Merge branch 'insel_exporter' into 'master'

Insel exporter

See merge request Guille/hub!40

exports/building_energy/idf.py

@@ -51,7 +51,6 @@ class Idf:
   _LOCATION = 'SITE:LOCATION'
   _SIMPLE = 'Simple'
 
-
   idf_surfaces = {
     # todo: make an enum for all the surface types
     cte.WALL: 'wall',

exports/building_energy/insel/insel_monthly_energy_balance.py

@@ -0,0 +1,184 @@
+import numpy as np
+from pathlib import Path
+
+from exports.formats.insel import Insel
+from imports.weather.helpers.weather import Weather
+import helpers.constants as cte
+
+_CONSTRUCTION_CODE = {
+    cte.WALL: '1',
+    cte.GROUND: '2',
+    cte.ROOF: '3',
+    cte.INTERIOR_WALL: '5',
+    cte.GROUND_WALL: '6',
+    cte.ATTIC_FLOOR: '7',
+    cte.INTERIOR_SLAB: '8'
+  }
+
+
+class InselMonthlyEnergyBalance(Insel):
+
+  def __init__(self, city, path, radiation_calculation_method='sra', weather_format='epw'):
+    super().__init__(city, path)
+    self._radiation_calculation_method = radiation_calculation_method
+    self._weather_format = weather_format
+    self._contents = []
+    self._insel_files_paths = []
+    for building in city.buildings:
+      self._insel_files_paths.append(building.name + '.insel')
+      file_name_out = building.name + '.out'
+      output_path = Path(self._path / file_name_out).resolve()
+      self._contents.append(self.generate_meb_template(building, output_path, self._radiation_calculation_method,
+                                                       self._weather_format))
+    self._export()
+
+  def _export(self):
+    for i_file, content in enumerate(self._contents):
+      file_name = self._insel_files_paths[i_file]
+      with open(Path(self._path / file_name).resolve(), 'w') as insel_file:
+        insel_file.write(content)
+    return
+
+  @staticmethod
+  def generate_meb_template(building, insel_outputs_path, radiation_calculation_method, weather_format):
+    file = ""
+    i_block = 1
+    parameters = ["1", "12", "1"]
+    file = Insel._add_block(file, i_block, 'DO', parameters=parameters)
+
+    i_block = 4
+    inputs = ["1.1", "20.1", "21.1"]
+    surfaces = building.surfaces
+    for i in range(1, len(surfaces) + 1):
+      inputs.append(f"{str(100 + i)}.1 % Radiation surface {str(i)}")
+
+    # BUILDING PARAMETERS
+    parameters = [f'{0.85 * building.volume} % BP(1) Heated Volume (vBrutto)',
+                  f'{building.average_storey_height} % BP(2) Average storey height / m',
+                  f'{building.storeys_above_ground} % BP(3) Number of storeys above ground',
+                  f'{building.attic_heated} % BP(4) Attic heating type (0=no room, 1=unheated, 2=heated)',
+                  f'{building.basement_heated} % BP(5) Cellar heating type (0=no room, 1=unheated, 2=heated, '
+                  f'99=invalid)']
+
+    # todo: this method and the insel model have to be reviewed for more than one internal zone
+    internal_zone = building.internal_zones[0]
+    thermal_zone = internal_zone.thermal_zones[0]
+    parameters.append(f'{thermal_zone.indirectly_heated_area_ratio} % BP(6) Indirectly heated area ratio')
+    parameters.append(f'{thermal_zone.effective_thermal_capacity} % BP(7) Effective heat capacity')
+    parameters.append(f'{thermal_zone.additional_thermal_bridge_u_value * thermal_zone.total_floor_area} '
+                      f'% BP(8) Additional U-value for heat bridge')
+    parameters.append('0 % BP(9) Usage type (0=standard, 1=IWU)')
+
+    # ZONES AND SURFACES
+    parameters.append(f'{len(internal_zone.usage_zones)} %  BP(10) Number $z$ of zones')
+
+    for i, usage_zone in enumerate(internal_zone.usage_zones):
+      percentage_usage = usage_zone.percentage
+      parameters.append(f'{float(internal_zone.area) * percentage_usage}  % BP(11) #1 Area of zone {i + 1} (sqm)')
+      total_internal_gain = 0
+      for ig in usage_zone.internal_gains:
+        total_internal_gain += float(ig.average_internal_gain) * \
+                                (float(ig.convective_fraction) + float(ig.radiative_fraction))
+      parameters.append(f'{total_internal_gain} % BP(12) #2 Internal gains of zone {i + 1}')
+      parameters.append(f'{usage_zone.thermal_control.mean_heating_set_point} % BP(13) #3 Heating setpoint temperature '
+                        f'zone {i + 1} (tSetHeat)')
+      parameters.append(f'{usage_zone.thermal_control.heating_set_back} % BP(14) #4 Heating setback temperature '
