Update hub/version.py

Reviewed-on: #79

hub/catalog_factories/construction/eilat_catalog.py

@@ -22,6 +22,7 @@ class EilatCatalog(Catalog):
   """
   Eilat catalog class
   """
+
   def __init__(self, path):
     _path_archetypes = Path(path / 'eilat_archetypes.json').resolve()
     _path_constructions = (path / 'eilat_constructions.json').resolve()
@@ -121,8 +122,10 @@ class EilatCatalog(Catalog):
       construction_period = archetype['period_of_construction']
       average_storey_height = archetype['average_storey_height']
       extra_loses_due_to_thermal_bridges = archetype['extra_loses_due_thermal_bridges']
-      infiltration_rate_for_ventilation_system_off = archetype['infiltration_rate_for_ventilation_system_off'] / cte.HOUR_TO_SECONDS
-      infiltration_rate_for_ventilation_system_on = archetype['infiltration_rate_for_ventilation_system_on'] / cte.HOUR_TO_SECONDS
+      infiltration_rate_for_ventilation_system_off = archetype[
+                                                       'infiltration_rate_for_ventilation_system_off'] / cte.HOUR_TO_SECONDS
+      infiltration_rate_for_ventilation_system_on = archetype[
+                                                      'infiltration_rate_for_ventilation_system_on'] / cte.HOUR_TO_SECONDS
 
       archetype_constructions = []
       for archetype_construction in archetype['constructions']:
@@ -160,7 +163,9 @@ class EilatCatalog(Catalog):
                                            extra_loses_due_to_thermal_bridges,
                                            None,
                                            infiltration_rate_for_ventilation_system_off,
-                                           infiltration_rate_for_ventilation_system_on))
+                                           infiltration_rate_for_ventilation_system_on,
+                                           0,
+                                           0))
     return _catalog_archetypes
 
   def names(self, category=None):

hub/catalog_factories/construction/nrcan_catalog.py

@@ -128,6 +128,12 @@ class NrcanCatalog(Catalog):
       infiltration_rate_for_ventilation_system_on = (
         archetype['infiltration_rate_for_ventilation_system_on'] / cte.HOUR_TO_SECONDS
       )
+      infiltration_rate_area_for_ventilation_system_off = (
+              archetype['infiltration_rate_area_for_ventilation_system_off'] * 1
+      )
+      infiltration_rate_area_for_ventilation_system_on = (
+              archetype['infiltration_rate_area_for_ventilation_system_on'] * 1
+      )
 
       archetype_constructions = []
       for archetype_construction in archetype['constructions']:
@@ -153,7 +159,6 @@ class NrcanCatalog(Catalog):
                                          _window)
             archetype_constructions.append(_construction)
             break
-
       _catalog_archetypes.append(Archetype(archetype_id,
                                            name,
                                            function,
@@ -165,7 +170,10 @@ class NrcanCatalog(Catalog):
                                            extra_loses_due_to_thermal_bridges,
                                            None,
                                            infiltration_rate_for_ventilation_system_off,
-                                           infiltration_rate_for_ventilation_system_on))
+                                           infiltration_rate_for_ventilation_system_on,
+                                           infiltration_rate_area_for_ventilation_system_off,
+                                           infiltration_rate_area_for_ventilation_system_on
+                                           ))
     return _catalog_archetypes
 
   def names(self, category=None):

hub/catalog_factories/construction/nrel_catalog.py

@@ -162,7 +162,9 @@ class NrelCatalog(Catalog):
                                            extra_loses_due_to_thermal_bridges,
                                            indirect_heated_ratio,
                                            infiltration_rate_for_ventilation_system_off,
-                                           infiltration_rate_for_ventilation_system_on))
+                                           infiltration_rate_for_ventilation_system_on,
+                                           0,
+                                           0))
     return _catalog_archetypes
 
   def names(self, category=None):

