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cd7ac9378e
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@ -22,6 +22,7 @@ class EilatCatalog(Catalog):
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"""
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Eilat catalog class
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"""
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def __init__(self, path):
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_path_archetypes = Path(path / 'eilat_archetypes.json').resolve()
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_path_constructions = (path / 'eilat_constructions.json').resolve()
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@ -121,8 +122,10 @@ class EilatCatalog(Catalog):
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construction_period = archetype['period_of_construction']
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average_storey_height = archetype['average_storey_height']
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extra_loses_due_to_thermal_bridges = archetype['extra_loses_due_thermal_bridges']
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infiltration_rate_for_ventilation_system_off = archetype['infiltration_rate_for_ventilation_system_off'] / cte.HOUR_TO_SECONDS
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infiltration_rate_for_ventilation_system_on = archetype['infiltration_rate_for_ventilation_system_on'] / cte.HOUR_TO_SECONDS
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infiltration_rate_for_ventilation_system_off = archetype[
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'infiltration_rate_for_ventilation_system_off'] / cte.HOUR_TO_SECONDS
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infiltration_rate_for_ventilation_system_on = archetype[
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'infiltration_rate_for_ventilation_system_on'] / cte.HOUR_TO_SECONDS
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archetype_constructions = []
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for archetype_construction in archetype['constructions']:
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@ -160,7 +163,9 @@ class EilatCatalog(Catalog):
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extra_loses_due_to_thermal_bridges,
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None,
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infiltration_rate_for_ventilation_system_off,
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infiltration_rate_for_ventilation_system_on))
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infiltration_rate_for_ventilation_system_on,
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0,
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0))
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return _catalog_archetypes
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def names(self, category=None):
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@ -162,7 +162,9 @@ class NrelCatalog(Catalog):
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extra_loses_due_to_thermal_bridges,
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indirect_heated_ratio,
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infiltration_rate_for_ventilation_system_off,
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infiltration_rate_for_ventilation_system_on))
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infiltration_rate_for_ventilation_system_on,
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0,
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0))
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return _catalog_archetypes
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def names(self, category=None):
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@ -61,7 +61,7 @@ class EnergyBuildingsExportsFactory:
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with open(self._weather_file, 'wb') as epw_file:
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epw_file.write(requests.get(url, allow_redirects=True).content)
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return Idf(self._city, self._path, (idf_data_path / 'Minimal.idf'), (idf_data_path / 'Energy+.idd'),
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self._weather_path, target_buildings=self._target_buildings)
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self._weather_file, target_buildings=self._target_buildings)
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@property
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def _cerc_idf(self):
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@ -24,7 +24,7 @@ class EnergyPlusMultipleBuildings:
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csv_output = list(csv.DictReader(csv_file))
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for building in self._city.buildings:
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building_name = building.name
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building_name = building.name.upper()
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buildings_energy_demands[f'Building {building_name} Heating Demand (J)'] = [
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float(
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row[f"{building_name} IDEAL LOADS AIR SYSTEM:Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)"])
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@ -36,7 +36,7 @@ class EnergyPlusMultipleBuildings:
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for row in csv_output
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]
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buildings_energy_demands[f'Building {building_name} DHW Demand (W)'] = [
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float(row[f"DHW {building.name}:Water Use Equipment Heating Rate [W](Hourly)"])
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float(row[f"DHW {building_name}:Water Use Equipment Heating Rate [W](Hourly)"])
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for row in csv_output
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]
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buildings_energy_demands[f'Building {building_name} Appliances (W)'] = [
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@ -58,14 +58,15 @@ class EnergyPlusMultipleBuildings:
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if energy_plus_output_file_path.is_file():
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building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
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for building in self._city.buildings:
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building.heating_demand[cte.HOUR] = building_energy_demands[f'Building {building.name} Heating Demand (J)']
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building.cooling_demand[cte.HOUR] = building_energy_demands[f'Building {building.name} Cooling Demand (J)']
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building_name = building.name.upper()
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building.heating_demand[cte.HOUR] = building_energy_demands[f'Building {building_name} Heating Demand (J)']
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building.cooling_demand[cte.HOUR] = building_energy_demands[f'Building {building_name} Cooling Demand (J)']
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building.domestic_hot_water_heat_demand[cte.HOUR] = \
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[x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} DHW Demand (W)']]
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[x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} DHW Demand (W)']]
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building.appliances_electrical_demand[cte.HOUR] = \
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[x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} Appliances (W)']]
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[x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} Appliances (W)']]
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building.lighting_electrical_demand[cte.HOUR] = \
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[x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} Lighting (W)']]
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[x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} Lighting (W)']]
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building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
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building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
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building.domestic_hot_water_heat_demand[cte.MONTH] = (
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