hub/imports/usage/comnet_usage_parameters.py

"""
ComnetUsageParameters extracts the usage properties from Comnet catalog and assigns to each building
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 copy
import sys
import numpy

import helpers.constants as cte
from imports.usage.helpers.usage_helper import UsageHelper
from city_model_structure.building_demand.usage import Usage
from city_model_structure.building_demand.lighting import Lighting
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
from city_model_structure.building_demand.internal_gain import InternalGain
from catalog_factories.usage_catalog_factory import UsageCatalogFactory


class ComnetUsageParameters:
  """
  ComnetUsageParameters class
  """
  def __init__(self, city, base_path):
    self._city = city
    self._path = base_path

  def enrich_buildings(self):
    """
    Returns the city with the usage parameters assigned to the buildings
    :return:
    """
    city = self._city
    comnet_catalog = UsageCatalogFactory('comnet').catalog
    for building in city.buildings:
      usage_name = UsageHelper.comnet_from_hub_usage(building.function)
      try:
        archetype_usage = self._search_archetypes(comnet_catalog, usage_name)
      except KeyError:
        sys.stderr.write(f'Building {building.name} has unknown usage archetype for building function:'
                         f' {building.function}')
        return

      for internal_zone in building.internal_zones:
        if internal_zone.area is None:
          raise Exception('Internal zone area not defined, ACH cannot be calculated')
        if internal_zone.volume is None:
          raise Exception('Internal zone volume not defined, ACH cannot be calculated')
        if internal_zone.area <= 0:
          raise Exception('Internal zone area is zero, ACH cannot be calculated')
        volume_per_area = internal_zone.volume / internal_zone.area
        usage_zone = Usage()
        usage_zone.name = usage_name
        self._assign_values(usage_zone, archetype_usage, volume_per_area)
        usage_zone.percentage = 1
        self._calculate_reduced_values_from_extended_library(usage_zone, archetype_usage)

        internal_zone.usages = [usage_zone]

  @staticmethod
  def _search_archetypes(comnet_catalog, usage_name):
    comnet_archetypes = comnet_catalog.entries('archetypes').usages
    for building_archetype in comnet_archetypes:
      if str(usage_name) == str(building_archetype.name):
        return building_archetype
    raise KeyError('archetype not found')

  @staticmethod
  def _assign_values(usage_zone, archetype, volume_per_area):
    # Due to the fact that python is not a typed language, the wrong object type is assigned to
    # usage_zone.occupancy when writing usage_zone.occupancy = archetype.occupancy.
    # Same happens for lighting and appliances. Therefore, this walk around has been done.
    usage_zone.mechanical_air_change = archetype.ventilation_rate / volume_per_area \
                                       * cte.HOUR_TO_MINUTES * cte.MINUTES_TO_SECONDS
    _occupancy = Occupancy()
    _occupancy.occupancy_density = archetype.occupancy.occupancy_density
    _occupancy.sensible_radiative_internal_gain = archetype.occupancy.sensible_radiative_internal_gain
    _occupancy.latent_internal_gain = archetype.occupancy.latent_internal_gain
    _occupancy.sensible_convective_internal_gain = archetype.occupancy.sensible_convective_internal_gain
    _occupancy.occupancy_schedules = archetype.occupancy.schedules
    usage_zone.occupancy = _occupancy
    _lighting = Lighting()
    _lighting.density = archetype.lighting.density
    _lighting.convective_fraction = archetype.lighting.convective_fraction
    _lighting.radiative_fraction = archetype.lighting.radiative_fraction
    _lighting.latent_fraction = archetype.lighting.latent_fraction
    _lighting.schedules = archetype.lighting.schedules
    usage_zone.lighting = _lighting
    _appliances = Appliances()
    _appliances.density = archetype.appliances.density
    _appliances.convective_fraction = archetype.appliances.convective_fraction
    _appliances.radiative_fraction = archetype.appliances.radiative_fraction
    _appliances.latent_fraction = archetype.appliances.latent_fraction
    _appliances.schedules = archetype.appliances.schedules
    usage_zone.appliances = _appliances
    _control = ThermalControl()
    _control.cooling_set_point_schedules = archetype.thermal_control.cooling_set_point_schedules
    _control.heating_set_point_schedules = archetype.thermal_control.heating_set_point_schedules
    _control.hvac_availability_schedules = archetype.thermal_control.hvac_availability_schedules
    usage_zone.thermal_control = _control