hub/catalog_factories/construction/palma_catalog.py

@@ -0,0 +1,242 @@
+"""
+Palma construction catalog
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder Cecilia Pérez Pérez cperez@irec.cat
+"""
+
+import json
+from pathlib import Path
+from hub.catalog_factories.catalog import Catalog
+from hub.catalog_factories.data_models.construction.content import Content
+from hub.catalog_factories.construction.construction_helper import ConstructionHelper
+from hub.catalog_factories.data_models.construction.construction import Construction
+from hub.catalog_factories.data_models.construction.archetype import Archetype
+from hub.catalog_factories.data_models.construction.window import Window
+from hub.catalog_factories.data_models.construction.material import Material
+from hub.catalog_factories.data_models.construction.layer import Layer
+import hub.helpers.constants as cte
+
+
+class PalmaCatalog(Catalog):
+  """
+  Palma catalog class
+  """
+  def __init__(self, path):
+    _path_archetypes = Path(path / 'palma_archetypes.json').resolve()
+    _path_constructions = (path / 'palma_constructions.json').resolve()
+    with open(_path_archetypes, 'r', encoding='utf-8') as file:
+      self._archetypes = json.load(file)
+    with open(_path_constructions, 'r', encoding='utf-8') as file:
+      self._constructions = json.load(file)
+
+    self._catalog_windows = self._load_windows()
+    self._catalog_materials = self._load_materials()
+    self._catalog_constructions = self._load_constructions()
+    self._catalog_archetypes = self._load_archetypes()
+
+    # store the full catalog data model in self._content
+    self._content = Content(self._catalog_archetypes,
+                            self._catalog_constructions,
+                            self._catalog_materials,
+                            self._catalog_windows)
+
+  def _load_windows(self):
+    _catalog_windows = []
+    windows = self._constructions['transparent_surfaces']
+    for window in windows:
+      name = list(window.keys())[0]
+      window_id = name
+      g_value = window[name]['shgc']
+      window_type = window[name]['type']
+      frame_ratio = window[name]['frame_ratio']
+      overall_u_value = window[name]['u_value']
+      _catalog_windows.append(Window(window_id, frame_ratio, g_value, overall_u_value, name, window_type))
+    return _catalog_windows
+
+  def _load_materials(self):
+    _catalog_materials = []
+    materials = self._constructions['materials']
+    for material in materials:
+      name = list(material.keys())[0]
+      material_id = name
+      no_mass = material[name]['no_mass']
+      thermal_resistance = None
+      conductivity = None
+      density = None
+      specific_heat = None
+      solar_absorptance = None
+      thermal_absorptance = None
+      visible_absorptance = None
+      if no_mass:
+        thermal_resistance = material[name]['thermal_resistance']
+      else:
+        solar_absorptance = material[name]['solar_absorptance']
+        thermal_absorptance = str(1 - float(material[name]['thermal_emittance']))
+        visible_absorptance = material[name]['visible_absorptance']
+        conductivity = material[name]['conductivity']
+        density = material[name]['density']
+        specific_heat = material[name]['specific_heat']
+      _material = Material(material_id,
+                           name,
+                           solar_absorptance,
+                           thermal_absorptance,
+                           visible_absorptance,
+                           no_mass,
+                           thermal_resistance,
+                           conductivity,
+                           density,
+                           specific_heat)
+      _catalog_materials.append(_material)
+    return _catalog_materials
+
+  def _load_constructions(self):
+    _catalog_constructions = []
+    constructions = self._constructions['opaque_surfaces']
+    for construction in constructions:
+      name = list(construction.keys())[0]
+      construction_id = name
+      construction_type = ConstructionHelper().nrcan_surfaces_types_to_hub_types[construction[name]['type']]
+      layers = []
+      for layer in construction[name]['layers']:
+        layer_id = layer
+        layer_name = layer
+        material_id = layer
+        thickness = construction[name]['layers'][layer]
+        for material in self._catalog_materials:
+          if str(material_id) == str(material.id):
+            layers.append(Layer(layer_id, layer_name, material, thickness))
+            break
+      _catalog_constructions.append(Construction(construction_id, construction_type, name, layers))
+    return _catalog_constructions
+
+  def _load_archetypes(self):
+    _catalog_archetypes = []
+    archetypes = self._archetypes['archetypes']
+    for archetype in archetypes:
+      archetype_id = f'{archetype["function"]}_{archetype["period_of_construction"]}_{archetype["climate_zone"]}'
+      function = archetype['function']
+      name = archetype_id
+      climate_zone = archetype['climate_zone']
+      construction_period = archetype['period_of_construction']
+      average_storey_height = archetype['average_storey_height']
+      thermal_capacity = float(archetype['thermal_capacity']) * 1000
+      extra_loses_due_to_thermal_bridges = archetype['extra_loses_due_thermal_bridges']
+      infiltration_rate_for_ventilation_system_off = archetype['infiltration_rate_for_ventilation_system_off'] / cte.HOUR_TO_SECONDS
+      infiltration_rate_for_ventilation_system_on = archetype['infiltration_rate_for_ventilation_system_on'] / cte.HOUR_TO_SECONDS
+      infiltration_rate_area_for_ventilation_system_off = (
+              archetype['infiltration_rate_area_for_ventilation_system_off'] * 1
+      )
+      infiltration_rate_area_for_ventilation_system_on = (
+              archetype['infiltration_rate_area_for_ventilation_system_on'] * 1
+      )
+
+      archetype_constructions = []
+      for archetype_construction in archetype['constructions']:
+        archetype_construction_type = ConstructionHelper().nrcan_surfaces_types_to_hub_types[archetype_construction]
+        archetype_construction_name = archetype['constructions'][archetype_construction]['opaque_surface_name']
+        for construction in self._catalog_constructions:
+          if archetype_construction_type == construction.type and construction.name == archetype_construction_name:
+            _construction = None
+            _window = None
+            _window_ratio = None
+            if 'transparent_surface_name' in archetype['constructions'][archetype_construction].keys():
+              _window_ratio = archetype['constructions'][archetype_construction]['transparent_ratio']
+              _window_id = archetype['constructions'][archetype_construction]['transparent_surface_name']
+              for window in self._catalog_windows:
+                if _window_id == window.id:
+                  _window = window
+                  break
+            _construction = Construction(construction.id,
+                                         construction.type,
+                                         construction.name,
+                                         construction.layers,
+                                         _window_ratio,
+                                         _window)
+            archetype_constructions.append(_construction)
+            break
+
+      _catalog_archetypes.append(Archetype(archetype_id,
+                                           name,
+                                           function,
+                                           climate_zone,
+                                           construction_period,
+                                           archetype_constructions,
+                                           average_storey_height,
+                                           thermal_capacity,
+                                           extra_loses_due_to_thermal_bridges,
+                                           None,
+                                           infiltration_rate_for_ventilation_system_off,
+                                           infiltration_rate_for_ventilation_system_on,
+                                           infiltration_rate_area_for_ventilation_system_off,
+                                           infiltration_rate_area_for_ventilation_system_on))
+    return _catalog_archetypes
+
+  def names(self, category=None):
+    """
+    Get the catalog elements names
+    :parm: optional category filter
+    """
+    if category is None:
+      _names = {'archetypes': [], 'constructions': [], 'materials': [], 'windows': []}
+      for archetype in self._content.archetypes:
+        _names['archetypes'].append(archetype.name)
+      for construction in self._content.constructions:
+        _names['constructions'].append(construction.name)
+      for material in self._content.materials:
+        _names['materials'].append(material.name)
+      for window in self._content.windows:
+        _names['windows'].append(window.name)
+    else:
+      _names = {category: []}
+      if category.lower() == 'archetypes':
+        for archetype in self._content.archetypes:
+          _names[category].append(archetype.name)
+      elif category.lower() == 'constructions':
+        for construction in self._content.constructions:
+          _names[category].append(construction.name)
+      elif category.lower() == 'materials':
+        for material in self._content.materials:
+          _names[category].append(material.name)
+      elif category.lower() == 'windows':
+        for window in self._content.windows:
+          _names[category].append(window.name)
+      else:
+        raise ValueError(f'Unknown category [{category}]')
+    return _names
+
+  def entries(self, category=None):
+    """
+    Get the catalog elements
+    :parm: optional category filter
+    """
+    if category is None:
+      return self._content
+    if category.lower() == 'archetypes':
+      return self._content.archetypes
+    if category.lower() == 'constructions':
+      return self._content.constructions
+    if category.lower() == 'materials':
+      return self._content.materials
+    if category.lower() == 'windows':
+      return self._content.windows
+    raise ValueError(f'Unknown category [{category}]')
+
+  def get_entry(self, name):
+    """
+    Get one catalog element by names
+    :parm: entry name
+    """
+    for entry in self._content.archetypes:
+      if entry.name.lower() == name.lower():
+        return entry
+    for entry in self._content.constructions:
+      if entry.name.lower() == name.lower():
+        return entry
+    for entry in self._content.materials:
+      if entry.name.lower() == name.lower():
+        return entry
+    for entry in self._content.windows:
+      if entry.name.lower() == name.lower():
+        return entry
+    raise IndexError(f"{name} doesn't exists in the catalog")

