOE-2,2064.18,7071.14,5658.33,1412.81,10,8,0,Yes
+ Zone Information, BUILDING333231,0.0,0.00,0.00,0.00,498.97,609.40,6.00,1,1,1,474.36,518.03,555.76,663.61,0.00,12.00,12.00,23775.71,TARP,DOE-2,1981.31,3036.70,2429.97,606.73,10,8,0,Yes
+ Zone Information, BUILDINGL211L212,0.0,0.00,0.00,0.00,739.40,758.16,20.00,1,1,1,703.60,779.75,731.86,789.06,0.00,40.00,40.00,76237.35,TARP,DOE-2,1905.93,8497.27,6799.51,1697.75,10,8,0,Yes
+ Zone Information, BUILDINGL6,0.0,0.00,0.00,0.00,562.74,608.27,16.00,1,1,1,547.86,577.50,578.29,639.43,0.00,32.00,32.00,29598.12,TARP,DOE-2,924.94,4208.95,3368.00,840.95,6,3,0,Yes
+ Zone Information, BUILDINGL12,0.0,0.00,0.00,0.00,605.06,593.82,16.00,1,1,1,591.16,618.87,567.54,621.27,0.00,32.00,32.00,25667.73,TARP,DOE-2,802.12,3720.10,2976.82,743.28,6,3,0,Yes
+ Zone Information, BUILDINGL52L51,0.0,0.00,0.00,0.00,552.56,659.74,16.00,1,1,1,517.83,586.01,631.97,682.07,0.00,32.00,32.00,52189.44,TARP,DOE-2,1630.92,5952.17,4762.93,1189.24,10,8,0,Yes
+ Zone Information, BUILDINGL171L172,0.0,0.00,0.00,0.00,558.74,705.43,16.00,1,1,1,517.27,603.68,679.52,734.03,0.00,32.00,32.00,60780.07,TARP,DOE-2,1899.38,7055.10,5645.49,1409.61,10,8,0,Yes
+ Zone Information, BUILDINGL181L182,0.0,0.00,0.00,0.00,582.67,766.91,16.00,1,1,1,534.12,631.60,739.43,795.24,0.00,32.00,32.00,76980.44,TARP,DOE-2,2405.64,8542.73,6835.89,1706.84,12,10,0,Yes
+ Zone Information, BUILDINGL4,0.0,0.00,0.00,0.00,533.78,558.81,16.00,1,1,1,504.53,563.15,540.05,577.47,0.00,32.00,32.00,43337.99,TARP,DOE-2,1354.31,5068.53,4055.84,1012.69,6,4,0,Yes
+ Zone Information, BUILDINGL202L201,0.0,0.00,0.00,0.00,630.47,804.16,16.00,1,1,1,582.11,675.45,773.87,835.19,0.00,32.00,32.00,72645.76,TARP,DOE-2,2270.18,7750.42,6201.89,1548.53,10,8,0,Yes
+ Zone Information, BUILDINGL2,0.0,0.00,0.00,0.00,484.61,507.26,16.00,1,1,1,458.54,522.12,475.94,538.70,0.00,32.00,32.00,63988.89,TARP,DOE-2,1999.65,6764.41,5412.88,1351.53,14,11,0,Yes
+ Zone Information, BUILDINGL10,0.0,0.00,0.00,0.00,659.08,559.21,16.00,1,1,1,645.98,674.07,539.29,581.86,0.00,32.00,32.00,26934.95,TARP,DOE-2,841.72,3466.36,2773.78,692.58,10,7,0,Yes
+ Zone Information, BUILDINGV8,0.0,0.00,0.00,0.00,251.25,87.68,16.00,1,1,1,215.47,286.99,39.82,135.49,0.00,32.00,32.00,53712.61,TARP,DOE-2,1678.52,7714.28,6172.97,1541.31,6,4,0,Yes
+ Zone Information, BUILDINGC71C72,0.0,0.00,0.00,0.00,502.90,248.62,16.00,1,1,1,471.49,535.54,231.81,276.79,0.00,32.00,32.00,47393.60,TARP,DOE-2,1481.05,5507.80,4407.34,1100.46,10,8,0,Yes
+ Zone Information, BUILDINGC42,0.0,0.00,0.00,0.00,419.07,305.58,16.00,1,1,1,396.30,441.75,251.43,352.27,0.00,32.00,32.00,73731.64,TARP,DOE-2,2304.11,7056.87,5646.91,1409.96,7,4,0,Yes
+ Zone Information, BUILDINGC41,0.0,0.00,0.00,0.00,442.23,264.77,16.00,1,1,1,420.78,471.97,247.58,280.73,0.00,32.00,32.00,33152.91,TARP,DOE-2,1036.03,3982.56,3186.84,795.71,10,7,0,Yes
+ Zone Information, BUILDINGC2,0.0,0.00,0.00,0.00,401.23,154.78,16.00,1,1,1,378.92,424.80,138.16,171.25,0.00,32.00,32.00,31298.91,TARP,DOE-2,978.09,4206.46,3366.01,840.45,6,4,0,Yes
+ Zone Information, BUILDINGV21V22,0.0,0.00,0.00,0.00,414.30,88.79,24.00,1,1,1,376.28,447.41,40.05,125.50,0.00,48.00,48.00,121711.30,TARP,DOE-2,2535.65,12978.05,10385.04,2593.01,18,15,0,Yes
+ Zone Information, BUILDINGV5,0.0,0.00,0.00,0.00,310.06,69.78,12.00,1,1,1,286.50,333.65,40.22,99.36,0.00,24.00,24.00,23292.37,TARP,DOE-2,970.52,3673.81,2939.78,734.03,6,4,0,Yes
+ Zone Information, BUILDINGC6,0.0,0.00,0.00,0.00,488.72,313.53,12.00,1,1,1,468.43,510.13,290.83,333.68,0.00,24.00,24.00,17206.98,TARP,DOE-2,716.96,2538.93,2031.65,507.28,6,3,0,Yes
+ Zone Information, BUILDINGV6,0.0,0.00,0.00,0.00,349.38,84.42,12.00,1,1,1,336.83,362.08,57.25,111.95,0.00,24.00,24.00,19978.41,TARP,DOE-2,832.43,2874.96,2300.55,574.42,6,3,0,Yes
+ Zone Information, BUILDINGV7,0.0,0.00,0.00,0.00,335.95,123.62,12.00,1,1,1,312.22,357.24,106.93,140.42,0.00,24.00,24.00,23693.33,TARP,DOE-2,987.22,3182.51,2546.64,635.87,6,4,0,Yes
+ Zone Information, BUILDINGC52,0.0,0.00,0.00,0.00,473.44,356.05,16.00,1,1,1,419.50,532.62,328.44,380.78,0.00,32.00,32.00,95318.40,TARP,DOE-2,2978.70,7986.81,6391.04,1595.76,11,8,0,Yes
+ Zone Information, BUILDINGV3,0.0,0.00,0.00,0.00,387.05,81.09,8.00,1,1,1,376.69,398.06,63.44,99.40,0.00,16.00,16.00,8313.08,TARP,DOE-2,519.57,1312.31,1050.11,262.20,6,3,0,Yes
+ Zone Information, BUILDING104,0.0,0.00,0.00,0.00,542.60,324.96,2.00,1,1,1,499.55,582.91,262.05,363.19,0.00,4.00,4.00,10862.06,TARP,DOE-2,2715.52,1023.12,818.70,204.42,10,7,0,Yes
+ Zone Information, BUILDINGC12C11,0.0,0.00,0.00,0.00,412.02,207.47,16.00,1,1,1,383.20,441.84,175.21,235.52,0.00,32.00,32.00,64249.47,TARP,DOE-2,2007.80,6557.78,5247.53,1310.24,9,7,0,Yes
+ Zone Information, BUILDINGV41V42,0.0,0.00,0.00,0.00,350.84,26.10,12.00,1,1,1,327.07,368.69,0.00,47.21,0.00,24.00,24.00,28916.30,TARP,DOE-2,1204.85,3292.95,2635.02,657.93,7,5,0,Yes
+ Zone Information, BUILDINGC32C31C33,0.0,0.00,0.00,0.00,471.22,177.66,22.00,1,1,1,433.31,512.76,126.07,222.73,0.00,44.00,44.00,142991.05,TARP,DOE-2,3249.80,15038.31,12033.65,3004.65,16,14,0,Yes
+ Zone Information, BUILDINGV11V12,0.0,0.00,0.00,0.00,402.61,35.20,30.00,1,1,1,383.76,425.86,12.19,52.71,0.00,60.00,60.00,63399.08,TARP,DOE-2,1056.65,6270.95,5018.01,1252.93,7,4,0,Yes
+ Zone Information, BUILDINGE2,0.0,0.00,0.00,0.00,377.71,605.44,16.00,1,1,1,337.07,424.08,556.86,649.53,0.00,32.00,32.00,85524.68,TARP,DOE-2,2672.65,9443.22,7556.47,1886.76,14,12,0,Yes
+ Zone Information, BUILDINGD171D172,0.0,0.00,0.00,0.00,282.10,260.31,16.00,1,1,1,258.82,313.71,209.67,304.55,0.00,32.00,32.00,84919.07,TARP,DOE-2,2653.72,8884.13,7109.08,1775.05,10,8,0,Yes
+ Zone Information, BUILDINGD13,0.0,0.00,0.00,0.00,174.78,305.28,16.00,1,1,1,145.61,201.30,286.00,322.79,0.00,32.00,32.00,33818.41,TARP,DOE-2,1056.83,4722.10,3778.62,943.47,8,6,0,Yes
+ Zone Information, BUILDINGD181D182,0.0,0.00,0.00,0.00,305.70,342.21,16.00,1,1,1,269.92,333.90,309.73,374.30,0.00,32.00,32.00,61014.05,TARP,DOE-2,1906.69,6390.66,5113.81,1276.85,10,6,0,Yes
+ Zone Information, BUILDINGD6,0.0,0.00,0.00,0.00,66.39,627.03,12.00,1,1,1,44.79,87.98,608.88,645.18,0.00,24.00,24.00,15819.25,TARP,DOE-2,659.14,2366.40,1893.59,472.81,6,3,0,Yes
+ Zone Information, BUILDINGD71,0.0,0.00,0.00,0.00,69.07,461.79,12.00,1,1,1,41.46,96.70,438.04,485.53,0.00,24.00,24.00,28014.00,TARP,DOE-2,1167.25,2324.00,1859.66,464.33,6,3,0,Yes
+ Zone Information, BUILDINGD8,0.0,0.00,0.00,0.00,27.39,492.24,12.00,1,1,1,0.00,54.79,456.95,527.55,0.00,24.00,24.00,28639.07,TARP,DOE-2,1193.29,3950.50,3161.19,789.31,6,3,0,Yes
+ Zone Information, BUILDINGD9,0.0,0.00,0.00,0.00,51.40,519.60,12.00,1,1,1,18.82,83.98,476.59,562.60,0.00,24.00,24.00,35802.63,TARP,DOE-2,1491.78,4842.52,3874.99,967.54,6,3,0,Yes
+ Zone Information, BUILDINGD10,0.0,0.00,0.00,0.00,95.12,423.08,12.00,1,1,1,67.50,122.75,399.32,446.84,0.00,24.00,24.00,28033.13,TARP,DOE-2,1168.05,2324.00,1859.67,464.34,6,3,0,Yes
+ Zone Information, BUILDINGD11A,0.0,0.00,0.00,0.00,112.64,364.82,12.00,1,1,1,80.28,135.86,332.96,408.33,0.00,24.00,24.00,30358.85,TARP,DOE-2,1264.95,4300.44,3441.22,859.23,10,7,0,Yes
+ Zone Information, BUILDINGD11B,0.0,0.00,0.00,0.00,142.30,384.60,12.00,1,1,1,109.48,166.45,352.60,427.98,0.00,24.00,24.00,30763.55,TARP,DOE-2,1281.81,4301.73,3442.25,859.49,10,7,0,Yes
+ Zone Information, BUILDINGD15,0.0,0.00,0.00,0.00,219.82,210.31,12.00,1,1,1,207.32,232.31,198.71,221.92,0.00,24.00,24.00,6969.58,TARP,DOE-2,290.40,1170.17,936.37,233.80,6,3,0,Yes
+ Zone Information, BUILDINGD161,0.0,0.00,0.00,0.00,239.52,199.04,12.00,1,1,1,215.13,259.39,179.91,219.94,0.00,24.00,24.00,20340.96,TARP,DOE-2,847.54,2111.97,1690.00,421.97,10,7,0,Yes
+ Zone Information, BUILDINGD14,0.0,0.00,0.00,0.00,189.33,251.53,12.00,1,1,1,163.28,215.37,218.25,284.81,0.00,24.00,24.00,26768.62,TARP,DOE-2,1115.36,4103.37,3283.51,819.85,6,4,0,Yes
+ Zone Information, BUILDING1A,0.0,0.00,0.00,0.00,252.20,343.40,12.00,1,1,1,237.23,269.12,332.27,355.11,0.00,24.00,24.00,11263.41,TARP,DOE-2,469.31,2162.23,1730.21,432.01,7,5,0,Yes
+ Zone Information, BUILDING1C,0.0,0.00,0.00,0.00,277.56,367.41,12.00,1,1,1,249.85,320.56,349.68,387.18,0.00,24.00,24.00,31016.27,TARP,DOE-2,1292.34,4431.63,3546.19,885.44,16,12,0,Yes
+ Zone Information, BUILDING1B,0.0,0.00,0.00,0.00,233.34,279.15,12.00,1,1,1,218.96,247.70,262.75,295.66,0.00,24.00,24.00,15019.33,TARP,DOE-2,625.81,2421.11,1937.37,483.74,6,4,0,Yes
+ Zone Information, BUILDINGD21D22,0.0,0.00,0.00,0.00,185.88,722.17,12.00,1,1,1,162.34,217.96,686.41,759.70,0.00,24.00,24.00,45026.31,TARP,DOE-2,1876.10,4482.56,3586.95,895.62,8,5,0,Yes
+ Zone Information, BUILDINGD20,0.0,0.00,0.00,0.00,100.33,590.74,30.00,1,1,1,76.44,124.23,567.91,613.58,0.00,60.00,60.00,67095.89,TARP,DOE-2,1118.26,8080.53,6466.04,1614.49,6,4,0,Yes
+ Zone Information, BUILDINGD21,0.0,0.00,0.00,0.00,219.89,668.08,30.00,1,1,1,190.58,246.25,644.75,696.18,0.00,60.00,60.00,90170.51,TARP,DOE-2,1502.84,9642.22,7715.71,1926.52,10,8,0,Yes
+ Zone Information, BUILDINGE62E61,0.0,0.00,0.00,0.00,310.54,704.55,16.00,1,1,1,265.54,359.31,652.86,747.92,0.00,32.00,32.00,97235.05,TARP,DOE-2,3038.60,10393.71,8317.04,2076.66,14,12,0,Yes
+ Zone Information, BUILDINGE4,0.0,0.00,0.00,0.00,339.99,645.09,16.00,1,1,1,311.32,372.85,619.56,671.53,0.00,32.00,32.00,43004.19,TARP,DOE-2,1343.88,5244.86,4196.94,1047.92,7,5,0,Yes
+ Zone Information, BUILDINGE5,0.0,0.00,0.00,0.00,373.50,689.01,8.00,1,1,1,350.32,396.67,659.61,718.40,0.00,16.00,16.00,15378.15,TARP,DOE-2,961.13,2428.44,1943.24,485.20,6,4,0,Yes
+ Zone Information, BUILDING0,0.0,0.00,0.00,0.00,139.00,330.72,6.00,1,1,1,122.06,155.93,315.63,345.81,0.00,12.00,12.00,5869.75,TARP,DOE-2,489.15,1108.59,887.09,221.50,6,4,0,Yes
+ Zone Information, BUILDING2131,0.0,0.00,0.00,0.00,284.31,775.01,8.00,1,1,1,232.91,331.25,736.11,814.54,0.00,16.00,16.00,44579.43,TARP,DOE-2,2786.21,4738.26,3791.56,946.70,15,13,0,Yes
+ Zone Information, BUILDING3934,0.0,0.00,0.00,0.00,233.08,838.84,6.00,1,1,1,194.08,283.19,790.05,904.90,0.00,12.00,12.00,61715.63,TARP,DOE-2,5142.97,3712.79,2970.98,741.82,10,8,0,Yes
+ Zone Information, BUILDING107,0.0,0.00,0.00,0.00,95.69,534.96,6.00,1,1,1,59.20,177.68,421.40,592.60,0.00,12.00,12.00,72826.59,TARP,DOE-2,6068.88,3080.03,2464.64,615.39,14,10,0,Yes
+ Zone Information, BUILDING9,0.0,0.00,0.00,0.00,163.58,501.95,6.00,1,1,1,93.04,208.54,441.69,588.59,0.00,12.00,12.00,67763.45,TARP,DOE-2,5646.95,2275.26,1820.66,454.60,8,4,0,Yes
+ Zone Information, BUILDING98,0.0,0.00,0.00,0.00,139.45,616.21,6.00,1,1,1,108.19,170.63,588.89,643.57,0.00,12.00,12.00,19221.88,TARP,DOE-2,1601.82,1682.98,1346.72,336.26,6,3,0,Yes
+ Zone Information, BUILDING29,0.0,0.00,0.00,0.00,283.05,554.23,6.00,1,1,1,208.26,370.86,452.80,665.66,0.00,12.00,12.00,116742.85,TARP,DOE-2,9728.57,4651.80,3722.37,929.43,11,6,0,Yes
+ Zone Information, BUILDINGA51A52,0.0,0.00,0.00,0.00,819.48,879.44,24.00,1,1,1,792.60,844.21,846.31,916.27,0.00,48.00,48.00,80466.33,TARP,DOE-2,1676.38,9122.32,7299.68,1822.64,10,8,0,Yes
+ Zone Information, BUILDINGA31,0.0,0.00,0.00,0.00,767.29,826.08,24.00,1,1,1,734.14,807.17,797.92,848.63,0.00,48.00,48.00,90659.49,TARP,DOE-2,1888.74,8301.67,6643.00,1658.67,10,7,0,Yes
+ Zone Information, BUILDINGA32,0.0,0.00,0.00,0.00,719.40,831.10,24.00,1,1,1,698.25,744.47,800.06,861.84,0.00,48.00,48.00,67635.54,TARP,DOE-2,1409.07,8051.10,6442.49,1608.61,11,9,0,Yes
+ Zone Information, BUILDINGA41,0.0,0.00,0.00,0.00,778.08,877.49,12.00,1,1,1,746.41,801.39,859.05,901.91,0.00,24.00,24.00,31363.56,TARP,DOE-2,1306.81,3290.63,2633.16,657.47,10,7,0,Yes
+ Zone Information, BUILDINGA7,0.0,0.00,0.00,0.00,904.53,1102.08,12.00,1,1,1,877.74,933.04,1068.03,1125.33,0.00,24.00,24.00,35446.20,TARP,DOE-2,1476.92,3813.92,3051.90,762.02,10,7,0,Yes
+ Zone Information, BUILDINGA6,0.0,0.00,0.00,0.00,894.32,1036.42,30.00,1,1,1,872.76,919.60,1010.61,1068.53,0.00,60.00,60.00,93990.91,TARP,DOE-2,1566.52,9778.86,7825.05,1953.82,10,8,0,Yes
+ Zone Information, BUILDINGA81A82,0.0,0.00,0.00,0.00,888.87,1150.85,30.00,1,1,1,852.37,925.35,1107.51,1194.23,0.00,60.00,60.00,146903.32,TARP,DOE-2,2448.39,13759.19,11010.11,2749.09,6,4,0,Yes
+ Zone Information, BUILDINGA11A12,0.0,0.00,0.00,0.00,650.59,858.05,16.00,1,1,1,621.94,668.93,822.97,895.31,0.00,32.00,32.00,69333.10,TARP,DOE-2,2166.66,6252.42,5003.18,1249.23,6,4,0,Yes
+ Zone Information, BUILDING6+8+9,0.0,0.00,0.00,0.00,844.17,1013.68,2.00,1,1,1,810.58,874.73,953.92,1059.66,0.00,4.00,4.00,9261.74,TARP,DOE-2,2315.43,1024.79,820.04,204.75,7,5,0,Yes
+ Zone Information, BUILDING10B,0.0,0.00,0.00,0.00,232.31,515.02,6.00,1,1,1,183.13,285.88,471.40,551.66,0.00,12.00,12.00,38987.33,TARP,DOE-2,3248.94,1268.79,1015.29,253.51,14,8,0,Yes
+ Zone Information, BUILDINGD12D11,0.0,0.00,0.00,0.00,156.94,768.81,28.00,1,1,1,121.72,185.58,740.74,807.11,0.00,56.00,56.00,120216.99,TARP,DOE-2,2146.73,11458.85,9169.37,2289.48,10,8,0,Yes
+ Zone Information, BUILDING3,0.0,0.00,0.00,0.00,742.11,935.18,8.00,1,1,1,697.03,787.08,882.12,988.40,0.00,16.00,16.00,60395.71,TARP,DOE-2,3774.73,3930.78,3145.41,785.37,6,3,0,Yes
+ Zone Information, BUILDING31,0.0,0.00,0.00,0.00,311.91,455.35,6.00,1,1,1,256.15,350.23,413.64,526.46,0.00,12.00,12.00,49043.86,TARP,DOE-2,4086.99,1706.89,1365.86,341.04,12,7,0,Yes
+ Zone Information, BUILDINGD31D32,0.0,0.00,0.00,0.00,105.12,702.47,30.00,1,1,1,61.35,154.42,661.06,746.96,0.00,60.00,60.00,171622.41,TARP,DOE-2,2860.37,18981.78,15189.22,3792.56,14,12,0,Yes
+ Zone Information, BUILDING14,0.0,0.00,0.00,0.00,864.01,967.84,6.00,1,1,1,825.66,902.29,911.48,1024.51,0.00,12.00,12.00,46279.71,TARP,DOE-2,3856.64,3001.99,2402.19,599.80,6,3,0,Yes
+ Zone Information, BUILDINGD52D51,0.0,0.00,0.00,0.00,36.68,642.59,20.00,1,1,1,6.50,63.49,594.16,687.91,0.00,40.00,40.00,87592.45,TARP,DOE-2,2189.81,10314.77,8253.88,2060.89,14,12,0,Yes
+ Zone Information, BUILDING10,0.0,0.00,0.00,0.00,793.05,909.67,4.00,1,1,1,770.00,811.10,884.43,924.22,0.00,8.00,8.00,7555.09,TARP,DOE-2,944.39,784.27,627.57,156.70,10,7,0,Yes
+ Zone Information, BUILDINGD191D192,0.0,0.00,0.00,0.00,205.90,399.46,16.00,1,1,1,174.09,251.55,357.42,436.32,0.00,32.00,32.00,101094.10,TARP,DOE-2,3159.19,7820.59,6258.04,1562.55,15,13,0,Yes
+! <Zone Internal Gains Nominal>,Zone Name, Floor Area {m2},# Occupants,Area per Occupant {m2/person},Occupant per Area {person/m2},Interior Lighting {W/m2},Electric Load {W/m2},Gas Load {W/m2},Other Load {W/m2},Hot Water Eq {W/m2},Steam Equipment {W/m2},Sum Loads per Area {W/m2},Outdoor Controlled Baseboard Heat
+ Zone Internal Gains Nominal, BUILDING10A,1693.20,58.2,29.110,3.435E-002,27.646,0.000,0.000,4.487,0.000,0.000,32.133,No
+ Zone Internal Gains Nominal, BUILDINGE11E12E13,4268.76,2327.6,1.834,0.545,94.955,0.000,0.000,64.423,0.000,0.000,159.378,No
+ Zone Internal Gains Nominal, BUILDINGB7,3194.37,112.9,28.292,3.535E-002,34.813,0.000,0.000,5.502,0.000,0.000,40.315,No
+ Zone Internal Gains Nominal, BUILDINGB2,1187.19,37.3,31.822,3.142E-002,34.044,0.000,0.000,5.322,0.000,0.000,39.366,No
+ Zone Internal Gains Nominal, BUILDINGB8,2296.69,6.1,374.864,2.668E-003,28.410,0.000,0.000,4.001,0.000,0.000,32.412,No
+ Zone Internal Gains Nominal, BUILDINGA101A102,2061.77,388.1,5.313,0.188,78.536,0.000,0.000,33.852,0.000,0.000,112.388,No
+ Zone Internal Gains Nominal, BUILDINGB9,3869.20,136.8,28.292,3.535E-002,34.813,0.000,0.000,5.502,0.000,0.000,40.315,No
+ Zone Internal Gains Nominal, BUILDINGB1,1700.26,53.4,31.822,3.142E-002,34.044,0.000,0.000,5.322,0.000,0.000,39.366,No
+ Zone Internal Gains Nominal, BUILDINGB5,2550.43,123.2,20.699,4.831E-002,30.383,0.000,0.000,11.544,0.000,0.000,41.927,No
+ Zone Internal Gains Nominal, BUILDINGB3,4942.50,155.3,31.822,3.142E-002,34.044,0.000,0.000,5.322,0.000,0.000,39.366,No
+ Zone Internal Gains Nominal, BUILDINGB4,1842.83,89.0,20.699,4.831E-002,30.383,0.000,0.000,11.544,0.000,0.000,41.927,No
+ Zone Internal Gains Nominal, BUILDINGB6,3029.39,146.4,20.699,4.831E-002,30.383,0.000,0.000,11.544,0.000,0.000,41.927,No
+ Zone Internal Gains Nominal, BUILDING4,5060.30,212.6,23.801,4.202E-002,30.111,0.000,0.000,10.504,0.000,0.000,40.615,No
+ Zone Internal Gains Nominal, BUILDINGL19,549.11,219.7,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL111L112,1891.99,1211.3,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGL151L152,1600.03,1024.4,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGL131L132,1827.26,1169.9,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGL162L161,1587.60,1016.4,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGL81L82,2198.77,1407.7,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGL91L92,2165.33,1386.3,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGL141,1402.46,505.1,2.777,0.360,49.518,0.000,0.000,45.016,0.000,0.000,94.534,No
+ Zone Internal Gains Nominal, BUILDINGL7,1580.53,506.0,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGL12L12,2064.18,826.0,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDING333231,1981.31,237.8,8.330,0.120,26.410,0.000,0.000,22.508,0.000,0.000,48.918,No
+ Zone Internal Gains Nominal, BUILDINGL211L212,1905.93,991.4,1.922,0.520,71.526,0.000,0.000,65.024,0.000,0.000,136.550,No
+ Zone Internal Gains Nominal, BUILDINGL6,924.94,370.1,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL12,802.12,321.0,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL52L51,1630.92,652.6,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL171L172,1899.38,760.0,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL181L182,2405.64,962.6,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL4,1354.31,541.9,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL202L201,2270.18,908.4,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL2,1999.65,800.2,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGL10,841.72,336.8,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGV8,1678.52,671.7,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGC71C72,1481.05,592.6,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGC42,2304.11,922.0,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGC41,1036.03,414.6,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGC2,978.09,391.4,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGV21V22,2535.65,1623.4,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGV5,970.52,310.7,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGC6,716.96,229.5,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGV6,832.43,266.5,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGV7,987.22,316.0,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGC52,2978.70,1191.9,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGV3,519.57,104.0,4.998,0.200,27.510,0.000,0.000,25.009,0.000,0.000,52.519,No
+ Zone Internal Gains Nominal, BUILDING104,2715.52,108.7,24.991,4.001E-002,5.502,0.000,0.000,5.002,0.000,0.000,10.504,No
+ Zone Internal Gains Nominal, BUILDINGC12C11,2007.80,783.3,2.563,0.390,67.024,0.000,0.000,46.267,0.000,0.000,113.291,No
+ Zone Internal Gains Nominal, BUILDINGV41V42,1204.85,372.2,3.237,0.309,57.461,0.000,0.000,35.813,0.000,0.000,93.274,No
+ Zone Internal Gains Nominal, BUILDINGC32C31C33,3249.80,1820.5,1.785,0.560,77.028,0.000,0.000,70.025,0.000,0.000,147.053,No
+ Zone Internal Gains Nominal, BUILDINGV11V12,1056.65,832.9,1.269,0.788,124.445,0.000,0.000,95.535,0.000,0.000,219.980,No
+ Zone Internal Gains Nominal, BUILDINGE2,2672.65,1069.4,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGD171D172,2653.72,1061.9,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGD13,1056.83,422.9,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGD181D182,1906.69,763.0,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGD6,659.14,211.0,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD71,1167.25,373.7,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD8,1193.29,382.0,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD9,1491.78,477.5,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD10,1168.05,373.9,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD11A,1264.95,404.9,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD11B,1281.81,410.3,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD15,290.40,93.0,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD161,847.54,271.3,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD14,1115.36,357.0,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDING1A,469.31,150.2,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDING1C,1292.34,413.7,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDING1B,625.81,200.3,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD21D22,1876.10,600.6,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGD20,1118.26,894.9,1.250,0.800,110.040,0.000,0.000,100.036,0.000,0.000,210.076,No
+ Zone Internal Gains Nominal, BUILDINGD21,1502.84,1202.7,1.250,0.800,110.040,0.000,0.000,100.036,0.000,0.000,210.076,No
+ Zone Internal Gains Nominal, BUILDINGE62E61,3038.60,1215.9,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGE4,1343.88,537.7,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDINGE5,961.13,192.3,4.998,0.200,27.510,0.000,0.000,25.009,0.000,0.000,52.519,No
+ Zone Internal Gains Nominal, BUILDING0,489.15,78.3,6.248,0.160,22.008,0.000,0.000,20.007,0.000,0.000,42.015,No
+ Zone Internal Gains Nominal, BUILDING2131,2786.21,7.4,374.864,2.668E-003,28.410,0.000,0.000,4.001,0.000,0.000,32.412,No
+ Zone Internal Gains Nominal, BUILDING3934,5142.97,10.3,499.818,2.001E-003,21.308,0.000,0.000,3.001,0.000,0.000,24.309,No
+ Zone Internal Gains Nominal, BUILDING107,6068.88,444.8,13.645,7.329E-002,29.117,0.000,0.000,10.894,0.000,0.000,40.011,No
+ Zone Internal Gains Nominal, BUILDING9,5646.95,413.8,13.645,7.329E-002,29.117,0.000,0.000,10.894,0.000,0.000,40.011,No
+ Zone Internal Gains Nominal, BUILDING98,1601.82,117.4,13.645,7.329E-002,29.117,0.000,0.000,10.894,0.000,0.000,40.011,No
+ Zone Internal Gains Nominal, BUILDING29,9728.57,713.0,13.645,7.329E-002,29.117,0.000,0.000,10.894,0.000,0.000,40.011,No
+ Zone Internal Gains Nominal, BUILDINGA51A52,1676.38,1073.3,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGA31,1888.74,1209.2,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGA32,1409.07,902.1,1.562,0.640,88.032,0.000,0.000,80.029,0.000,0.000,168.061,No
+ Zone Internal Gains Nominal, BUILDINGA41,1306.81,418.3,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGA7,1476.92,472.8,3.124,0.320,44.016,0.000,0.000,40.015,0.000,0.000,84.031,No
+ Zone Internal Gains Nominal, BUILDINGA6,1566.52,1253.7,1.250,0.800,110.040,0.000,0.000,100.036,0.000,0.000,210.076,No
+ Zone Internal Gains Nominal, BUILDINGA81A82,2448.39,1959.4,1.250,0.800,110.040,0.000,0.000,100.036,0.000,0.000,210.076,No
+ Zone Internal Gains Nominal, BUILDINGA11A12,2166.66,867.0,2.499,0.400,55.020,0.000,0.000,50.018,0.000,0.000,105.038,No
+ Zone Internal Gains Nominal, BUILDING6+8+9,2315.43,92.7,24.991,4.001E-002,8.803,0.000,0.000,7.503,0.000,0.000,16.306,No
+ Zone Internal Gains Nominal, BUILDING10B,3248.94,111.6,29.110,3.435E-002,27.646,0.000,0.000,4.487,0.000,0.000,32.133,No
+ Zone Internal Gains Nominal, BUILDINGD12D11,2146.73,1525.6,1.407,0.711,110.560,0.000,0.000,86.431,0.000,0.000,196.992,No
+ Zone Internal Gains Nominal, BUILDING3,3774.73,158.6,23.801,4.202E-002,30.111,0.000,0.000,10.504,0.000,0.000,40.615,No
+ Zone Internal Gains Nominal, BUILDING31,4086.99,140.4,29.110,3.435E-002,27.646,0.000,0.000,4.487,0.000,0.000,32.133,No
+ Zone Internal Gains Nominal, BUILDINGD31D32,2860.37,2266.2,1.262,0.792,119.644,0.000,0.000,97.035,0.000,0.000,216.679,No
+ Zone Internal Gains Nominal, BUILDING14,3856.64,157.9,24.417,4.095E-002,22.991,0.000,0.000,9.438,0.000,0.000,32.430,No
+ Zone Internal Gains Nominal, BUILDINGD52D51,2189.81,1127.7,1.942,0.515,77.768,0.000,0.000,63.073,0.000,0.000,140.841,No
+ Zone Internal Gains Nominal, BUILDING10,944.39,38.4,24.581,4.068E-002,15.906,0.000,0.000,8.503,0.000,0.000,24.409,No
+ Zone Internal Gains Nominal, BUILDINGD191D192,3159.19,1226.2,2.576,0.388,69.425,0.000,0.000,45.517,0.000,0.000,114.942,No
+! <People Internal Gains Nominal>,Name,Schedule Name,Zone Name,Zone Floor Area {m2},# Zone Occupants,Number of People {},People/Floor Area {person/m2},Floor Area per person {m2/person},Fraction Radiant,Fraction Convected,Sensible Fraction Calculation,Activity level,ASHRAE 55 Warnings,Carbon Dioxide Generation Rate,Nominal Minimum Number of People,Nominal Maximum Number of People
+ People Internal Gains Nominal, BUILDING10A_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10A,1693.20,58.2,58.2,3.435E-002,29.110,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,No,3.8200E-008,0,50
+ People Internal Gains Nominal, BUILDINGE11E12E13_OCCUPANCY,OCCUPANCY SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL,BUILDINGE11E12E13,4268.76,2327.6,2327.6,0.545,1.834,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL,No,3.8200E-008,0,1946
+ People Internal Gains Nominal, BUILDINGB7_OCCUPANCY,OCCUPANCY SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB7,3194.37,112.9,112.9,3.535E-002,28.292,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,No,3.8200E-008,0,99
+ People Internal Gains Nominal, BUILDINGB2_OCCUPANCY,OCCUPANCY SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB2,1187.19,37.3,37.3,3.142E-002,31.822,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,No,3.8200E-008,0,33
+ People Internal Gains Nominal, BUILDINGB8_OCCUPANCY,OCCUPANCY SCHEDULES 100-WAREHOUSE,BUILDINGB8,2296.69,6.1,6.1,2.668E-003,374.864,0.000,1.000,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-WAREHOUSE,No,3.8200E-008,0,6
+ People Internal Gains Nominal, BUILDINGA101A102_OCCUPANCY,OCCUPANCY SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION,BUILDINGA101A102,2061.77,388.1,388.1,0.188,5.313,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,343
+ People Internal Gains Nominal, BUILDINGB9_OCCUPANCY,OCCUPANCY SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB9,3869.20,136.8,136.8,3.535E-002,28.292,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,No,3.8200E-008,0,120
+ People Internal Gains Nominal, BUILDINGB1_OCCUPANCY,OCCUPANCY SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB1,1700.26,53.4,53.4,3.142E-002,31.822,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,No,3.8200E-008,0,47
+ People Internal Gains Nominal, BUILDINGB5_OCCUPANCY,OCCUPANCY SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB5,2550.43,123.2,123.2,4.831E-002,20.699,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,111
+ People Internal Gains Nominal, BUILDINGB3_OCCUPANCY,OCCUPANCY SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB3,4942.50,155.3,155.3,3.142E-002,31.822,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,No,3.8200E-008,0,136
+ People Internal Gains Nominal, BUILDINGB4_OCCUPANCY,OCCUPANCY SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB4,1842.83,89.0,89.0,4.831E-002,20.699,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,80
+ People Internal Gains Nominal, BUILDINGB6_OCCUPANCY,OCCUPANCY SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB6,3029.39,146.4,146.4,4.831E-002,20.699,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,132
+ People Internal Gains Nominal, BUILDING4_OCCUPANCY,OCCUPANCY SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING4,5060.30,212.6,212.6,4.202E-002,23.801,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,191
+ People Internal Gains Nominal, BUILDINGL19_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL19,549.11,219.7,219.7,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,198
+ People Internal Gains Nominal, BUILDINGL111L112_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL111L112,1891.99,1211.3,1211.3,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1090
+ People Internal Gains Nominal, BUILDINGL151L152_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL151L152,1600.03,1024.4,1024.4,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,922
+ People Internal Gains Nominal, BUILDINGL131L132_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL131L132,1827.26,1169.9,1169.9,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1053
+ People Internal Gains Nominal, BUILDINGL162L161_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL162L161,1587.60,1016.4,1016.4,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,915
+ People Internal Gains Nominal, BUILDINGL81L82_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL81L82,2198.77,1407.7,1407.7,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1267
+ People Internal Gains Nominal, BUILDINGL91L92_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL91L92,2165.33,1386.3,1386.3,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1248
