s_ranjbar/energy_system_modelling_workflow
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feature: add converting to csv to simultaneity factor calculations

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This commit is contained in:
Majid Rezaei 2024-06-24 18:55:20 -04:00
parent 3051986484
commit d91600afae
2 changed files with 24 additions and 18 deletions
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36
main.py
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@ -16,22 +16,22 @@ file_path = (Path(__file__).parent / 'input_files' / 'processed_output.geojson')
output_path = (Path(__file__).parent / 'out_files').resolve()
# Create city object from GeoJSON file
# city = GeometryFactory('geojson',
# path=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
#
# # Enrich city data
# ConstructionFactory('nrcan', city).enrich()
# UsageFactory('nrcan', city).enrich()
# WeatherFactory('epw', city).enrich()
#
# energy_plus_workflow(city)
#
# processor = DemandShiftProcessor(city)
# processor.process_demands()
city = GeometryFactory('geojson',
path=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
# Enrich city data
ConstructionFactory('nrcan', city).enrich()
UsageFactory('nrcan', city).enrich()
WeatherFactory('epw', city).enrich()
energy_plus_workflow(city)
processor = DemandShiftProcessor(city)
processor.process_demands()
location = [45.436749057834206, -73.66282803816682]
@ -44,5 +44,5 @@ networkx_to_geojson(network_graph)
dhn_creator.plot_network_graph()
# print("Simultaneity Factor Heating:", city.simultaneity_factor_heating)
# print("Simultaneity Factor Cooling:", city.simultaneity_factor_cooling)
print("Simultaneity Factor Heating:", city.simultaneity_factor_heating)
print("Simultaneity Factor Cooling:", city.simultaneity_factor_cooling)

6
scripts/district_heating_network/simultinity_factor.py
View File

@ -30,6 +30,9 @@ class DemandShiftProcessor:
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 = {
@ -78,3 +81,6 @@ class DemandShiftProcessor:
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)