hub/catalog_factories/construction_catalog_factory.py

@@ -11,6 +11,7 @@ from typing import TypeVar
 from hub.catalog_factories.construction.nrcan_catalog import NrcanCatalog
 from hub.catalog_factories.construction.nrel_catalog import NrelCatalog
 from hub.catalog_factories.construction.eilat_catalog import EilatCatalog
+from hub.catalog_factories.construction.palma_catalog import PalmaCatalog
 from hub.helpers.utils import validate_import_export_type
 
 Catalog = TypeVar('Catalog')
@@ -48,6 +49,13 @@ class ConstructionCatalogFactory:
     """
     return EilatCatalog(self._path)
 
+  @property
+  def _palma(self):
+    """
+    Retrieve Palma catalog
+    """
+    return PalmaCatalog(self._path)
+
   @property
   def catalog(self) -> Catalog:
     """

hub/catalog_factories/data_models/construction/archetype.py

@@ -23,7 +23,10 @@ class Archetype:
                extra_loses_due_to_thermal_bridges,
                indirect_heated_ratio,
                infiltration_rate_for_ventilation_system_off,
-               infiltration_rate_for_ventilation_system_on):
+               infiltration_rate_for_ventilation_system_on,
+               infiltration_rate_area_for_ventilation_system_off,
+               infiltration_rate_area_for_ventilation_system_on
+               ):
     self._id = archetype_id
     self._name = name
     self._function = function
@@ -36,6 +39,8 @@ class Archetype:
     self._indirect_heated_ratio = indirect_heated_ratio
     self._infiltration_rate_for_ventilation_system_off = infiltration_rate_for_ventilation_system_off
     self._infiltration_rate_for_ventilation_system_on = infiltration_rate_for_ventilation_system_on
+    self._infiltration_rate_area_for_ventilation_system_off = infiltration_rate_area_for_ventilation_system_off
+    self._infiltration_rate_area_for_ventilation_system_on = infiltration_rate_area_for_ventilation_system_on
 
   @property
   def id(self):
@@ -133,6 +138,22 @@ class Archetype:
     """
     return self._infiltration_rate_for_ventilation_system_on
 
+  @property
+  def infiltration_rate_area_for_ventilation_system_off(self):
+    """
+    Get archetype infiltration rate for ventilation system off in m3/sm2
+    :return: float
+    """
+    return self._infiltration_rate_area_for_ventilation_system_off
+
+  @property
+  def infiltration_rate_area_for_ventilation_system_on(self):
+    """
+    Get archetype infiltration rate for ventilation system on in m3/sm2
+    :return: float
+    """
+    return self._infiltration_rate_for_ventilation_system_on
+
   def to_dictionary(self):
     """Class content to dictionary"""
     _constructions = []
@@ -149,6 +170,8 @@ class Archetype:
                              'indirect heated ratio': self.indirect_heated_ratio,
                              'infiltration rate for ventilation off [1/s]': self.infiltration_rate_for_ventilation_system_off,
                              'infiltration rate for ventilation on [1/s]': self.infiltration_rate_for_ventilation_system_on,
+                             'infiltration rate area for ventilation off [m3/sm2]': self.infiltration_rate_area_for_ventilation_system_off,
+                             'infiltration rate area for ventilation on [m3/sm2]': self.infiltration_rate_area_for_ventilation_system_on,
                              'constructions': _constructions
                              }
                }

hub/catalog_factories/data_models/energy_systems/archetype.py

@@ -15,11 +15,20 @@ class Archetype:
   """
   Archetype class
   """
-  def __init__(self, name, systems):
 
+  def __init__(self, name, systems, archetype_cluster_id=None):
+    self._cluster_id = archetype_cluster_id
     self._name = name
     self._systems = systems
 