+ People Internal Gains Nominal, BUILDINGL141_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL141,1402.46,505.1,505.1,0.360,2.777,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,455
+ People Internal Gains Nominal, BUILDINGL7_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL7,1580.53,506.0,506.0,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,455
+ People Internal Gains Nominal, BUILDINGL12L12_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL12L12,2064.18,826.0,826.0,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,743
+ People Internal Gains Nominal, BUILDING333231_OCCUPANCY,OCCUPANCY SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING333231,1981.31,237.8,237.8,0.120,8.330,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,214
+ People Internal Gains Nominal, BUILDINGL211L212_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL211L212,1905.93,991.4,991.4,0.520,1.922,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,892
+ People Internal Gains Nominal, BUILDINGL6_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL6,924.94,370.1,370.1,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,333
+ People Internal Gains Nominal, BUILDINGL12_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL12,802.12,321.0,321.0,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,289
+ People Internal Gains Nominal, BUILDINGL52L51_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL52L51,1630.92,652.6,652.6,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,587
+ People Internal Gains Nominal, BUILDINGL171L172_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL171L172,1899.38,760.0,760.0,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,684
+ People Internal Gains Nominal, BUILDINGL181L182_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL181L182,2405.64,962.6,962.6,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,866
+ People Internal Gains Nominal, BUILDINGL4_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL4,1354.31,541.9,541.9,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,488
+ People Internal Gains Nominal, BUILDINGL202L201_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL202L201,2270.18,908.4,908.4,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,818
+ People Internal Gains Nominal, BUILDINGL2_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL2,1999.65,800.2,800.2,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,720
+ People Internal Gains Nominal, BUILDINGL10_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGL10,841.72,336.8,336.8,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,303
+ People Internal Gains Nominal, BUILDINGV8_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGV8,1678.52,671.7,671.7,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,604
+ People Internal Gains Nominal, BUILDINGC71C72_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC71C72,1481.05,592.6,592.6,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,533
+ People Internal Gains Nominal, BUILDINGC42_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC42,2304.11,922.0,922.0,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,830
+ People Internal Gains Nominal, BUILDINGC41_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC41,1036.03,414.6,414.6,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,373
+ People Internal Gains Nominal, BUILDINGC2_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC2,978.09,391.4,391.4,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,352
+ People Internal Gains Nominal, BUILDINGV21V22_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGV21V22,2535.65,1623.4,1623.4,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1461
+ People Internal Gains Nominal, BUILDINGV5_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGV5,970.52,310.7,310.7,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,280
+ People Internal Gains Nominal, BUILDINGC6_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC6,716.96,229.5,229.5,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,207
+ People Internal Gains Nominal, BUILDINGV6_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGV6,832.43,266.5,266.5,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,240
+ People Internal Gains Nominal, BUILDINGV7_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGV7,987.22,316.0,316.0,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,284
+ People Internal Gains Nominal, BUILDINGC52_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC52,2978.70,1191.9,1191.9,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1073
+ People Internal Gains Nominal, BUILDINGV3_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGV3,519.57,104.0,104.0,0.200,4.998,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,94
+ People Internal Gains Nominal, BUILDING104_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDING104,2715.52,108.7,108.7,4.001E-002,24.991,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,98
+ People Internal Gains Nominal, BUILDINGC12C11_OCCUPANCY,OCCUPANCY SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL,BUILDINGC12C11,2007.80,783.3,783.3,0.390,2.563,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL,No,3.8200E-008,0,658
+ People Internal Gains Nominal, BUILDINGV41V42_OCCUPANCY,OCCUPANCY SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL,BUILDINGV41V42,1204.85,372.2,372.2,0.309,3.237,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL,No,3.8200E-008,0,304
+ People Internal Gains Nominal, BUILDINGC32C31C33_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGC32C31C33,3249.80,1820.5,1820.5,0.560,1.785,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1638
+ People Internal Gains Nominal, BUILDINGV11V12_OCCUPANCY,OCCUPANCY SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL,BUILDINGV11V12,1056.65,832.9,832.9,0.788,1.269,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL,No,3.8200E-008,0,720
+ People Internal Gains Nominal, BUILDINGE2_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGE2,2672.65,1069.4,1069.4,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,963
+ People Internal Gains Nominal, BUILDINGD171D172_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD171D172,2653.72,1061.9,1061.9,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,956
+ People Internal Gains Nominal, BUILDINGD13_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD13,1056.83,422.9,422.9,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,381
+ People Internal Gains Nominal, BUILDINGD181D182_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD181D182,1906.69,763.0,763.0,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,687
+ People Internal Gains Nominal, BUILDINGD6_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD6,659.14,211.0,211.0,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,190
+ People Internal Gains Nominal, BUILDINGD71_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD71,1167.25,373.7,373.7,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,336
+ People Internal Gains Nominal, BUILDINGD8_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD8,1193.29,382.0,382.0,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,344
+ People Internal Gains Nominal, BUILDINGD9_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD9,1491.78,477.5,477.5,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,430
+ People Internal Gains Nominal, BUILDINGD10_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD10,1168.05,373.9,373.9,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,337
+ People Internal Gains Nominal, BUILDINGD11A_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD11A,1264.95,404.9,404.9,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,364
+ People Internal Gains Nominal, BUILDINGD11B_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD11B,1281.81,410.3,410.3,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,369
+ People Internal Gains Nominal, BUILDINGD15_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD15,290.40,93.0,93.0,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,84
+ People Internal Gains Nominal, BUILDINGD161_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD161,847.54,271.3,271.3,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,244
+ People Internal Gains Nominal, BUILDINGD14_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD14,1115.36,357.0,357.0,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,321
+ People Internal Gains Nominal, BUILDING1A_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDING1A,469.31,150.2,150.2,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,135
+ People Internal Gains Nominal, BUILDING1C_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDING1C,1292.34,413.7,413.7,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,372
+ People Internal Gains Nominal, BUILDING1B_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDING1B,625.81,200.3,200.3,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,180
+ People Internal Gains Nominal, BUILDINGD21D22_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD21D22,1876.10,600.6,600.6,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,541
+ People Internal Gains Nominal, BUILDINGD20_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD20,1118.26,894.9,894.9,0.800,1.250,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,805
+ People Internal Gains Nominal, BUILDINGD21_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGD21,1502.84,1202.7,1202.7,0.800,1.250,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1082
+ People Internal Gains Nominal, BUILDINGE62E61_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGE62E61,3038.60,1215.9,1215.9,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1094
+ People Internal Gains Nominal, BUILDINGE4_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGE4,1343.88,537.7,537.7,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,484
+ People Internal Gains Nominal, BUILDINGE5_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGE5,961.13,192.3,192.3,0.200,4.998,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,173
+ People Internal Gains Nominal, BUILDING0_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDING0,489.15,78.3,78.3,0.160,6.248,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,70
+ People Internal Gains Nominal, BUILDING2131_OCCUPANCY,OCCUPANCY SCHEDULES 100-WAREHOUSE,BUILDING2131,2786.21,7.4,7.4,2.668E-003,374.864,0.000,1.000,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-WAREHOUSE,No,3.8200E-008,0,7
+ People Internal Gains Nominal, BUILDING3934_OCCUPANCY,OCCUPANCY SCHEDULES 100-WAREHOUSE,BUILDING3934,5142.97,10.3,10.3,2.001E-003,499.818,0.000,1.000,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-WAREHOUSE,No,3.8200E-008,0,9
+ People Internal Gains Nominal, BUILDING107_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING107,6068.88,444.8,444.8,7.329E-002,13.645,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,382
+ People Internal Gains Nominal, BUILDING9_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING9,5646.95,413.8,413.8,7.329E-002,13.645,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,355
+ People Internal Gains Nominal, BUILDING98_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING98,1601.82,117.4,117.4,7.329E-002,13.645,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,101
+ People Internal Gains Nominal, BUILDING29_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING29,9728.57,713.0,713.0,7.329E-002,13.645,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,612
+ People Internal Gains Nominal, BUILDINGA51A52_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA51A52,1676.38,1073.3,1073.3,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,966
+ People Internal Gains Nominal, BUILDINGA31_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA31,1888.74,1209.2,1209.2,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1088
+ People Internal Gains Nominal, BUILDINGA32_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA32,1409.07,902.1,902.1,0.640,1.562,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,812
+ People Internal Gains Nominal, BUILDINGA41_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA41,1306.81,418.3,418.3,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,376
+ People Internal Gains Nominal, BUILDINGA7_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA7,1476.92,472.8,472.8,0.320,3.124,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,426
+ People Internal Gains Nominal, BUILDINGA6_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA6,1566.52,1253.7,1253.7,0.800,1.250,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1128
+ People Internal Gains Nominal, BUILDINGA81A82_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA81A82,2448.39,1959.4,1959.4,0.800,1.250,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,1763
+ People Internal Gains Nominal, BUILDINGA11A12_OCCUPANCY,OCCUPANCY SCHEDULES 100-RESIDENTIAL,BUILDINGA11A12,2166.66,867.0,867.0,0.400,2.499,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL,No,3.8200E-008,0,780
+ People Internal Gains Nominal, BUILDING6+8+9_OCCUPANCY,OCCUPANCY SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING6+8+9,2315.43,92.7,92.7,4.001E-002,24.991,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 100-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,83
+ People Internal Gains Nominal, BUILDING10B_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10B,3248.94,111.6,111.6,3.435E-002,29.110,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,No,3.8200E-008,0,97
+ People Internal Gains Nominal, BUILDINGD12D11_OCCUPANCY,OCCUPANCY SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL,BUILDINGD12D11,2146.73,1525.6,1525.6,0.711,1.407,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL,No,3.8200E-008,0,1324
+ People Internal Gains Nominal, BUILDING3_OCCUPANCY,OCCUPANCY SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING3,3774.73,158.6,158.6,4.202E-002,23.801,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,143
+ People Internal Gains Nominal, BUILDING31_OCCUPANCY,OCCUPANCY SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING31,4086.99,140.4,140.4,3.435E-002,29.110,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,No,3.8200E-008,0,122
+ People Internal Gains Nominal, BUILDINGD31D32_OCCUPANCY,OCCUPANCY SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD31D32,2860.37,2266.2,2266.2,0.792,1.262,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,No,3.8200E-008,0,1985
+ People Internal Gains Nominal, BUILDING14_OCCUPANCY,OCCUPANCY SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING14,3856.64,157.9,157.9,4.095E-002,24.417,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,142
+ People Internal Gains Nominal, BUILDINGD52D51_OCCUPANCY,OCCUPANCY SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD52D51,2189.81,1127.7,1127.7,0.515,1.942,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,No,3.8200E-008,0,988
+ People Internal Gains Nominal, BUILDING10_OCCUPANCY,OCCUPANCY SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION,BUILDING10,944.39,38.4,38.4,4.068E-002,24.581,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION,No,3.8200E-008,0,35
+ People Internal Gains Nominal, BUILDINGD191D192_OCCUPANCY,OCCUPANCY SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL,BUILDINGD191D192,3159.19,1226.2,1226.2,0.388,2.576,0.100,0.900,AutoCalculate,ACTIVITY LEVEL SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL,No,3.8200E-008,0,1015
+! <Lights Internal Gains Nominal>,Name,Schedule Name,Zone Name,Zone Floor Area {m2},# Zone Occupants,Lighting Level {W},Lights/Floor Area {W/m2},Lights per person {W/person},Fraction Return Air,Fraction Radiant,Fraction Short Wave,Fraction Convected,Fraction Replaceable,End-Use Category,Nominal Minimum Lighting Level {W},Nominal Maximum Lighting Level {W}
+ Lights Internal Gains Nominal, BUILDING10A_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10A,1693.20,58.2,46810.361,27.646,804.776,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building10A#GeneralLights,0.000,42129.325
+ Lights Internal Gains Nominal, BUILDINGE11E12E13_LIGHTS,LIGHTING SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL,BUILDINGE11E12E13,4268.76,2327.6,405338.302,94.955,174.144,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingE11E12E13#GeneralLights,0.000,345348.233
+ Lights Internal Gains Nominal, BUILDINGB7_LIGHTS,LIGHTING SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB7,3194.37,112.9,111204.481,34.813,984.906,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB7#GeneralLights,0.000,100084.033
+ Lights Internal Gains Nominal, BUILDINGB2_LIGHTS,LIGHTING SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB2,1187.19,37.3,40417.027,34.044,1083.362,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB2#GeneralLights,0.000,36375.324
+ Lights Internal Gains Nominal, BUILDINGB8_LIGHTS,LIGHTING SCHEDULES 100-WAREHOUSE,BUILDINGB8,2296.69,6.1,65249.632,28.410,10650.000,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB8#GeneralLights,0.000,58724.669
+ Lights Internal Gains Nominal, BUILDINGA101A102_LIGHTS,LIGHTING SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION,BUILDINGA101A102,2061.77,388.1,161922.207,78.536,417.235,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA101A102#GeneralLights,0.000,145729.986
+ Lights Internal Gains Nominal, BUILDINGB9_LIGHTS,LIGHTING SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB9,3869.20,136.8,134697.199,34.813,984.906,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB9#GeneralLights,0.000,121227.479
+ Lights Internal Gains Nominal, BUILDINGB1_LIGHTS,LIGHTING SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB1,1700.26,53.4,57884.430,34.044,1083.362,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB1#GeneralLights,0.000,52095.987
+ Lights Internal Gains Nominal, BUILDINGB5_LIGHTS,LIGHTING SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB5,2550.43,123.2,77489.920,30.383,628.907,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB5#GeneralLights,0.000,69740.928
+ Lights Internal Gains Nominal, BUILDINGB3_LIGHTS,LIGHTING SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB3,4942.50,155.3,168264.491,34.044,1083.362,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB3#GeneralLights,0.000,151438.042
+ Lights Internal Gains Nominal, BUILDINGB4_LIGHTS,LIGHTING SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB4,1842.83,89.0,55990.916,30.383,628.907,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB4#GeneralLights,0.000,50391.824
+ Lights Internal Gains Nominal, BUILDINGB6_LIGHTS,LIGHTING SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB6,3029.39,146.4,92042.177,30.383,628.907,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingB6#GeneralLights,0.000,82837.959
+ Lights Internal Gains Nominal, BUILDING4_LIGHTS,LIGHTING SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING4,5060.30,212.6,152370.345,30.111,716.667,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building4#GeneralLights,0.000,137133.310
+ Lights Internal Gains Nominal, BUILDINGL19_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL19,549.11,219.7,30212.005,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL19#GeneralLights,0.000,27190.804
+ Lights Internal Gains Nominal, BUILDINGL111L112_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL111L112,1891.99,1211.3,166555.331,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL111L112#GeneralLights,0.000,149899.798
+ Lights Internal Gains Nominal, BUILDINGL151L152_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL151L152,1600.03,1024.4,140853.940,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL151L152#GeneralLights,0.000,126768.546
+ Lights Internal Gains Nominal, BUILDINGL131L132_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL131L132,1827.26,1169.9,160857.037,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL131L132#GeneralLights,0.000,144771.333
+ Lights Internal Gains Nominal, BUILDINGL162L161_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL162L161,1587.60,1016.4,139759.582,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL162L161#GeneralLights,0.000,125783.624
+ Lights Internal Gains Nominal, BUILDINGL81L82_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL81L82,2198.77,1407.7,193561.726,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL81L82#GeneralLights,0.000,174205.554
+ Lights Internal Gains Nominal, BUILDINGL91L92_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL91L92,2165.33,1386.3,190617.958,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL91L92#GeneralLights,0.000,171556.162
+ Lights Internal Gains Nominal, BUILDINGL141_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL141,1402.46,505.1,69447.115,49.518,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL141#GeneralLights,0.000,62502.404
+ Lights Internal Gains Nominal, BUILDINGL7_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL7,1580.53,506.0,69568.623,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL7#GeneralLights,0.000,62611.761
+ Lights Internal Gains Nominal, BUILDINGL12L12_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL12L12,2064.18,826.0,113571.136,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL12L12#GeneralLights,0.000,102214.022
+ Lights Internal Gains Nominal, BUILDING333231_LIGHTS,LIGHTING SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING333231,1981.31,237.8,52325.593,26.410,220.000,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building333231#GeneralLights,0.000,47093.034
+ Lights Internal Gains Nominal, BUILDINGL211L212_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL211L212,1905.93,991.4,136323.840,71.526,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL211L212#GeneralLights,0.000,122691.456
+ Lights Internal Gains Nominal, BUILDINGL6_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL6,924.94,370.1,50890.282,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL6#GeneralLights,0.000,45801.254
+ Lights Internal Gains Nominal, BUILDINGL12_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL12,802.12,321.0,44132.464,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL12#GeneralLights,0.000,39719.218
+ Lights Internal Gains Nominal, BUILDINGL52L51_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL52L51,1630.92,652.6,89733.243,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL52L51#GeneralLights,0.000,80759.918
+ Lights Internal Gains Nominal, BUILDINGL171L172_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL171L172,1899.38,760.0,104503.747,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL171L172#GeneralLights,0.000,94053.373
+ Lights Internal Gains Nominal, BUILDINGL181L182_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL181L182,2405.64,962.6,132358.279,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL181L182#GeneralLights,0.000,119122.451
+ Lights Internal Gains Nominal, BUILDINGL4_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL4,1354.31,541.9,74514.275,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL4#GeneralLights,0.000,67062.847
+ Lights Internal Gains Nominal, BUILDINGL202L201_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL202L201,2270.18,908.4,124905.324,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL202L201#GeneralLights,0.000,112414.791
+ Lights Internal Gains Nominal, BUILDINGL2_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL2,1999.65,800.2,110020.921,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL2#GeneralLights,0.000,99018.829
+ Lights Internal Gains Nominal, BUILDINGL10_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGL10,841.72,336.8,46311.293,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingL10#GeneralLights,0.000,41680.164
+ Lights Internal Gains Nominal, BUILDINGV8_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGV8,1678.52,671.7,92352.142,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV8#GeneralLights,0.000,83116.928
+ Lights Internal Gains Nominal, BUILDINGC71C72_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC71C72,1481.05,592.6,81487.383,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC71C72#GeneralLights,0.000,73338.645
+ Lights Internal Gains Nominal, BUILDINGC42_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC42,2304.11,922.0,126772.363,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC42#GeneralLights,0.000,114095.126
+ Lights Internal Gains Nominal, BUILDINGC41_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC41,1036.03,414.6,57002.300,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC41#GeneralLights,0.000,51302.070
+ Lights Internal Gains Nominal, BUILDINGC2_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC2,978.09,391.4,53814.583,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC2#GeneralLights,0.000,48433.124
+ Lights Internal Gains Nominal, BUILDINGV21V22_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGV21V22,2535.65,1623.4,223218.579,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV21V22#GeneralLights,0.000,200896.721
+ Lights Internal Gains Nominal, BUILDINGV5_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGV5,970.52,310.7,42718.208,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV5#GeneralLights,0.000,38446.387
+ Lights Internal Gains Nominal, BUILDINGC6_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC6,716.96,229.5,31557.606,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC6#GeneralLights,0.000,28401.846
+ Lights Internal Gains Nominal, BUILDINGV6_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGV6,832.43,266.5,36640.403,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV6#GeneralLights,0.000,32976.363
+ Lights Internal Gains Nominal, BUILDINGV7_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGV7,987.22,316.0,43453.579,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV7#GeneralLights,0.000,39108.221
+ Lights Internal Gains Nominal, BUILDINGC52_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC52,2978.70,1191.9,163888.112,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC52#GeneralLights,0.000,147499.301
+ Lights Internal Gains Nominal, BUILDINGV3_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGV3,519.57,104.0,14293.308,27.510,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV3#GeneralLights,0.000,12863.977
+ Lights Internal Gains Nominal, BUILDING104_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDING104,2715.52,108.7,14940.768,5.502,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building104#GeneralLights,0.000,13446.691
+ Lights Internal Gains Nominal, BUILDINGC12C11_LIGHTS,LIGHTING SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL,BUILDINGC12C11,2007.80,783.3,134571.271,67.024,171.795,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC12C11#GeneralLights,0.000,115058.437
+ Lights Internal Gains Nominal, BUILDINGV41V42_LIGHTS,LIGHTING SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL,BUILDINGV41V42,1204.85,372.2,69231.526,57.461,186.010,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV41V42#GeneralLights,0.000,57946.788
+ Lights Internal Gains Nominal, BUILDINGC32C31C33_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGC32C31C33,3249.80,1820.5,250325.385,77.028,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingC32C31C33#GeneralLights,0.000,225292.846
+ Lights Internal Gains Nominal, BUILDINGV11V12_LIGHTS,LIGHTING SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL,BUILDINGV11V12,1056.65,832.9,131495.258,124.445,157.868,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingV11V12#GeneralLights,0.000,114795.360
+ Lights Internal Gains Nominal, BUILDINGE2_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGE2,2672.65,1069.4,147049.036,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingE2#GeneralLights,0.000,132344.132
+ Lights Internal Gains Nominal, BUILDINGD171D172_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD171D172,2653.72,1061.9,146007.761,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD171D172#GeneralLights,0.000,131406.985
+ Lights Internal Gains Nominal, BUILDINGD13_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD13,1056.83,422.9,58146.542,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD13#GeneralLights,0.000,52331.887
