95 lines
4.6 KiB
Python
95 lines
4.6 KiB
Python
"""
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HftUsageParameters model the usage properties
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import sys
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import copy
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from imports.geometry.helpers.geometry_helper import GeometryHelper
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from imports.usage.hft_usage_interface import HftUsageInterface
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from imports.usage.helpers.usage_helper import UsageHelper
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from city_model_structure.building_demand.usage_zone import UsageZone
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class HftUsageParameters(HftUsageInterface):
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"""
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HftUsageParameters class
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"""
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def __init__(self, city, base_path):
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super().__init__(base_path, 'de_library.xml')
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self._city = city
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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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for building in city.buildings:
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usage = GeometryHelper().libs_usage_from_libs_function(building.function)
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try:
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archetype = self._search_archetype(usage)
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except KeyError:
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sys.stderr.write(f'Building {building.name} has unknown archetype for building function:'
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f' {building.function}, that assigns building usage as '
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f'{GeometryHelper().libs_usage_from_libs_function(building.function)}\n')
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return
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for internal_zone in building.internal_zones:
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usage_zone = UsageZone()
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libs_usage = GeometryHelper().libs_usage_from_libs_function(building.function)
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usage_zone.usage = UsageHelper().hft_from_libs_usage(libs_usage)
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self._assign_values(usage_zone, archetype)
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usage_zone.percentage = 1
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internal_zone.usage_zones = [usage_zone]
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def _search_archetype(self, libs_usage):
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building_usage = UsageHelper().hft_from_libs_usage(libs_usage)
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for building_archetype in self._usage_archetypes:
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if building_archetype.usage == building_usage:
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return building_archetype
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return None
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@staticmethod
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def _assign_values(usage_zone, archetype):
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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.internal_gains when writing usage_zone.internal_gains = archetype.internal_gains.
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# Therefore, this walk around has been done.
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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.mechanical_air_change
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_occupancy = Occupancy()
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_occupancy.occupancy_density = archetype.occupancy.occupancy_density
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usage_zone.occupancy = _occupancy
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_appliances = Appliances()
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_appliances.appliances_density = archetype.appliances.appliances_density
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usage_zone.appliances = _appliances
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_control = ThermalControl()
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_control.mean_heating_set_point = archetype.thermal_control.mean_heating_set_point
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_control.heating_set_back = archetype.thermal_control.heating_set_back
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_control.mean_cooling_set_point = archetype.thermal_control.mean_cooling_set_point
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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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usage_zone.thermal_control = _control
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_internal_gains = []
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for archetype_internal_gain in archetype.not_detailed_source_mean_annual_internal_gains:
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_internal_gain = InternalGains()
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_internal_gain.average_internal_gain = archetype_internal_gain.average_internal_gain
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_internal_gain.convective_fraction = archetype_internal_gain.convective_fraction
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_internal_gain.radiative_fraction = archetype_internal_gain.radiative_fraction
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_internal_gain.latent_fraction = archetype_internal_gain.latent_fraction
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_internal_gain.schedules = archetype_internal_gain.schedules
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_internal_gains.append(_internal_gain)
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usage_zone.not_detailed_source_mean_annual_internal_gains = _internal_gains
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"""
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usage_zone.mechanical_air_change = archetype.mechanical_air_change
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usage_zone.occupancy = copy.deepcopy(archetype.occupancy)
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usage_zone.appliances = copy.deepcopy(archetype.appliances)
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usage_zone.thermal_control = copy.deepcopy(archetype.thermal_control)
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usage_zone.not_detailed_source_mean_annual_internal_gains = \
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copy.deepcopy(archetype.not_detailed_source_mean_annual_internal_gains)
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usage_zone.days_year = archetype.days_year
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usage_zone.hours_day = archetype.hours_day
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