+                        f'zone {i + 1} (tSetbackHeat)')
+      parameters.append(f'{usage_zone.thermal_control.mean_cooling_set_point} % BP(15) #5 Cooling setpoint temperature '
+                        f'zone {i + 1} (tSetCool)')
+      parameters.append(f'{usage_zone.hours_day} %  BP(16) #6 Usage hours per day zone {i + 1}')
+      parameters.append(f'{usage_zone.days_year} %  BP(17) #7 Usage days per year zone {i + 1}')
+      parameters.append(f'{usage_zone.mechanical_air_change} % BP(18) #8 Minimum air change rate zone {i + 1} (h^-1)')
+
+    parameters.append(f'{len(thermal_zone.thermal_boundaries)}  % Number of surfaces = BP(11+8z) \n'
+                      f'% 1. Surface type (1=wall, 2=ground 3=roof, 4=flat roof)\n'
+                      f'% 2. Areas above ground\n'
+                      f'% 3. Areas below ground\n'
+                      f'% 4. U-value\n'
+                      f'% 5. Window area\n'
+                      f'% 6. Window frame fraction\n'
+                      f'% 7. Window U-value\n'
+                      f'% 8. Window g-value\n'
+                      f'% 9. Short-wave reflectance\n'
+                      f'% #1     #2       #3      #4      #5     #6     #7     #8     #9\n')
+
+    for thermal_boundary in thermal_zone.thermal_boundaries:
+      type_code = _CONSTRUCTION_CODE[thermal_boundary.type]
+      window_area = thermal_boundary.opaque_area * thermal_boundary.window_ratio / (1 - thermal_boundary.window_ratio)
+
+      parameters.append(type_code)
+      parameters.append(0.85 * thermal_boundary.opaque_area)
+      parameters.append('0.0')
+      parameters.append(thermal_boundary.u_value)
+      parameters.append(0.85 * window_area)
+
+      if window_area <= 0.001:
+        parameters.append(0.0)
+        parameters.append(0.0)
+        parameters.append(0.0)
+      else:
+        thermal_opening = thermal_boundary.thermal_openings[0]
+        parameters.append(thermal_opening.frame_ratio)
+        parameters.append(thermal_opening.overall_u_value)
+        parameters.append(thermal_opening.g_value)
+      if thermal_boundary.type is not cte.GROUND:
+        parameters.append(thermal_boundary.parent_surface.short_wave_reflectance)
+      else:
+        parameters.append(0.0)
+
+    file = Insel._add_block(file, i_block, 'd18599', inputs=inputs, parameters=parameters)
+
+    i_block = 20
+    inputs = ['1']
+    parameters = ['12 % Monthly ambient temperature']
+
+    external_temperature = building.external_temperature[cte.MONTH]
+
+    for i in range(0, len(external_temperature)):
+      parameters.append(f'{i + 1} {external_temperature.at[i, weather_format]}')
+
+    file = Insel._add_block(file, i_block, 'polyg', inputs=inputs, parameters=parameters)
+
+    i_block = 21
+    inputs = ['1']
+    parameters = ['12 % Monthly sky temperature']
+
+    sky_temperature = Weather.sky_temperature(external_temperature[[weather_format]].to_numpy().T[0])
+    for i, temperature in enumerate(sky_temperature):
+      parameters.append(f'{i + 1} {temperature}')
+
+    file = Insel._add_block(file, i_block, 'polyg', inputs=inputs, parameters=parameters)
+
+    for i, surface in enumerate(surfaces):
+      i_block = 101 + i
+      inputs = ['1 % Monthly surface radiation (W/sqm)']
+      parameters = [f'12 % Azimuth {np.rad2deg(surface.azimuth)}, '
+                    f'inclination {np.rad2deg(surface.inclination)} degrees']
+
+      if surface.type != 'Ground':
+        global_irradiance = surface.global_irradiance[cte.MONTH]
+        for j in range(0, len(global_irradiance)):
+          parameters.append(f'{j + 1} {global_irradiance.at[j, radiation_calculation_method]}')
+      else:
+        for j in range(0, 12):
+          parameters.append(f'{j + 1} 0.0')
+
+      file = Insel._add_block(file, i_block, 'polyg', inputs=inputs, parameters=parameters)
+
+    i_block = 300
+    inputs = ['4.1', '4.2']
+    file = Insel._add_block(file, i_block, 'cum', inputs=inputs)
+
+    i_block = 303
+    inputs = ['300.1', '300.2']
+    file = Insel._add_block(file, i_block, 'atend', inputs=inputs)
+
+    i_block = 310
+    inputs = ['4.1', '4.2']
+    parameters = ['1 % Mode',
+                  '0 % Suppress FNQ inputs',
+                  f"'{str(insel_outputs_path)}' % File name",
+                  "'*' % Fortran format"]
+    file = Insel._add_block(file, i_block, 'WRITE', inputs=inputs, parameters=parameters)
+
+    return file