+ Lights Internal Gains Nominal, BUILDINGD181D182_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD181D182,1906.69,763.0,104906.051,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD181D182#GeneralLights,0.000,94415.446
+ Lights Internal Gains Nominal, BUILDINGD6_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD6,659.14,211.0,29012.519,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD6#GeneralLights,0.000,26111.267
+ Lights Internal Gains Nominal, BUILDINGD71_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD71,1167.25,373.7,51377.685,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD71#GeneralLights,0.000,46239.916
+ Lights Internal Gains Nominal, BUILDINGD8_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD8,1193.29,382.0,52524.059,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD8#GeneralLights,0.000,47271.653
+ Lights Internal Gains Nominal, BUILDINGD9_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD9,1491.78,477.5,65662.029,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD9#GeneralLights,0.000,59095.826
+ Lights Internal Gains Nominal, BUILDINGD10_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD10,1168.05,373.9,51412.763,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD10#GeneralLights,0.000,46271.486
+ Lights Internal Gains Nominal, BUILDINGD11A_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD11A,1264.95,404.9,55678.151,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD11a#GeneralLights,0.000,50110.336
+ Lights Internal Gains Nominal, BUILDINGD11B_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD11B,1281.81,410.3,56420.369,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD11b#GeneralLights,0.000,50778.332
+ Lights Internal Gains Nominal, BUILDINGD15_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD15,290.40,93.0,12782.204,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD15#GeneralLights,0.000,11503.984
+ Lights Internal Gains Nominal, BUILDINGD161_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD161,847.54,271.3,37305.321,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD161#GeneralLights,0.000,33574.789
+ Lights Internal Gains Nominal, BUILDINGD14_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD14,1115.36,357.0,49093.654,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD14#GeneralLights,0.000,44184.289
+ Lights Internal Gains Nominal, BUILDING1A_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDING1A,469.31,150.2,20657.092,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building1A#GeneralLights,0.000,18591.383
+ Lights Internal Gains Nominal, BUILDING1C_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDING1C,1292.34,413.7,56883.853,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building1C#GeneralLights,0.000,51195.468
+ Lights Internal Gains Nominal, BUILDING1B_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDING1B,625.81,200.3,27545.451,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building1B#GeneralLights,0.000,24790.906
+ Lights Internal Gains Nominal, BUILDINGD21D22_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD21D22,1876.10,600.6,82578.276,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD21D22#GeneralLights,0.000,74320.448
+ Lights Internal Gains Nominal, BUILDINGD20_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD20,1118.26,894.9,123053.898,110.040,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD20#GeneralLights,0.000,110748.508
+ Lights Internal Gains Nominal, BUILDINGD21_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGD21,1502.84,1202.7,165372.746,110.040,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD21#GeneralLights,0.000,148835.471
+ Lights Internal Gains Nominal, BUILDINGE62E61_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGE62E61,3038.60,1215.9,167183.545,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingE62E61#GeneralLights,0.000,150465.191
+ Lights Internal Gains Nominal, BUILDINGE4_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGE4,1343.88,537.7,73940.352,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingE4#GeneralLights,0.000,66546.317
+ Lights Internal Gains Nominal, BUILDINGE5_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGE5,961.13,192.3,26440.808,27.510,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingE5#GeneralLights,0.000,23796.727
+ Lights Internal Gains Nominal, BUILDING0_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDING0,489.15,78.3,10765.121,22.008,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building0#GeneralLights,0.000,9688.609
+ Lights Internal Gains Nominal, BUILDING2131_LIGHTS,LIGHTING SCHEDULES 100-WAREHOUSE,BUILDING2131,2786.21,7.4,79157.277,28.410,10650.000,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building2131#GeneralLights,0.000,71241.549
+ Lights Internal Gains Nominal, BUILDING3934_LIGHTS,LIGHTING SCHEDULES 100-WAREHOUSE,BUILDING3934,5142.97,10.3,109585.103,21.308,10650.000,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building3934#GeneralLights,0.000,98626.592
+ Lights Internal Gains Nominal, BUILDING107_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING107,6068.88,444.8,176705.158,29.117,397.297,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building107#GeneralLights,0.000,157444.296
+ Lights Internal Gains Nominal, BUILDING9_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING9,5646.95,413.8,164420.043,29.117,397.297,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building9#GeneralLights,0.000,146498.259
+ Lights Internal Gains Nominal, BUILDING98_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING98,1601.82,117.4,46639.637,29.117,397.297,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building98#GeneralLights,0.000,41555.917
+ Lights Internal Gains Nominal, BUILDING29_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING29,9728.57,713.0,283262.816,29.117,397.297,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building29#GeneralLights,0.000,252387.169
+ Lights Internal Gains Nominal, BUILDINGA51A52_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA51A52,1676.38,1073.3,147575.275,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA51A52#GeneralLights,0.000,132817.748
+ Lights Internal Gains Nominal, BUILDINGA31_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA31,1888.74,1209.2,166269.536,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA31#GeneralLights,0.000,149642.582
+ Lights Internal Gains Nominal, BUILDINGA32_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA32,1409.07,902.1,124043.611,88.032,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA32#GeneralLights,0.000,111639.250
+ Lights Internal Gains Nominal, BUILDINGA41_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA41,1306.81,418.3,57520.774,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA41#GeneralLights,0.000,51768.697
+ Lights Internal Gains Nominal, BUILDINGA7_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA7,1476.92,472.8,65008.342,44.016,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA7#GeneralLights,0.000,58507.508
+ Lights Internal Gains Nominal, BUILDINGA6_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA6,1566.52,1253.7,172379.361,110.040,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA6#GeneralLights,0.000,155141.425
+ Lights Internal Gains Nominal, BUILDINGA81A82_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA81A82,2448.39,1959.4,269420.751,110.040,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA81A82#GeneralLights,0.000,242478.676
+ Lights Internal Gains Nominal, BUILDINGA11A12_LIGHTS,LIGHTING SCHEDULES 100-RESIDENTIAL,BUILDINGA11A12,2166.66,867.0,119209.619,55.020,137.500,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingA11A12#GeneralLights,0.000,107288.657
+ Lights Internal Gains Nominal, BUILDING6+8+9_LIGHTS,LIGHTING SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING6+8+9,2315.43,92.7,20383.232,8.803,220.000,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building6+8+9#GeneralLights,0.000,18344.909
+ Lights Internal Gains Nominal, BUILDING10B_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10B,3248.94,111.6,89820.488,27.646,804.776,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building10B#GeneralLights,0.000,80838.439
+ Lights Internal Gains Nominal, BUILDINGD12D11_LIGHTS,LIGHTING SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL,BUILDINGD12D11,2146.73,1525.6,237343.148,110.560,155.574,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD12D11#GeneralLights,0.000,207912.598
+ Lights Internal Gains Nominal, BUILDING3_LIGHTS,LIGHTING SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING3,3774.73,158.6,113660.771,30.111,716.667,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building3#GeneralLights,0.000,102294.694
+ Lights Internal Gains Nominal, BUILDING31_LIGHTS,LIGHTING SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING31,4086.99,140.4,112989.116,27.646,804.776,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building31#GeneralLights,0.000,101690.204
+ Lights Internal Gains Nominal, BUILDINGD31D32_LIGHTS,LIGHTING SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD31D32,2860.37,2266.2,342225.143,119.644,151.010,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD31D32#GeneralLights,0.000,301842.576
+ Lights Internal Gains Nominal, BUILDING14_LIGHTS,LIGHTING SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING14,3856.64,157.9,88669.464,22.991,561.383,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building14#GeneralLights,0.000,79802.518
+ Lights Internal Gains Nominal, BUILDINGD52D51_LIGHTS,LIGHTING SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD52D51,2189.81,1127.7,170297.859,77.768,151.010,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD52D51#GeneralLights,0.000,150202.712
+ Lights Internal Gains Nominal, BUILDING10_LIGHTS,LIGHTING SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION,BUILDING10,944.39,38.4,15021.201,15.906,390.984,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#Building10#GeneralLights,0.000,13519.081
+ Lights Internal Gains Nominal, BUILDINGD191D192_LIGHTS,LIGHTING SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL,BUILDINGD191D192,3159.19,1226.2,219327.606,69.425,178.866,0.000,0.500,0.000,0.500,1.000,ELECTRIC EQUIPMENT#BuildingD191D192#GeneralLights,0.000,185551.155
+! <OtherEquipment Internal Gains Nominal>,Name,Schedule Name,Zone Name,Zone Floor Area {m2},# Zone Occupants,Equipment Level {W},Equipment/Floor Area {W/m2},Equipment per person {W/person},Fraction Latent,Fraction Radiant,Fraction Lost,Fraction Convected,Nominal Minimum Equipment Level {W},Nominal Maximum Equipment Level {W}
+ OtherEquipment Internal Gains Nominal, BUILDING10A_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10A,1693.20,58.2,7596.775,4.487,130.606,0.000,0.500,0.000,0.500,0.000,6837.097
+ OtherEquipment Internal Gains Nominal, BUILDINGE11E12E13_APPLIANCE,APPLIANCE SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL,BUILDINGE11E12E13,4268.76,2327.6,275008.287,64.423,118.151,0.000,0.500,0.000,0.500,0.000,247507.459
+ OtherEquipment Internal Gains Nominal, BUILDINGB7_APPLIANCE,APPLIANCE SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB7,3194.37,112.9,17575.421,5.502,155.660,0.000,0.500,0.000,0.500,0.000,15817.879
+ OtherEquipment Internal Gains Nominal, BUILDINGB2_APPLIANCE,APPLIANCE SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB2,1187.19,37.3,6318.130,5.322,169.355,0.000,0.500,0.000,0.500,0.000,5686.317
+ OtherEquipment Internal Gains Nominal, BUILDINGB8_APPLIANCE,APPLIANCE SCHEDULES 100-WAREHOUSE,BUILDINGB8,2296.69,6.1,9190.089,4.001,1500.000,0.000,0.500,0.000,0.500,0.000,8271.080
+ OtherEquipment Internal Gains Nominal, BUILDINGA101A102_APPLIANCE,APPLIANCE SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION,BUILDINGA101A102,2061.77,388.1,69795.655,33.852,179.847,0.000,0.500,0.000,0.500,0.000,62816.089
+ OtherEquipment Internal Gains Nominal, BUILDINGB9_APPLIANCE,APPLIANCE SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB9,3869.20,136.8,21288.350,5.502,155.660,0.000,0.500,0.000,0.500,0.000,19159.515
+ OtherEquipment Internal Gains Nominal, BUILDINGB1_APPLIANCE,APPLIANCE SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB1,1700.26,53.4,9048.694,5.322,169.355,0.000,0.500,0.000,0.500,0.000,8143.825
+ OtherEquipment Internal Gains Nominal, BUILDINGB5_APPLIANCE,APPLIANCE SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB5,2550.43,123.2,29442.700,11.544,238.956,0.000,0.500,0.000,0.500,0.000,26498.430
+ OtherEquipment Internal Gains Nominal, BUILDINGB3_APPLIANCE,APPLIANCE SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB3,4942.50,155.3,26303.687,5.322,169.355,0.000,0.500,0.000,0.500,0.000,23673.319
+ OtherEquipment Internal Gains Nominal, BUILDINGB4_APPLIANCE,APPLIANCE SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB4,1842.83,89.0,21274.041,11.544,238.956,0.000,0.500,0.000,0.500,0.000,19146.637
+ OtherEquipment Internal Gains Nominal, BUILDINGB6_APPLIANCE,APPLIANCE SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB6,3029.39,146.4,34971.906,11.544,238.956,0.000,0.500,0.000,0.500,0.000,31474.715
+ OtherEquipment Internal Gains Nominal, BUILDING4_APPLIANCE,APPLIANCE SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING4,5060.30,212.6,53152.446,10.504,250.000,0.000,0.500,0.000,0.500,0.000,47837.201
+ OtherEquipment Internal Gains Nominal, BUILDINGL19_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL19,549.11,219.7,27465.459,50.018,125.000,0.000,0.500,0.000,0.500,0.000,24718.913
+ OtherEquipment Internal Gains Nominal, BUILDINGL111L112_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL111L112,1891.99,1211.3,151413.937,80.029,125.000,0.000,0.500,0.000,0.500,0.000,136272.544
+ OtherEquipment Internal Gains Nominal, BUILDINGL151L152_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL151L152,1600.03,1024.4,128049.036,80.029,125.000,0.000,0.500,0.000,0.500,0.000,115244.133
+ OtherEquipment Internal Gains Nominal, BUILDINGL131L132_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL131L132,1827.26,1169.9,146233.670,80.029,125.000,0.000,0.500,0.000,0.500,0.000,131610.303
+ OtherEquipment Internal Gains Nominal, BUILDINGL162L161_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL162L161,1587.60,1016.4,127054.166,80.029,125.000,0.000,0.500,0.000,0.500,0.000,114348.749
+ OtherEquipment Internal Gains Nominal, BUILDINGL81L82_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL81L82,2198.77,1407.7,175965.206,80.029,125.000,0.000,0.500,0.000,0.500,0.000,158368.685
+ OtherEquipment Internal Gains Nominal, BUILDINGL91L92_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL91L92,2165.33,1386.3,173289.052,80.029,125.000,0.000,0.500,0.000,0.500,0.000,155960.147
+ OtherEquipment Internal Gains Nominal, BUILDINGL141_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL141,1402.46,505.1,63133.741,45.016,125.000,0.000,0.500,0.000,0.500,0.000,56820.367
+ OtherEquipment Internal Gains Nominal, BUILDINGL7_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL7,1580.53,506.0,63244.203,40.015,125.000,0.000,0.500,0.000,0.500,0.000,56919.783
+ OtherEquipment Internal Gains Nominal, BUILDINGL12L12_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL12L12,2064.18,826.0,103246.487,50.018,125.000,0.000,0.500,0.000,0.500,0.000,92921.839
+ OtherEquipment Internal Gains Nominal, BUILDING333231_APPLIANCE,APPLIANCE SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING333231,1981.31,237.8,44595.676,22.508,187.500,0.000,0.500,0.000,0.500,0.000,40136.108
+ OtherEquipment Internal Gains Nominal, BUILDINGL211L212_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL211L212,1905.93,991.4,123930.764,65.024,125.000,0.000,0.500,0.000,0.500,0.000,111537.688
+ OtherEquipment Internal Gains Nominal, BUILDINGL6_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL6,924.94,370.1,46263.893,50.018,125.000,0.000,0.500,0.000,0.500,0.000,41637.504
+ OtherEquipment Internal Gains Nominal, BUILDINGL12_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL12,802.12,321.0,40120.422,50.018,125.000,0.000,0.500,0.000,0.500,0.000,36108.380
+ OtherEquipment Internal Gains Nominal, BUILDINGL52L51_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL52L51,1630.92,652.6,81575.675,50.018,125.000,0.000,0.500,0.000,0.500,0.000,73418.108
+ OtherEquipment Internal Gains Nominal, BUILDINGL171L172_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL171L172,1899.38,760.0,95003.407,50.018,125.000,0.000,0.500,0.000,0.500,0.000,85503.066
+ OtherEquipment Internal Gains Nominal, BUILDINGL181L182_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL181L182,2405.64,962.6,120325.708,50.018,125.000,0.000,0.500,0.000,0.500,0.000,108293.137
+ OtherEquipment Internal Gains Nominal, BUILDINGL4_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL4,1354.31,541.9,67740.250,50.018,125.000,0.000,0.500,0.000,0.500,0.000,60966.225
+ OtherEquipment Internal Gains Nominal, BUILDINGL202L201_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL202L201,2270.18,908.4,113550.294,50.018,125.000,0.000,0.500,0.000,0.500,0.000,102195.265
+ OtherEquipment Internal Gains Nominal, BUILDINGL2_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL2,1999.65,800.2,100019.019,50.018,125.000,0.000,0.500,0.000,0.500,0.000,90017.117
+ OtherEquipment Internal Gains Nominal, BUILDINGL10_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGL10,841.72,336.8,42101.175,50.018,125.000,0.000,0.500,0.000,0.500,0.000,37891.058
+ OtherEquipment Internal Gains Nominal, BUILDINGV8_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGV8,1678.52,671.7,83956.493,50.018,125.000,0.000,0.500,0.000,0.500,0.000,75560.843
+ OtherEquipment Internal Gains Nominal, BUILDINGC71C72_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC71C72,1481.05,592.6,74079.439,50.018,125.000,0.000,0.500,0.000,0.500,0.000,66671.496
+ OtherEquipment Internal Gains Nominal, BUILDINGC42_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC42,2304.11,922.0,115247.602,50.018,125.000,0.000,0.500,0.000,0.500,0.000,103722.842
+ OtherEquipment Internal Gains Nominal, BUILDINGC41_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC41,1036.03,414.6,51820.273,50.018,125.000,0.000,0.500,0.000,0.500,0.000,46638.246
+ OtherEquipment Internal Gains Nominal, BUILDINGC2_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC2,978.09,391.4,48922.348,50.018,125.000,0.000,0.500,0.000,0.500,0.000,44030.113
+ OtherEquipment Internal Gains Nominal, BUILDINGV21V22_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGV21V22,2535.65,1623.4,202925.981,80.029,125.000,0.000,0.500,0.000,0.500,0.000,182633.383
+ OtherEquipment Internal Gains Nominal, BUILDINGV5_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGV5,970.52,310.7,38834.735,40.015,125.000,0.000,0.500,0.000,0.500,0.000,34951.261
+ OtherEquipment Internal Gains Nominal, BUILDINGC6_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC6,716.96,229.5,28688.733,40.015,125.000,0.000,0.500,0.000,0.500,0.000,25819.860
+ OtherEquipment Internal Gains Nominal, BUILDINGV6_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGV6,832.43,266.5,33309.457,40.015,125.000,0.000,0.500,0.000,0.500,0.000,29978.512
+ OtherEquipment Internal Gains Nominal, BUILDINGV7_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGV7,987.22,316.0,39503.254,40.015,125.000,0.000,0.500,0.000,0.500,0.000,35552.929
+ OtherEquipment Internal Gains Nominal, BUILDINGC52_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC52,2978.70,1191.9,148989.192,50.018,125.000,0.000,0.500,0.000,0.500,0.000,134090.273
+ OtherEquipment Internal Gains Nominal, BUILDINGV3_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGV3,519.57,104.0,12993.916,25.009,125.000,0.000,0.500,0.000,0.500,0.000,11694.525
+ OtherEquipment Internal Gains Nominal, BUILDING104_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDING104,2715.52,108.7,13582.517,5.002,125.000,0.000,0.500,0.000,0.500,0.000,12224.265
+ OtherEquipment Internal Gains Nominal, BUILDINGC12C11_APPLIANCE,APPLIANCE SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL,BUILDINGC12C11,2007.80,783.3,92894.348,46.267,118.590,0.000,0.500,0.000,0.500,0.000,83604.913
+ OtherEquipment Internal Gains Nominal, BUILDINGV41V42_APPLIANCE,APPLIANCE SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL,BUILDINGV41V42,1204.85,372.2,43149.176,35.813,115.933,0.000,0.500,0.000,0.500,0.000,38834.258
+ OtherEquipment Internal Gains Nominal, BUILDINGC32C31C33_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGC32C31C33,3249.80,1820.5,227568.532,70.025,125.000,0.000,0.500,0.000,0.500,0.000,204811.679
+ OtherEquipment Internal Gains Nominal, BUILDINGV11V12_APPLIANCE,APPLIANCE SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL,BUILDINGV11V12,1056.65,832.9,100946.922,95.535,121.193,0.000,0.500,0.000,0.500,0.000,90852.230
+ OtherEquipment Internal Gains Nominal, BUILDINGE2_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGE2,2672.65,1069.4,133680.942,50.018,125.000,0.000,0.500,0.000,0.500,0.000,120312.847
+ OtherEquipment Internal Gains Nominal, BUILDINGD171D172_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD171D172,2653.72,1061.9,132734.328,50.018,125.000,0.000,0.500,0.000,0.500,0.000,119460.896
+ OtherEquipment Internal Gains Nominal, BUILDINGD13_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD13,1056.83,422.9,52860.492,50.018,125.000,0.000,0.500,0.000,0.500,0.000,47574.443
+ OtherEquipment Internal Gains Nominal, BUILDINGD181D182_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD181D182,1906.69,763.0,95369.137,50.018,125.000,0.000,0.500,0.000,0.500,0.000,85832.224
+ OtherEquipment Internal Gains Nominal, BUILDINGD6_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD6,659.14,211.0,26375.017,40.015,125.000,0.000,0.500,0.000,0.500,0.000,23737.516
+ OtherEquipment Internal Gains Nominal, BUILDINGD71_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD71,1167.25,373.7,46706.986,40.015,125.000,0.000,0.500,0.000,0.500,0.000,42036.288
+ OtherEquipment Internal Gains Nominal, BUILDINGD8_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD8,1193.29,382.0,47749.145,40.015,125.000,0.000,0.500,0.000,0.500,0.000,42974.230
+ OtherEquipment Internal Gains Nominal, BUILDINGD9_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD9,1491.78,477.5,59692.753,40.015,125.000,0.000,0.500,0.000,0.500,0.000,53723.478
+ OtherEquipment Internal Gains Nominal, BUILDINGD10_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD10,1168.05,373.9,46738.875,40.015,125.000,0.000,0.500,0.000,0.500,0.000,42064.988
+ OtherEquipment Internal Gains Nominal, BUILDINGD11A_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD11A,1264.95,404.9,50616.501,40.015,125.000,0.000,0.500,0.000,0.500,0.000,45554.851
+ OtherEquipment Internal Gains Nominal, BUILDINGD11B_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD11B,1281.81,410.3,51291.245,40.015,125.000,0.000,0.500,0.000,0.500,0.000,46162.120
+ OtherEquipment Internal Gains Nominal, BUILDINGD15_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD15,290.40,93.0,11620.186,40.015,125.000,0.000,0.500,0.000,0.500,0.000,10458.167
+ OtherEquipment Internal Gains Nominal, BUILDINGD161_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD161,847.54,271.3,33913.928,40.015,125.000,0.000,0.500,0.000,0.500,0.000,30522.535
+ OtherEquipment Internal Gains Nominal, BUILDINGD14_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD14,1115.36,357.0,44630.595,40.015,125.000,0.000,0.500,0.000,0.500,0.000,40167.535
+ OtherEquipment Internal Gains Nominal, BUILDING1A_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDING1A,469.31,150.2,18779.175,40.015,125.000,0.000,0.500,0.000,0.500,0.000,16901.257
+ OtherEquipment Internal Gains Nominal, BUILDING1C_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDING1C,1292.34,413.7,51712.594,40.015,125.000,0.000,0.500,0.000,0.500,0.000,46541.334
+ OtherEquipment Internal Gains Nominal, BUILDING1B_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDING1B,625.81,200.3,25041.319,40.015,125.000,0.000,0.500,0.000,0.500,0.000,22537.187
+ OtherEquipment Internal Gains Nominal, BUILDINGD21D22_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD21D22,1876.10,600.6,75071.160,40.015,125.000,0.000,0.500,0.000,0.500,0.000,67564.044
+ OtherEquipment Internal Gains Nominal, BUILDINGD20_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD20,1118.26,894.9,111867.180,100.036,125.000,0.000,0.500,0.000,0.500,0.000,100680.462
+ OtherEquipment Internal Gains Nominal, BUILDINGD21_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGD21,1502.84,1202.7,150338.860,100.036,125.000,0.000,0.500,0.000,0.500,0.000,135304.974
+ OtherEquipment Internal Gains Nominal, BUILDINGE62E61_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGE62E61,3038.60,1215.9,151985.041,50.018,125.000,0.000,0.500,0.000,0.500,0.000,136786.537
+ OtherEquipment Internal Gains Nominal, BUILDINGE4_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGE4,1343.88,537.7,67218.502,50.018,125.000,0.000,0.500,0.000,0.500,0.000,60496.652
+ OtherEquipment Internal Gains Nominal, BUILDINGE5_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGE5,961.13,192.3,24037.098,25.009,125.000,0.000,0.500,0.000,0.500,0.000,21633.388
+ OtherEquipment Internal Gains Nominal, BUILDING0_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDING0,489.15,78.3,9786.474,20.007,125.000,0.000,0.500,0.000,0.500,0.000,8807.827
+ OtherEquipment Internal Gains Nominal, BUILDING2131_APPLIANCE,APPLIANCE SCHEDULES 100-WAREHOUSE,BUILDING2131,2786.21,7.4,11148.912,4.001,1500.000,0.000,0.500,0.000,0.500,0.000,10034.021
+ OtherEquipment Internal Gains Nominal, BUILDING3934_APPLIANCE,APPLIANCE SCHEDULES 100-WAREHOUSE,BUILDING3934,5142.97,10.3,15434.521,3.001,1500.000,0.000,0.500,0.000,0.500,0.000,13891.069
+ OtherEquipment Internal Gains Nominal, BUILDING107_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING107,6068.88,444.8,66114.175,10.894,148.649,0.000,0.500,0.000,0.500,0.000,58907.730
+ OtherEquipment Internal Gains Nominal, BUILDING9_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING9,5646.95,413.8,61517.703,10.894,148.649,0.000,0.500,0.000,0.500,0.000,54812.274
+ OtherEquipment Internal Gains Nominal, BUILDING98_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING98,1601.82,117.4,17450.204,10.894,148.649,0.000,0.500,0.000,0.500,0.000,15548.132
+ OtherEquipment Internal Gains Nominal, BUILDING29_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING29,9728.57,713.0,105982.686,10.894,148.649,0.000,0.500,0.000,0.500,0.000,94430.574
+ OtherEquipment Internal Gains Nominal, BUILDINGA51A52_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA51A52,1676.38,1073.3,134159.341,80.029,125.000,0.000,0.500,0.000,0.500,0.000,120743.407
+ OtherEquipment Internal Gains Nominal, BUILDINGA31_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA31,1888.74,1209.2,151154.123,80.029,125.000,0.000,0.500,0.000,0.500,0.000,136038.711
+ OtherEquipment Internal Gains Nominal, BUILDINGA32_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA32,1409.07,902.1,112766.919,80.029,125.000,0.000,0.500,0.000,0.500,0.000,101490.227
+ OtherEquipment Internal Gains Nominal, BUILDINGA41_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA41,1306.81,418.3,52291.613,40.015,125.000,0.000,0.500,0.000,0.500,0.000,47062.452
+ OtherEquipment Internal Gains Nominal, BUILDINGA7_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA7,1476.92,472.8,59098.493,40.015,125.000,0.000,0.500,0.000,0.500,0.000,53188.644
+ OtherEquipment Internal Gains Nominal, BUILDINGA6_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA6,1566.52,1253.7,156708.510,100.036,125.000,0.000,0.500,0.000,0.500,0.000,141037.659
+ OtherEquipment Internal Gains Nominal, BUILDINGA81A82_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA81A82,2448.39,1959.4,244927.955,100.036,125.000,0.000,0.500,0.000,0.500,0.000,220435.160
+ OtherEquipment Internal Gains Nominal, BUILDINGA11A12_APPLIANCE,APPLIANCE SCHEDULES 100-RESIDENTIAL,BUILDINGA11A12,2166.66,867.0,108372.381,50.018,125.000,0.000,0.500,0.000,0.500,0.000,97535.143
+ OtherEquipment Internal Gains Nominal, BUILDING6+8+9_APPLIANCE,APPLIANCE SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING6+8+9,2315.43,92.7,17372.073,7.503,187.500,0.000,0.500,0.000,0.500,0.000,15634.866
+ OtherEquipment Internal Gains Nominal, BUILDING10B_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10B,3248.94,111.6,14576.816,4.487,130.606,0.000,0.500,0.000,0.500,0.000,13119.134