+  @property
+  def cluster_id(self):
+    """
+    Get id
+    :return: string
+    """
+    return self._cluster_id
+
   @property
   def name(self):
     """
@@ -43,6 +52,7 @@ class Archetype:
       _systems.append(_system.to_dictionary())
     content = {
       'Archetype': {
+        'cluster_id': self.cluster_id,
         'name': self.name,
         'systems': _systems
       }

hub/catalog_factories/data_models/energy_systems/pv_generation_system.py

@@ -17,8 +17,9 @@ class PvGenerationSystem(GenerationSystem):
   def __init__(self, system_id, name, system_type, model_name=None, manufacturer=None, electricity_efficiency=None,
                nominal_electricity_output=None, nominal_ambient_temperature=None, nominal_cell_temperature=None,
                nominal_radiation=None, standard_test_condition_cell_temperature=None,
-               standard_test_condition_maximum_power=None, cell_temperature_coefficient=None, width=None, height=None,
-               distribution_systems=None, energy_storage_systems=None):
+               standard_test_condition_maximum_power=None, standard_test_condition_radiation=None,
+               cell_temperature_coefficient=None, width=None, height=None, distribution_systems=None,
+               energy_storage_systems=None):
     super().__init__(system_id=system_id, name=name, model_name=model_name,
                      manufacturer=manufacturer, fuel_type='renewable', distribution_systems=distribution_systems,
                      energy_storage_systems=energy_storage_systems)
@@ -30,6 +31,7 @@ class PvGenerationSystem(GenerationSystem):
     self._nominal_radiation = nominal_radiation
     self._standard_test_condition_cell_temperature = standard_test_condition_cell_temperature
     self._standard_test_condition_maximum_power = standard_test_condition_maximum_power
+    self._standard_test_condition_radiation = standard_test_condition_radiation
     self._cell_temperature_coefficient = cell_temperature_coefficient
     self._width = width
     self._height = height
@@ -98,6 +100,15 @@ class PvGenerationSystem(GenerationSystem):
     """
     return self._standard_test_condition_maximum_power
 
+  @property
+  def standard_test_condition_radiation(self):
+    """
+    Get standard test condition cell temperature of PV panels in W/m2
+    :return: float
+    """
+    return self._standard_test_condition_radiation
+
+
   @property
   def cell_temperature_coefficient(self):
     """
@@ -143,6 +154,7 @@ class PvGenerationSystem(GenerationSystem):
         'nominal radiation [W/m2]': self.nominal_radiation,
         'standard test condition cell temperature [Celsius]': self.standard_test_condition_cell_temperature,
         'standard test condition maximum power [W]': self.standard_test_condition_maximum_power,
+        'standard test condition radiation [W/m2]': self.standard_test_condition_radiation,
         'cell temperature coefficient': self.cell_temperature_coefficient,
         'width': self.width,
         'height': self.height,

hub/catalog_factories/data_models/energy_systems/thermal_storage_system.py

@@ -119,7 +119,7 @@ class ThermalStorageSystem(EnergyStorageSystem):
         'height [m]': self.height,
         'layers': _layers,
         'maximum operating temperature [Celsius]': self.maximum_operating_temperature,
-        'storage_medium': self.storage_medium.to_dictionary(),
+        'storage_medium': _medias,
         'heating coil capacity [W]': self.heating_coil_capacity
       }
     }

hub/catalog_factories/energy_systems/montreal_custom_catalog.py

@@ -69,10 +69,10 @@ class MontrealCustomCatalog(Catalog):
           storage_system = ThermalStorageSystem(equipment_id)
         storage_systems = [storage_system]
       if model_name == 'PV system':
-        system_type = 'Photovoltaic'
+        system_type = 'photovoltaic'
         generation_system = PvGenerationSystem(equipment_id,
                                                name=None,
-                                               system_type= system_type,
+                                               system_type=system_type,
                                                model_name=model_name,
                                                electricity_efficiency=electricity_efficiency,
                                                energy_storage_systems=storage_systems

hub/catalog_factories/energy_systems/montreal_future_system_catalogue.py

@@ -30,7 +30,8 @@ class MontrealFutureSystemCatalogue(Catalog):
     path = str(path / 'montreal_future_systems.xml')
     with open(path, 'r', encoding='utf-8') as xml:
       self._archetypes = xmltodict.parse(xml.read(),
-                                         force_list=['pv_generation_component', 'templateStorages', 'demand'])
+                                         force_list=['pv_generation_component', 'templateStorages', 'demand',
+                                                     'system', 'system_id'])
 