exports/energy_building_exports_factory.py

@@ -0,0 +1,74 @@
+"""
+EnergyBuildingsExportsFactory exports a city into several formats related to energy in buildings
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Pilar Monsalvete Alvarez de uribarri pilar.monsalvete@concordia.ca
+"""
+
+from pathlib import Path
+from exports.building_energy.energy_ade import EnergyAde
+from exports.building_energy.idf import Idf
+from exports.building_energy.insel.insel_monthly_energy_balance import InselMonthlyEnergyBalance
+
+
+class EnergyBuildingsExportsFactory:
+  """
+  Energy Buildings exports factory class
+  """
+  def __init__(self, export_type, city, path, target_buildings=None, adjacent_buildings=None):
+    self._city = city
+    self._export_type = '_' + export_type.lower()
+    if isinstance(path, str):
+      path = Path(path)
+    self._path = path
+    self._target_buildings = target_buildings
+    self._adjacent_buildings = adjacent_buildings
+
+  @property
+  def _energy_ade(self):
+    """
+    Export to citygml with application domain extensions
+    :return: None
+    """
+    return EnergyAde(self._city, self._path)
+
+  @property
+  def _idf(self):
+    """
+    Export the city to Energy+ idf format
+
+    When target_buildings is set, only those will be calculated and their energy consumption output, non adjacent
+    buildings will be considered shading objects and adjacent buildings will be considered adiabatic.
+
+    Adjacent buildings are provided they will be considered heated so energy plus calculations are more precise but
+    no results will be calculated to speed up the calculation process.
+
+    :return: None
+    """
+    idf_data_path = (Path(__file__).parent / './building_energy/idf_files/').resolve()
+    # todo: create a get epw file function based on the city
+    weather_path = (Path(__file__).parent / '../data/weather/epw/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
+    return Idf(self._city, self._path, (idf_data_path / 'Minimal.idf'), (idf_data_path / 'Energy+.idd'), weather_path,
+               target_buildings=self._target_buildings, adjacent_buildings=self._adjacent_buildings)
+
+  @property
+  def _insel_monthly_energy_balance(self):
+    """
+    Export to Insel MonthlyEnergyBalance
+    :return: None
+    """
+    return InselMonthlyEnergyBalance(self._city, self._path)
+
+  def export(self):
+    """
+    Export the city given to the class using the given export type handler
+    :return: None
+    """
+    return getattr(self, self._export_type, lambda: None)
+
+  def export_debug(self):
+    """
+    Export the city given to the class using the given export type handler
+    :return: None
+    """
+    return getattr(self, self._export_type)

exports/exports_factory.py

@@ -6,8 +6,6 @@ Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
 """
 
 from pathlib import Path
-from exports.formats.energy_ade import EnergyAde
-from exports.formats.idf import Idf
 from exports.formats.obj import Obj
 from exports.formats.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
 from exports.formats.stl import Stl
@@ -38,14 +36,6 @@ class ExportsFactory:
   def _collada(self):
     raise NotImplementedError
 