+ OtherEquipment Internal Gains Nominal, BUILDINGD12D11_APPLIANCE,APPLIANCE SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL,BUILDINGD12D11,2146.73,1525.6,185545.132,86.431,121.622,0.000,0.500,0.000,0.500,0.000,166990.619
+ OtherEquipment Internal Gains Nominal, BUILDING3_APPLIANCE,APPLIANCE SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING3,3774.73,158.6,39649.106,10.504,250.000,0.000,0.500,0.000,0.500,0.000,35684.196
+ OtherEquipment Internal Gains Nominal, BUILDING31_APPLIANCE,APPLIANCE SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING31,4086.99,140.4,18336.814,4.487,130.606,0.000,0.500,0.000,0.500,0.000,16503.132
+ OtherEquipment Internal Gains Nominal, BUILDINGD31D32_APPLIANCE,APPLIANCE SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD31D32,2860.37,2266.2,277557.181,97.035,122.475,0.000,0.500,0.000,0.500,0.000,249801.463
+ OtherEquipment Internal Gains Nominal, BUILDING14_APPLIANCE,APPLIANCE SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING14,3856.64,157.9,36400.661,9.438,230.459,0.000,0.500,0.000,0.500,0.000,32760.595
+ OtherEquipment Internal Gains Nominal, BUILDINGD52D51_APPLIANCE,APPLIANCE SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD52D51,2189.81,1127.7,138117.829,63.073,122.475,0.000,0.500,0.000,0.500,0.000,124306.046
+ OtherEquipment Internal Gains Nominal, BUILDING10_APPLIANCE,APPLIANCE SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION,BUILDING10,944.39,38.4,8030.202,8.503,209.016,0.000,0.500,0.000,0.500,0.000,7227.182
+ OtherEquipment Internal Gains Nominal, BUILDINGD191D192_APPLIANCE,APPLIANCE SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL,BUILDINGD191D192,3159.19,1226.2,143795.476,45.517,117.268,0.000,0.500,0.000,0.500,0.000,129415.929
+! <Shadowing/Sun Position Calculations Annual Simulations>, Shading Calculation Method, Shading Calculation Update Frequency Method, Shading Calculation Update Frequency {days}, Maximum Figures in Shadow Overlap Calculations {}, Polygon Clipping Algorithm, Pixel Counting Resolution, Sky Diffuse Modeling Algorithm, Output External Shading Calculation Results, Disable Self-Shading Within Shading Zone Groups, Disable Self-Shading From Shading Zone Groups to Other Zones
+Shadowing/Sun Position Calculations Annual Simulations,PolygonClipping,Periodic,20,15000,SutherlandHodgman,512,SimpleSkyDiffuseModeling,No,No,No
+! <ZoneInfiltration Airflow Stats Nominal>,Name,Schedule Name,Zone Name, Zone Floor Area {m2}, # Zone Occupants,Design Volume Flow Rate {m3/s},Volume Flow Rate/Floor Area {m3/s-m2},Volume Flow Rate/Exterior Surface Area {m3/s-m2},ACH - Air Changes per Hour,Equation A - Constant Term Coefficient {},Equation B - Temperature Term Coefficient {1/C},Equation C - Velocity Term Coefficient {s/m}, Equation D - Velocity Squared Term Coefficient {s2/m2}
+ ZoneInfiltration Airflow Stats Nominal, BUILDING10A_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10A,1693.20,58.2,1.750,1.033E-003,6.528E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGE11E12E13_INFILTRATION,INFILTRATION SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL,BUILDINGE11E12E13,4268.76,2327.6,16.174,3.789E-003,6.904E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB7_INFILTRATION,INFILTRATION SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB7,3194.37,112.9,4.401,1.378E-003,6.135E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB2_INFILTRATION,INFILTRATION SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB2,1187.19,37.3,1.636,1.378E-003,4.550E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB8_INFILTRATION,INFILTRATION SCHEDULES 100-WAREHOUSE,BUILDINGB8,2296.69,6.1,3.164,1.378E-003,5.360E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA101A102_INFILTRATION,INFILTRATION SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION,BUILDINGA101A102,2061.77,388.1,5.681,2.756E-003,7.063E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB9_INFILTRATION,INFILTRATION SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB9,3869.20,136.8,5.331,1.378E-003,6.141E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB1_INFILTRATION,INFILTRATION SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB1,1700.26,53.4,2.343,1.378E-003,5.369E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB5_INFILTRATION,INFILTRATION SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB5,2550.43,123.2,3.514,1.378E-003,6.023E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB3_INFILTRATION,INFILTRATION SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB3,4942.50,155.3,6.810,1.378E-003,6.456E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB4_INFILTRATION,INFILTRATION SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB4,1842.83,89.0,2.539,1.378E-003,5.527E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGB6_INFILTRATION,INFILTRATION SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB6,3029.39,146.4,4.174,1.378E-003,5.804E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING4_INFILTRATION,INFILTRATION SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING4,5060.30,212.6,6.972,1.378E-003,6.865E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL19_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL19,549.11,219.7,1.513,2.756E-003,4.642E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL111L112_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL111L112,1891.99,1211.3,7.820,4.133E-003,6.562E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL151L152_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL151L152,1600.03,1024.4,6.613,4.133E-003,6.285E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL131L132_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL131L132,1827.26,1169.9,7.553,4.133E-003,7.233E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL162L161_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL162L161,1587.60,1016.4,6.562,4.133E-003,6.150E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL81L82_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL81L82,2198.77,1407.7,9.088,4.133E-003,6.840E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL91L92_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL91L92,2165.33,1386.3,8.950,4.133E-003,6.801E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL141_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL141,1402.46,505.1,3.381,2.411E-003,5.629E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL7_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL7,1580.53,506.0,3.266,2.067E-003,6.260E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL12L12_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL12L12,2064.18,826.0,5.688,2.756E-003,6.226E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING333231_INFILTRATION,INFILTRATION SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING333231,1981.31,237.8,2.047,1.033E-003,4.080E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL211L212_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL211L212,1905.93,991.4,6.565,3.444E-003,6.310E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL6_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL6,924.94,370.1,2.549,2.756E-003,4.965E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL12_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL12,802.12,321.0,2.210,2.756E-003,4.888E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL52L51_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL52L51,1630.92,652.6,4.494,2.756E-003,5.926E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL171L172_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL171L172,1899.38,760.0,5.234,2.756E-003,5.845E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL181L182_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL181L182,2405.64,962.6,6.629,2.756E-003,6.055E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL4_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL4,1354.31,541.9,3.732,2.756E-003,5.810E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL202L201_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL202L201,2270.18,908.4,6.256,2.756E-003,6.243E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL2_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL2,1999.65,800.2,5.510,2.756E-003,6.287E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGL10_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGL10,841.72,336.8,2.319,2.756E-003,5.384E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV8_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGV8,1678.52,671.7,4.625,2.756E-003,4.924E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC71C72_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC71C72,1481.05,592.6,4.081,2.756E-003,5.839E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC42_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC42,2304.11,922.0,6.349,2.756E-003,6.783E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC41_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC41,1036.03,414.6,2.855,2.756E-003,5.689E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC2_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC2,978.09,391.4,2.695,2.756E-003,5.198E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV21V22_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGV21V22,2535.65,1623.4,10.481,4.133E-003,6.756E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV5_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGV5,970.52,310.7,2.006,2.067E-003,4.319E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC6_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC6,716.96,229.5,1.482,2.067E-003,4.551E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV6_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGV6,832.43,266.5,1.720,2.067E-003,4.640E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV7_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGV7,987.22,316.0,2.040,2.067E-003,4.893E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC52_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC52,2978.70,1191.9,8.208,2.756E-003,7.485E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV3_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGV3,519.57,104.0,0.716,1.378E-003,3.908E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING104_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDING104,2715.52,108.7,0.935,3.444E-004,2.502E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC12C11_INFILTRATION,INFILTRATION SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL,BUILDINGC12C11,2007.80,783.3,5.533,2.756E-003,6.459E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV41V42_INFILTRATION,INFILTRATION SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL,BUILDINGV41V42,1204.85,372.2,2.490,2.067E-003,5.536E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGC32C31C33_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGC32C31C33,3249.80,1820.5,12.313,3.789E-003,6.733E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGV11V12_INFILTRATION,INFILTRATION SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL,BUILDINGV11V12,1056.65,832.9,5.459,5.167E-003,7.450E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGE2_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGE2,2672.65,1069.4,7.365,2.756E-003,6.078E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD171D172_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD171D172,2653.72,1061.9,7.312,2.756E-003,6.338E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD13_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD13,1056.83,422.9,2.912,2.756E-003,5.039E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD181D182_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD181D182,1906.69,763.0,5.254,2.756E-003,6.332E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD6_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD6,659.14,211.0,1.362,2.067E-003,4.502E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD71_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD71,1167.25,373.7,2.412,2.067E-003,6.910E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD8_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD8,1193.29,382.0,2.466,2.067E-003,4.794E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD9_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD9,1491.78,477.5,3.083,2.067E-003,4.867E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD10_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD10,1168.05,373.9,2.414,2.067E-003,6.913E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD11A_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD11A,1264.95,404.9,2.614,2.067E-003,4.697E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD11B_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD11B,1281.81,410.3,2.649,2.067E-003,4.744E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD15_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD15,290.40,93.0,0.600,2.067E-003,4.109E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD161_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD161,847.54,271.3,1.752,2.067E-003,5.918E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD14_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD14,1115.36,357.0,2.305,2.067E-003,4.417E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING1A_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDING1A,469.31,150.2,0.970,2.067E-003,3.686E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING1C_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDING1C,1292.34,413.7,2.671,2.067E-003,4.666E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING1B_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDING1B,625.81,200.3,1.293,2.067E-003,4.245E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD21D22_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD21D22,1876.10,600.6,3.877,2.067E-003,6.098E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD20_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD20,1118.26,894.9,5.778,5.167E-003,6.281E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD21_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGD21,1502.84,1202.7,7.765,5.167E-003,6.967E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGE62E61_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGE62E61,3038.60,1215.9,8.373,2.756E-003,6.233E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGE4_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGE4,1343.88,537.7,3.703,2.756E-003,5.620E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGE5_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGE5,961.13,192.3,1.324,1.378E-003,3.907E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING0_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDING0,489.15,78.3,0.505,1.033E-003,3.164E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING2131_INFILTRATION,INFILTRATION SCHEDULES 100-WAREHOUSE,BUILDING2131,2786.21,7.4,3.839,1.378E-003,5.102E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING3934_INFILTRATION,INFILTRATION SCHEDULES 100-WAREHOUSE,BUILDING3934,5142.97,10.3,5.314,1.033E-003,6.001E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING107_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING107,6068.88,444.8,6.271,1.033E-003,6.855E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING9_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING9,5646.95,413.8,5.835,1.033E-003,7.366E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING98_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING98,1601.82,117.4,1.655,1.033E-003,5.039E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING29_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING29,9728.57,713.0,10.053,1.033E-003,6.991E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA51A52_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA51A52,1676.38,1073.3,6.929,4.133E-003,6.417E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA31_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA31,1888.74,1209.2,7.807,4.133E-003,7.661E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA32_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA32,1409.07,902.1,5.824,4.133E-003,6.157E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA41_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA41,1306.81,418.3,2.701,2.067E-003,5.874E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA7_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA7,1476.92,472.8,3.052,2.067E-003,5.769E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA6_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA6,1566.52,1253.7,8.094,5.167E-003,7.134E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA81A82_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA81A82,2448.39,1959.4,12.650,5.167E-003,7.805E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGA11A12_INFILTRATION,INFILTRATION SCHEDULES 100-RESIDENTIAL,BUILDINGA11A12,2166.66,867.0,5.970,2.756E-003,7.091E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING6+8+9_INFILTRATION,INFILTRATION SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING6+8+9,2315.43,92.7,0.798,3.444E-004,2.388E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING10B_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10B,3248.94,111.6,3.357,1.033E-003,7.431E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD12D11_INFILTRATION,INFILTRATION SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL,BUILDINGD12D11,2146.73,1525.6,10.352,4.822E-003,7.609E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING3_INFILTRATION,INFILTRATION SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING3,3774.73,158.6,5.201,1.378E-003,6.749E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING31_INFILTRATION,INFILTRATION SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING31,4086.99,140.4,4.223,1.033E-003,7.289E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD31D32_INFILTRATION,INFILTRATION SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD31D32,2860.37,2266.2,14.779,5.167E-003,6.766E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING14_INFILTRATION,INFILTRATION SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING14,3856.64,157.9,3.985,1.033E-003,5.810E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD52D51_INFILTRATION,INFILTRATION SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD52D51,2189.81,1127.7,7.543,3.444E-003,6.032E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDING10_INFILTRATION,INFILTRATION SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION,BUILDING10,944.39,38.4,0.651,6.889E-004,3.763E-004,0.310,1.000,0.000,0.000,0.000
+ ZoneInfiltration Airflow Stats Nominal, BUILDINGD191D192_INFILTRATION,INFILTRATION SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL,BUILDINGD191D192,3159.19,1226.2,8.705,2.756E-003,7.929E-004,0.310,1.000,0.000,0.000,0.000
+! <ZoneVentilation Airflow Stats Nominal>,Name,Schedule Name,Zone Name, Zone Floor Area {m2}, # Zone Occupants,Design Volume Flow Rate {m3/s},Volume Flow Rate/Floor Area {m3/s-m2},Volume Flow Rate/person Area {m3/s-person},ACH - Air Changes per Hour,Fan Type {Exhaust;Intake;Natural},Fan Pressure Rise {Pa},Fan Efficiency {},Equation A - Constant Term Coefficient {},Equation B - Temperature Term Coefficient {1/C},Equation C - Velocity Term Coefficient {s/m}, Equation D - Velocity Squared Term Coefficient {s2/m2},Minimum Indoor Temperature{C}/Schedule,Maximum Indoor Temperature{C}/Schedule,Delta Temperature{C}/Schedule,Minimum Outdoor Temperature{C}/Schedule,Maximum Outdoor Temperature{C}/Schedule,Maximum WindSpeed{m/s}
+ ZoneVentilation Airflow Stats Nominal, BUILDING10A_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10A,1693.20,58.2,3.419,2.019E-003,5.878E-002,0.606,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGE11E12E13_VENTILATION,VENTILATION SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL,BUILDINGE11E12E13,4268.76,2327.6,29.874,6.998E-003,1.283E-002,0.573,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB7_VENTILATION,VENTILATION SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB7,3194.37,112.9,7.302,2.286E-003,6.467E-002,0.514,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB2_VENTILATION,VENTILATION SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB2,1187.19,37.3,2.533,2.134E-003,6.790E-002,0.480,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB8_VENTILATION,VENTILATION SCHEDULES 100-WAREHOUSE,BUILDINGB8,2296.69,6.1,2.333,1.016E-003,0.381,0.229,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA101A102_VENTILATION,VENTILATION SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION,BUILDINGA101A102,2061.77,388.1,9.143,4.435E-003,2.356E-002,0.499,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB9_VENTILATION,VENTILATION SCHEDULES 25-COMMERCIAL_75-WAREHOUSE,BUILDINGB9,3869.20,136.8,8.845,2.286E-003,6.467E-002,0.514,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB1_VENTILATION,VENTILATION SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB1,1700.26,53.4,3.628,2.134E-003,6.790E-002,0.480,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB5_VENTILATION,VENTILATION SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB5,2550.43,123.2,2.957,1.159E-003,2.400E-002,0.261,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB3_VENTILATION,VENTILATION SCHEDULES 22-COMMERCIAL_78-WAREHOUSE,BUILDINGB3,4942.50,155.3,10.545,2.134E-003,6.790E-002,0.480,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB4_VENTILATION,VENTILATION SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB4,1842.83,89.0,2.137,1.159E-003,2.400E-002,0.261,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGB6_VENTILATION,VENTILATION SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION,BUILDINGB6,3029.39,146.4,3.513,1.159E-003,2.400E-002,0.261,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING4_VENTILATION,VENTILATION SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING4,5060.30,212.6,5.767,1.140E-003,2.713E-002,0.256,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL19_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL19,549.11,219.7,1.674,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL111L112_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL111L112,1891.99,1211.3,9.227,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL151L152_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL151L152,1600.03,1024.4,7.803,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL131L132_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL131L132,1827.26,1169.9,8.911,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL162L161_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL162L161,1587.60,1016.4,7.742,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL81L82_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL81L82,2198.77,1407.7,10.723,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL91L92_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL91L92,2165.33,1386.3,10.560,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL141_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL141,1402.46,505.1,3.847,2.743E-003,7.617E-003,0.353,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL7_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL7,1580.53,506.0,3.854,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL12L12_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL12L12,2064.18,826.0,6.292,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING333231_VENTILATION,VENTILATION SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING333231,1981.31,237.8,2.245,1.133E-003,9.439E-003,0.340,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL211L212_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL211L212,1905.93,991.4,7.552,3.962E-003,7.617E-003,0.357,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL6_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL6,924.94,370.1,2.819,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL12_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL12,802.12,321.0,2.445,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL52L51_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL52L51,1630.92,652.6,4.971,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL171L172_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL171L172,1899.38,760.0,5.789,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL181L182_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL181L182,2405.64,962.6,7.332,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL4_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL4,1354.31,541.9,4.128,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL202L201_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL202L201,2270.18,908.4,6.920,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL2_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL2,1999.65,800.2,6.095,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGL10_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGL10,841.72,336.8,2.566,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV8_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGV8,1678.52,671.7,5.116,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC71C72_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC71C72,1481.05,592.6,4.514,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC42_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC42,2304.11,922.0,7.023,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC41_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC41,1036.03,414.6,3.158,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC2_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC2,978.09,391.4,2.981,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV21V22_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGV21V22,2535.65,1623.4,12.366,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV5_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGV5,970.52,310.7,2.367,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC6_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC6,716.96,229.5,1.748,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV6_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGV6,832.43,266.5,2.030,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV7_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGV7,987.22,316.0,2.407,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC52_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC52,2978.70,1191.9,9.079,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV3_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGV3,519.57,104.0,0.792,1.524E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING104_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDING104,2715.52,108.7,0.828,3.048E-004,7.617E-003,0.274,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC12C11_VENTILATION,VENTILATION SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL,BUILDINGC12C11,2007.80,783.3,9.792,4.877E-003,1.250E-002,0.549,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV41V42_VENTILATION,VENTILATION SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL,BUILDINGV41V42,1204.85,372.2,5.406,4.487E-003,1.452E-002,0.673,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGC32C31C33_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGC32C31C33,3249.80,1820.5,13.868,4.267E-003,7.617E-003,0.349,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGV11V12_VENTILATION,VENTILATION SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL,BUILDINGV11V12,1056.65,832.9,8.760,8.291E-003,1.052E-002,0.497,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGE2_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGE2,2672.65,1069.4,8.146,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD171D172_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD171D172,2653.72,1061.9,8.089,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD13_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD13,1056.83,422.9,3.221,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD181D182_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD181D182,1906.69,763.0,5.812,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD6_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD6,659.14,211.0,1.607,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD71_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD71,1167.25,373.7,2.846,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD8_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD8,1193.29,382.0,2.910,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD9_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD9,1491.78,477.5,3.638,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD10_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD10,1168.05,373.9,2.848,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD11A_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD11A,1264.95,404.9,3.084,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD11B_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD11B,1281.81,410.3,3.126,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD15_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD15,290.40,93.0,0.708,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD161_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD161,847.54,271.3,2.067,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD14_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD14,1115.36,357.0,2.720,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING1A_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDING1A,469.31,150.2,1.144,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING1C_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDING1C,1292.34,413.7,3.151,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING1B_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDING1B,625.81,200.3,1.526,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD21D22_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD21D22,1876.10,600.6,4.575,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD20_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD20,1118.26,894.9,6.817,6.096E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD21_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGD21,1502.84,1202.7,9.161,6.096E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGE62E61_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGE62E61,3038.60,1215.9,9.262,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGE4_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGE4,1343.88,537.7,4.096,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGE5_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGE5,961.13,192.3,1.465,1.524E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING0_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDING0,489.15,78.3,0.596,1.219E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING2131_VENTILATION,VENTILATION SCHEDULES 100-WAREHOUSE,BUILDING2131,2786.21,7.4,2.831,1.016E-003,0.381,0.229,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING3934_VENTILATION,VENTILATION SCHEDULES 100-WAREHOUSE,BUILDING3934,5142.97,10.3,3.919,7.620E-004,0.381,0.229,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING107_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING107,6068.88,444.8,12.952,2.134E-003,2.912E-002,0.640,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING9_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING9,5646.95,413.8,12.051,2.134E-003,2.912E-002,0.640,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING98_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING98,1601.82,117.4,3.419,2.134E-003,2.912E-002,0.640,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING29_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING29,9728.57,713.0,20.762,2.134E-003,2.912E-002,0.640,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA51A52_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA51A52,1676.38,1073.3,8.175,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA31_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA31,1888.74,1209.2,9.211,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA32_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA32,1409.07,902.1,6.872,4.877E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA41_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA41,1306.81,418.3,3.187,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA7_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA7,1476.92,472.8,3.601,2.438E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA6_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA6,1566.52,1253.7,9.549,6.096E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA81A82_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA81A82,2448.39,1959.4,14.925,6.096E-003,7.617E-003,0.366,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGA11A12_VENTILATION,VENTILATION SCHEDULES 100-RESIDENTIAL,BUILDINGA11A12,2166.66,867.0,6.604,3.048E-003,7.617E-003,0.343,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING6+8+9_VENTILATION,VENTILATION SCHEDULES 100-OFFICE AND ADMINISTRATION,BUILDING6+8+9,2315.43,92.7,0.875,3.777E-004,9.439E-003,0.340,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING10B_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING10B,3248.94,111.6,6.561,2.019E-003,5.878E-002,0.606,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD12D11_VENTILATION,VENTILATION SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL,BUILDINGD12D11,2146.73,1525.6,15.547,7.242E-003,1.019E-002,0.466,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING3_VENTILATION,VENTILATION SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION,BUILDING3,3774.73,158.6,4.302,1.140E-003,2.713E-002,0.256,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING31_VENTILATION,VENTILATION SCHEDULES 33-COMMERCIAL_67-WAREHOUSE,BUILDING31,4086.99,140.4,8.253,2.019E-003,5.878E-002,0.606,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD31D32_VENTILATION,VENTILATION SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD31D32,2860.37,2266.2,21.622,7.559E-003,9.541E-003,0.454,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING14_VENTILATION,VENTILATION SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION,BUILDING14,3856.64,157.9,3.411,8.845E-004,2.160E-002,0.265,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD52D51_VENTILATION,VENTILATION SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL,BUILDINGD52D51,2189.81,1127.7,10.759,4.913E-003,9.541E-003,0.442,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDING10_VENTILATION,VENTILATION SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION,BUILDING10,944.39,38.4,0.597,6.317E-004,1.553E-002,0.284,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+ ZoneVentilation Airflow Stats Nominal, BUILDINGD191D192_VENTILATION,VENTILATION SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL,BUILDINGD191D192,3159.19,1226.2,16.562,5.243E-003,1.351E-002,0.590,Natural,0.000,1.0,1.000,0.000,0.000,0.000,-100.00,100.00,-100.00,-100.00,100.00,40.00
+! <AirFlow Model>, Simple
+ AirFlow Model, Simple
+! <RoomAir Model>, Zone Name, Mixing/Mundt/UCSDDV/UCSDCV/UCSDUFI/UCSDUFE/User Defined
+RoomAir Model,BUILDING10A,Mixing/Well-Stirred
+RoomAir Model,BUILDINGE11E12E13,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB7,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB2,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB8,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA101A102,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB9,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB1,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB5,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB3,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB4,Mixing/Well-Stirred
+RoomAir Model,BUILDINGB6,Mixing/Well-Stirred
+RoomAir Model,BUILDING4,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL19,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL111L112,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL151L152,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL131L132,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL162L161,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL81L82,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL91L92,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL141,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL7,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL12L12,Mixing/Well-Stirred
+RoomAir Model,BUILDING333231,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL211L212,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL6,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL12,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL52L51,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL171L172,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL181L182,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL4,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL202L201,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL2,Mixing/Well-Stirred
+RoomAir Model,BUILDINGL10,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV8,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC71C72,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC42,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC41,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC2,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV21V22,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV5,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC6,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV6,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV7,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC52,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV3,Mixing/Well-Stirred
+RoomAir Model,BUILDING104,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC12C11,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV41V42,Mixing/Well-Stirred
+RoomAir Model,BUILDINGC32C31C33,Mixing/Well-Stirred
+RoomAir Model,BUILDINGV11V12,Mixing/Well-Stirred
+RoomAir Model,BUILDINGE2,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD171D172,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD13,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD181D182,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD6,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD71,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD8,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD9,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD10,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD11A,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD11B,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD15,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD161,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD14,Mixing/Well-Stirred
+RoomAir Model,BUILDING1A,Mixing/Well-Stirred
+RoomAir Model,BUILDING1C,Mixing/Well-Stirred
+RoomAir Model,BUILDING1B,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD21D22,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD20,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD21,Mixing/Well-Stirred
+RoomAir Model,BUILDINGE62E61,Mixing/Well-Stirred
+RoomAir Model,BUILDINGE4,Mixing/Well-Stirred
+RoomAir Model,BUILDINGE5,Mixing/Well-Stirred
+RoomAir Model,BUILDING0,Mixing/Well-Stirred
+RoomAir Model,BUILDING2131,Mixing/Well-Stirred
+RoomAir Model,BUILDING3934,Mixing/Well-Stirred
+RoomAir Model,BUILDING107,Mixing/Well-Stirred
+RoomAir Model,BUILDING9,Mixing/Well-Stirred
+RoomAir Model,BUILDING98,Mixing/Well-Stirred
+RoomAir Model,BUILDING29,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA51A52,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA31,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA32,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA41,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA7,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA6,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA81A82,Mixing/Well-Stirred
+RoomAir Model,BUILDINGA11A12,Mixing/Well-Stirred
+RoomAir Model,BUILDING6+8+9,Mixing/Well-Stirred
+RoomAir Model,BUILDING10B,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD12D11,Mixing/Well-Stirred
+RoomAir Model,BUILDING3,Mixing/Well-Stirred
+RoomAir Model,BUILDING31,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD31D32,Mixing/Well-Stirred
+RoomAir Model,BUILDING14,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD52D51,Mixing/Well-Stirred
+RoomAir Model,BUILDING10,Mixing/Well-Stirred
+RoomAir Model,BUILDINGD191D192,Mixing/Well-Stirred
+! <AirflowNetwork Model:Control>, No Multizone or Distribution/Multizone with Distribution/Multizone without Distribution/Multizone with Distribution only during Fan Operation
+AirflowNetwork Model:Control,NoMultizoneOrDistribution
+! <Zone Volume Capacitance Multiplier>, Sensible Heat Capacity Multiplier, Moisture Capacity Multiplier, Carbon Dioxide Capacity Multiplier, Generic Contaminant Capacity Multiplier
+Zone Volume Capacitance Multiplier,   1.000 ,   1.000,   1.000,   1.000
+! <Environment>,Environment Name,Environment Type, Start Date, End Date, Start DayOfWeek, Duration {#days}, Source:Start DayOfWeek,  Use Daylight Saving, Use Holidays, Apply Weekend Holiday Rule,  Use Rain Values, Use Snow Values, Sky Temperature Model
+! <Environment:Special Days>, Special Day Name, Special Day Type, Source, Start Date, Duration {#days}
+! <Environment:Daylight Saving>, Daylight Saving Indicator, Source, Start Date, End Date
+! <Environment:WarmupDays>, NumberofWarmupDays
+Environment,RUN PERIOD 1,WeatherFileRunPeriod,01/01/2013,12/31/2013,Tuesday,365,Use RunPeriod Specified Day,Yes,Yes,No,Yes,Yes,Clark and Allen
+Environment:Daylight Saving,No,
+Environment:WarmupDays,  6
+! <Warmup Convergence Information>,Zone Name,Environment Type/Name,Average Warmup Temperature Difference {deltaC},Std Dev Warmup Temperature Difference {deltaC},Max Temperature Pass/Fail Convergence,Min Temperature Pass/Fail Convergence,Average Warmup Load Difference {W},Std Dev Warmup Load Difference {W},Heating Load Pass/Fail Convergence,Cooling Load Pass/Fail Convergence
+ Warmup Convergence Information,BUILDING10A,RunPeriod: RUN PERIOD 1,0.3364080861,1.0916858269,Pass,Pass,8.3366926210E-002,0.1589377905,Pass,Pass
+ Warmup Convergence Information,BUILDINGE11E12E13,RunPeriod: RUN PERIOD 1,0.1096037648,0.4085441713,Pass,Pass,0.1253483329,0.2297141943,Pass,Pass
+ Warmup Convergence Information,BUILDINGB7,RunPeriod: RUN PERIOD 1,0.3640223344,1.2158669075,Pass,Pass,6.8966504347E-002,0.1414862820,Pass,Pass
+ Warmup Convergence Information,BUILDINGB2,RunPeriod: RUN PERIOD 1,0.3865710274,1.2565885882,Pass,Pass,0.1553656119,0.4788865904,Pass,Pass
+ Warmup Convergence Information,BUILDINGB8,RunPeriod: RUN PERIOD 1,0.4133474890,1.2430352321,Pass,Pass,1.9225384061,17.0963805545,Pass,Pass
+ Warmup Convergence Information,BUILDINGA101A102,RunPeriod: RUN PERIOD 1,0.3979163201,1.2579534410,Pass,Pass,0.1085603295,0.2648695099,Pass,Pass
+ Warmup Convergence Information,BUILDINGB9,RunPeriod: RUN PERIOD 1,0.3638171342,1.2153138909,Pass,Pass,6.6085542065E-002,0.1526518772,Pass,Pass
+ Warmup Convergence Information,BUILDINGB1,RunPeriod: RUN PERIOD 1,0.3747877596,1.2401985496,Pass,Pass,9.3928940262E-002,0.1967522262,Pass,Pass
+ Warmup Convergence Information,BUILDINGB5,RunPeriod: RUN PERIOD 1,0.3981190426,1.1962208714,Pass,Pass,0.3399404153,1.6560531125,Pass,Pass
+ Warmup Convergence Information,BUILDINGB3,RunPeriod: RUN PERIOD 1,0.3608288969,1.2187325713,Pass,Pass,0.1141618918,0.2277122090,Pass,Pass
+ Warmup Convergence Information,BUILDINGB4,RunPeriod: RUN PERIOD 1,0.4042477928,1.2051213978,Pass,Pass,0.2623360412,0.7110347252,Pass,Pass
+ Warmup Convergence Information,BUILDINGB6,RunPeriod: RUN PERIOD 1,0.4007923891,1.2002562072,Pass,Pass,0.6628642909,3.4601142854,Pass,Pass
+ Warmup Convergence Information,BUILDING4,RunPeriod: RUN PERIOD 1,0.3893862893,1.1851775422,Pass,Pass,8.8613606880E-002,0.2705477398,Pass,Pass
+ Warmup Convergence Information,BUILDINGL19,RunPeriod: RUN PERIOD 1,0.1043131435,0.3850399673,Pass,Pass,0.1207545928,0.2770156477,Pass,Pass
+ Warmup Convergence Information,BUILDINGL111L112,RunPeriod: RUN PERIOD 1,9.8371838207E-002,0.3612490930,Pass,Pass,0.2528245780,1.2770444656,Pass,Pass
+ Warmup Convergence Information,BUILDINGL151L152,RunPeriod: RUN PERIOD 1,9.8562406163E-002,0.3661901952,Pass,Pass,0.2382830351,0.8426906452,Pass,Pass
+ Warmup Convergence Information,BUILDINGL131L132,RunPeriod: RUN PERIOD 1,0.1014138789,0.3508920591,Pass,Pass,0.1065726135,0.3039963781,Pass,Pass
+ Warmup Convergence Information,BUILDINGL162L161,RunPeriod: RUN PERIOD 1,9.8395469304E-002,0.3675238409,Pass,Pass,0.1661090835,0.5180419779,Pass,Pass
+ Warmup Convergence Information,BUILDINGL81L82,RunPeriod: RUN PERIOD 1,0.1015995348,0.3577208634,Pass,Pass,0.1593637955,0.3186505693,Pass,Pass
+ Warmup Convergence Information,BUILDINGL91L92,RunPeriod: RUN PERIOD 1,9.8422129532E-002,0.3584601067,Pass,Pass,0.1770144879,0.8345912118,Pass,Pass
+ Warmup Convergence Information,BUILDINGL141,RunPeriod: RUN PERIOD 1,0.1002211187,0.3637263809,Pass,Pass,0.1741904032,0.6338014795,Pass,Pass
+ Warmup Convergence Information,BUILDINGL7,RunPeriod: RUN PERIOD 1,0.1024840738,0.3457611489,Pass,Pass,9.6276973755E-002,0.2609762024,Pass,Pass
+ Warmup Convergence Information,BUILDINGL12L12,RunPeriod: RUN PERIOD 1,0.1009560912,0.3620791016,Pass,Pass,0.1849416423,0.3633988306,Pass,Pass
+ Warmup Convergence Information,BUILDING333231,RunPeriod: RUN PERIOD 1,0.3990794235,1.0995914081,Pass,Pass,0.1091690037,0.2960576280,Pass,Pass
+ Warmup Convergence Information,BUILDINGL211L212,RunPeriod: RUN PERIOD 1,9.9907831028E-002,0.3613120315,Pass,Pass,0.1315461708,0.2841936420,Pass,Pass
+ Warmup Convergence Information,BUILDINGL6,RunPeriod: RUN PERIOD 1,0.1028873209,0.3806495538,Pass,Pass,0.1232311996,0.2633698730,Pass,Pass
+ Warmup Convergence Information,BUILDINGL12,RunPeriod: RUN PERIOD 1,0.1031188684,0.3813574432,Pass,Pass,0.1117786675,0.2525139340,Pass,Pass
+ Warmup Convergence Information,BUILDINGL52L51,RunPeriod: RUN PERIOD 1,9.8641849195E-002,0.3681787936,Pass,Pass,0.3065701719,1.1989320948,Pass,Pass
+ Warmup Convergence Information,BUILDINGL171L172,RunPeriod: RUN PERIOD 1,9.8709416825E-002,0.3677567300,Pass,Pass,0.1768515202,0.6125132013,Pass,Pass
+ Warmup Convergence Information,BUILDINGL181L182,RunPeriod: RUN PERIOD 1,9.8404575041E-002,0.3666433998,Pass,Pass,0.2509629438,1.3753557222,Pass,Pass
+ Warmup Convergence Information,BUILDINGL4,RunPeriod: RUN PERIOD 1,9.8978505156E-002,0.3696171898,Pass,Pass,0.1815578372,0.5536777334,Pass,Pass
+ Warmup Convergence Information,BUILDINGL202L201,RunPeriod: RUN PERIOD 1,9.8287482510E-002,0.3635072482,Pass,Pass,0.1199943927,0.2983646374,Pass,Pass
+ Warmup Convergence Information,BUILDINGL2,RunPeriod: RUN PERIOD 1,9.8500569746E-002,0.3640431401,Pass,Pass,0.1196203993,0.3001328160,Pass,Pass
+ Warmup Convergence Information,BUILDINGL10,RunPeriod: RUN PERIOD 1,0.1047585988,0.3643720519,Pass,Pass,0.1082952576,0.2589051319,Pass,Pass
+ Warmup Convergence Information,BUILDINGV8,RunPeriod: RUN PERIOD 1,0.1035962285,0.3825696270,Pass,Pass,0.1365510777,0.2720573384,Pass,Pass
+ Warmup Convergence Information,BUILDINGC71C72,RunPeriod: RUN PERIOD 1,0.1018139246,0.3640315222,Pass,Pass,0.1622513151,0.5044433228,Pass,Pass
+ Warmup Convergence Information,BUILDINGC42,RunPeriod: RUN PERIOD 1,9.7553618402E-002,0.3576237278,Pass,Pass,0.1034917606,0.2740840731,Pass,Pass
+ Warmup Convergence Information,BUILDINGC41,RunPeriod: RUN PERIOD 1,9.8977952655E-002,0.3693268046,Pass,Pass,0.1470628544,0.4002469390,Pass,Pass
+ Warmup Convergence Information,BUILDINGC2,RunPeriod: RUN PERIOD 1,0.1008253901,0.3750389358,Pass,Pass,0.1151125268,0.2721523197,Pass,Pass
+ Warmup Convergence Information,BUILDINGV21V22,RunPeriod: RUN PERIOD 1,0.1003830642,0.3564429698,Pass,Pass,9.7219669972E-002,0.2509842628,Pass,Pass
+ Warmup Convergence Information,BUILDINGV5,RunPeriod: RUN PERIOD 1,0.1042678585,0.3861100721,Pass,Pass,0.1235981683,0.2405471142,Pass,Pass
+ Warmup Convergence Information,BUILDINGC6,RunPeriod: RUN PERIOD 1,0.1076580559,0.3652045283,Pass,Pass,0.1126303849,0.2780358131,Pass,Pass
+ Warmup Convergence Information,BUILDINGV6,RunPeriod: RUN PERIOD 1,0.1023248546,0.3798177498,Pass,Pass,0.1194203436,0.2794234365,Pass,Pass
+ Warmup Convergence Information,BUILDINGV7,RunPeriod: RUN PERIOD 1,0.1013069465,0.3769756497,Pass,Pass,0.1938376114,0.3951153296,Pass,Pass
+ Warmup Convergence Information,BUILDINGC52,RunPeriod: RUN PERIOD 1,9.5937066272E-002,0.3368493657,Pass,Pass,0.1031690509,0.2811385279,Pass,Pass
+ Warmup Convergence Information,BUILDINGV3,RunPeriod: RUN PERIOD 1,0.1059686121,0.3899691838,Pass,Pass,0.1164752366,0.2779933665,Pass,Pass
+ Warmup Convergence Information,BUILDING104,RunPeriod: RUN PERIOD 1,0.1062272476,0.3888954910,Pass,Pass,0.1966795365,0.8298560943,Pass,Pass
+ Warmup Convergence Information,BUILDINGC12C11,RunPeriod: RUN PERIOD 1,0.1102746636,0.4098324585,Pass,Pass,0.1278158378,0.2538613642,Pass,Pass
+ Warmup Convergence Information,BUILDINGV41V42,RunPeriod: RUN PERIOD 1,0.1052821113,0.3967665205,Pass,Pass,0.1104629521,0.2321439680,Pass,Pass
+ Warmup Convergence Information,BUILDINGC32C31C33,RunPeriod: RUN PERIOD 1,0.1026950710,0.3559552884,Pass,Pass,0.1174904735,0.2740495798,Pass,Pass
+ Warmup Convergence Information,BUILDINGV11V12,RunPeriod: RUN PERIOD 1,0.1113634069,0.4077020110,Pass,Pass,0.2389785642,1.2517595736,Pass,Pass
+ Warmup Convergence Information,BUILDINGE2,RunPeriod: RUN PERIOD 1,9.8473137362E-002,0.3672762574,Pass,Pass,0.2316374659,1.0301074406,Pass,Pass
+ Warmup Convergence Information,BUILDINGD171D172,RunPeriod: RUN PERIOD 1,9.8376745148E-002,0.3645682015,Pass,Pass,0.1803983648,0.5443693395,Pass,Pass
+ Warmup Convergence Information,BUILDINGD13,RunPeriod: RUN PERIOD 1,0.1034381967,0.3818088673,Pass,Pass,0.1967956038,0.5470323215,Pass,Pass
+ Warmup Convergence Information,BUILDINGD181D182,RunPeriod: RUN PERIOD 1,0.1017480008,0.3633938390,Pass,Pass,0.1526191886,0.4526056455,Pass,Pass
+ Warmup Convergence Information,BUILDINGD6,RunPeriod: RUN PERIOD 1,0.1027702266,0.3812983135,Pass,Pass,0.1421104450,0.3126854915,Pass,Pass
+ Warmup Convergence Information,BUILDINGD71,RunPeriod: RUN PERIOD 1,9.2987462734E-002,0.3315500120,Pass,Pass,0.1306617684,0.3444591820,Pass,Pass
+ Warmup Convergence Information,BUILDINGD8,RunPeriod: RUN PERIOD 1,0.1019738672,0.3786408880,Pass,Pass,0.1432530331,0.3030660179,Pass,Pass
+ Warmup Convergence Information,BUILDINGD9,RunPeriod: RUN PERIOD 1,0.1014962455,0.3772878000,Pass,Pass,0.1479507100,0.3374968788,Pass,Pass
+ Warmup Convergence Information,BUILDINGD10,RunPeriod: RUN PERIOD 1,9.3333699384E-002,0.3333656376,Pass,Pass,0.1078847668,0.3322039043,Pass,Pass
+ Warmup Convergence Information,BUILDINGD11A,RunPeriod: RUN PERIOD 1,0.1025802938,0.3804894104,Pass,Pass,0.1402875465,0.2648967734,Pass,Pass
+ Warmup Convergence Information,BUILDINGD11B,RunPeriod: RUN PERIOD 1,0.1023189323,0.3795917454,Pass,Pass,0.1399977498,0.2961506788,Pass,Pass
+ Warmup Convergence Information,BUILDINGD15,RunPeriod: RUN PERIOD 1,0.1052446059,0.3888118144,Pass,Pass,0.1098392373,0.2222827958,Pass,Pass
+ Warmup Convergence Information,BUILDINGD161,RunPeriod: RUN PERIOD 1,0.1165484982,0.3597923039,Pass,Pass,0.1916099896,0.5359237068,Pass,Pass
+ Warmup Convergence Information,BUILDINGD14,RunPeriod: RUN PERIOD 1,0.1038625801,0.3847753627,Pass,Pass,0.1346484282,0.2718869944,Pass,Pass
+ Warmup Convergence Information,BUILDING1A,RunPeriod: RUN PERIOD 1,0.1082991567,0.4006399321,Pass,Pass,0.1289310017,0.2672227922,Pass,Pass
+ Warmup Convergence Information,BUILDING1C,RunPeriod: RUN PERIOD 1,0.1023420980,0.3798403263,Pass,Pass,0.1212731723,0.2785763361,Pass,Pass
+ Warmup Convergence Information,BUILDING1B,RunPeriod: RUN PERIOD 1,0.1046625061,0.3874113380,Pass,Pass,0.1860329686,0.4046333352,Pass,Pass
+ Warmup Convergence Information,BUILDINGD21D22,RunPeriod: RUN PERIOD 1,9.7112158722E-002,0.3567229089,Pass,Pass,0.1159810523,0.3183608205,Pass,Pass
+ Warmup Convergence Information,BUILDINGD20,RunPeriod: RUN PERIOD 1,0.1038302047,0.3619720114,Pass,Pass,0.1709136462,0.4102779259,Pass,Pass
+ Warmup Convergence Information,BUILDINGD21,RunPeriod: RUN PERIOD 1,0.1038561482,0.3659378000,Pass,Pass,0.1356506860,0.3132118357,Pass,Pass
+ Warmup Convergence Information,BUILDINGE62E61,RunPeriod: RUN PERIOD 1,9.8474525046E-002,0.3659275930,Pass,Pass,0.1167540062,0.2316160994,Pass,Pass
+ Warmup Convergence Information,BUILDINGE4,RunPeriod: RUN PERIOD 1,0.1001699973,0.3732708938,Pass,Pass,0.1372981650,0.3477538944,Pass,Pass
+ Warmup Convergence Information,BUILDINGE5,RunPeriod: RUN PERIOD 1,0.1065305186,0.3920200340,Pass,Pass,0.1166015441,0.2924373124,Pass,Pass
+ Warmup Convergence Information,BUILDING0,RunPeriod: RUN PERIOD 1,0.1095022595,0.4047162593,Pass,Pass,0.1122217950,0.1910495668,Pass,Pass
+ Warmup Convergence Information,BUILDING2131,RunPeriod: RUN PERIOD 1,0.3749233362,1.2548482196,Pass,Pass,9.6591016029E-002,0.1722453256,Pass,Pass
+ Warmup Convergence Information,BUILDING3934,RunPeriod: RUN PERIOD 1,0.3772246899,1.1870978957,Pass,Pass,8.1174863357E-002,0.2355172499,Pass,Pass
+ Warmup Convergence Information,BUILDING107,RunPeriod: RUN PERIOD 1,0.3254318289,1.0299315617,Pass,Pass,6.2992005234E-002,0.1122917558,Pass,Pass
+ Warmup Convergence Information,BUILDING9,RunPeriod: RUN PERIOD 1,0.3208384988,1.0188725709,Pass,Pass,5.4789939396E-002,0.1149629126,Pass,Pass
+ Warmup Convergence Information,BUILDING98,RunPeriod: RUN PERIOD 1,0.3578372186,1.0796746874,Pass,Pass,0.2880614242,2.0830277487,Pass,Pass
+ Warmup Convergence Information,BUILDING29,RunPeriod: RUN PERIOD 1,0.3255532382,1.0331472599,Pass,Pass,5.9860734060E-002,0.1164699248,Pass,Pass
+ Warmup Convergence Information,BUILDINGA51A52,RunPeriod: RUN PERIOD 1,0.1039441486,0.3571775989,Pass,Pass,0.2000021616,0.9737729162,Pass,Pass
+ Warmup Convergence Information,BUILDINGA31,RunPeriod: RUN PERIOD 1,9.9595943513E-002,0.3449820833,Pass,Pass,0.1370308973,0.3329825084,Pass,Pass
+ Warmup Convergence Information,BUILDINGA32,RunPeriod: RUN PERIOD 1,0.1006765322,0.3603800153,Pass,Pass,0.1491149281,0.4987978363,Pass,Pass
+ Warmup Convergence Information,BUILDINGA41,RunPeriod: RUN PERIOD 1,9.7914380035E-002,0.3604964206,Pass,Pass,0.1128470834,0.3080008352,Pass,Pass
+ Warmup Convergence Information,BUILDINGA7,RunPeriod: RUN PERIOD 1,9.8512291114E-002,0.3590059353,Pass,Pass,0.3465136508,2.4543509127,Pass,Pass
+ Warmup Convergence Information,BUILDINGA6,RunPeriod: RUN PERIOD 1,0.1020522612,0.3560993085,Pass,Pass,0.1056397772,0.2292774292,Pass,Pass
+ Warmup Convergence Information,BUILDINGA81A82,RunPeriod: RUN PERIOD 1,0.1024378083,0.3476109933,Pass,Pass,9.2074615129E-002,0.2651539934,Pass,Pass
+ Warmup Convergence Information,BUILDINGA11A12,RunPeriod: RUN PERIOD 1,9.7118819996E-002,0.3528673790,Pass,Pass,9.5864746191E-002,0.2580798258,Pass,Pass
+ Warmup Convergence Information,BUILDING6+8+9,RunPeriod: RUN PERIOD 1,0.3229196438,0.8419475495,Pass,Pass,1.0369005058,8.1319784844,Pass,Pass
+ Warmup Convergence Information,BUILDING10B,RunPeriod: RUN PERIOD 1,0.3279887055,1.0732474308,Pass,Pass,4.0206777077E-002,8.9695162345E-002,Pass,Pass
+ Warmup Convergence Information,BUILDINGD12D11,RunPeriod: RUN PERIOD 1,0.1129164580,0.4120739057,Pass,Pass,0.1241756658,0.2878007981,Pass,Pass
+ Warmup Convergence Information,BUILDING3,RunPeriod: RUN PERIOD 1,0.3668068527,1.1904766773,Pass,Pass,0.2061703361,1.1245511419,Pass,Pass
+ Warmup Convergence Information,BUILDING31,RunPeriod: RUN PERIOD 1,0.3299083465,1.0795483381,Pass,Pass,4.9688175401E-002,0.1000649894,Pass,Pass
+ Warmup Convergence Information,BUILDINGD31D32,RunPeriod: RUN PERIOD 1,0.1099023906,0.4033520656,Pass,Pass,0.1313396019,0.3095053640,Pass,Pass
+ Warmup Convergence Information,BUILDING14,RunPeriod: RUN PERIOD 1,0.3861997456,1.1442176579,Pass,Pass,0.1674900774,0.8938134521,Pass,Pass
+ Warmup Convergence Information,BUILDINGD52D51,RunPeriod: RUN PERIOD 1,0.1110189765,0.4066644344,Pass,Pass,0.1302862205,0.3110991485,Pass,Pass
+ Warmup Convergence Information,BUILDING10,RunPeriod: RUN PERIOD 1,0.3453657284,1.0792957327,Pass,Pass,0.6218226080,4.5222193138,Pass,Pass
+ Warmup Convergence Information,BUILDINGD191D192,RunPeriod: RUN PERIOD 1,0.1100462481,0.4087855611,Pass,Pass,0.1430520224,0.2591871950,Pass,Pass
+! <Program Control Information:Threads/Parallel Sims>, Threading Supported,Maximum Number of Threads, Env Set Threads (OMP_NUM_THREADS), EP Env Set Threads (EP_OMP_NUM_THREADS), IDF Set Threads, Number of Threads Used (Interior Radiant Exchange), Number Nominal Surfaces, Number Parallel Sims
+Program Control:Threads/Parallel Sims, No,1, N/A, N/A, N/A, N/A, N/A, N/A
+End of Data

