added retrofitting_year_of_construction for two scenarios
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@ -12,9 +12,11 @@ from datetime import date
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import hub.helpers.constants as cte
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class LifeCycleCosts:
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def __init__(self, building, archetype, number_of_years, consumer_price_index, discount_rate,
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retrofitting_scenario, heating_scop, cooling_seer, peak_electricity_demand, factor_pv,factor_peak_lights):
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retrofitting_scenario, heating_scop, cooling_seer, peak_electricity_demand,
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factor_pv, factor_peak_lights):
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self._building = building
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self._number_of_years = number_of_years
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self._consumer_price_index = consumer_price_index
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@ -38,13 +40,13 @@ class LifeCycleCosts:
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self._peak_lights = factor_peak_lights
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#todo: revise if it works
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rng = range(40)
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self._yearly_capital_costs = pd.DataFrame(index=rng , columns=['B2010_opaque_walls', 'B2020_transparent',
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self._yearly_capital_costs = pd.DataFrame(index=rng, columns=['B2010_opaque_walls', 'B2020_transparent',
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'B3010_opaque_roof','B10_superstructure',
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'D301010_photovoltaic_system','D3020_heat_generating_systems',
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'D3030_cooling_generation_systems','D3040_distribution_systems',
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'D3080_other_hvac_ahu','D5020_lighting_and_branch_wiring',
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'D_services'], dtype='float')
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self._yearly_capital_costs.replace(np.nan,0)
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self._yearly_capital_costs.replace(np.nan, 0)
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def calculate_capital_costs(self):
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building = self._building
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@ -57,7 +59,6 @@ class LifeCycleCosts:
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surface_ground = 0
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total_floor_area = self._total_floor_area
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for internal_zone in building.internal_zones:
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for thermal_zone in internal_zone.thermal_zones:
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for thermal_boundary in thermal_zone.thermal_boundaries:
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@ -153,9 +154,8 @@ class LifeCycleCosts:
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reposition_cost_total = reposition_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)
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life_cycle_cost_capital_total = capital_cost_total + reposition_cost_total
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self._yearly_capital_costs.fillna(0,inplace=True)
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return life_cycle_cost_capital_total
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return life_cycle_cost_capital_total, self._yearly_capital_costs
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def calculate_end_of_life_costs(self):
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archetype = self._archetype
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166
main.py
166
main.py
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@ -32,8 +32,8 @@ def _search_archetype(costs_catalog, building_function):
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return building_archetype
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raise KeyError('archetype not found')
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file_path = (Path(__file__).parent.parent/'costs_workflow'/'input_files'/'selected_building_2864.geojson')
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file_path2 = (Path(__file__).parent.parent/'costs_workflow'/'input_files'/'selected_building_2864_2.geojson')
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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_format = 'epw'
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@ -44,6 +44,7 @@ basement_heated_case = 1
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tmp_folder = (Path(__file__).parent.parent/'monthly_energy_balance_workflow'/'tmp')
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out_path = (Path(__file__).parent.parent / 'costs_workflow' / 'out_files')
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files = glob.glob(f'{out_path}/*')
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retrofitting_year_of_construction = 2015
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for file in files:
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if file != '.gitignore':
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@ -60,125 +61,78 @@ factor_peak_lights = 0.07
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retrofitting_scenarios = [0, 1, 2, 3]
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life_cycle_results = pd.DataFrame()
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for retrofitting_scenario in retrofitting_scenarios:
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if retrofitting_scenario == 2 or retrofitting_scenario==3:
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if retrofitting_scenario == 2 or retrofitting_scenario == 3:
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heating_scop = 3
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cooling_seer = 4.5
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else:
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heating_scop = 1
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cooling_seer = 2.8
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print('[simulation start]')
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='heightmax',
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name_field='OBJECTID_12',
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year_of_construction_field='ANNEE_CONS',
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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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print(f'city created from {file_path}')
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
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print(f'city created from {file_path}')
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WeatherFactory(weather_format, city, file_name=weather_file).enrich()
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print('enrich weather... done')
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UsageFactory(usage_format, city).enrich()
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print('enrich usage... done')
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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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if retrofitting_scenario == 0 or retrofitting_scenario == 2:
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print('[simulation start]')
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='heightmax',
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name_field='OBJECTID_12',
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year_of_construction_field='ANNEE_CONS',
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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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print(f'city created from {file_path}')
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
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print(f'city created from {file_path}')
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WeatherFactory(weather_format, city, file_name=weather_file).enrich()
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print('enrich weather... done')
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ConstructionFactory(construction_format, city).enrich()
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print('enrich constructions... done')
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UsageFactory(usage_format, city).enrich()
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print('enrich usage... done')
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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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# sra + monthly running
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print('exporting:')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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# Assign radiation to the city
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print(' sra processed...')
