forked from s_ranjbar/city_retrofit
78 lines
3.3 KiB
Python
78 lines
3.3 KiB
Python
"""
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CaUsageParameters 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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from imports.geometry.helpers.geometry_helper import GeometryHelper as gh
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from imports.usage.hft_usage_interface import HftUsageInterface
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from city_model_structure.building_demand.usage_zone import UsageZone
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from city_model_structure.building_demand.internal_gains import InternalGains
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class CaUsageParameters(HftUsageInterface):
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"""
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CaUsageParameters class
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"""
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def __init__(self, city, base_path):
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super().__init__(base_path, 'ca_archetypes_reduced.xml')
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self._city = city
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# todo: this is a wrong location for self._min_air_change -> re-think where to place this info
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# and where it comes from
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self._min_air_change = 0
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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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archetype = self._search_archetype(building.function)
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if archetype is None:
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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'{gh.usage_from_function(building.function)}\n')
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continue
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# todo: what to do with mix-usage usage from gml?
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mix_usage = False
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if not mix_usage:
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# just one usage_zone
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for thermal_zone in building.thermal_zones:
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usage_zone = UsageZone()
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self._assign_values(usage_zone, archetype)
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thermal_zone.usage_zones = [usage_zone]
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def _search_archetype(self, building_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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usage_zone.usage = archetype.usage
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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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internal_gains = []
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for ig in archetype.internal_gains:
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internal_gain = InternalGains()
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internal_gain.average_internal_gain = ig.average_internal_gain
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internal_gain.convective_fraction = ig.convective_fraction
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internal_gain.radiative_fraction = ig.radiative_fraction
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internal_gain.latent_fraction = ig.latent_fraction
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internal_gains.append(internal_gain)
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usage_zone.internal_gains = internal_gains
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usage_zone.heating_setpoint = archetype.heating_setpoint
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usage_zone.heating_setback = archetype.heating_setback
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usage_zone.cooling_setpoint = archetype.cooling_setpoint
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usage_zone.occupancy_density = archetype.occupancy_density
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usage_zone.hours_day = archetype.hours_day
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usage_zone.days_year = archetype.days_year
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usage_zone.dhw_average_volume_pers_day = archetype.dhw_average_volume_pers_day
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usage_zone.dhw_preparation_temperature = archetype.dhw_preparation_temperature
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usage_zone.electrical_app_average_consumption_sqm_year = archetype.electrical_app_average_consumption_sqm_year
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usage_zone.mechanical_air_change = archetype.mechanical_air_change
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