out_files/energy_plus_outputs/Cote-Saint-Luc_out.end

@@ -0,0 +1 @@
+EnergyPlus Completed Successfully-- 160 Warning; 0 Severe Errors; Elapsed Time=00hr 02min 21.30sec

out_files/energy_plus_outputs/Cote-Saint-Luc_out.err

@@ -0,0 +1,431 @@
+Program Version,EnergyPlus, Version 23.2.0-7636e6b3e9, YMD=2024.10.17 15:57,
+   ** Warning ** GetHTSurfaceData: Surfaces with interface to Ground found but no "Ground Temperatures" were input.
+   **   ~~~   ** Found first in surface=BUILDING_BUILDING10A_SURFACE_0
+   **   ~~~   ** Defaults, constant throughout the year of (18.0) will be used.
+   ** Warning ** CheckUsedConstructions: There are 2 nominally unused constructions in input.
+   **   ~~~   ** For explicit details on each unused construction, use Output:Diagnostics,DisplayExtraWarnings;
+   ** Warning ** GetInternalHeatGains: People="BUILDING10A_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_67-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.140.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGE11E12E13_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 16-COMMERCIAL_84-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB7_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 25-COMMERCIAL_75-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.138.2
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB2_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 22-COMMERCIAL_78-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.136.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB8_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.0.0
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA101A102_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 15-COMMERCIAL_46-WAREHOUSE_39-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.144.4
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB9_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 25-COMMERCIAL_75-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.138.2
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB1_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 22-COMMERCIAL_78-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.136.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB5_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.140.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB3_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 22-COMMERCIAL_78-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.136.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB4_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.140.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGB6_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 71-WAREHOUSE_29-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.140.8
+   ** Warning ** GetInternalHeatGains: People="BUILDING4_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.139.6
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL19_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL111L112_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL151L152_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL131L132_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL162L161_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL81L82_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL91L92_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL141_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL7_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL12L12_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING333231_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL211L212_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL6_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL12_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL52L51_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL171L172_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL181L182_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL4_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL202L201_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL2_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGL10_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV8_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC71C72_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC42_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC41_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC2_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV21V22_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV5_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC6_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV6_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV7_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC52_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV3_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING104_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC12C11_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 15-COMMERCIAL_85-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV41V42_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 21-COMMERCIAL_79-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGC32C31C33_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGV11V12_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 9-COMMERCIAL_91-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGE2_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD171D172_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD13_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD181D182_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD6_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD71_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD8_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD9_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD10_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD11A_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD11B_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD15_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD161_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD14_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING1A_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING1C_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING1B_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD21D22_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD20_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD21_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGE62E61_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGE4_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGE5_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING0_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING2131_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.0.0
+   ** Warning ** GetInternalHeatGains: People="BUILDING3934_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.0.0
+   ** Warning ** GetInternalHeatGains: People="BUILDING107_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.145.2
+   ** Warning ** GetInternalHeatGains: People="BUILDING9_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.145.2
+   ** Warning ** GetInternalHeatGains: People="BUILDING98_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.145.2
+   ** Warning ** GetInternalHeatGains: People="BUILDING29_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_33-WAREHOUSE_33-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.145.2
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA51A52_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA31_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA32_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA41_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA7_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA6_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA81A82_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDINGA11A12_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING6+8+9_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 100-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING10B_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_67-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.140.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD12D11_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 8-COMMERCIAL_92-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING3_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 75-WAREHOUSE_25-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.139.6
+   ** Warning ** GetInternalHeatGains: People="BUILDING31_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 33-COMMERCIAL_67-WAREHOUSE".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.140.8
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD31D32_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING14_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 67-WAREHOUSE_33-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.141.7
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD52D51_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 6-COMMERCIAL_94-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** GetInternalHeatGains: People="BUILDING10_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 50-WAREHOUSE_50-OFFICE AND ADMINISTRATION".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.144.1
+   ** Warning ** GetInternalHeatGains: People="BUILDINGD191D192_OCCUPANCY", Activity Level Schedule Name values
+   **   ~~~   ** fall outside typical range [70,1000] W/person for Thermal Comfort Reporting.
+   **   ~~~   ** Odd comfort values may result; Schedule="ACTIVITY LEVEL SCHEDULES 18-COMMERCIAL_82-RESIDENTIAL".
+   **   ~~~   ** Entered min/max range=[0.0,] W/person.146.5
+   ** Warning ** DetermineShadowingCombinations: There are 56 surfaces which are receiving surfaces and are non-convex.
+   **   ~~~   ** ...Shadowing values may be inaccurate. Check .shd report file for more surface shading details
+   **   ~~~   ** ...Add Output:Diagnostics,DisplayExtraWarnings; to see individual warnings for each surface.
+   ** Warning ** Output:Meter: invalid Key Name="DISTRICTHEATING:FACILITY" - not found.
+   ************* Testing Individual Branch Integrity
+   ************* All Branches passed integrity testing
+   ************* Testing Individual Supply Air Path Integrity
+   ************* All Supply Air Paths passed integrity testing
+   ************* Testing Individual Return Air Path Integrity
+   ************* All Return Air Paths passed integrity testing
+   ************* No node connection errors were found.
+   ************* Beginning Simulation
+   ** Warning ** Output:Table:SummaryReports Field[6]="Standard62.1Summary", Report is not enabled.
+   **   ~~~   ** Do Zone Sizing or Do System Sizing must be enabled in SimulationControl.
+   ** Warning ** DeterminePolygonOverlap: Too many figures [>15000]  detected in an overlap calculation. Use Output:Diagnostics,DisplayExtraWarnings; for more details.
+   ************* Simulation Error Summary *************
+   ************* There are 1 unused objects in input.
+   ************* Use Output:Diagnostics,DisplayUnusedObjects; to see them.
+   *************
+   ************* ===== Final Error Summary =====
+   ************* The following error categories occurred.  Consider correcting or noting.
+   ************* Nominally Unused Constructions
+   ************* ..The nominally unused constructions warning is provided to alert you to potential conditions that can cause
+   ************* ..extra time during simulation. Each construction is calculated by the algorithm indicated in the HeatBalanceAlgorithm
+   ************* ..object. You may remove the constructions indicated (when you use the DisplayExtraWarnings option).
+   *************
+   ************* EnergyPlus Warmup Error Summary. During Warmup: 0 Warning; 0 Severe Errors.
+   ************* EnergyPlus Sizing Error Summary. During Sizing: 0 Warning; 0 Severe Errors.
+   ************* EnergyPlus Completed Successfully-- 160 Warning; 0 Severe Errors; Elapsed Time=00hr 02min 21.30sec

out_files/energy_plus_outputs/Cote-Saint-Luc_out.rvaudit

@@ -0,0 +1,16 @@
+ ReadVarsESO
+ processing:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_21f119.rvi
+ input file:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_out.eso
+ output file:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_out.csv
+ getting all vars from:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_out.eso
+  number variables requested for output=         498
+ ReadVars Run Time=00hr 00min  4.06sec
+ ReadVarsESO program completed successfully.
+ ReadVarsESO
+ processing:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_21f119.mvi
+ input file:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_out.mtr
+ output file:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_mtr.csv
+ getting all vars from:C:\Users\ab_reza\Majid\Concordia\Repositories\energy_system_modelling_workflow\out_files\energy_plus_outputs\Cote-Saint-Luc_out.mtr
+  number variables requested for output=           3
+ ReadVars Run Time=00hr 00min  0.06sec
+ ReadVarsESO program completed successfully.

scripts/district_heating_network/district_heating_network_creator.py

@@ -84,7 +84,7 @@ class DistrictHeatingNetworkCreator:
         building_polygon = Polygon(coordinates)
         centroid = building_polygon.centroid
         self.centroids.append(centroid)
-        self.building_names.append(str(building['id']))
+        self.building_names.append(str(building['properties']['id']))
         self.building_positions.append((centroid.x, centroid.y))
 
