2023-12-20 15:33:50 -05:00
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from geojson_creator import process_geojson
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2023-12-19 13:51:06 -05:00
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from pathlib import Path
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2023-12-20 15:33:50 -05:00
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from scripts.ep_workflow import energy_plus_workflow
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from hub.imports.geometry_factory import GeometryFactory
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from hub.helpers.dictionaries import Dictionaries
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from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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2024-01-02 18:30:39 -05:00
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from scripts.random_assignation import call_random, residential_systems_percentage, residential_new_systems_percentage
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2023-12-20 15:33:50 -05:00
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import hub.helpers.constants as cte
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2024-01-02 18:30:39 -05:00
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from hub.imports.energy_systems.energy_system_sizing import SystemSizing
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2024-01-17 13:10:39 -05:00
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from system_simulation import SystemSimulation
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from hub.helpers.monthly_values import MonthlyValues
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geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.0001)
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2023-12-20 15:33:50 -05:00
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file_path = (Path(__file__).parent.parent / 'input_files' / f'{geojson_file}')
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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='height',
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year_of_construction_field='year_of_construction',
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function_field='function',
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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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ConstructionFactory('nrcan', city).enrich()
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print('enrich constructions... done')
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UsageFactory('nrcan', city).enrich()
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print('enrich usage... done')
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WeatherFactory('epw', city).enrich()
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print('enrich weather... done')
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energy_plus_workflow(city)
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city_buildings_peak_heating_demands = {}
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for building in city.buildings:
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city_buildings_peak_heating_demands[f'{building.name}'] = building.heating_peak_load[cte.YEAR]
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2024-02-07 20:39:16 -05:00
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call_random(city.buildings, residential_systems_percentage)
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EnergySystemsFactory('montreal_custom', city).enrich()
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for building in city.buildings:
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print(building.heating_consumption[cte.YEAR])
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print(building.energy_systems_archetype_name)
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2024-01-02 18:30:39 -05:00
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call_random(city.buildings, residential_new_systems_percentage)
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2024-02-07 19:53:17 -05:00
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EnergySystemsFactory('montreal_future', city).enrich()
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2024-01-02 18:30:39 -05:00
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SystemSizing(city.buildings).hvac_sizing()
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2024-01-17 13:10:39 -05:00
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for building in city.buildings:
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2024-01-18 14:25:08 -05:00
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SystemSimulation(building).enrich()
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2023-12-20 15:33:50 -05:00
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print('test')
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