     self._storage_components = self._load_storage_components()
     self._generation_components = self._load_generation_components()
@@ -49,7 +50,7 @@ class MontrealFutureSystemCatalogue(Catalog):
       'non_pv_generation_component']
     if non_pv_generation_components is not None:
       for non_pv in non_pv_generation_components:
-        system_id = non_pv['system_id']
+        system_id = non_pv['generation_system_id']
         name = non_pv['name']
         system_type = non_pv['system_type']
         model_name = non_pv['model_name']
@@ -181,7 +182,7 @@ class MontrealFutureSystemCatalogue(Catalog):
       'pv_generation_component']
     if pv_generation_components is not None:
       for pv in pv_generation_components:
-        system_id = pv['system_id']
+        system_id = pv['generation_system_id']
         name = pv['name']
         system_type = pv['system_type']
         model_name = pv['model_name']
@@ -193,6 +194,7 @@ class MontrealFutureSystemCatalogue(Catalog):
         nominal_radiation = pv['nominal_radiation']
         standard_test_condition_cell_temperature = pv['standard_test_condition_cell_temperature']
         standard_test_condition_maximum_power = pv['standard_test_condition_maximum_power']
+        standard_test_condition_radiation = pv['standard_test_condition_radiation']
         cell_temperature_coefficient = pv['cell_temperature_coefficient']
         width = pv['width']
         height = pv['height']
@@ -215,6 +217,7 @@ class MontrealFutureSystemCatalogue(Catalog):
                                           standard_test_condition_cell_temperature=
                                           standard_test_condition_cell_temperature,
                                           standard_test_condition_maximum_power=standard_test_condition_maximum_power,
+                                          standard_test_condition_radiation=standard_test_condition_radiation,
                                           cell_temperature_coefficient=cell_temperature_coefficient,
                                           width=width,
                                           height=height,
@@ -379,6 +382,7 @@ class MontrealFutureSystemCatalogue(Catalog):
     _system_archetypes = []
     system_clusters = self._archetypes['EnergySystemCatalog']['system_archetypes']['system_archetype']
     for system_cluster in system_clusters:
+      archetype_id = system_cluster['@cluster_id']
       name = system_cluster['name']
       systems = system_cluster['systems']['system_id']
       integer_system_ids = [int(item) for item in systems]
@@ -386,7 +390,7 @@ class MontrealFutureSystemCatalogue(Catalog):
       for system_archetype in self._systems:
         if int(system_archetype.id) in integer_system_ids:
           _systems.append(system_archetype)
-      _system_archetypes.append(Archetype(name=name, systems=_systems))
+      _system_archetypes.append(Archetype(archetype_cluster_id=archetype_id, name=name, systems=_systems))
     return _system_archetypes
 
   def _load_materials(self):