       # Add central plant locations as centroids

scripts/district_heating_network/geojson_corrector.py

@@ -0,0 +1,61 @@
+import json
+import random
+
+
+def right_hand_rule(polygon):
+    """
+    Ensure coordinates follow the right-hand rule for polygons.
+    The right-hand rule implies that the vertices of the exterior ring of the polygon are ordered counterclockwise.
+    """
+
+    def is_clockwise(coords):
+        total = 0
+        for i in range(len(coords)):
+            x1, y1 = coords[i]
+            x2, y2 = coords[(i + 1) % len(coords)]
+            total += (x2 - x1) * (y2 + y1)
+        return total > 0
+
+    for coords in polygon:
+        if is_clockwise(coords):
+            coords.reverse()
+
+
+def process_geojson(geojson):
+    for i, feature in enumerate(geojson['features']):
+        # Check and correct the coordinate order
+        if feature['geometry']['type'] == "MultiPolygon":
+            for polygon in feature['geometry']['coordinates']:
+                right_hand_rule(polygon)
+
+            # Change geometry type to Polygon
+            feature['geometry']['type'] = "Polygon"
+            feature['geometry']['coordinates'] = feature['geometry']['coordinates'][0]
+
+        # Remove 'id' attribute from properties
+        if 'id' in feature['properties']:
+            del feature['properties']['id']
+
+        # Add new properties
+        feature['id'] = i + 1
+        feature['properties'].update({
+            "name": str(i + 1),
+            "address": "",
+            "function": random.choice([1000, 6199]),
+            "height": round(random.uniform(13, 30), 2),
+            "year_of_construction": 2023
+        })
+
+
+# Load the GeoJSON file
+with open('../../input_files/lachine_group_mach_buildings.geojson', 'r') as file:
+    geojson = json.load(file)
+
+# Process the GeoJSON data
+process_geojson(geojson)
+
+# Save the processed GeoJSON to a new file
+with open('processed_output.geojson', 'w') as file:
+    json.dump(geojson, file, indent=4)
+
+print("GeoJSON processing complete.")

scripts/district_heating_network/geojson_graph_creator.py

@@ -0,0 +1,54 @@
+import json
+from shapely import LineString, Point
+import networkx as nx
+from pathlib import Path
+
+
+def networkx_to_geojson(graph: nx.Graph) -> Path:
+    """
+    Convert a NetworkX graph to GeoJSON format.
+
+    :param graph: A NetworkX graph.
+    :return: GeoJSON formatted dictionary.
+    """
+    features = []
+
+    for u, v, data in graph.edges(data=True):
+        line = LineString([u, v])
+        feature = {
+            "type": "Feature",
+            "geometry": {
+                "type": "LineString",
+                "coordinates": list(line.coords)
+            },
+            "properties": {
+                "weight": data.get("weight", 1.0)
+            }
+        }
+        features.append(feature)
+
+    for node, data in graph.nodes(data=True):
+        point = Point(node)
+        feature = {
+            "type": "Feature",
+            "geometry": {
+                "type": "Point",
+                "coordinates": list(point.coords)[0]
+            },
+            "properties": {
+                "type": data.get("type", "unknown"),
+                "id": data.get("id", "N/A")
+            }
+        }
+        features.append(feature)
+
+    geojson = {
+        "type": "FeatureCollection",
+        "features": features
+    }
+
+    output_geojson_file = Path('./out_files/network_graph.geojson').resolve()
+    with open(output_geojson_file, 'w') as file:
+        json.dump(geojson, file, indent=4)
+
+    return output_geojson_file

scripts/district_heating_network/road_corrector.py

@@ -0,0 +1,48 @@
+import json
+import random
+
+
+# Function to process the GeoJSON for roads
+def process_roads_geojson(geojson):
+    # Create the new structure
+    new_geojson = {
+        "type": "FeatureCollection",
+        "name": "lachine_roadfs",
+        "crs": {"type": "name", "properties": {"name": "urn:ogc:def:crs:OGC:1.3:CRS84"}},
+        "features": []
+    }
+
+    for i, feature in enumerate(geojson['features']):
+        # Convert MultiLineString to LineString if necessary
+        coordinates = feature['geometry']['coordinates']
+        if feature['geometry']['type'] == "MultiLineString":
+            coordinates = coordinates[0]
+
+        # Add the new properties
+        new_feature = {
+            "type": "Feature",
+            "geometry": {
+                "type": "LineString",
+                "coordinates": coordinates
+            },
+            "properties": {
+            }
+        }
+
+        new_geojson['features'].append(new_feature)
+
+    return new_geojson
+
+
+# Load the original GeoJSON file
+with open('../../input_files/roads.geojson', 'r') as file:
+    original_geojson = json.load(file)
+
+# Process the GeoJSON data
+processed_geojson = process_roads_geojson(original_geojson)
+
+# Save the processed GeoJSON to a new file
+with open('../../input_files/processed_roads_output.geojson', 'w') as file:
+    json.dump(processed_geojson, file, indent=4)
+
+print("GeoJSON roads processing complete.")

scripts/district_heating_network/road_processor.py

@@ -25,7 +25,7 @@ def road_processor(x, y, diff):
     ])
 
     # Define input and output file paths
-    geojson_file = Path("./input_files/roads.json").resolve()
+    geojson_file = Path("./input_files/roads.geojson").resolve()
     output_file = Path('./input_files/output_roads.geojson').resolve()
 
     # Initialize a list to store the roads in the region

scripts/district_heating_network/simultinity_factor.py

@@ -0,0 +1,86 @@
+import pandas as pd
+import numpy as np
+
+class DemandShiftProcessor:
+  def __init__(self, city):
+    self.city = city
+
+  def random_shift(self, series):
+    shift_amount = np.random.randint(0, round(0.005 * len(series)))
+    return series.shift(shift_amount).fillna(series.shift(shift_amount - len(series)))
+
+  def process_demands(self):
+    heating_dfs = []
+    cooling_dfs = []
+
+    for building in self.city.buildings:
+      heating_df = self.convert_building_to_dataframe(building, 'heating')
+      cooling_df = self.convert_building_to_dataframe(building, 'cooling')
+      heating_df.set_index('Date/Time', inplace=True)
+      cooling_df.set_index('Date/Time', inplace=True)
+      shifted_heating_demands = heating_df.apply(self.random_shift, axis=0)
+      shifted_cooling_demands = cooling_df.apply(self.random_shift, axis=0)
+      self.update_building_demands(building, shifted_heating_demands, 'heating')
+      self.update_building_demands(building, shifted_cooling_demands, 'cooling')
+      heating_dfs.append(shifted_heating_demands)
+      cooling_dfs.append(shifted_cooling_demands)
+
+    combined_heating_df = pd.concat(heating_dfs, axis=1)
+    combined_cooling_df = pd.concat(cooling_dfs, axis=1)
+    self.calculate_and_set_simultaneity_factor(combined_heating_df, 'heating')
+    self.calculate_and_set_simultaneity_factor(combined_cooling_df, 'cooling')
+
+    self.save_demands_to_csv(combined_heating_df, 'heating_demands.csv')
+    self.save_demands_to_csv(combined_cooling_df, 'cooling_demands.csv')
+
+  def convert_building_to_dataframe(self, building, demand_type):
+    if demand_type == 'heating':
+      data = {
+        "Date/Time": self.generate_date_time_index(),
+        "Heating_Demand": building.heating_demand["hour"]
+      }
+    else:  # cooling
+      data = {
+        "Date/Time": self.generate_date_time_index(),
+        "Cooling_Demand": building.cooling_demand["hour"]
+      }
+    return pd.DataFrame(data)
+
+  def generate_date_time_index(self):
+    # Generate hourly date time index for a full year in 2024
+    date_range = pd.date_range(start="2013-01-01 00:00:00", end="2013-12-31 23:00:00", freq='H')
+    return date_range.strftime('%m/%d %H:%M:%S').tolist()
+
+  def update_building_demands(self, building, shifted_demands, demand_type):
+    if demand_type == 'heating':
+      shifted_series = shifted_demands["Heating_Demand"]
+      building.heating_demand = self.calculate_new_demands(shifted_series)
+    else:  # cooling
+      shifted_series = shifted_demands["Cooling_Demand"]
+      building.cooling_demand = self.calculate_new_demands(shifted_series)
+
+  def calculate_new_demands(self, shifted_series):
+    new_demand = {
+      "hour": shifted_series.tolist(),
+      "month": self.calculate_monthly_demand(shifted_series),
+      "year": [shifted_series.sum()]
+    }
+    return new_demand
+
+  def calculate_monthly_demand(self, series):
+    series.index = pd.to_datetime(series.index, format='%m/%d %H:%M:%S')
+    monthly_demand = series.resample('M').sum()
+    return monthly_demand.tolist()
+
+  def calculate_and_set_simultaneity_factor(self, combined_df, demand_type):
+    total_demand_original = combined_df.sum(axis=1)
+    peak_total_demand_original = total_demand_original.max()
+    individual_peak_demands = combined_df.max(axis=0)
+    sum_individual_peak_demands = individual_peak_demands.sum()
+    if demand_type == 'heating':
+      self.city.simultaneity_factor_heating = peak_total_demand_original / sum_individual_peak_demands
+    else:  # cooling
+      self.city.simultaneity_factor_cooling = peak_total_demand_original / sum_individual_peak_demands
+
+  def save_demands_to_csv(self, df, filename):
+    df.to_csv(filename)

