added peak loads and consumption to results of the workflow

This commit is contained in:
Pilar Monsalvete 2023-05-18 11:33:14 -04:00
parent 229112387e
commit 8ec092a1ae
4 changed files with 99 additions and 11 deletions

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@ -0,0 +1,55 @@
"""
EnergySystemsDimensioning enriches the city buildings energy systems
with the parameters related to the systems dimensioning
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2023 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import copy
import hub.helpers.constants as cte
from hub.city_model_structure.energy_systems.energy_system import EnergySystem
from hub.city_model_structure.energy_systems.generation_system import GenerationSystem
from hub.city_model_structure.energy_systems.distribution_system import DistributionSystem
from hub.city_model_structure.energy_systems.emission_system import EmissionSystem
class EnergySystemsDimensioning:
"""
EnergySystemsDimensioning class
"""
def __init__(self, city):
self._city = city
def enrich(self):
energy_systems_connection = self._city.energy_systems_connection_table
for building in self._city.buildings:
_building_energy_systems = []
energy_systems = energy_systems_connection['Energy System Type'] \
.where(energy_systems_connection['Building'] == building.name)
for energy_system in energy_systems:
_generic_building_energy_systems = self._city.generic_energy_systems[energy_system]
for _generic_building_energy_system in _generic_building_energy_systems:
_building_energy_equipment = EnergySystem()
_building_energy_equipment.demand_types = _generic_building_energy_system.demand_types
_building_distribution_system = DistributionSystem()
_building_distribution_system.generic_distribution_system = \
copy.deepcopy(_generic_building_energy_system.distribution_system)
_building_emission_system = EmissionSystem()
_building_emission_system.generic_emission_system = \
copy.deepcopy(_generic_building_energy_system.emission_system)
_building_generation_system = GenerationSystem()
_building_generation_system.generic_generation_system = \
copy.deepcopy(_generic_building_energy_system.generation_system)
if cte.HEATING in _building_energy_equipment.demand_types:
_building_generation_system.heat_power = building.heating_peak_load[cte.YEAR]['heating peak loads'][0]
if cte.COOLING in _building_energy_equipment.demand_types:
_building_generation_system.cooling_power = building.cooling_peak_load[cte.YEAR]['cooling peak loads'][0]
_building_energy_equipment.generation_system = _building_generation_system
_building_energy_equipment.distribution_system = _building_distribution_system
_building_energy_equipment.emission_system = _building_emission_system
_building_energy_systems.append(_building_energy_equipment)
building.energy_systems = _building_energy_systems

18
main.py
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@ -5,18 +5,21 @@ from hub.imports.construction_factory import ConstructionFactory
from hub.imports.usage_factory import UsageFactory
from hub.imports.weather_factory import WeatherFactory
from hub.helpers.dictionaries import Dictionaries
from hub.imports.energy_systems_factory import EnergySystemsFactory
from results import Results
from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
from sra_engine import SraEngine
from energy_systems_dimensioning import EnergySystemsDimensioning
try:
file_path = (Path(__file__).parent / 'input_files' / 'selected_building_1780.geojson')
file_path = (Path(__file__).parent / 'input_files' / 'selected_building.geojson')
climate_reference_city = 'Montreal'
weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
weather_format = 'epw'
construction_format = 'nrcan'
usage_format = 'nrcan'
energy_systems_format = 'montreal_custom'
attic_heated_case = 0
basement_heated_case = 1
@ -43,19 +46,20 @@ try:
print('exporting:')
sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
SraEngine(city, sra_file, tmp_folder, weather_file)
# Assign radiation to the city
print(' sra processed...')
for building in city.buildings:
building.attic_heated = attic_heated_case
building.basement_heated = basement_heated_case
MonthlyEnergyBalanceEngine(city, tmp_folder)
print(' insel processed...')
for building in city.buildings:
building.energy_systems_archetype_name = 'system 1 gas'
EnergySystemsFactory(energy_systems_format, city).enrich()
EnergySystemsDimensioning(city).enrich()
print(' energy systems dimensioning processed...')
results = Results(city, out_path)
results.print()
print('print results...')
print('results printed...')
print('[simulation end]')

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@ -15,7 +15,7 @@ class MonthlyEnergyBalanceEngine:
self._file_path = file_path
EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, self._file_path).export()
self._run()
ResultFactory('insel_meb', self._city, self._file_path).enrich()
ResultFactory('insel_monthly_energy_balance', self._city, self._file_path).enrich()
def _run(self):
"""

View File

@ -16,11 +16,11 @@ class Results:
if cte.MONTH in building.heating.keys():
heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
else:
heating_results = pd.DataFrame(array, columns=[f'{building.name} heating Wh'])
heating_results = pd.DataFrame(array, columns=[f'{building.name} heating demand Wh'])
if cte.MONTH in building.cooling.keys():
cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
else:
cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling Wh'])
cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling demand Wh'])
if cte.MONTH in building.lighting_electrical_demand.keys():
lighting_results = building.lighting_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
@ -36,6 +36,30 @@ class Results:
.rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
else:
dhw_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water demand Wh'])
if cte.MONTH in building.heating_consumption.keys():
heating_consumption_results = pd.DataFrame(building.heating_consumption[cte.MONTH], columns=[f'{building.name} heating consumption Wh'])
else:
heating_consumption_results = pd.DataFrame(array, columns=[f'{building.name} heating consumption Wh'])
if cte.MONTH in building.cooling_consumption.keys():
cooling_consumption_results = pd.DataFrame(building.cooling_consumption[cte.MONTH], columns=[f'{building.name} cooling consumption Wh'])
else:
cooling_consumption_results = pd.DataFrame(array, columns=[f'{building.name} cooling consumption Wh'])
if cte.MONTH in building.domestic_hot_water_consumption.keys():
dhw_consumption_results = pd.DataFrame(building.domestic_hot_water_consumption[cte.MONTH], columns=[f'{building.name} domestic hot water consumption Wh'])
else:
dhw_consumption_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water consumption Wh'])
if cte.MONTH in building.heating_peak_load.keys():
heating_peak_load_results = building.heating_peak_load[cte.MONTH]
else:
heating_peak_load_results = pd.DataFrame(array, columns=[f'{building.name} heating peak load W'])
if cte.MONTH in building.cooling_peak_load.keys():
cooling_peak_load_results = building.cooling_peak_load[cte.MONTH]
else:
cooling_peak_load_results = pd.DataFrame(array, columns=[f'{building.name} cooling peak load W'])
if print_results is None:
print_results = heating_results
else:
@ -44,7 +68,12 @@ class Results:
cooling_results,
lighting_results,
appliances_results,
dhw_results], axis='columns')
dhw_results,
heating_consumption_results,
cooling_consumption_results,
dhw_consumption_results,
heating_peak_load_results,
cooling_peak_load_results], axis='columns')
file += '\n'
file += f'name: {building.name}\n'
file += f'year of construction: {building.year_of_construction}\n'