211 lines
9.7 KiB
Python
211 lines
9.7 KiB
Python
"""
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ComnetUsageParameters extracts the usage properties from Comnet catalog and assigns to each building
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 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 sys
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import numpy
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import helpers.constants as cte
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from helpers.dictionaries import Dictionaries
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from city_model_structure.building_demand.usage import Usage
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from city_model_structure.building_demand.lighting import Lighting
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from city_model_structure.building_demand.occupancy import Occupancy
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from city_model_structure.building_demand.appliances import Appliances
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from city_model_structure.building_demand.thermal_control import ThermalControl
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from city_model_structure.attributes.schedule import Schedule
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from city_model_structure.building_demand.internal_gain import InternalGain
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from catalog_factories.usage_catalog_factory import UsageCatalogFactory
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class ComnetUsageParameters:
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"""
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ComnetUsageParameters class
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"""
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def __init__(self, city, base_path):
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self._city = city
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self._path = base_path
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def enrich_buildings(self):
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"""
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Returns the city with the usage parameters assigned to the buildings
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:return:
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"""
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city = self._city
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comnet_catalog = UsageCatalogFactory('comnet').catalog
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for building in city.buildings:
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usage_name = Dictionaries().hub_usage_to_comnet_usage[building.function]
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try:
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archetype_usage = self._search_archetypes(comnet_catalog, usage_name)
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except KeyError:
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sys.stderr.write(f'Building {building.name} has unknown usage archetype for building function:'
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f' {building.function}')
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return
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for internal_zone in building.internal_zones:
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if internal_zone.area is None:
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raise Exception('Internal zone area not defined, ACH cannot be calculated')
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if internal_zone.volume is None:
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raise Exception('Internal zone volume not defined, ACH cannot be calculated')
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if internal_zone.area <= 0:
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raise Exception('Internal zone area is zero, ACH cannot be calculated')
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volume_per_area = internal_zone.volume / internal_zone.area
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usage_zone = Usage()
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usage_zone.name = usage_name
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self._assign_values(usage_zone, archetype_usage, volume_per_area)
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usage_zone.percentage = 1
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self._calculate_reduced_values_from_extended_library(usage_zone, archetype_usage)
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internal_zone.usages = [usage_zone]
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@staticmethod
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def _search_archetypes(comnet_catalog, usage_name):
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comnet_archetypes = comnet_catalog.entries('archetypes').usages
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for building_archetype in comnet_archetypes:
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if str(usage_name) == str(building_archetype.name):
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return building_archetype
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raise KeyError('archetype not found')
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@staticmethod
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def _assign_values(usage_zone, archetype, volume_per_area):
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# Due to the fact that python is not a typed language, the wrong object type is assigned to
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# usage_zone.occupancy when writing usage_zone.occupancy = archetype.occupancy.
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# Same happens for lighting and appliances. Therefore, this walk around has been done.
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usage_zone.mechanical_air_change = archetype.ventilation_rate / volume_per_area \
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* cte.HOUR_TO_MINUTES * cte.MINUTES_TO_SECONDS
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_occupancy = Occupancy()
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_occupancy.occupancy_density = archetype.occupancy.occupancy_density
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_occupancy.sensible_radiative_internal_gain = archetype.occupancy.sensible_radiative_internal_gain
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_occupancy.latent_internal_gain = archetype.occupancy.latent_internal_gain
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_occupancy.sensible_convective_internal_gain = archetype.occupancy.sensible_convective_internal_gain
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_occupancy.occupancy_schedules = archetype.occupancy.schedules
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usage_zone.occupancy = _occupancy
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_lighting = Lighting()
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_lighting.density = archetype.lighting.density
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_lighting.convective_fraction = archetype.lighting.convective_fraction
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_lighting.radiative_fraction = archetype.lighting.radiative_fraction
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_lighting.latent_fraction = archetype.lighting.latent_fraction
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_lighting.schedules = archetype.lighting.schedules
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usage_zone.lighting = _lighting
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_appliances = Appliances()
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_appliances.density = archetype.appliances.density
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_appliances.convective_fraction = archetype.appliances.convective_fraction
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_appliances.radiative_fraction = archetype.appliances.radiative_fraction
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_appliances.latent_fraction = archetype.appliances.latent_fraction
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_appliances.schedules = archetype.appliances.schedules
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usage_zone.appliances = _appliances
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_control = ThermalControl()
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_control.cooling_set_point_schedules = archetype.thermal_control.cooling_set_point_schedules
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_control.heating_set_point_schedules = archetype.thermal_control.heating_set_point_schedules
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_control.hvac_availability_schedules = archetype.thermal_control.hvac_availability_schedules
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usage_zone.thermal_control = _control