summer_school.py

@@ -0,0 +1,749 @@
+from pathlib import Path
+# from scripts.ep_workflow import energy_plus_workflow
+from hub.helpers.monthly_values import MonthlyValues
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+import hub.helpers.constants as cte
+from hub.imports.energy_systems_factory import EnergySystemsFactory
+from hub.helpers.peak_loads import PeakLoads
+from pathlib import Path
+import subprocess
+from hub.imports.results_factory import ResultFactory
+from hub.imports.energy_systems_factory import EnergySystemsFactory
+from scripts.energy_system_sizing_and_simulation_factory import EnergySystemsSimulationFactory
+from scripts.solar_angles import CitySolarAngles
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+from scripts.pv_sizing_and_simulation import PVSizingSimulation
+import pandas as pd
+import geopandas as gpd
+import json
+
+#%% # -----------------------------------------------
+# Specify the GeoJSON file path
+#%% # -----------------------------------------------
+input_files_path = (Path(__file__).parent / 'input_files')
+output_path = (Path(__file__).parent / 'out_files').resolve()
+output_path.mkdir(parents=True, exist_ok=True)
+energy_plus_output_path = output_path / 'energy_plus_outputs'
+energy_plus_output_path.mkdir(parents=True, exist_ok=True)
+simulation_results_path = (Path(__file__).parent / 'out_files' / 'simulation_results').resolve()
+simulation_results_path.mkdir(parents=True, exist_ok=True)
+sra_output_path = output_path / 'sra_outputs'
+sra_output_path.mkdir(parents=True, exist_ok=True)
+cost_analysis_output_path = output_path / 'cost_analysis'
+cost_analysis_output_path.mkdir(parents=True, exist_ok=True)
+
+#%%-----------------------------------------------
+#"""add geojson paths and create city for Baseline"""
+#%% # -----------------------------------------------
+
+geojson_file_path_baseline = output_path / 'updated_buildings_with_all_data_baseline.geojson'
+geojson_file_path_2024 = output_path / 'updated_buildings_with_all_data_2024.geojson'
+with open(geojson_file_path_baseline , 'r') as f:
+    building_type_data = json.load(f)
+with open(geojson_file_path_2024, 'r') as f:
+    building_type_data_2024 = json.load(f)
+
+# Create city object from GeoJSON file
+city = GeometryFactory('geojson',
+                       path=geojson_file_path_baseline,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+#%%----------------------------------------------
+# Enrich city data
+#%% # ----------------------------------------------
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+# #energy plus is not going to be processed here, as demand has been obtained before
+# energy_plus_workflow(city)
+#%% # -----------------------------------------------
+#"""Enrich city with geojson file data"""
+#%% # -----------------------------------------------
+percentage_data = {
+    1646: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 2672.550473, "total_floor_area": 26725.50473},
+    1647: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 2653.626087, "total_floor_area": 26536.26087},
+    1648: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1056.787496, "total_floor_area": 10567.87496},
+    1649: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1906.620746, "total_floor_area": 19066.20746},
+    1650: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 659.1119416, "total_floor_area": 5272.895533},
+    1651: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1167.208109, "total_floor_area": 9337.664871},
+    1652: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1193.251653, "total_floor_area": 9546.013222},
+    1653: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1491.722543, "total_floor_area": 11933.78035},
+    1654: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1168.005028, "total_floor_area": 9344.040224},
+    1655: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1264.906961, "total_floor_area": 10119.25569},
+    1656: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1281.768818, "total_floor_area": 10254.15054},
+    1657: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 290.3886018, "total_floor_area": 2323.108814},
+    1658: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 847.5095193, "total_floor_area": 6780.076155},
+    1659: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1115.319153, "total_floor_area": 8922.553224},
+    1660: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 469.2918062, "total_floor_area": 3754.33445},
+    1661: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1292.298346, "total_floor_area": 10338.38677},
+    1662: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 625.7828863, "total_floor_area": 5006.263091},
+    1663: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1876.02897, "total_floor_area": 15008.23176},
+    1664: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1118.224781, "total_floor_area": 22364.49562},
+    1665: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 1502.787808, "total_floor_area": 30055.75617},
+    1666: {"type1_%": 0.891045711, "type2_%": 0.108954289, "type3_%": 0, "roof_area": 3038.486076, "total_floor_area": 30384.86076},
+    1667: {"type1_%": 0.8, "type2_%": 0.2, "type3_%": 0, "roof_area": 1343.832818, "total_floor_area": 13438.32818},
+    1668: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 961.0996956, "total_floor_area": 4805.498478},
+    1669: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 489.1282111, "total_floor_area": 1956.512845},
+    1673: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 1693.141465, "total_floor_area": 5079.424396},
+    1674: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 3248.827576, "total_floor_area": 9746.482729},
+    1675: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 4086.842191, "total_floor_area": 12260.52657},
+    1676: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 2786.114146, "total_floor_area": 11144.45658},
+    1677: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 5142.784184, "total_floor_area": 15428.35255},
+    1678: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 6068.664574, "total_floor_area": 18205.99372},
+    1679: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 5646.751407, "total_floor_area": 16940.25422},
+    1680: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 1601.765953, "total_floor_area": 4805.297859},
+    1681: {"type1_%": 0.7, "type2_%": 0.3, "type3_%": 0, "roof_area": 9728.221797, "total_floor_area": 29184.66539},
+    1687: {"type1_%": 0.606611029, "type2_%": 0.28211422, "type3_%": 0.11127475, "roof_area": 4268.608743, "total_floor_area": 59760.52241},
+    1688: {"type1_%": 0.92, "type2_%": 0.08, "type3_%": 0, "roof_area": 2146.654828, "total_floor_area": 38639.7869},
+    1689: {"type1_%": 0.96, "type2_%": 0.04, "type3_%": 0, "roof_area": 2860.270711, "total_floor_area": 57205.41421},
+    1690: {"type1_%": 0.94, "type2_%": 0.06, "type3_%": 0, "roof_area": 2189.732519, "total_floor_area": 28466.52275},
+    1691: {"type1_%": 0.75, "type2_%": 0.25, "type3_%": 0, "roof_area": 3159.077523, "total_floor_area": 31590.77523},
+}
+
+def enrich_buildings_with_geojson_data (building_type_data, city):
+      for building in city.buildings:
+          for idx, feature in enumerate(building_type_data['features']):
+              if feature['properties']['id'] == str(building.name):
+                  building.heating_demand[cte.HOUR] = [x *1000* cte.WATTS_HOUR_TO_JULES for x in building_type_data['features'][idx]['properties'].get('heating_demand_kWh', [0])]
+                  building.cooling_demand[cte.HOUR] = [x *1000* cte.WATTS_HOUR_TO_JULES for x in building_type_data['features'][idx]['properties'].get('cooling_demand_kWh', [0])]
+                  building.domestic_hot_water_heat_demand[cte.HOUR] =    [x *1000* cte.WATTS_HOUR_TO_JULES for x in building_type_data['features'][idx]['properties'].get('domestic_hot_water_heat_demand_kWh', [0])]
+                  building.appliances_electrical_demand[cte.HOUR] =   [x *1000* cte.WATTS_HOUR_TO_JULES for x in building_type_data['features'][idx]['properties'].get('appliances_electrical_demand_kWh', [0])]
+                  building.lighting_electrical_demand[cte.HOUR] =   [x *1000* cte.WATTS_HOUR_TO_JULES for x in building_type_data['features'][idx]['properties'].get('lighting_electrical_demand_kWh', [0])]
+                  building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
+                  building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
+                  building.domestic_hot_water_heat_demand[cte.MONTH] = (MonthlyValues.get_total_month(building.domestic_hot_water_heat_demand[cte.HOUR]))
+                  building.appliances_electrical_demand[cte.MONTH] = (MonthlyValues.get_total_month(building.appliances_electrical_demand[cte.HOUR]))
+                  building.lighting_electrical_demand[cte.MONTH] = (MonthlyValues.get_total_month(building.lighting_electrical_demand[cte.HOUR]))
+                  building.heating_demand[cte.YEAR] = [sum(building.heating_demand[cte.MONTH])]
+                  building.cooling_demand[cte.YEAR] = [sum(building.cooling_demand[cte.MONTH])]
+                  building.domestic_hot_water_heat_demand[cte.YEAR] = [sum(building.domestic_hot_water_heat_demand[cte.MONTH])]
+                  building.appliances_electrical_demand[cte.YEAR] = [sum(building.appliances_electrical_demand[cte.MONTH])]
+                  building.lighting_electrical_demand[cte.YEAR] = [sum(building.lighting_electrical_demand[cte.MONTH])]
+
+
+
+enrich_buildings_with_geojson_data (building_type_data, city)
+print('test')
+
+#%%-----------------------------------------------
+# """ADD energy systems"""
+#%% # -----------------------------------------------
+
+for building in city.buildings:
+  building.energy_systems_archetype_name = 'system 1 electricity'
+
+EnergySystemsFactory('montreal_custom', city).enrich()
+
+def baseline_to_dict(building):
+    return {
+        'heating_consumption_kWh': [x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in building.heating_consumption[cte.HOUR]],
+        'cooling_consumption_kWh':[x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in  building.cooling_consumption[cte.HOUR]],
+        'domestic_hot_water_consumption_kWh': [x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in building.domestic_hot_water_consumption[cte.HOUR]],
+        'appliances_consumption_kWh':[x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in  building.appliances_electrical_demand[cte.HOUR]],
+        'lighting_consumption_kWh': [x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in building.lighting_electrical_demand[cte.HOUR]]
+    }
+buildings_dic={}
+for building in city.buildings:
+    buildings_dic[building.name]=baseline_to_dict(building)
+scenario={}
+
+scenario['baseline']=buildings_dic
+print("Scenario 1: Baseline is performed successfully")
+
+
+
+del city
+del buildings_dic
+del building_type_data
+
+#%%-----------------------------------------------
+# Scenario 2
+#%% # -----------------------------------------------
+
+# Create city object from GeoJSON file
+city = GeometryFactory('geojson',
+                       path=geojson_file_path_2024,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+#%%-----------------------------------------------
+# Enrich city data
+#%% # -----------------------------------------------
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+
+enrich_buildings_with_geojson_data (building_type_data_2024, city)
+
+def to_dict(building,hourly_pv):
+    return {
+        'heating_consumption_kWh': [x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in building.heating_consumption[cte.HOUR]],
+        'cooling_consumption_kWh':[x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in  building.cooling_consumption[cte.HOUR]],
+        'domestic_hot_water_consumption_kWh': [x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in building.domestic_hot_water_consumption[cte.HOUR]],
+        'appliances_consumption_kWh':[x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in  building.appliances_electrical_demand[cte.HOUR]],
+        'lighting_consumption_kWh': [x / (cte.WATTS_HOUR_TO_JULES * 1000) for x in building.lighting_electrical_demand[cte.HOUR]],
+        'hourly_pv_kWh': [x /(cte.WATTS_HOUR_TO_JULES * 1000) for x in hourly_pv]
+    }
+buildings_dic={}
+
+
+for building in city.buildings:
+  building.energy_systems_archetype_name = 'system 1 electricity pv'
+
+EnergySystemsFactory('montreal_custom', city).enrich()
+# #%%-----------------------------------------------
+# # """SRA"""
+# #%% # -----------------------------------------------
+ExportsFactory('sra', city, output_path).export()
+sra_path = (output_path / f'{city.name}_sra.xml').resolve()
+subprocess.run(['sra', str(sra_path)])
+ResultFactory('sra', city, output_path).enrich()
+solar_angles = CitySolarAngles(city.name,
+                               city.latitude,
+                               city.longitude,
+                               tilt_angle=45,
+                               surface_azimuth_angle=180).calculate
+df = pd.DataFrame()
+df.index = ['yearly lighting (kWh)', 'yearly appliance (kWh)', 'yearly heating (kWh)', 'yearly cooling (kWh)',
+            'yearly dhw (kWh)', 'roof area (m2)', 'used area for pv (m2)', 'number of panels', 'pv production (kWh)']
+for building in city.buildings:
+  ghi = [x / cte.WATTS_HOUR_TO_JULES for x in building.roofs[0].global_irradiance[cte.HOUR]]
+  pv_sizing_simulation = PVSizingSimulation(building,
+                                            solar_angles,
+                                            tilt_angle=45,
+                                            module_height=1,
+                                            module_width=2,
+                                            ghi=ghi)
+  pv_sizing_simulation.pv_output()
+  yearly_lighting = building.lighting_electrical_demand[cte.YEAR][0] / 1000
+  yearly_appliance = building.appliances_electrical_demand[cte.YEAR][0] / 1000
+  yearly_heating = building.heating_demand[cte.YEAR][0] / (3.6e6 * 3)
+  yearly_cooling = building.cooling_demand[cte.YEAR][0] / (3.6e6 * 4.5)
+  yearly_dhw = building.domestic_hot_water_heat_demand[cte.YEAR][0] / 1000
+  roof_area = building.roofs[0].perimeter_area
+  used_roof = pv_sizing_simulation.available_space()
+  number_of_pv_panels = pv_sizing_simulation.total_number_of_panels
+  yearly_pv = building.onsite_electrical_production[cte.YEAR][0] / (3.6e6)
+  hourly_pv = building.onsite_electrical_production[cte.HOUR]
+  df[f'{building.name}'] = [yearly_lighting, yearly_appliance, yearly_heating, yearly_cooling, yearly_dhw, roof_area,
+                            used_roof, number_of_pv_panels, yearly_pv]
+  buildings_dic[building.name]=to_dict(building,hourly_pv)
+
+# %%-----------------------------------------------
+# """South facing facades"""
+# %% # -----------------------------------------------
+# Function to convert radians to degrees
+import math
+def radians_to_degrees(radians):
+    return radians * (180 / math.pi)
+# Step 1: Create the walls_id dictionary
+walls_id={}
+
+for building in city.buildings:
+    ids = {}
+    for walls in building.walls:
+        id=walls.id
+        azimuth_degree=radians_to_degrees(float(walls.azimuth))
+        if azimuth_degree>90.0 or azimuth_degree <float(-90.0):
+            ids[id]= {
+                'azimuth': azimuth_degree,
+                'global_irradiance': walls.global_irradiance[cte.HOUR],
+                'area': walls.perimeter_area
+            }
+    walls_id[building.name] = ids
+
+# Step 2: Calculate pv_on_facade for each wall
+for building_id, ids in walls_id.items():
+    for wall_id, wall_data in ids.items():
+        if 'global_irradiance' in wall_data:
+            ghi = [x / cte.WATTS_HOUR_TO_JULES/1000 for x in wall_data['global_irradiance']]
+            wall_data['pv_on_facade'] = [x * 0.6 * wall_data['area']*0.22 for x in ghi]
+
+
+
+
+walls_dic = output_path / 'walls_id.json'
+with open(walls_dic , 'w') as json_file:
+    json.dump(walls_id, json_file, indent=4)
+
+import pandas as pd
+#### EXPORT
+# Convert walls_id dictionary to a DataFrame
+# Convert walls_id dictionary to DataFrames for static and hourly data
+# def convert_walls_id_to_dfs(walls_id):
+#     static_data = {}
+#     hourly_data = {}
+#
+#     for building_id, ids in walls_id.items():
+#         for wall_id, wall_data in ids.items():
+#             # Static data
+#             static_data[f"{building_id}_{wall_id}_azimuth"] = wall_data.get('azimuth', None)
+#             static_data[f"{building_id}_{wall_id}_area"] = wall_data.get('area', None)
+#
+#             if 'pv_on_facade' in wall_data:
+#                 hourly_data[f"{building_id}_{wall_id}_pv_on_facade"] = wall_data['pv_on_facade']
+#
+#     # Create DataFrames
+#     static_df = pd.DataFrame([static_data])
+#     hourly_df = pd.DataFrame(hourly_data)
+#
+#     return static_df, hourly_df
+
+
+# output_path_walls_id_dic =output_path / 'walls_id_data.xlsx'
+#
+# static_df, hourly_df = convert_walls_id_to_dfs(walls_id)
+# with pd.ExcelWriter(output_path_walls_id_dic) as writer:
+#     static_df.to_excel(writer, sheet_name='Static Data', index=False)
+#     hourly_df.to_excel(writer, sheet_name='Hourly Data', index=False)
+
+# print(f"Data successfully exported to {output_path}")
+# # Save the DataFrame to an Excel file
+
+
+
+df.to_csv(output_path / 'pv.csv')
+
+scenario['efficient with PV']=buildings_dic
+print("Scenario 2: efficient with PV run successfully")
+
+#%%-----------------------------------------------
+# Scenario 3
+#%% # -----------------------------------------------
+
+for building in city.buildings:
+  building.energy_systems_archetype_name = 'PV+4Pipe+DHW'
+EnergySystemsFactory('montreal_future', city).enrich()
+buildings_dic = {}
+for building in city.buildings:
+  EnergySystemsSimulationFactory('archetype13', building=building, output_path=simulation_results_path).enrich()
+  buildings_dic[building.name] = to_dict(building, hourly_pv)
+scenario['efficient with PV+4Pipe+DHW']=buildings_dic
+print("Scenario 3: efficient with PV+4Pipe+DHW run successfully")
+
+def extract_HP_size(building):
+    dic={
+        # Heat Pump Rated Heating and Cooling Output
+        'hp_heat_size': building.energy_systems[1].generation_systems[1].nominal_heat_output/1000,
+        'hp_cooling_output':  building.energy_systems[1].generation_systems[1].nominal_cooling_output/1000,
+        # Boiler Rated Heat Output
+        'boiler_heat_output': building.energy_systems[1].generation_systems[0].nominal_heat_output/1000,
+        # TES characteristics
+        'tes_volume':building.energy_systems[1].generation_systems[0].energy_storage_systems[0].volume,
+        'tes_height':building.energy_systems[1].generation_systems[0].energy_storage_systems[0].height,
+        # DHW HP
+        'dhw_hp_heat_output': building.energy_systems[-1].generation_systems[0].nominal_heat_output/1000,
+        # DHW TES Characteristics
+        'dhw_tes_volume':  building.energy_systems[-1].generation_systems[0].energy_storage_systems[0].volume,
+        'dhw_tes_height':  building.energy_systems[-1].generation_systems[0].energy_storage_systems[0].height,
+    }
+
+
+    return dic
+HPs={}
+for building in city.buildings:
+    HPs[building.name]=extract_HP_size(building)
+
+#%%-------------------------------------------------------
+#""""EXPORTERS"""
+#%%-------------------------------------------------------
+
+
+# Convert the dictionary to a DataFrame
+df = pd.DataFrame.from_dict(HPs, orient='index')
+
+# Save the DataFrame to an Excel file
+output_path_HPs =output_path/ 'HPs_data.xlsx'
+df.to_excel(output_path_HPs, index_label='building_id')
+
+print(f"Data successfully exported to {output_path}")
+
+import pandas as pd
+
+districts_demands={}
+def extract_and_sum_demand_data(scenario, demand_types):
+
+
+    # Conversion factor constant
+    conversion_factor = 1 / (cte.WATTS_HOUR_TO_JULES * 1000)
+
+    # Loop through each scenario
+    for scenario_key, buildings in scenario.items():
+        # Loop through each building in the scenario
+        # Initialize an empty dictionary to store the district demand sums
+        district_demand = {demand_type: [0] * 8760 for demand_type in demand_types}
+        district_demand['hourly_pv_kWh']= [0] * 8760
+        for building_id, building_data in buildings.items():
+            # Loop through each demand type and sum up the data
+            for demand_type in demand_types:
+                if demand_type in building_data:
+                    district_demand[demand_type] = [sum(x) for x in zip(district_demand[demand_type], building_data[demand_type])]
+
+                # If PV data is available and relevant
+                if scenario_key == "efficient with PV":
+                    district_demand['hourly_pv_kWh'] = [sum(x) for x in zip(district_demand['hourly_pv_kWh'], building_data['hourly_pv_kWh'])]
+            if scenario_key == 'efficient with PV+4Pipe+DHW':
+                district_demand['hourly_pv_kWh'] = districts_demands["efficient with PV"]['hourly_pv_kWh']
+            districts_demands[scenario_key]=district_demand
+
+    return districts_demands
+
+# Example usage
+# Assuming 'scenario' is a dictionary with the required structure and 'cte' is defined somewhere with WATTS_HOUR_TO_JULES constant
+demand_types = [
+    'heating_consumption_kWh',
+    'cooling_consumption_kWh',
+    'domestic_hot_water_consumption_kWh',
+    'appliances_consumption_kWh',
+    'lighting_consumption_kWh',
+    # 'hourly_pv_kWh'  # Include this only if you want to consider PV data
+]
+
+# # Call the function with your scenario data
+district_demand = extract_and_sum_demand_data(scenario, demand_types)
+#
+# """"EXPORTERS"""
+# import pandas as pd
+#
+#
+# Export the DataFrame to an Excel file
+excel_file_path = r'C:\Users\a_gabald\PycharmProjects\summer_course_2024\out_files\districts_balance.xlsx'
+# df.to_excel(excel_file_path, index=True, index_label='Building')
+
+# Create an Excel writer object
+with pd.ExcelWriter(excel_file_path, engine='xlsxwriter') as writer:
+    for scenarios,demands in district_demand.items():
+        # Convert demands to a DataFrame
+        df_demands = pd.DataFrame(demands)
+        # Convert building_id to string and check its length
+        sheet_name = str(scenarios)
+        if len(sheet_name) > 31:
+            sheet_name = sheet_name[:31]  # Truncate to 31 characters if necessary
+        # Write the DataFrame to a specific sheet named after the building_id
+        df_demands.to_excel(writer, sheet_name=sheet_name, index=False)
+
+
+print("district balance data is exported successfully")
+
+
+import pandas as pd
+
+# Assuming your scenario dictionary is already defined as follows:
+# scenario = {
+#     'baseline': { ... },
+#     'efficient with PV': { ... }
+# }
+
+
+def dict_to_df_col_wise(building_data):
+    """
+    Converts a dictionary of building data to a DataFrame.
+
+    Args:
+        building_data (dict): Dictionary containing building data where keys are building ids and values are dictionaries
+                              with hourly data for various demand types.
+
+    Returns:
+        pd.DataFrame: DataFrame with columns for each building and demand type.
+    """
+    # Create a dictionary to hold DataFrames for each demand type
+    df_dict= {}
+
+    # Loop over each building
+    for building_id, data in building_data.items():
+        # Create a DataFrame for this building's data
+        building_df = pd.DataFrame(data)
+
+        # Rename columns to include building_id
+        building_df.columns = [f"{building_id}_{col}" for col in building_df.columns]
+
+        # Add this DataFrame to the dictionary
+        df_dict[building_id] = building_df
+
+    # Concatenate all building DataFrames column-wise
+    result_df = pd.concat(df_dict.values(), axis=1)
+
+    return result_df
+
+# Create DataFrames for each scenario
+baseline_df = dict_to_df_col_wise(scenario['baseline'])
+efficient_with_pv_df = dict_to_df_col_wise(scenario['efficient with PV'])
+efficient_with_pv_hps = dict_to_df_col_wise(scenario['efficient with PV+4Pipe+DHW'])
+
+
+# Write the DataFrames to an Excel file with two separate sheets
+with pd.ExcelWriter(r'C:\Users\a_gabald\PycharmProjects\summer_course_2024\out_files\scenario_data.xlsx') as writer:
+    baseline_df.to_excel(writer, sheet_name='baseline', index=True)
+    efficient_with_pv_df.to_excel(writer, sheet_name='efficient with PV', index=True)
+    efficient_with_pv_hps.to_excel(writer, sheet_name='efficient with HPs', index=True)
+
+print("hourly data has been successfully exported per building to scenario_data.xlsx")
+
+
+
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def convert_hourly_to_monthly(hourly_data):
+    """
+    Converts hourly data to monthly data by summing up the values for each month.
+
+    Args:
+        hourly_data (list): List of hourly data (length 8760).
+
+    Returns:
+        list: List of monthly data (length 12).
+    """
+    hourly_series = pd.Series(hourly_data, index=pd.date_range(start='1/1/2023', periods=8760, freq='H'))
+    monthly_data = hourly_series.resample('M').sum()
+    return monthly_data.tolist()
+
+import os
+def plot_stacked_demands_vs_pv(district_demand, demand_types, output_path, pv_type='hourly_pv_kWh'):
+    """
+    Plots the stacked monthly demand for each scenario and compares it to the PV data.
+
+    Args:
+        district_demand (dict): Dictionary with scenario keys and demand data.
+        demand_types (list): List of demand types to plot.
+        output_path (str): Path to save the plots.
+        pv_type (str): The PV data type to compare against.
+    """
+    os.makedirs(output_path, exist_ok=True)
+
+    for scenario_key, demand_data in district_demand.items():
+        # Convert hourly data to monthly data for each demand type
+        monthly_data = {demand_type: convert_hourly_to_monthly(demand_data[demand_type]) for demand_type in
+                        demand_types}
+        monthly_pv = convert_hourly_to_monthly(demand_data.get(pv_type, [0] * 8760))
+
+        # Create a DataFrame for easier plotting
+        combined_data = pd.DataFrame(monthly_data)
+        combined_data['Month'] = range(1, 13)
+        combined_data['PV'] = monthly_pv
+
+        # Plotting
+        fig, ax1 = plt.subplots(figsize=(14, 8))
+
+        # Plot stacked demands
+        combined_data.set_index('Month', inplace=True)
+        combined_data[demand_types].plot(kind='bar', stacked=True, ax=ax1, colormap='tab20')
+
+        ax1.set_xlabel('Month')
+        ax1.set_ylabel('Energy Demand (kWh)')
+        ax1.set_title(f'Monthly Energy Demand and PV Generation for {scenario_key}')
+
+        # Plot PV data on the secondary y-axis
+        ax2 = ax1.twinx()
+        ax2.plot(combined_data.index, combined_data['PV'], color='black', linestyle='-', marker='o',
+                 label='PV Generation')
+        ax2.set_ylabel('PV Generation (kWh)')
+
+        # Add legends
+        ax1.legend(loc='upper left')
+        ax2.legend(loc='upper right')
+
+        ax1.set_xticks(combined_data.index)
+        ax1.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])
+
+        # Save the plot
+        plt.savefig(os.path.join(output_path, f'{scenario_key}_monthly_demand_vs_pv.png'))
+        plt.close()
+
+
+# Example usage
+# district_demand = extract_and_sum_demand_data(scenario, demand_types)
+
+# Specify the demand types and PV type
+demand_types = [
+    'heating_consumption_kWh',
+    'cooling_consumption_kWh',
+    'domestic_hot_water_consumption_kWh',
+    'appliances_consumption_kWh',
+    'lighting_consumption_kWh'
+]
+
+# Plot the data
+plot_stacked_demands_vs_pv(district_demand, demand_types, output_path)
+# Plot the data
+print('test')
+import csv
+clusters=pd.read_csv(output_path/'clusters.csv')
+
+
+# Step 2: Extract the demand data for each building
+def extract_building_demand(city):
+    building_demand = {}
+    for building in city.buildings:
+        demands = {
+            'heating_demand': [x / 1000 * cte.WATTS_HOUR_TO_JULES for x in building.heating_demand[cte.HOUR]],
+            'cooling_demand': [x / 1000 * cte.WATTS_HOUR_TO_JULES for x in building.cooling_demand[cte.HOUR]],
+            'domestic_hot_water_demand': [x / 1000 * cte.WATTS_HOUR_TO_JULES for x in building.domestic_hot_water_heat_demand[cte.HOUR]],
+            'appliances_electrical_demand': [x / 1000 * cte.WATTS_HOUR_TO_JULES for x in building.appliances_electrical_demand[cte.HOUR]],
+            'lighting_electrical_demand': [x / 1000 * cte.WATTS_HOUR_TO_JULES for x in building.lighting_electrical_demand[cte.HOUR]]
+        }
+        building_demand[building.name] = demands
+    return building_demand
+
+# Step 3: Sum the demand types for each cluster
+def sum_demands_by_cluster(building_demand, clusters, demand_types):
+    cluster_demands = {cluster: {demand_type: [0] * 8760 for demand_type in demand_types} for cluster in clusters['cluster'].unique()}
+
+    for _, row in clusters.iterrows():
+        building_id = str(row['id'])
+        cluster = row['cluster']
+        if building_id in building_demand:
+            for demand_type in demand_types:
+                cluster_demands[cluster][demand_type] = [sum(x) for x in zip(cluster_demands[cluster][demand_type], building_demand[building_id][demand_type])]
+
+    return cluster_demands
+
+
+def plot_demands_by_cluster(cluster_demands, demand_types, output_folder):
+    import os
+    os.makedirs(output_folder, exist_ok=True)
+
+    for cluster, demands in cluster_demands.items():
+        plt.figure(figsize=(15, 10))
+        for demand_type in demand_types:
+            plt.plot(demands[demand_type], label=demand_type)
+
+        plt.title(f'Summed Demands for Cluster {cluster}')
+        plt.xlabel('Hour of the Year')
+        plt.ylabel('Demand (kWh)')
+        plt.legend(loc='upper right')
+        plt.grid(True)
+        plt.tight_layout()
+        plt.savefig(os.path.join(output_folder, f'cluster_{cluster}_summed_demands.png'))
+        plt.close()
+
+
+# Example usage
+demand_types = [
+    'heating_demand',
+    'cooling_demand',
+    'domestic_hot_water_demand',
+    'appliances_electrical_demand',
+    'lighting_electrical_demand'
+]
+
+# Extract the building demand data
+building_demand = extract_building_demand(city)
+cluster_demands = sum_demands_by_cluster(building_demand, clusters, demand_types)
+# Create a DataFrame to export the results
+cluster_demands_df = {f"{cluster}_{demand_type}": data for cluster, demands in cluster_demands.items() for
+                      demand_type, data in demands.items()}
+cluster_demands_df = pd.DataFrame(cluster_demands_df)
+
+# Save the results to an Excel file
+
+cluster_demands_df.to_excel(output_path/'cluster_demands.xlsx', index=False)
+
+print(f"Clustered demand data successfully exported to {output_path}")
+
+
+
+#%%-----------------------------------------------
+# Scenario 4
+#%% # -----------------------------------------------
+
+del city
+del buildings_dic
+
+
+geojson_file_path_clusters= output_path / 'new.geojson'
+
+with open(geojson_file_path_clusters , 'r') as f:
+    building_type_data_new = json.load(f)
+
+# Create city object from GeoJSON file
+city = GeometryFactory('geojson',
+                       path=geojson_file_path_clusters,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+#%%-----------------------------------------------
+# Enrich city data
+#%% # -----------------------------------------------
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+
+buildings_clusters={
+    1651: 4,
+    1662: 0,
+    1667: 1,
+    1674: 2,
+    1688: 3
+}
+
+for building_id in buildings_clusters:
+    cluster=buildings_clusters[building_id]
+    for idx, feature in enumerate(building_type_data_new['features']):
+        if feature['properties']['id'] == str(building_id):
+            building_type_data_new['features'][idx]['properties']['heating_demand_kWh']=cluster_demands[cluster]['heating_demand']
+            building_type_data_new['features'][idx]['properties']['cooling_demand_kWh'] = cluster_demands[cluster]['cooling_demand']
+            building_type_data_new['features'][idx]['properties']['domestic_hot_water_heat_demand_kWh'] = cluster_demands[cluster]['domestic_hot_water_demand']
+            building_type_data_new['features'][idx]['properties']['appliances_electrical_demand_kWh'] = cluster_demands[cluster]['appliances_electrical_demand']
+            building_type_data_new['features'][idx]['properties']['lighting_electrical_demand_kWh'] = cluster_demands[cluster]['lighting_electrical_demand']
+
+enrich_buildings_with_geojson_data (building_type_data_new, city)
+
+
+for building in city.buildings:
+  building.energy_systems_archetype_name = 'PV+4Pipe+DHW'
+EnergySystemsFactory('montreal_future', city).enrich()
+buildings_dic = {}
+for building in city.buildings:
+  EnergySystemsSimulationFactory('archetype13', building=building, output_path=simulation_results_path).enrich()
+  buildings_dic[building.name] = to_dict(building, hourly_pv)
+scenario['efficient with PV+4Pipe+DHW']=buildings_dic
+print("Scenario 4: efficient with PV+4Pipe+DHW run successfully for Clusters")
+
+def extract_HP_size(building):
+    dic={
+        # Heat Pump Rated Heating and Cooling Output
+        'hp_heat_size': building.energy_systems[1].generation_systems[1].nominal_heat_output/1000,
+        'hp_cooling_output':  building.energy_systems[1].generation_systems[1].nominal_cooling_output/1000,
+        # Boiler Rated Heat Output
+        'boiler_heat_output': building.energy_systems[1].generation_systems[0].nominal_heat_output/1000,
+        # TES characteristics
+        'tes_volume':building.energy_systems[1].generation_systems[0].energy_storage_systems[0].volume,
+        'tes_height':building.energy_systems[1].generation_systems[0].energy_storage_systems[0].height,
+        # DHW HP
+        'dhw_hp_heat_output': building.energy_systems[-1].generation_systems[0].nominal_heat_output/1000,
+        # DHW TES Characteristics
+        'dhw_tes_volume':  building.energy_systems[-1].generation_systems[0].energy_storage_systems[0].volume,
+        'dhw_tes_height':  building.energy_systems[-1].generation_systems[0].energy_storage_systems[0].height,
+    }
+
+
+    return dic
+HPs={}
+for building in city.buildings:
+    HPs[building.name]=extract_HP_size(building)
+
+#%%-------------------------------------------------------
+#""""EXPORTERS"""
+#%%-------------------------------------------------------
+
+
+# Convert the dictionary to a DataFrame
+df = pd.DataFrame.from_dict(HPs, orient='index')
+
+# Save the DataFrame to an Excel file
+output_path_HPs =output_path/ 'HPs_data_sc4.xlsx'
+df.to_excel(output_path_HPs, index_label='building_id')
+
+print(f"Data successfully exported to {output_path}")

varin.py

@@ -0,0 +1,146 @@
+from scripts.district_heating_network.directory_manager import DirectoryManager
+import subprocess
+from building_modelling.ep_run_enrich import energy_plus_workflow
+from hub.imports.geometry_factory import GeometryFactory
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction_factory import ConstructionFactory
+from hub.imports.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from hub.imports.results_factory import ResultFactory
+from building_modelling.geojson_creator import process_geojson
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+import matplotlib.pyplot as plt
+import numpy as np
+from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator
+from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory
+import json
+
+# Manage File Path
+base_path = "./"
+dir_manager = DirectoryManager(base_path)
+
+# Input files directory
+input_files_path = dir_manager.create_directory('input_files')
+geojson_file_path = input_files_path / 'Varin.geojson'
+pipe_data_file = input_files_path / 'pipe_data.json'
+
+# Output files directory
+output_path = dir_manager.create_directory('out_files')
+
+# Subdirectories for output files
+energy_plus_output_path = dir_manager.create_directory('out_files/energy_plus_outputs')
+simulation_results_path = dir_manager.create_directory('out_files/simulation_results')
+sra_output_path = dir_manager.create_directory('out_files/sra_outputs')
+cost_analysis_output_path = dir_manager.create_directory('out_files/cost_analysis')
+# Create ciry and run energyplus workflow
+city = GeometryFactory(file_type='geojson',
+                       path=geojson_file_path,
+                       height_field='maximum_roof_height',
+                       year_of_construction_field='year_built',
+                       function_field='building_type',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+ConstructionFactory('nrcan', city).enrich()
+UsageFactory('nrcan', city).enrich()
+WeatherFactory('epw', city).enrich()
+
+# energy_plus_workflow(city, energy_plus_output_path)
+ResultFactory('energy_plus_multiple_buildings', city, energy_plus_output_path).enrich()
+
+# District Heating Network Creator
+central_plant_locations = [(-73.6641097164314, 45.433637169890005)]  # Add at least one location
+
+roads_file = "input_files/roads.json"
+
+dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file, central_plant_locations)
+
+network_graph = dhn_creator.run()
+
+
+# Pipe and pump sizing
+
+with open(pipe_data_file, 'r') as f:
+  pipe_data = json.load(f)
+
+factory = DistrictHeatingFactory(
+  city=city,
+  graph=network_graph,
+  supply_temperature=80 + 273,  # in Kelvin
+  return_temperature=60 + 273,  # in Kelvin
+  simultaneity_factor=0.9
+)
+
+factory.enrich()
+factory.sizing()
+factory.calculate_diameters_and_costs(pipe_data)
+pipe_groups, total_cost = factory.analyze_costs()
+
+# Save the pipe groups with total costs to a CSV file
+factory.save_pipe_groups_to_csv('pipe_groups.csv')
+
+import json
+import matplotlib.pyplot as plt
+import networkx as nx
+from shapely.geometry import shape, Polygon, MultiPolygon
+from shapely.validation import explain_validity
+
+# Load the GeoJSON file
+with open("input_files/Varin.geojson", "r") as file:
+    geojson_data = json.load(file)
+
+# Initialize a figure
+fig, ax = plt.subplots(figsize=(15, 10))
+# Set aspect to equal
+ax.set_aspect('equal')
+
+# Set figure and axes backgrounds to transparent
+fig.patch.set_facecolor('none')
+ax.set_facecolor('none')
+
+# Iterate over each feature in the GeoJSON
+for feature in geojson_data['features']:
+    geom = shape(feature['geometry'])
+
+    # Check if the geometry is valid
+    if not geom.is_valid:
+        print(f"Invalid geometry: {explain_validity(geom)}")
+        continue  # Skip invalid geometries
+
+    # Plot polygons
+    if isinstance(geom, Polygon):
+        x, y = geom.exterior.xy
+        ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    elif isinstance(geom, MultiPolygon):
+        for poly in geom.geoms:
+            x, y = poly.exterior.xy
+            ax.plot(x, y, color='black', linewidth=1)  # Plot only the edges
+    else:
+        print(f"Unhandled geometry type: {type(geom)}")
+        continue
+
+# Prepare and plot the network graph
+G = network_graph
+
+# Get positions from node attributes
+pos = nx.get_node_attributes(G, 'pos')
+
+# Draw nodes, using different colors based on node type
+node_types = nx.get_node_attributes(G, 'type')
+colors = {'building': 'blue', 'generation': 'green', 'junction': 'red'}
+node_colors = [colors.get(node_types.get(node, 'junction'), 'black') for node in G.nodes()]
+
+nx.draw_networkx_nodes(G, pos, ax=ax, node_size=50, node_color=node_colors)
+nx.draw_networkx_edges(G, pos, ax=ax, edge_color="red", width=1.2)
+
+# Remove axes, ticks, and background
+ax.axis("off")
+
+# Adjust plot limits to the data
+x_values = [coord[0] for coord in pos.values()]
+y_values = [coord[1] for coord in pos.values()]
+ax.set_xlim(min(x_values) - 0.001, max(x_values) + 0.001)
+ax.set_ylim(min(y_values) - 0.001, max(y_values) + 0.001)
+
+# Save the plot with transparency
+plt.savefig("network_plot.png", bbox_inches='tight', pad_inches=0, transparent=True)
+plt.show()