-  @property
-  def _energy_ade(self):
-    """
-    Export to citygml with application domain extensions
-    :return: None
-    """
-    return EnergyAde(self._city, self._path)
-
   @property
   def _stl(self):
     """
@@ -70,25 +60,6 @@ class ExportsFactory:
     """
     return Obj(self._city, self._path).to_ground_points()
 
-  @property
-  def _idf(self):
-    """
-    Export the city to Energy+ idf format
-
-    When target_buildings is set, only those will be calculated and their energy consumption output, non adjacent
-    buildings will be considered shading objects and adjacent buildings will be considered adiabatic.
-
-    Adjacent buildings are provided they will be considered heated so energy plus calculations are more precise but
-    no results will be calculated to speed up the calculation process.
-
-    :return: None
-    """
-    idf_data_path = (Path(__file__).parent / './formats/idf_files/').resolve()
-    # todo: create a get epw file function based on the city
-    weather_path = (Path(__file__).parent / '../data/weather/epw/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
-    return Idf(self._city, self._path, (idf_data_path / 'Minimal.idf'), (idf_data_path / 'Energy+.idd'), weather_path,
-               target_buildings=self._target_buildings, adjacent_buildings=self._adjacent_buildings)
-
   @property
   def _sra(self):
     """

exports/formats/insel.py

@@ -0,0 +1,30 @@
+"""
+Insel export models to insel format
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+"""
+
+from abc import ABC
+
+
+class Insel(ABC):
+  def __init__(self, city, path):
+    self._city = city
+    self._path = path
+    self._results = None
+
+  @staticmethod
+  def _add_block(file, block_number, block_type, inputs='', parameters=''):
+    file += "S " + str(block_number) + " " + block_type + "\n"
+    for block_input in inputs:
+      file += str(block_input) + "\n"
+    if len(parameters) > 0:
+      file += "P " + str(block_number) + "\n"
+    for block_parameter in parameters:
+      file += str(block_parameter) + "\n"
+    return file
+
+  def _export(self):
+    raise NotImplementedError
+

helpers/monthly_values.py

@@ -0,0 +1,47 @@
+"""
+Monthly values
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
+"""
+
+import pandas as pd
+import numpy as np
+import calendar as cal
+
+
+class MonthlyValues:
+  def __init__(self):
+    self._month_hour = None
+
+  def get_mean_values(self, values):
+    out = None
+    if values is not None:
+      if 'month' not in values.columns:
+        values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
+      out = values.groupby('month', as_index=False).mean()
+      del out['month']
+    return out
+
+  def get_total_month(self, values):
+    out = None
+    if values is not None:
+      if 'month' not in values.columns:
+        values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
+      out = pd.DataFrame(values).groupby('month', as_index=False).sum()
+      del out['month']
+    return out
+
+  @property
+  def month_hour(self):
+    """
+    returns a DataFrame that has x values of the month number (January = 1, February = 2...),
+    being x the number of hours of the corresponding month
+    :return: DataFrame(int)
+    """
+    array = []
+    for i in range(0, 12):
+      days_of_month = cal.monthrange(2015, i+1)[1]
+      total_hours = days_of_month * 24
+      array = np.concatenate((array, np.full(total_hours, i + 1)))
+    self._month_hour = pd.DataFrame(array, columns=['month'])
+    return self._month_hour

unittests/test_doe_idf.py

@@ -9,7 +9,7 @@ from unittest import TestCase
 from imports.geometry_factory import GeometryFactory
 from imports.usage_factory import UsageFactory
 from imports.construction_factory import ConstructionFactory
-from exports.exports_factory import ExportsFactory
+from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
 
 
 class TestBuildings(TestCase):
@@ -32,7 +32,7 @@ class TestBuildings(TestCase):
       building.year_of_construction = 2006
     ConstructionFactory('nrel', city).enrich()
     UsageFactory('comnet', city).enrich()
-    ExportsFactory('idf', city, output_path).export()
+    EnergyBuildingsExportsFactory('idf', city, output_path).export()
 
     self.assertEqual(1, len(city.buildings))
     for building in city.buildings:

unittests/test_geometry_factory.py

@@ -8,11 +8,9 @@ from pathlib import Path
 from unittest import TestCase
 
 from numpy import inf
-from pyproj import Proj, transform
 
 from imports.geometry_factory import GeometryFactory
 from imports.construction_factory import ConstructionFactory
-import geopandas
 
 
 class TestGeometryFactory(TestCase):
@@ -169,16 +167,3 @@ class TestGeometryFactory(TestCase):
       self._check_surfaces(building)
       self.assertEqual(1912.0898135701814, building.volume)
       self.assertEqual(146.19493345171213, building.floor_area)
-
-  # osm
-  def test_subway(self):
-    """
-    Test subway parsing
-    :return:
-    """
-    file_path = (self._example_path / 'subway.osm').resolve()
-
-    city = GeometryFactory('osm_subway', path=file_path).city
-
-    self.assertIsNotNone(city, 'subway entrances is none')
-    self.assertEqual(len(city.city_objects), 20, 'Wrong number of subway entrances')

unittests/test_greenery_in_idf.py

@@ -11,7 +11,7 @@ from unittest import TestCase
 from imports.geometry_factory import GeometryFactory
 from imports.usage_factory import UsageFactory
 from imports.construction_factory import ConstructionFactory
-from exports.exports_factory import ExportsFactory
+from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
 from city_model_structure.greenery.vegetation import Vegetation
 from city_model_structure.greenery.soil import Soil
 from city_model_structure.greenery.plant import Plant
@@ -66,7 +66,7 @@ class GreeneryInIdf(TestCase):
         if surface.type == cte.ROOF:
           surface.vegetation = vegetation
 
-    _idf_2 = ExportsFactory('idf', city, output_path).export_debug()
+    _idf_2 = EnergyBuildingsExportsFactory('idf', city, output_path).export_debug()
     _idf_2.run()
     with open((output_path / f'{city.name}_out.csv').resolve()) as f:
       reader = csv.reader(f, delimiter=',')
@@ -85,7 +85,7 @@ class GreeneryInIdf(TestCase):
       building.year_of_construction = 2006
     ConstructionFactory('nrel', city).enrich()
     UsageFactory('comnet', city).enrich()
-    _idf = ExportsFactory('idf', city, output_path).export()
+    _idf = EnergyBuildingsExportsFactory('idf', city, output_path).export()
     _idf.run()
     with open((output_path / f'{city.name}_out.csv').resolve()) as f:
       reader = csv.reader(f, delimiter=',')