hub/catalog_factories/energy_systems/palma_system_catalgue.py

@@ -0,0 +1,520 @@
+"""
+Palma energy system catalog
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Saeed Ranjbar saeed.ranjbar@concordia.ca
+"""
+
+import xmltodict
+from pathlib import Path
+from hub.catalog_factories.catalog import Catalog
+from hub.catalog_factories.data_models.energy_systems.distribution_system import DistributionSystem
+from hub.catalog_factories.data_models.energy_systems.emission_system import EmissionSystem
+from hub.catalog_factories.data_models.energy_systems.system import System
+from hub.catalog_factories.data_models.energy_systems.content import Content
+from hub.catalog_factories.data_models.energy_systems.non_pv_generation_system import NonPvGenerationSystem
+from hub.catalog_factories.data_models.energy_systems.pv_generation_system import PvGenerationSystem
+from hub.catalog_factories.data_models.energy_systems.thermal_storage_system import ThermalStorageSystem
+from hub.catalog_factories.data_models.energy_systems.performance_curves import PerformanceCurves
+from hub.catalog_factories.data_models.energy_systems.archetype import Archetype
+from hub.catalog_factories.data_models.construction.material import Material
+from hub.catalog_factories.data_models.construction.layer import Layer
+
+
+class PalmaSystemCatalogue(Catalog):
+  """
+  North america energy system catalog class
+  """
+
+  def __init__(self, path):
+    path = str(path / 'palma_systems.xml')
+    with open(path, 'r', encoding='utf-8') as xml:
+      self._archetypes = xmltodict.parse(xml.read(),
+                                         force_list=['pv_generation_component', 'demand'])
+
+    self._storage_components = self._load_storage_components()
+    self._generation_components = self._load_generation_components()
+    self._energy_emission_components = self._load_emission_equipments()
+    self._distribution_components = self._load_distribution_equipments()
+    self._systems = self._load_systems()
+    self._system_archetypes = self._load_archetypes()
+    self._content = Content(self._system_archetypes,
+                            self._systems,
+                            generations=self._generation_components,
+                            distributions=self._distribution_components)
+
+  def _load_generation_components(self):
+    generation_components = []
+    non_pv_generation_components = self._archetypes['EnergySystemCatalog']['energy_generation_components'][
+      'non_pv_generation_component']
+    if non_pv_generation_components is not None:
+      for non_pv in non_pv_generation_components:
+        system_id = non_pv['system_id']
+        name = non_pv['name']
+        system_type = non_pv['system_type']
+        model_name = non_pv['model_name']
+        manufacturer = non_pv['manufacturer']
+        fuel_type = non_pv['fuel_type']
+        distribution_systems = non_pv['distribution_systems']
+        energy_storage_systems = None
+        if non_pv['energy_storage_systems'] is not None:
+          storage_component = non_pv['energy_storage_systems']['storage_id']
+          storage_systems = self._search_storage_equipment(self._load_storage_components(), storage_component)
+          energy_storage_systems = storage_systems
+        nominal_heat_output = non_pv['nominal_heat_output']
+        maximum_heat_output = non_pv['maximum_heat_output']
+        minimum_heat_output = non_pv['minimum_heat_output']
+        source_medium = non_pv['source_medium']
+        supply_medium = non_pv['supply_medium']
+        heat_efficiency = non_pv['heat_efficiency']
+        nominal_cooling_output = non_pv['nominal_cooling_output']
+        maximum_cooling_output = non_pv['maximum_cooling_output']
+        minimum_cooling_output = non_pv['minimum_cooling_output']
+        cooling_efficiency = non_pv['cooling_efficiency']
+        electricity_efficiency = non_pv['electricity_efficiency']
+        source_temperature = non_pv['source_temperature']
+        source_mass_flow = non_pv['source_mass_flow']
+        nominal_electricity_output = non_pv['nominal_electricity_output']
+        maximum_heat_supply_temperature = non_pv['maximum_heat_supply_temperature']
+        minimum_heat_supply_temperature = non_pv['minimum_heat_supply_temperature']
+        maximum_cooling_supply_temperature = non_pv['maximum_cooling_supply_temperature']
+        minimum_cooling_supply_temperature = non_pv['minimum_cooling_supply_temperature']
+        heat_output_curve = None
+        heat_fuel_consumption_curve = None
+        heat_efficiency_curve = None
+        cooling_output_curve = None
+        cooling_fuel_consumption_curve = None
+        cooling_efficiency_curve = None
+        if non_pv['heat_output_curve'] is not None:
+          curve_type = non_pv['heat_output_curve']['curve_type']
+          dependant_variable = non_pv['heat_output_curve']['dependant_variable']
+          parameters = non_pv['heat_output_curve']['parameters']
+          coefficients = list(non_pv['heat_output_curve']['coefficients'].values())
+          heat_output_curve = PerformanceCurves(curve_type, dependant_variable, parameters, coefficients)
+        if non_pv['heat_fuel_consumption_curve'] is not None:
+          curve_type = non_pv['heat_fuel_consumption_curve']['curve_type']
+          dependant_variable = non_pv['heat_fuel_consumption_curve']['dependant_variable']
+          parameters = non_pv['heat_fuel_consumption_curve']['parameters']
+          coefficients = list(non_pv['heat_fuel_consumption_curve']['coefficients'].values())
+          heat_fuel_consumption_curve = PerformanceCurves(curve_type, dependant_variable, parameters, coefficients)
+        if non_pv['heat_efficiency_curve'] is not None:
+          curve_type = non_pv['heat_efficiency_curve']['curve_type']
+          dependant_variable = non_pv['heat_efficiency_curve']['dependant_variable']
+          parameters = non_pv['heat_efficiency_curve']['parameters']
+          coefficients = list(non_pv['heat_efficiency_curve']['coefficients'].values())
+          heat_efficiency_curve = PerformanceCurves(curve_type, dependant_variable, parameters, coefficients)
+        if non_pv['cooling_output_curve'] is not None:
+          curve_type = non_pv['cooling_output_curve']['curve_type']
+          dependant_variable = non_pv['cooling_output_curve']['dependant_variable']
+          parameters = non_pv['cooling_output_curve']['parameters']
+          coefficients = list(non_pv['cooling_output_curve']['coefficients'].values())
+          cooling_output_curve = PerformanceCurves(curve_type, dependant_variable, parameters, coefficients)
+        if non_pv['cooling_fuel_consumption_curve'] is not None:
+          curve_type = non_pv['cooling_fuel_consumption_curve']['curve_type']
+          dependant_variable = non_pv['cooling_fuel_consumption_curve']['dependant_variable']
+          parameters = non_pv['cooling_fuel_consumption_curve']['parameters']
+          coefficients = list(non_pv['cooling_fuel_consumption_curve']['coefficients'].values())
+          cooling_fuel_consumption_curve = PerformanceCurves(curve_type, dependant_variable, parameters, coefficients)
+        if non_pv['cooling_efficiency_curve'] is not None:
+          curve_type = non_pv['cooling_efficiency_curve']['curve_type']
+          dependant_variable = non_pv['cooling_efficiency_curve']['dependant_variable']
+          parameters = non_pv['cooling_efficiency_curve']['parameters']
+          coefficients = list(non_pv['cooling_efficiency_curve']['coefficients'].values())
+          cooling_efficiency_curve = PerformanceCurves(curve_type, dependant_variable, parameters, coefficients)
+        dhw = None
+        if non_pv['domestic_hot_water'] is not None:
+          if non_pv['domestic_hot_water'] == 'True':
+            dhw = True
+          else:
+            dhw = False
+
+        reversible = None
+        if non_pv['reversible'] is not None:
+          if non_pv['reversible'] == 'True':
+            reversible = True
+          else:
+            reversible = False
+
+        dual_supply = None
+        if non_pv['simultaneous_heat_cold'] is not None:
+          if non_pv['simultaneous_heat_cold'] == 'True':
+            dual_supply = True
+          else:
+            dual_supply = False
+        non_pv_component = NonPvGenerationSystem(system_id=system_id,
+                                                 name=name,
+                                                 system_type=system_type,
+                                                 model_name=model_name,
+                                                 manufacturer=manufacturer,
+                                                 fuel_type=fuel_type,
+                                                 nominal_heat_output=nominal_heat_output,
+                                                 maximum_heat_output=maximum_heat_output,
+                                                 minimum_heat_output=minimum_heat_output,
+                                                 source_medium=source_medium,
+                                                 supply_medium=supply_medium,
+                                                 heat_efficiency=heat_efficiency,
+                                                 nominal_cooling_output=nominal_cooling_output,
+                                                 maximum_cooling_output=maximum_cooling_output,
+                                                 minimum_cooling_output=minimum_cooling_output,
+                                                 cooling_efficiency=cooling_efficiency,
+                                                 electricity_efficiency=electricity_efficiency,
+                                                 source_temperature=source_temperature,
+                                                 source_mass_flow=source_mass_flow,
+                                                 nominal_electricity_output=nominal_electricity_output,
+                                                 maximum_heat_supply_temperature=maximum_heat_supply_temperature,
+                                                 minimum_heat_supply_temperature=minimum_heat_supply_temperature,
+                                                 maximum_cooling_supply_temperature=maximum_cooling_supply_temperature,
+                                                 minimum_cooling_supply_temperature=minimum_cooling_supply_temperature,
+                                                 heat_output_curve=heat_output_curve,
+                                                 heat_fuel_consumption_curve=heat_fuel_consumption_curve,
+                                                 heat_efficiency_curve=heat_efficiency_curve,
+                                                 cooling_output_curve=cooling_output_curve,
+                                                 cooling_fuel_consumption_curve=cooling_fuel_consumption_curve,
+                                                 cooling_efficiency_curve=cooling_efficiency_curve,
+                                                 distribution_systems=distribution_systems,
+                                                 energy_storage_systems=energy_storage_systems,
+                                                 domestic_hot_water=dhw,
+                                                 reversible=reversible,
+                                                 simultaneous_heat_cold=dual_supply)
+        generation_components.append(non_pv_component)
+    pv_generation_components = self._archetypes['EnergySystemCatalog']['energy_generation_components'][
+      'pv_generation_component']
+    if pv_generation_components is not None:
+      for pv in pv_generation_components:
+        system_id = pv['system_id']
+        name = pv['name']
+        system_type = pv['system_type']
+        model_name = pv['model_name']
+        manufacturer = pv['manufacturer']
+        electricity_efficiency = pv['electricity_efficiency']
+        nominal_electricity_output = pv['nominal_electricity_output']
+        nominal_ambient_temperature = pv['nominal_ambient_temperature']
+        nominal_cell_temperature = pv['nominal_cell_temperature']
+        nominal_radiation = pv['nominal_radiation']
+        standard_test_condition_cell_temperature = pv['standard_test_condition_cell_temperature']
+        standard_test_condition_maximum_power = pv['standard_test_condition_maximum_power']
+        standard_test_condition_radiation = pv['standard_test_condition_radiation']
+        cell_temperature_coefficient = pv['cell_temperature_coefficient']
+        width = pv['width']
+        height = pv['height']
+        distribution_systems = pv['distribution_systems']
+        energy_storage_systems = None
+        if pv['energy_storage_systems'] is not None:
+          storage_component = pv['energy_storage_systems']['storage_id']
+          storage_systems = self._search_storage_equipment(self._load_storage_components(), storage_component)
+          energy_storage_systems = storage_systems
+        pv_component = PvGenerationSystem(system_id=system_id,
+                                          name=name,
+                                          system_type=system_type,
+                                          model_name=model_name,
+                                          manufacturer=manufacturer,
+                                          electricity_efficiency=electricity_efficiency,
+                                          nominal_electricity_output=nominal_electricity_output,
+                                          nominal_ambient_temperature=nominal_ambient_temperature,
+                                          nominal_cell_temperature=nominal_cell_temperature,
+                                          nominal_radiation=nominal_radiation,
+                                          standard_test_condition_cell_temperature=
+                                          standard_test_condition_cell_temperature,
+                                          standard_test_condition_maximum_power=standard_test_condition_maximum_power,
+                                          standard_test_condition_radiation=standard_test_condition_radiation,
+                                          cell_temperature_coefficient=cell_temperature_coefficient,
+                                          width=width,
+                                          height=height,
+                                          distribution_systems=distribution_systems,
+                                          energy_storage_systems=energy_storage_systems)
+        generation_components.append(pv_component)
+
+    return generation_components
+
+  def _load_distribution_equipments(self):
+    _equipments = []
+    distribution_systems = self._archetypes['EnergySystemCatalog']['distribution_systems']['distribution_system']
+    if distribution_systems is not None:
+      for distribution_system in distribution_systems:
+        system_id = None
+        model_name = None
+        system_type = None
+        supply_temperature = None
+        distribution_consumption_fix_flow = None
+        distribution_consumption_variable_flow = None
+        heat_losses = None
+        generation_systems = None
+        energy_storage_systems = None
+        emission_systems = None
+        distribution_equipment = DistributionSystem(system_id=system_id,
+                                                    model_name=model_name,
+                                                    system_type=system_type,
+                                                    supply_temperature=supply_temperature,
+                                                    distribution_consumption_fix_flow=distribution_consumption_fix_flow,
+                                                    distribution_consumption_variable_flow=
+                                                    distribution_consumption_variable_flow,
+                                                    heat_losses=heat_losses,
+                                                    generation_systems=generation_systems,
+                                                    energy_storage_systems=energy_storage_systems,
+                                                    emission_systems=emission_systems
+                                                    )
+        _equipments.append(distribution_equipment)
+    return _equipments
+
+  def _load_emission_equipments(self):
+    _equipments = []
