peak_demands/peak_loads.py

130 lines
6.0 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
_MONTH_STARTING_HOUR = [0, 744, 1416, 2160, 2880, 3624, 4344, 5088, 5832, 6552, 7296, 8016]
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:
monthly_heating_loads = []
monthly_cooling_loads = []
ambient_temperature = building.external_temperature[cte.HOUR][self._weather_format]
for month in range(0, 12):
ground_temperature = building.ground_temperature[cte.MONTH]['2'][month]
heating_ambient_temperature = 100
cooling_ambient_temperature = -100
heating_calculation_hour = -1
cooling_calculation_hour = -1
start_hour = _MONTH_STARTING_HOUR[month]
end_hour = 8760
if month < 11:
end_hour = _MONTH_STARTING_HOUR[month + 1]
for hour in range(start_hour, end_hour):
temperature = ambient_temperature[hour]
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
if heating_load < 0:
heating_load = 0
if cooling_load > 0:
cooling_load = 0
monthly_heating_loads.append(heating_load)
monthly_cooling_loads.append(cooling_load)
self._results[building.name] = {'monthly heating peak load': monthly_heating_loads,
'monthly cooling peak load': monthly_cooling_loads}
self._print_results()
def _print_results(self):
print_results = f'Building name, monthly heating peak load W,,,,,,,,,,,, monthly cooling peak load W,,,,,,,,,,,'
for building in self._city.buildings:
results = self._results[building.name]
print_results += '\n'
print_results += f'{building.name}, '
for value in results["monthly heating peak load"]:
print_results += f'{value}, '
for value in results["monthly cooling peak load"]:
print_results += f'{value}, '
file = 'city name: ' + self._city.name + '\n'
for building in self._city.buildings:
file += '\n'
file += f'name: {building.name}\n'
file += f'year of construction: {building.year_of_construction}\n'
file += f'function: {building.function}\n'
file += f'floor area: {building.floor_area}\n'
if building.average_storey_height is not None and building.eave_height is not None:
file += f'storeys: {int(building.eave_height / building.average_storey_height)}\n'
else:
file += f'storeys: n/a\n'
file += f'heated_volume: {0.85 * building.volume}\n'
file += f'volume: {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)