added dhw
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59aa2b9494
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@ -87,8 +87,10 @@ 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, building.lighting_electrical_demand,
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building.appliances_electrical_demand], axis='columns')
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print_results = pd.concat([print_results, cooling_results,
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building.lighting_electrical_demand,
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building.appliances_electrical_demand,
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building.domestic_hot_water_heat_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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@ -106,7 +108,31 @@ class MonthlyEnergyBalance:
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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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domestic_hot_water_demand = []
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if building.internal_zones[0].thermal_zones is None:
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domestic_hot_water_demand = [0] * 12
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else:
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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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cold_water = building.cold_water_temperature[cte.MONTH]['epw']
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for month in range(0, 12):
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total_dhw_demand = 0
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for schedule in thermal_zone.domestic_hot_water.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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print('day_type', month, day_type)
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print(_DAYS_A_MONTH[day_type][month])
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demand = thermal_zone.domestic_hot_water.peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY \
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* (thermal_zone.domestic_hot_water.service_temperature - cold_water[month])
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total_dhw_demand += total_day * _DAYS_A_MONTH[day_type][month] * demand
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print('demand', total_day, demand, cold_water[month])
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print(area)
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domestic_hot_water_demand.append(total_dhw_demand * area)
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building.domestic_hot_water_heat_demand = \
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pd.DataFrame(domestic_hot_water_demand, columns=[f'{building.name} domestic hot water demand Wh'])
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def _electrical_demand(self):
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for building in self._city.buildings:
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