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@staticmethod
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def _calculate_reduced_values_from_extended_library(usage_zone, archetype):
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number_of_days_per_type = {'WD': 251, 'Sat': 52, 'Sun': 62}
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total = 0
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for schedule in archetype.thermal_control.hvac_availability_schedules:
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if schedule.day_types[0] == cte.SATURDAY:
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for value in schedule.values:
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total += value * number_of_days_per_type['Sat']
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elif schedule.day_types[0] == cte.SUNDAY:
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for value in schedule.values:
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total += value * number_of_days_per_type['Sun']
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else:
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for value in schedule.values:
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total += value * number_of_days_per_type['WD']
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usage_zone.hours_day = total / 365
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usage_zone.days_year = 365
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max_heating_setpoint = cte.MIN_FLOAT
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min_heating_setpoint = cte.MAX_FLOAT
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for schedule in archetype.thermal_control.heating_set_point_schedules:
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if schedule.values is None:
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max_heating_setpoint = None
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min_heating_setpoint = None
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break
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if max(schedule.values) > max_heating_setpoint:
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max_heating_setpoint = max(schedule.values)
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if min(schedule.values) < min_heating_setpoint:
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min_heating_setpoint = min(schedule.values)
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min_cooling_setpoint = cte.MAX_FLOAT
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for schedule in archetype.thermal_control.cooling_set_point_schedules:
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if schedule.values is None:
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min_cooling_setpoint = None
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break
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if min(schedule.values) < min_cooling_setpoint:
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min_cooling_setpoint = min(schedule.values)
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usage_zone.thermal_control.mean_heating_set_point = max_heating_setpoint
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usage_zone.thermal_control.heating_set_back = min_heating_setpoint
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usage_zone.thermal_control.mean_cooling_set_point = min_cooling_setpoint
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@staticmethod
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def _calculate_internal_gains(archetype):
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_DAYS = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY, cte.HOLIDAY]
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_number_of_days_per_type = [51, 50, 50, 50, 50, 52, 52, 10]
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_mean_internal_gain = InternalGain()
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_mean_internal_gain.type = 'mean_value_of_internal_gains'
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_base_schedule = Schedule()
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_base_schedule.type = cte.INTERNAL_GAINS
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_base_schedule.time_range = cte.DAY
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_base_schedule.time_step = cte.HOUR
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_base_schedule.data_type = cte.FRACTION
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_latent_heat_gain = archetype.occupancy.latent_internal_gain
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_convective_heat_gain = archetype.occupancy.sensible_convective_internal_gain
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_radiative_heat_gain = archetype.occupancy.sensible_radiative_internal_gain
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_total_heat_gain = (_latent_heat_gain + _convective_heat_gain + _radiative_heat_gain)
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_schedule_values = numpy.zeros([24, 8])
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_sum = 0
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for day, _schedule in enumerate(archetype.occupancy.schedules):
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for v, value in enumerate(_schedule.values):
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_schedule_values[v, day] = value * _total_heat_gain
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_sum += value * _total_heat_gain * _number_of_days_per_type[day]
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_total_heat_gain += archetype.lighting.density + archetype.appliances.density
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_latent_heat_gain += archetype.lighting.latent_fraction * archetype.lighting.density\
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+ archetype.appliances.latent_fraction * archetype.appliances.density
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_radiative_heat_gain = archetype.lighting.radiative_fraction * archetype.lighting.density \
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+ archetype.appliances.radiative_fraction * archetype.appliances.density
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_convective_heat_gain = archetype.lighting.convective_fraction * archetype.lighting.density \
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+ archetype.appliances.convective_fraction * archetype.appliances.density
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for day, _schedule in enumerate(archetype.lighting.schedules):
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for v, value in enumerate(_schedule.values):
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_schedule_values[v, day] += value * archetype.lighting.density
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_sum += value * archetype.lighting.density * _number_of_days_per_type[day]
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for day, _schedule in enumerate(archetype.appliances.schedules):
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for v, value in enumerate(_schedule.values):
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_schedule_values[v, day] += value * archetype.appliances.density
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_sum += value * archetype.appliances.density * _number_of_days_per_type[day]
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_latent_fraction = _latent_heat_gain / _total_heat_gain
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_radiative_fraction = _radiative_heat_gain / _total_heat_gain
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_convective_fraction = _convective_heat_gain / _total_heat_gain
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_average_internal_gain = _sum / _total_heat_gain
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_schedules = []
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for day in range(0, len(_DAYS)):
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_schedule = copy.deepcopy(_base_schedule)
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_schedule.day_types = [_DAYS[day]]
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_schedule.values = _schedule_values[:day]
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_schedules.append(_schedule)
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_mean_internal_gain.average_internal_gain = _average_internal_gain
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_mean_internal_gain.latent_fraction = _latent_fraction
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_mean_internal_gain.convective_fraction = _convective_fraction
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_mean_internal_gain.radiative_fraction = _radiative_fraction
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_mean_internal_gain.schedules = _schedules
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return [_mean_internal_gain]
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