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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building.year_of_construction = retrofitting_year_of_construction
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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ConstructionFactory(construction_format, city).enrich()
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print('enrich constructions... done')
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for building in city.buildings:
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = _search_archetype(catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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# sra + monthly running
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print('exporting:')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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# Assign radiation to the city
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print(' sra processed...')
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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for building in city.buildings:
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = _search_archetype(catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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continue
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lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index,
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discount_rate, retrofitting_scenario, heating_scop, cooling_seer,
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peak_electricity_demand, factor_pv,factor_peak_lights)
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else:
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print('[simulation start]')
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city = GeometryFactory('geojson',
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path=file_path2,
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height_field='heightmax',
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name_field='OBJECTID_12',
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year_of_construction_field='ANNEE_CONS',
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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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print(f'city created from {file_path}')
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
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print(f'city created from {file_path}')
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WeatherFactory(weather_format, city, file_name=weather_file).enrich()
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print('enrich weather... done')
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ConstructionFactory(construction_format, city).enrich()
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print('enrich constructions... done')
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UsageFactory(usage_format, city).enrich()
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print('enrich usage... done')
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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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# sra + monthly running
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print('exporting:')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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# Assign radiation to the city
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print(' sra processed...')
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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for building in city.buildings:
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = _search_archetype(catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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continue
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lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index,
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discount_rate, retrofitting_scenario, heating_scop, cooling_seer,
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peak_electricity_demand, factor_pv,factor_peak_lights)
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total_capital_costs = lcc.calculate_capital_costs()
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end_of_life_costs = lcc.calculate_end_of_life_costs()
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total_operational_costs = lcc.calculate_total_operational_costs()
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total_maintenance_costs = lcc.calculate_total_maintenance_costs()
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life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
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life_cycle_results[f'Scenario {retrofitting_scenario}'] = [total_capital_costs, end_of_life_costs,
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total_operational_costs, total_maintenance_costs,
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life_cycle_costs]
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life_cycle_results.index = ['total_capital_costs','end_of_life_costs', 'total_operational_costs',
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'total_maintenance_costs','life_cycle_costs']
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life_cycle_results.to_excel(Path(__file__).parent/'out_files'/'Results.xlsx', index=True)
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total_capital_costs, yearly_capital_costs = lcc.calculate_capital_costs()
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end_of_life_costs = lcc.calculate_end_of_life_costs()
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total_operational_costs = lcc.calculate_total_operational_costs()
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total_maintenance_costs = lcc.calculate_total_maintenance_costs()
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life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
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life_cycle_results[f'Scenario {retrofitting_scenario}'] = [total_capital_costs, end_of_life_costs,
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total_operational_costs, total_maintenance_costs,
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life_cycle_costs]
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life_cycle_results.index = ['total_capital_costs', 'end_of_life_costs', 'total_operational_costs',
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'total_maintenance_costs', 'life_cycle_costs']
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life_cycle_results.to_excel(Path(__file__).parent/'out_files'/'Results.xlsx', index=True)
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