  @staticmethod
  def _calculate_reduced_values_from_extended_library(usage_zone, archetype):
    number_of_days_per_type = {'WD': 251, 'Sat': 52, 'Sun': 62}
    total = 0
    for schedule in archetype.thermal_control.hvac_availability_schedules:
      if schedule.day_types[0] == cte.SATURDAY:
        for value in schedule.values:
          total += value * number_of_days_per_type['Sat']
      elif schedule.day_types[0] == cte.SUNDAY:
        for value in schedule.values:
          total += value * number_of_days_per_type['Sun']
      else:
        for value in schedule.values:
          total += value * number_of_days_per_type['WD']

    usage_zone.hours_day = total / 365
    usage_zone.days_year = 365

  @staticmethod
  def _calculate_internal_gains(archetype):

    _DAYS = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY, cte.HOLIDAY]
    _number_of_days_per_type = [51, 50, 50, 50, 50, 52, 52, 10]

    _mean_internal_gain = InternalGain()
    _mean_internal_gain.type = 'mean_value_of_internal_gains'
    _base_schedule = Schedule()
    _base_schedule.type = cte.INTERNAL_GAINS
    _base_schedule.time_range = cte.DAY
    _base_schedule.time_step = cte.HOUR
    _base_schedule.data_type = cte.FRACTION

    _latent_heat_gain = archetype.occupancy.latent_internal_gain
    _convective_heat_gain = archetype.occupancy.sensible_convective_internal_gain
    _radiative_heat_gain = archetype.occupancy.sensible_radiative_internal_gain
    _total_heat_gain = (_latent_heat_gain + _convective_heat_gain + _radiative_heat_gain)

    _schedule_values = numpy.zeros([24, 8])
    _sum = 0
    for day, _schedule in enumerate(archetype.occupancy.schedules):
      for v, value in enumerate(_schedule.values):
        _schedule_values[v, day] = value * _total_heat_gain
        _sum += value * _total_heat_gain * _number_of_days_per_type[day]

    _total_heat_gain += archetype.lighting.density + archetype.appliances.density
    _latent_heat_gain += archetype.lighting.latent_fraction * archetype.lighting.density\
                         + archetype.appliances.latent_fraction * archetype.appliances.density
    _radiative_heat_gain = archetype.lighting.radiative_fraction * archetype.lighting.density \
                           + archetype.appliances.radiative_fraction * archetype.appliances.density
    _convective_heat_gain = archetype.lighting.convective_fraction * archetype.lighting.density \
                           + archetype.appliances.convective_fraction * archetype.appliances.density

    for day, _schedule in enumerate(archetype.lighting.schedules):
      for v, value in enumerate(_schedule.values):
        _schedule_values[v, day] += value * archetype.lighting.density
        _sum += value * archetype.lighting.density * _number_of_days_per_type[day]

    for day, _schedule in enumerate(archetype.appliances.schedules):
      for v, value in enumerate(_schedule.values):
        _schedule_values[v, day] += value * archetype.appliances.density
        _sum += value * archetype.appliances.density * _number_of_days_per_type[day]

    _latent_fraction = _latent_heat_gain / _total_heat_gain
    _radiative_fraction = _radiative_heat_gain / _total_heat_gain
    _convective_fraction = _convective_heat_gain / _total_heat_gain
    _average_internal_gain = _sum / _total_heat_gain

    _schedules = []
    for day in range(0, len(_DAYS)):
      _schedule = copy.deepcopy(_base_schedule)
      _schedule.day_types = [_DAYS[day]]
      _schedule.values = _schedule_values[:day]
      _schedules.append(_schedule)

    _mean_internal_gain.average_internal_gain = _average_internal_gain
    _mean_internal_gain.latent_fraction = _latent_fraction
    _mean_internal_gain.convective_fraction = _convective_fraction
    _mean_internal_gain.radiative_fraction = _radiative_fraction
    _mean_internal_gain.schedules = _schedules

    return [_mean_internal_gain]