added electrical demand for lighting and appliances to the workflow
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36e534452d
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@ -13,6 +13,15 @@ from helpers.monthly_values import MonthlyValues
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from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
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from insel.monthly_demand_calculation import MonthlyDemandCalculation
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_DAYS_A_MONTH = {cte.MONDAY: [5, 4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 5],
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cte.TUESDAY: [5, 4, 4, 4, 5, 4, 5, 4, 4, 5, 4, 4],
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cte.WEDNESDAY: [5, 4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4],
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cte.THURSDAY: [4, 4, 5, 4, 5, 4, 4, 5, 4, 4, 5, 4],
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cte.FRIDAY: [4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5, 4],
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cte.SATURDAY: [4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 4, 5],
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cte.SUNDAY: [4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5],
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cte.HOLIDAY: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
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class MonthlyEnergyBalance:
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def __init__(self, city, path, attic_heated_case, basement_heated_case, weather_format):
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@ -64,6 +73,9 @@ class MonthlyEnergyBalance:
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insel = MonthlyDemandCalculation(self._city, tmp_path, self._weather_format)
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insel.run()
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insel.results()
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self._dhw_demand()
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self._electrical_demand()
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self._print_results()
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def _print_results(self):
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@ -76,7 +88,8 @@ class MonthlyEnergyBalance:
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print_results = heating_results
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else:
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print_results = pd.concat([print_results, heating_results], axis='columns')
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print_results = pd.concat([print_results, cooling_results], axis='columns')
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print_results = pd.concat([print_results, cooling_results, building.lighting_electrical_demand,
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building.appliances_electrical_demand], axis='columns')
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file += '\n'
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file += 'name: ' + building.name + '\n'
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file += 'year of construction: ' + str(building.year_of_construction) + '\n'
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@ -91,3 +104,38 @@ class MonthlyEnergyBalance:
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full_path_metadata = Path(self._path / 'metadata.csv').resolve()
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with open(full_path_metadata, 'w') as metadata_file:
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metadata_file.write(file)
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def _dhw_demand(self):
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for building in self._city.buildings:
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domestic_hot_water_demand = 0
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def _electrical_demand(self):
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for building in self._city.buildings:
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lighting_demand = []
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appliances_demand = []
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thermal_zone = building.internal_zones[0].thermal_zones[0]
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area = thermal_zone.total_floor_area
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for month in range(0, 12):
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total_lighting = 0
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for schedule in thermal_zone.lighting.schedules:
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total_day = 0
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for value in schedule.values:
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total_day += value
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for day_type in schedule.day_types:
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total_lighting += total_day * _DAYS_A_MONTH[day_type][month] * thermal_zone.lighting.density
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lighting_demand.append(total_lighting * area)
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total_appliances = 0
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for schedule in thermal_zone.appliances.schedules:
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total_day = 0
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for value in schedule.values:
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total_day += value
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for day_type in schedule.day_types:
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total_appliances += total_day * _DAYS_A_MONTH[day_type][month] * thermal_zone.appliances.density
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appliances_demand.append(total_appliances * area)
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building.lighting_electrical_demand = pd.DataFrame(lighting_demand,
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columns=[f'{building.name} lighting electrical demand Wh'])
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building.appliances_electrical_demand = pd.DataFrame(appliances_demand,
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columns=[f'{building.name} appliances electrical demand Wh'])
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