Incorporation of outputs of all the variables in excel, and pandas dataframe data for yearly values in the cashflow (only capital and reposition, pending operational, end of life and maintenance)
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4
main.py
4
main.py
@ -11,7 +11,7 @@ from sra_engine import SraEngine
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try:
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try:
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file_path = (Path(__file__).parent / 'input_files' / 'selected_building.geojson')
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file_path = (Path(__file__).parent / 'input_files' / 'selected_building_1780.geojson')
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climate_reference_city = 'Montreal'
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climate_reference_city = 'Montreal'
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weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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weather_format = 'epw'
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weather_format = 'epw'
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@ -26,7 +26,7 @@ try:
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print('[simulation start]')
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print('[simulation start]')
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city = GeometryFactory('geojson',
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city = GeometryFactory('geojson',
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path=file_path,
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path=file_path,
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height_field='building_height',
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height_field='heightmax',
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year_of_construction_field='ANNEE_CONS',
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year_of_construction_field='ANNEE_CONS',
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function_field='CODE_UTILI',
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function_field='CODE_UTILI',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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