added peak loads and consumption to results of the workflow
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energy_systems_dimensioning.py
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55
energy_systems_dimensioning.py
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"""
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EnergySystemsDimensioning enriches the city buildings energy systems
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with the parameters related to the systems dimensioning
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2023 Concordia CERC group
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Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import copy
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import hub.helpers.constants as cte
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from hub.city_model_structure.energy_systems.energy_system import EnergySystem
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from hub.city_model_structure.energy_systems.generation_system import GenerationSystem
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from hub.city_model_structure.energy_systems.distribution_system import DistributionSystem
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from hub.city_model_structure.energy_systems.emission_system import EmissionSystem
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class EnergySystemsDimensioning:
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"""
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EnergySystemsDimensioning class
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"""
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def __init__(self, city):
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self._city = city
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def enrich(self):
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energy_systems_connection = self._city.energy_systems_connection_table
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for building in self._city.buildings:
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_building_energy_systems = []
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energy_systems = energy_systems_connection['Energy System Type'] \
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.where(energy_systems_connection['Building'] == building.name)
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for energy_system in energy_systems:
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_generic_building_energy_systems = self._city.generic_energy_systems[energy_system]
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for _generic_building_energy_system in _generic_building_energy_systems:
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_building_energy_equipment = EnergySystem()
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_building_energy_equipment.demand_types = _generic_building_energy_system.demand_types
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_building_distribution_system = DistributionSystem()
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_building_distribution_system.generic_distribution_system = \
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copy.deepcopy(_generic_building_energy_system.distribution_system)
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_building_emission_system = EmissionSystem()
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_building_emission_system.generic_emission_system = \
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copy.deepcopy(_generic_building_energy_system.emission_system)
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_building_generation_system = GenerationSystem()
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_building_generation_system.generic_generation_system = \
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copy.deepcopy(_generic_building_energy_system.generation_system)
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if cte.HEATING in _building_energy_equipment.demand_types:
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_building_generation_system.heat_power = building.heating_peak_load[cte.YEAR]['heating peak loads'][0]
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if cte.COOLING in _building_energy_equipment.demand_types:
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_building_generation_system.cooling_power = building.cooling_peak_load[cte.YEAR]['cooling peak loads'][0]
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_building_energy_equipment.generation_system = _building_generation_system
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_building_energy_equipment.distribution_system = _building_distribution_system
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_building_energy_equipment.emission_system = _building_emission_system
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_building_energy_systems.append(_building_energy_equipment)
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building.energy_systems = _building_energy_systems
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18
main.py
18
main.py
@ -5,18 +5,21 @@ from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.helpers.dictionaries import Dictionaries
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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from results import Results
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from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
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from sra_engine import SraEngine
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from energy_systems_dimensioning import EnergySystemsDimensioning
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try:
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file_path = (Path(__file__).parent / 'input_files' / 'selected_building_1780.geojson')
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file_path = (Path(__file__).parent / 'input_files' / 'selected_building.geojson')
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climate_reference_city = 'Montreal'
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weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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weather_format = 'epw'
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construction_format = 'nrcan'
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usage_format = 'nrcan'
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energy_systems_format = 'montreal_custom'
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attic_heated_case = 0
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basement_heated_case = 1
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@ -43,19 +46,20 @@ try:
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print('exporting:')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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# Assign radiation to the city
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print(' sra processed...')
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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print(' insel processed...')
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for building in city.buildings:
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building.energy_systems_archetype_name = 'system 1 gas'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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EnergySystemsDimensioning(city).enrich()
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print(' energy systems dimensioning processed...')
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results = Results(city, out_path)
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results.print()
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print('print results...')
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print('results printed...')
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print('[simulation end]')
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@ -15,7 +15,7 @@ class MonthlyEnergyBalanceEngine:
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self._file_path = file_path
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EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, self._file_path).export()
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self._run()
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ResultFactory('insel_meb', self._city, self._file_path).enrich()
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ResultFactory('insel_monthly_energy_balance', self._city, self._file_path).enrich()
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def _run(self):
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"""
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35
results.py
35
results.py
@ -16,11 +16,11 @@ class Results:
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if cte.MONTH in building.heating.keys():
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heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
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else:
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heating_results = pd.DataFrame(array, columns=[f'{building.name} heating Wh'])
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heating_results = pd.DataFrame(array, columns=[f'{building.name} heating demand Wh'])
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if cte.MONTH in building.cooling.keys():
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cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
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else:
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cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling Wh'])
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cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling demand Wh'])
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if cte.MONTH in building.lighting_electrical_demand.keys():
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lighting_results = building.lighting_electrical_demand[cte.MONTH]\
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.rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
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@ -36,6 +36,30 @@ class Results:
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.rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
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else:
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dhw_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water demand Wh'])
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if cte.MONTH in building.heating_consumption.keys():
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heating_consumption_results = pd.DataFrame(building.heating_consumption[cte.MONTH], columns=[f'{building.name} heating consumption Wh'])
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else:
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heating_consumption_results = pd.DataFrame(array, columns=[f'{building.name} heating consumption Wh'])
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if cte.MONTH in building.cooling_consumption.keys():
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cooling_consumption_results = pd.DataFrame(building.cooling_consumption[cte.MONTH], columns=[f'{building.name} cooling consumption Wh'])
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else:
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cooling_consumption_results = pd.DataFrame(array, columns=[f'{building.name} cooling consumption Wh'])
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if cte.MONTH in building.domestic_hot_water_consumption.keys():
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dhw_consumption_results = pd.DataFrame(building.domestic_hot_water_consumption[cte.MONTH], columns=[f'{building.name} domestic hot water consumption Wh'])
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else:
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dhw_consumption_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water consumption Wh'])
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if cte.MONTH in building.heating_peak_load.keys():
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heating_peak_load_results = building.heating_peak_load[cte.MONTH]
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else:
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heating_peak_load_results = pd.DataFrame(array, columns=[f'{building.name} heating peak load W'])
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if cte.MONTH in building.cooling_peak_load.keys():
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cooling_peak_load_results = building.cooling_peak_load[cte.MONTH]
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else:
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cooling_peak_load_results = pd.DataFrame(array, columns=[f'{building.name} cooling peak load W'])
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if print_results is None:
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print_results = heating_results
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else:
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@ -44,7 +68,12 @@ class Results:
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cooling_results,
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lighting_results,
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appliances_results,
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dhw_results], axis='columns')
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dhw_results,
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heating_consumption_results,
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cooling_consumption_results,
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dhw_consumption_results,
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heating_peak_load_results,
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cooling_peak_load_results], axis='columns')
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file += '\n'
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file += f'name: {building.name}\n'
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file += f'year of construction: {building.year_of_construction}\n'
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