peak_demands/peak_loads.py

104 lines
4.8 KiB
Python

"""
Peak loads calculation workflow
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
import hub.helpers.constants as cte
from loads_calculation import LoadsCalculation
class PeakLoads:
def __init__(self, city, path, weather_format, irradiance_format):
self._city = city
self._path = path
self._weather_format = weather_format
self._irradiance_format = irradiance_format
self._results = []
self._sanity_check()
self._workflow()
def _sanity_check(self):
levels_of_detail = self._city.level_of_detail
if levels_of_detail.geometry is None:
raise Exception(f'Level of detail of geometry not assigned')
if levels_of_detail.geometry < 1:
raise Exception(f'Level of detail of geometry = {levels_of_detail.geometry}. Required minimum level 1')
if levels_of_detail.construction is None:
raise Exception(f'Level of detail of construction not assigned')
if levels_of_detail.construction < 1:
raise Exception(f'Level of detail of construction = {levels_of_detail.construction}. Required minimum level 1')
if levels_of_detail.usage is None:
raise Exception(f'Level of detail of usage not assigned')
if levels_of_detail.usage < 1:
raise Exception(f'Level of detail of usage = {levels_of_detail.usage}. Required minimum level 1')
for building in self._city.buildings:
if cte.HOUR not in building.external_temperature:
raise Exception(f'Building {building.name} does not have external temperature assigned')
for surface in building.surfaces:
if surface.type != cte.GROUND:
if cte.HOUR not in surface.global_irradiance:
raise Exception(f'Building {building.name} does not have global irradiance on surfaces assigned')
def _workflow(self):
for building in self._city.buildings:
ambient_temperature = building.external_temperature[cte.HOUR][self._weather_format]
ground_temperature = building.ground_temperature[cte.YEAR]['2'][0]
heating_ambient_temperature = 100
cooling_ambient_temperature = -100
heating_calculation_hour = -1
cooling_calculation_hour = -1
for hour, temperature in enumerate(ambient_temperature):
if temperature < heating_ambient_temperature:
heating_ambient_temperature = temperature
heating_calculation_hour = hour
if temperature > cooling_ambient_temperature:
cooling_ambient_temperature = temperature
cooling_calculation_hour = hour
loads = LoadsCalculation(building)
heating_load_transmitted = loads.get_heating_transmitted_load(heating_ambient_temperature, ground_temperature)
heating_load_ventilation_sensible = loads.get_heating_ventilation_load_sensible(heating_ambient_temperature)
heating_load_ventilation_latent = 0
heating_load = heating_load_transmitted + heating_load_ventilation_sensible + heating_load_ventilation_latent
cooling_load_transmitted = loads.get_cooling_transmitted_load(cooling_ambient_temperature, ground_temperature)
cooling_load_renovation_sensible = loads.get_cooling_ventilation_load_sensible(cooling_ambient_temperature)
cooling_load_internal_gains_sensible = loads.get_internal_load_sensible()
cooling_load_radiation = loads.get_radiation_load(self._irradiance_format, cooling_calculation_hour)
cooling_load_sensible = cooling_load_transmitted + cooling_load_renovation_sensible - cooling_load_radiation \
- cooling_load_internal_gains_sensible
cooling_load_latent = 0
cooling_load = cooling_load_sensible + cooling_load_latent
self._results.append([building.name, heating_load, cooling_load])
self._print_results()
def _print_results(self):
print_results = 'Peak loads in W'
for results in self._results:
print_results += '\n'
print_results += f'{results[0]}, {results[1]}, {results[2]}\n'
file = 'city name: ' + self._city.name + '\n'
for building in self._city.buildings:
file += '\n'
file += 'name: ' + building.name + '\n'
file += 'year of construction: ' + str(building.year_of_construction) + '\n'
file += 'function: ' + building.function + '\n'
file += 'floor area: ' + str(building.internal_zones[0].area) + '\n'
file += 'storeys: ' + str(building.storeys_above_ground) + '\n'
file += 'heated_volume: ' + str(0.85 * building.volume) + '\n'
file += 'volume: ' + str(building.volume) + '\n'
full_path_results = Path(self._path / 'peak_loads.csv').resolve()
with open(full_path_results, 'w') as results_file:
results_file.write(print_results)
full_path_metadata = Path(self._path / 'metadata.csv').resolve()
with open(full_path_metadata, 'w') as metadata_file:
metadata_file.write(file)