unittests/test_insel_exports.py

@@ -0,0 +1,149 @@
+"""
+TestInselExports test
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+"""
+
+from pathlib import Path
+from unittest import TestCase
+import pandas as pd
+import helpers.constants as cte
+from helpers.monthly_values import MonthlyValues
+from imports.geometry_factory import GeometryFactory
+from imports.construction_factory import ConstructionFactory
+from imports.usage_factory import UsageFactory
+from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
+from imports.weather_factory import WeatherFactory
+
+
+class TestExports(TestCase):
+  """
+  TestExports class contains the unittest for export functionality
+  """
+  def setUp(self) -> None:
+    """
+    Test setup
+    :return: None
+    """
+    self._city = None
+    self._complete_city = None
+    self._example_path = (Path(__file__).parent / 'tests_data').resolve()
+    self._output_path = (Path(__file__).parent / 'tests_outputs').resolve()
+
+  def _get_citygml(self, file):
+    file_path = (self._example_path / file).resolve()
+    self._city = GeometryFactory('citygml', path=file_path).city
+    self.assertIsNotNone(self._city, 'city is none')
+    return self._city
+
+  @property
+  def _read_sra_file(self) -> []:
+    path = (self._example_path / "one_building_in_kelowna_sra_SW.out").resolve()
+    _results = pd.read_csv(path, sep='\s+', header=0)
+    id_building = ''
+    header_building = []
+    _radiation = []
+    for column in _results.columns.values:
+      if id_building != column.split(':')[1]:
+        id_building = column.split(':')[1]
+        if len(header_building) > 0:
+          _radiation.append(pd.concat([MonthlyValues().month_hour, _results[header_building]], axis=1))
+        header_building = [column]
+      else:
+        header_building.append(column)
+    _radiation.append(pd.concat([MonthlyValues().month_hour, _results[header_building]], axis=1))
+    return _radiation
+
+  def _set_irradiance_surfaces(self, city):
+    """
+    saves in building surfaces the correspondent irradiance at different time-scales depending on the mode
+    if building is None, it saves all buildings' surfaces in file, if building is specified, it saves only that
+    specific building values
+    :parameter city: city
+    :return: none
+    """
+    for radiation in self._read_sra_file:
+      city_object_name = radiation.columns.values.tolist()[1].split(':')[1]
+      building = city.city_object(city_object_name)
+      for column in radiation.columns.values:
+        if column == cte.MONTH:
+          continue
+        header_id = column
+        surface_id = header_id.split(':')[2]
+        surface = building.surface_by_id(surface_id)
+        new_value = pd.DataFrame(radiation[[header_id]].to_numpy(), columns=['sra'])
+        surface.global_irradiance[cte.HOUR] = new_value
+        month_new_value = MonthlyValues().get_mean_values(new_value)
+        surface.global_irradiance[cte.MONTH] = month_new_value
+
+  def test_insel_monthly_energy_balance_export(self):
+    """
+    export to Insel MonthlyEnergyBalance
+    """
+    city = self._get_citygml('one_building_in_kelowna.gml')
+    WeatherFactory('epw', city, file_name='CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').enrich()
+    for building in city.buildings:
+      building.external_temperature[cte.MONTH] = MonthlyValues().\
+        get_mean_values(building.external_temperature[cte.HOUR][['epw']])
+    self._set_irradiance_surfaces(city)
+
+    for building in city.buildings:
+      self.assertIsNotNone(building.external_temperature[cte.MONTH], f'building {building.name} '
+                                                                     f'external_temperature is none')
+      for surface in building.surfaces:
+        if surface.type != 'Ground':
+          self.assertIsNotNone(surface.global_irradiance[cte.MONTH], f'surface in building {building.name} '
+                                                                     f'global_irradiance is none')
+
+    for building in city.buildings:
+      building.year_of_construction = 2006
+      if building.function is None:
+        building.function = 'large office'
+      building.attic_heated = False
+      building.basement_heated = False
+    ConstructionFactory('nrel', city).enrich()
+    UsageFactory('comnet', city).enrich()
+
+    # parameters written:
+    for building in city.buildings:
+      self.assertIsNotNone(building.volume, f'building {building.name} volume is none')
+      self.assertIsNotNone(building.average_storey_height, f'building {building.name} average_storey_height is none')
+      self.assertIsNotNone(building.storeys_above_ground, f'building {building.name} storeys_above_ground is none')
+      self.assertIsNotNone(building.attic_heated, f'building {building.name} attic_heated is none')
+      self.assertIsNotNone(building.basement_heated, f'building {building.name} basement_heated is none')
+      for internal_zone in building.internal_zones:
+        self.assertIsNotNone(internal_zone.area, f'internal zone {internal_zone.id} area is none')
+        for thermal_zone in internal_zone.thermal_zones:
+          self.assertIsNotNone(thermal_zone.indirectly_heated_area_ratio, f'thermal zone {thermal_zone.id} '
+                                                                          f'indirectly_heated_area_ratio is none')
+          self.assertIsNotNone(thermal_zone.effective_thermal_capacity, f'thermal zone {thermal_zone.id} '
+                                                                        f'effective_thermal_capacity is none')
+          self.assertIsNotNone(thermal_zone.additional_thermal_bridge_u_value, f'thermal zone {thermal_zone.id} '
+                                                                               f'additional_thermal_bridge_u_value '
+                                                                               f'is none')
+          self.assertIsNotNone(thermal_zone.total_floor_area, f'thermal zone {thermal_zone.id} '
+                                                              f'total_floor_area is none')
+          for thermal_boundary in thermal_zone.thermal_boundaries:
+            self.assertIsNotNone(thermal_boundary.type)
+            self.assertIsNotNone(thermal_boundary.opaque_area)
+            self.assertIsNotNone(thermal_boundary.window_ratio)
+            self.assertIsNotNone(thermal_boundary.u_value)
+            self.assertIsNotNone(thermal_boundary.thermal_openings)
+            if thermal_boundary.type is not cte.GROUND:
+              self.assertIsNotNone(thermal_boundary.parent_surface.short_wave_reflectance)
+
+        for usage_zone in internal_zone.usage_zones:
+          self.assertIsNotNone(usage_zone.percentage, f'usage zone {usage_zone.usage} percentage is none')
+          self.assertIsNotNone(usage_zone.internal_gains, f'usage zone {usage_zone.usage} internal_gains is none')
+          self.assertIsNotNone(usage_zone.thermal_control, f'usage zone {usage_zone.usage} thermal_control is none')
+          self.assertIsNotNone(usage_zone.hours_day, f'usage zone {usage_zone.usage} hours_day is none')
+          self.assertIsNotNone(usage_zone.days_year, f'usage zone {usage_zone.usage} days_year is none')
+          self.assertIsNotNone(usage_zone.mechanical_air_change, f'usage zone {usage_zone.usage} '
+                                                                 f'mechanical_air_change is none')
+
+    # export files
+    try:
+      EnergyBuildingsExportsFactory('insel_monthly_energy_balance', city, self._output_path).export_debug()
+    except Exception:
+      self.fail("Insel MonthlyEnergyBalance ExportsFactory raised ExceptionType unexpectedly!")

