CERC/monthly_energy_balance
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added dhw

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Pilar Monsalvete 2023-03-20 14:30:05 -04:00
parent 59aa2b9494
commit c327a93e37
1 changed files with 29 additions and 3 deletions
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monthly_energy_balance.py
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@ -87,8 +87,10 @@ class MonthlyEnergyBalance:
print_results = heating_results print_results = heating_results
else: else:
print_results = pd.concat([print_results, heating_results], axis='columns') print_results = pd.concat([print_results, heating_results], axis='columns')
print_results = pd.concat([print_results, cooling_results, building.lighting_electrical_demand, print_results = pd.concat([print_results, cooling_results,
building.appliances_electrical_demand], axis='columns') building.lighting_electrical_demand,
building.appliances_electrical_demand,
building.domestic_hot_water_heat_demand], axis='columns')
file += '\n' file += '\n'
file += 'name: ' + building.name + '\n' file += 'name: ' + building.name + '\n'
file += 'year of construction: ' + str(building.year_of_construction) + '\n' file += 'year of construction: ' + str(building.year_of_construction) + '\n'
@ -106,7 +108,31 @@ class MonthlyEnergyBalance:
def _dhw_demand(self): def _dhw_demand(self):
for building in self._city.buildings: for building in self._city.buildings:
domestic_hot_water_demand = 0 domestic_hot_water_demand = []
if building.internal_zones[0].thermal_zones is None:
domestic_hot_water_demand = [0] * 12
else:
thermal_zone = building.internal_zones[0].thermal_zones[0]
area = thermal_zone.total_floor_area
cold_water = building.cold_water_temperature[cte.MONTH]['epw']
for month in range(0, 12):
total_dhw_demand = 0
for schedule in thermal_zone.domestic_hot_water.schedules:
total_day = 0
for value in schedule.values:
total_day += value
for day_type in schedule.day_types:
print('day_type', month, day_type)
print(_DAYS_A_MONTH[day_type][month])
demand = thermal_zone.domestic_hot_water.peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY \
* (thermal_zone.domestic_hot_water.service_temperature - cold_water[month])
total_dhw_demand += total_day * _DAYS_A_MONTH[day_type][month] * demand
print('demand', total_day, demand, cold_water[month])
print(area)
domestic_hot_water_demand.append(total_dhw_demand * area)
building.domestic_hot_water_heat_demand = \
pd.DataFrame(domestic_hot_water_demand, columns=[f'{building.name} domestic hot water demand Wh'])
def _electrical_demand(self): def _electrical_demand(self):
for building in self._city.buildings: for building in self._city.buildings: