""" Hft-based interface, it reads format defined within the CERC team (based on that one used in SimStadt and developed by the IAF team at hft-Stuttgart) SPDX - License - Identifier: LGPL - 3.0 - or -later Copyright © 2022 Concordia CERC group Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca """ import xmltodict import copy from city_model_structure.building_demand.usage_zone import UsageZone from city_model_structure.building_demand.internal_gains import InternalGains from city_model_structure.building_demand.occupancy import Occupancy from city_model_structure.building_demand.appliances import Appliances from city_model_structure.building_demand.thermal_control import ThermalControl from city_model_structure.attributes.schedule import Schedule import helpers.constants as cte class HftUsageInterface: """ HftUsageInterface abstract class """ def __init__(self, base_path, usage_file='ca_library_reduced.xml'): path = str(base_path / usage_file) self._usage_archetypes = [] with open(path) as xml: self._archetypes = xmltodict.parse(xml.read(), force_list=('zoneUsageVariant', 'zoneUsageType')) for zone_usage_type in self._archetypes['buildingUsageLibrary']['zoneUsageType']: usage = zone_usage_type['id'] usage_archetype = self._parse_zone_usage_type(usage, zone_usage_type) self._usage_archetypes.append(usage_archetype) if 'zoneUsageVariant' in zone_usage_type: for usage_zone_variant in zone_usage_type['zoneUsageVariant']: usage = usage_zone_variant['id'] usage_archetype_variant = self._parse_zone_usage_variant(usage, usage_archetype, usage_zone_variant) self._usage_archetypes.append(usage_archetype_variant) @staticmethod def _parse_zone_usage_type(usage, zone_usage_type): usage_zone_archetype = UsageZone() usage_zone_archetype.usage = usage if 'occupancy' in zone_usage_type: _occupancy = Occupancy() _occupancy.occupancy_density = zone_usage_type['occupancy']['occupancyDensity'] #todo: check units usage_zone_archetype.hours_day = zone_usage_type['occupancy']['usageHoursPerDay'] usage_zone_archetype.days_year = zone_usage_type['occupancy']['usageDaysPerYear'] usage_zone_archetype.occupancy = _occupancy if 'internGains' in zone_usage_type['occupancy']: _internal_gain = InternalGains() _internal_gain.latent_fraction = zone_usage_type['occupancy']['internGains']['latentFraction'] _internal_gain.convective_fraction = zone_usage_type['occupancy']['internGains']['convectiveFraction'] _internal_gain.average_internal_gain = zone_usage_type['occupancy']['internGains']['averageInternGainPerSqm'] _internal_gain.radiative_fraction = zone_usage_type['occupancy']['internGains']['radiantFraction'] if 'load' in zone_usage_type['occupancy']['internGains']: _schedule = Schedule() _schedule.type = 'internal gains load' _schedule.time_range = cte.DAY _schedule.time_step = cte.HOUR _schedule.data_type = cte.ANY_NUMBER _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY] _values = zone_usage_type['occupancy']['internGains']['load']['weekDayProfile']['values'] while ' ' in _values: _values = _values.replace(' ', ' ') _values = _values.split() _values_float = [] for _value in _values: _values_float.append(float(_value)) _schedule.values = _values_float _internal_gain.schedules = [_schedule] usage_zone_archetype.not_detailed_source_mean_annual_internal_gains = [_internal_gain] if 'endUses' in zone_usage_type: _thermal_control = ThermalControl() if 'space_heating' in zone_usage_type['endUses']: _thermal_control.mean_heating_set_point = \ zone_usage_type['endUses']['space_heating']['heatingSetPointTemperature'] _thermal_control.heating_set_back = zone_usage_type['endUses']['space_heating']['heatingSetBackTemperature'] if 'schedule' in zone_usage_type['endUses']['space_heating']: _schedule = Schedule() _schedule.type = 'heating temperature' _schedule.time_range = cte.DAY _schedule.time_step = cte.HOUR _schedule.data_type = cte.TEMPERATURE _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY] _values = zone_usage_type['endUses']['space_heating']['schedule']['weekDayProfile']['values'] while ' ' in _values: _values = _values.replace(' ', ' ') _values = _values.split() _values_float = [] for _value in _values: _values_float.append(float(_value)) _schedule.values = _values_float _thermal_control.heating_set_point_schedules = [_schedule] if 'space_cooling' in zone_usage_type['endUses']: _thermal_control.mean_cooling_set_point = \ zone_usage_type['endUses']['space_cooling']['coolingSetPointTemperature'] if 'schedule' in zone_usage_type['endUses']['space_cooling']: _schedule = Schedule() _schedule.type = 'cooling temperature' _schedule.time_range = cte.DAY _schedule.time_step = cte.HOUR _schedule.data_type = cte.TEMPERATURE _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY] _values = zone_usage_type['endUses']['space_cooling']['schedule']['weekDayProfile']['values'] while ' ' in _values: _values = _values.replace(' ', ' ') _values = _values.split() _values_float = [] for _value in _values: _values_float.append(float(_value)) _schedule.values = _values_float _thermal_control.cooling_set_point_schedules = [_schedule] usage_zone_archetype.thermal_control = _thermal_control if 'ventilation' in zone_usage_type['endUses'] and zone_usage_type['endUses']['ventilation'] is not None: usage_zone_archetype.mechanical_air_change = \ zone_usage_type['endUses']['ventilation']['mechanicalAirChangeRate'] # todo: not used or assigned anywhere if 'domestic_hot_water' in zone_usage_type['endUses']: # liters to cubic meters dhw_average_volume_pers_day = float( zone_usage_type['endUses']['domestic_hot_water']['averageVolumePerPersAndDay']) / 1000 dhw_preparation_temperature = zone_usage_type['endUses']['domestic_hot_water']['preparationTemperature'] if 'all_electrical_appliances' in zone_usage_type['endUses']: if 'averageConsumptionPerSqmAndYear' in zone_usage_type['endUses']['all_electrical_appliances']: # kWh to J usage_zone_archetype.electrical_app_average_consumption_sqm_year = \ float(zone_usage_type['endUses']['all_electrical_appliances']['averageConsumptionPerSqmAndYear']) \ * cte.KILO_WATTS_HOUR_TO_JULES if 'appliance' in zone_usage_type: _appliances = Appliances() _appliances.density = zone_usage_type['appliance']['#text'] #todo: check units usage_zone_archetype.appliances = _appliances return usage_zone_archetype @staticmethod def _parse_zone_usage_variant(usage, usage_zone, usage_zone_variant): # the variants mimic the inheritance concept from OOP usage_zone_archetype = copy.deepcopy(usage_zone) usage_zone_archetype.usage = usage if 'occupancy' in usage_zone_variant: _occupancy = Occupancy() if 'occupancyDensity' in usage_zone_variant['occupancy']: _occupancy.occupancy_density = usage_zone_variant['occupancy']['occupancyDensity'] # todo: check units if 'usageHoursPerDay' in usage_zone_variant['occupancy']: usage_zone_archetype.hours_day = usage_zone_variant['occupancy']['usageHoursPerDay'] if 'usageDaysPerYear' in usage_zone_variant['occupancy']: usage_zone_archetype.days_year = usage_zone_variant['occupancy']['usageDaysPerYear'] usage_zone_archetype.occupancy = _occupancy if 'internGains' in usage_zone_variant['occupancy']: _internal_gain = InternalGains() if 'latentFraction' in usage_zone_variant['occupancy']['internGains']: _internal_gain.latent_fraction = usage_zone_variant['occupancy']['internGains']['latentFraction'] if 'convectiveFraction' in usage_zone_variant['occupancy']['internGains']: _internal_gain.convective_fraction = usage_zone_variant['occupancy']['internGains']['convectiveFraction'] if 'averageInternGainPerSqm' in usage_zone_variant['occupancy']['internGains']: _internal_gain.average_internal_gain = \ usage_zone_variant['occupancy']['internGains']['averageInternGainPerSqm'] if 'radiantFraction' in usage_zone_variant['occupancy']['internGains']: _internal_gain.radiative_fraction = usage_zone_variant['occupancy']['internGains']['radiantFraction'] if 'load' in usage_zone_variant['occupancy']['internGains']: _schedule = Schedule() _schedule.type = 'internal gains load' _schedule.time_range = cte.DAY _schedule.time_step = cte.HOUR _schedule.data_type = cte.ANY_NUMBER _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY] _values = usage_zone_variant['occupancy']['internGains']['load']['weekDayProfile']['values'] while ' ' in _values: _values = _values.replace(' ', ' ') _values = _values.split() _values_float = [] for _value in _values: _values_float.append(float(_value)) _schedule.values = _values_float _internal_gain.schedules = [_schedule] usage_zone_archetype.not_detailed_source_mean_annual_internal_gains = [_internal_gain] if 'endUses' in usage_zone_variant: _thermal_control = ThermalControl() if 'space_heating' in usage_zone_variant['endUses']: if 'heatingSetPointTemperature' in usage_zone_variant['endUses']['space_heating']: _thermal_control.mean_heating_set_point = \ usage_zone_variant['endUses']['space_heating']['heatingSetPointTemperature'] if 'heatingSetBackTemperature' in usage_zone_variant['endUses']['space_heating']: _thermal_control.heating_set_back = usage_zone_variant['endUses']['space_heating']['heatingSetBackTemperature'] if 'schedule' in usage_zone_variant['endUses']['space_heating']: _schedule = Schedule() _schedule.type = 'heating temperature' _schedule.time_range = cte.DAY _schedule.time_step = cte.HOUR _schedule.data_type = cte.TEMPERATURE _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY] _values = usage_zone_variant['endUses']['space_heating']['schedule']['weekDayProfile']['values'] while ' ' in _values: _values = _values.replace(' ', ' ') _values = _values.split() _values_float = [] for _value in _values: _values_float.append(float(_value)) _schedule.values = _values_float _thermal_control.heating_set_point_schedules = [_schedule] if 'space_cooling' in usage_zone_variant['endUses'] and \ usage_zone_variant['endUses']['space_cooling'] is not None: if 'coolingSetPointTemperature' in usage_zone_variant['endUses']['space_cooling']: _thermal_control.mean_cooling_set_point = \ usage_zone_variant['endUses']['space_cooling']['coolingSetPointTemperature'] if 'schedule' in usage_zone_variant['endUses']['space_cooling']: _schedule = Schedule() _schedule.type = 'cooling temperature' _schedule.time_range = cte.DAY _schedule.time_step = cte.HOUR _schedule.data_type = cte.TEMPERATURE _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY] _values = usage_zone_variant['endUses']['space_cooling']['schedule']['weekDayProfile']['values'] while ' ' in _values: _values = _values.replace(' ', ' ') _values = _values.split() _values_float = [] for _value in _values: _values_float.append(float(_value)) _schedule.values = _values_float _thermal_control.cooling_set_point_schedules = [_schedule] usage_zone_archetype.thermal_control = _thermal_control if 'ventilation' in usage_zone_variant['endUses'] and usage_zone_variant['endUses']['ventilation'] is not None: usage_zone_archetype.mechanical_air_change = \ usage_zone_variant['endUses']['ventilation']['mechanicalAirChangeRate'] if 'appliance' in usage_zone_variant: _appliances = Appliances() _appliances.density = usage_zone_variant['appliance']['#text'] # todo: check units usage_zone_archetype.appliances = _appliances return usage_zone_archetype