unittests/test_schedules_factory.py

@@ -1,69 +0,0 @@
-"""
-TestSchedulesFactory test and validate the city model structure schedules
-SPDX - License - Identifier: LGPL - 3.0 - or -later
-Copyright © 2022 Concordia CERC group
-Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
-"""
-from pathlib import Path
-from unittest import TestCase
-
-from imports.geometry_factory import GeometryFactory
-from imports.usage_factory import UsageFactory
-from imports.construction_factory import ConstructionFactory
-from imports.schedules_factory import SchedulesFactory
-from imports.geometry.helpers.geometry_helper import GeometryHelper
-
-
-class TestSchedulesFactory(TestCase):
-  """
-  TestSchedulesFactory TestCase
-  """
-
-  def setUp(self) -> None:
-    """
-    Configure test environment
-    :return:
-    """
-    self._example_path = (Path(__file__).parent / 'tests_data').resolve()
-
-  def _get_citygml(self, file):
-    file_path = (self._example_path / file).resolve()
-    _city = GeometryFactory('citygml', path=file_path).city
-    for building in _city.buildings:
-      building.year_of_construction = 2006
-    ConstructionFactory('nrel', _city).enrich()
-    self.assertIsNotNone(_city, 'city is none')
-    for building in _city.buildings:
-      building.function = GeometryHelper.libs_function_from_hft(building.function)
-      building.year_of_construction = 2005
-    UsageFactory('hft', _city).enrich()
-    return _city
-
-  def test_doe_idf_archetypes(self):
-    """
-    Enrich the city with doe_idf schedule archetypes and verify it
-    """
-    file = (self._example_path / 'C40_Final.gml').resolve()
-    city = self._get_citygml(file)
-    occupancy_handler = 'doe_idf'
-    SchedulesFactory(occupancy_handler, city).enrich()
-    for building in city.buildings:
-      for internal_zone in building.internal_zones:
-        self.assertTrue(len(internal_zone.usage_zones) > 0)
-        for usage_zone in internal_zone.usage_zones:
-          self.assertIsNot(len(usage_zone.occupancy.occupancy_schedules), 0, 'no occupancy schedules defined')
-          for schedule in usage_zone.occupancy.occupancy_schedules:
-            self.assertIsNotNone(schedule.type)
-            self.assertIsNotNone(schedule.values)
-            self.assertIsNotNone(schedule.data_type)
-            self.assertIsNotNone(schedule.time_step)
-            self.assertIsNotNone(schedule.time_range)
-            self.assertIsNotNone(schedule.day_types)
-          self.assertIsNot(len(usage_zone.lighting.schedules), 0, 'no lighting schedules defined')
-          for schedule in usage_zone.lighting.schedules:
-            self.assertIsNotNone(schedule.type)
-            self.assertIsNotNone(schedule.values)
-            self.assertIsNotNone(schedule.data_type)
-            self.assertIsNotNone(schedule.time_step)
-            self.assertIsNotNone(schedule.time_range)
-            self.assertIsNotNone(schedule.day_types)