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hadisversi
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1b4fcc3d94 |
@ -98,7 +98,7 @@ class NrcanCatalog(Catalog):
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domestic_hot_water_peak_flow = (
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space_type['service_water_heating_peak_flow_per_area'] *
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cte.GALLONS_TO_QUBIC_METERS / cte.HOUR_TO_SECONDS
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)
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) #m3/(s m2)
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space_types_dictionary[usage_type] = {'occupancy_per_area': occupancy_density,
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'lighting_per_area': lighting_density,
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'electric_equipment_per_area': appliances_density,
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18
hub/data/construction/Changing names.py
Normal file
18
hub/data/construction/Changing names.py
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@ -0,0 +1,18 @@
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import json
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from pathlib import Path
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from hub.catalog_factories.catalog import Catalog
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from hub.catalog_factories.data_models.construction.content import Content
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from hub.catalog_factories.construction.construction_helper import ConstructionHelper
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from hub.catalog_factories.data_models.construction.construction import Construction
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from hub.catalog_factories.data_models.construction.archetype import Archetype
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from hub.catalog_factories.data_models.construction.window import Window
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from hub.catalog_factories.data_models.construction.material import Material
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from hub.catalog_factories.data_models.construction.layer import Layer
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import hub.helpers.constants as cte
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_path_constructions = (Path(__file__).parent / 'nrcan_constructions.json').resolve()
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with open(_path_constructions, 'r', encoding='utf-8') as file:
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_constructions = json.load(file)
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for surface in _constructions['opaque_surfaces']:
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print(surface.name)
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@ -8378,6 +8378,7 @@ CA.10.08 Abitibi-Témiscamingue Abitibi-Temiscamingue 5881941
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CA.04.1306 Albert County Albert County 5883098
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CA.03.5883398 Alexander Alexander 5883398
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CA.08.3557 Algoma Algoma 5883638
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CA.08.3558 Thunder Bay Thunder Bay
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CA.03.5884145 Alonsa Alonsa 5884145
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CA.07.1205 Annapolis County Annapolis County 5885415
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CA.07.1214 Antigonish County Antigonish County 5886183
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@ -58,7 +58,8 @@ class ConstructionHelper:
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'Boucherville': '6',
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'Mascouche': '6',
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'Saint-Leonard': '6',
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'La Prairie': '6'
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'La Prairie': '6',
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'Thunder Bay': '7B'
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}
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_reference_city_to_israel_climate_zone = {
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@ -25,7 +25,8 @@ class Weather:
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'US.NY.047': 'https://energyplus-weather.s3.amazonaws.com/north_and_central_america_wmo_region_4/USA/NY/USA_NY_New.York.City-Central.Park.94728_TMY/USA_NY_New.York.City-Central.Park.94728_TMY.epw',
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'CA.10.12': 'https://energyplus-weather.s3.amazonaws.com/north_and_central_america_wmo_region_4/CAN/PQ/CAN_PQ_Quebec.717140_CWEC/CAN_PQ_Quebec.717140_CWEC.epw',
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'IL.01.': 'https://energyplus-weather.s3.amazonaws.com/europe_wmo_region_6/ISR/ISR_Eilat.401990_MSI/ISR_Eilat.401990_MSI.epw',
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'ES.07.PM': 'https://energyplus-weather.s3.amazonaws.com/europe_wmo_region_6/ESP/ESP_Palma.083060_SWEC/ESP_Palma.083060_SWEC.epw'
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'ES.07.PM': 'https://energyplus-weather.s3.amazonaws.com/europe_wmo_region_6/ESP/ESP_Palma.083060_SWEC/ESP_Palma.083060_SWEC.epw',
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'CA.10.17': 'https: //energyplus-weather.s3.amazonaws.com/north_and_central_america_wmo_region_4/CAN/ON/CAN_ON_Thunder.Bay.717490_CWEC.epw'
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}
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# todo: this dictionary need to be completed, a data science student task?
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