+    dissipation_systems = self._archetypes['EnergySystemCatalog']['dissipation_systems']['dissipation_system']
+    if dissipation_systems is not None:
+      for dissipation_system in dissipation_systems:
+        system_id = None
+        model_name = None
+        system_type = None
+        parasitic_energy_consumption = 0
+        emission_system = EmissionSystem(system_id=system_id,
+                                         model_name=model_name,
+                                         system_type=system_type,
+                                         parasitic_energy_consumption=parasitic_energy_consumption)
+        _equipments.append(emission_system)
+    return _equipments
+
+  def _load_storage_components(self):
+    storage_components = []
+    thermal_storages = self._archetypes['EnergySystemCatalog']['energy_storage_components']['thermalStorages']
+    for tes in thermal_storages:
+      storage_id = tes['storage_id']
+      type_energy_stored = tes['type_energy_stored']
+      model_name = tes['model_name']
+      manufacturer = tes['manufacturer']
+      storage_type = tes['storage_type']
+      volume = tes['physical_characteristics']['volume']
+      height = tes['physical_characteristics']['height']
+      maximum_operating_temperature = tes['maximum_operating_temperature']
+      materials = self._load_materials()
+      insulation_material_id = tes['insulation']['material_id']
+      insulation_material = self._search_material(materials, insulation_material_id)
+      material_id = tes['physical_characteristics']['material_id']
+      tank_material = self._search_material(materials, material_id)
+      thickness = float(tes['insulation']['insulationThickness']) / 100  # from cm to m
+      insulation_layer = Layer(None, 'insulation', insulation_material, thickness)
+      thickness = float(tes['physical_characteristics']['tankThickness']) / 100  # from cm to m
+      tank_layer = Layer(None, 'tank', tank_material, thickness)
+      media = self._load_media()
+      media_id = tes['storage_medium']['medium_id']
+      medium = self._search_media(media, media_id)
+      layers = [insulation_layer, tank_layer]
+      nominal_capacity = tes['nominal_capacity']
+      losses_ratio = tes['losses_ratio']
+      heating_coil_capacity = tes['heating_coil_capacity']
+      storage_component = ThermalStorageSystem(storage_id=storage_id,
+                                               model_name=model_name,
+                                               type_energy_stored=type_energy_stored,
+                                               manufacturer=manufacturer,
+                                               storage_type=storage_type,
+                                               nominal_capacity=nominal_capacity,
+                                               losses_ratio=losses_ratio,
+                                               volume=volume,
+                                               height=height,
+                                               layers=layers,
+                                               maximum_operating_temperature=maximum_operating_temperature,
+                                               storage_medium=medium,
+                                               heating_coil_capacity=heating_coil_capacity)
+      storage_components.append(storage_component)
+    return storage_components
+
+  def _load_systems(self):
+    base_path = Path(Path(__file__).parent.parent.parent / 'data/energy_systems')
+    _catalog_systems = []
+    systems = self._archetypes['EnergySystemCatalog']['systems']['system']
+    for system in systems:
+      system_id = system['id']
+      name = system['name']
+      demands = system['demands']['demand']
+      generation_components = system['components']['generation_id']
+      generation_systems = self._search_generation_equipment(self._load_generation_components(), generation_components)
+      configuration_schema = None
+      if system['schema'] is not None:
+        configuration_schema = Path(base_path / system['schema'])
+      energy_system = System(system_id=system_id,
+                             name=name,
+                             demand_types=demands,
+                             generation_systems=generation_systems,
+                             distribution_systems=None,
+                             configuration_schema=configuration_schema)
+      _catalog_systems.append(energy_system)
+    return _catalog_systems
+
+  def _load_archetypes(self):
+    _system_archetypes = []
+    system_clusters = self._archetypes['EnergySystemCatalog']['system_archetypes']['system_archetype']
+    for system_cluster in system_clusters:
+      name = system_cluster['name']
+      systems = system_cluster['systems']['system_id']
+      integer_system_ids = [int(item) for item in systems]
+      _systems = []
+      for system_archetype in self._systems:
+        if int(system_archetype.id) in integer_system_ids:
+          _systems.append(system_archetype)
+      _system_archetypes.append(Archetype(name=name, systems=_systems))
+    return _system_archetypes
+
+  def _load_materials(self):
+    materials = []
+    _materials = self._archetypes['EnergySystemCatalog']['materials']['material']
+    for _material in _materials:
+      material_id = _material['material_id']
+      name = _material['name']
+      conductivity = _material['conductivity']
+      solar_absorptance = _material['solar_absorptance']
+      thermal_absorptance = _material['thermal_absorptance']
+      density = _material['density']
+      specific_heat = _material['specific_heat']
+      no_mass = _material['no_mass']
+      visible_absorptance = _material['visible_absorptance']
+      thermal_resistance = _material['thermal_resistance']
+
+      material = Material(material_id,
+                          name,
+                          solar_absorptance=solar_absorptance,
+                          thermal_absorptance=thermal_absorptance,
+                          density=density,
+                          conductivity=conductivity,
+                          thermal_resistance=thermal_resistance,
+                          visible_absorptance=visible_absorptance,
+                          no_mass=no_mass,
+                          specific_heat=specific_heat)
+      materials.append(material)
+    return materials
+
+  @staticmethod
+  def _search_material(materials, material_id):
+    _material = None
+    for material in materials:
+      if int(material.id) == int(material_id):
+        _material = material
+        break
+    if _material is None:
+      raise ValueError(f'Material with the id = [{material_id}] not found in catalog ')
+    return _material
+
+  def _load_media(self):
+    media = []
+    _media = [self._archetypes['EnergySystemCatalog']['media']['medium']]
+    for _medium in _media:
+      medium_id = _medium['medium_id']
+      density = _medium['density']
+      name = _medium['name']
+      conductivity = _medium['conductivity']
+      solar_absorptance = _medium['solar_absorptance']
+      thermal_absorptance = _medium['thermal_absorptance']
+      specific_heat = _medium['specific_heat']
+      no_mass = _medium['no_mass']
+      visible_absorptance = _medium['visible_absorptance']
+      thermal_resistance = _medium['thermal_resistance']
+      medium = Material(material_id=medium_id,
+                        name=name,
+                        solar_absorptance=solar_absorptance,
+                        thermal_absorptance=thermal_absorptance,
+                        visible_absorptance=visible_absorptance,
+                        no_mass=no_mass,
+                        thermal_resistance=thermal_resistance,
+                        conductivity=conductivity,
+                        density=density,
+                        specific_heat=specific_heat)
+      media.append(medium)
+    return media
+
+  @staticmethod
+  def _search_media(media, medium_id):
+    _medium = None
+    for medium in media:
+      if int(medium.id) == int(medium_id):
+        _medium = medium
+        break
+    if _medium is None:
+      raise ValueError(f'media with the id = [{medium_id}] not found in catalog ')
+    return _medium
+
+  @staticmethod
+  def _search_generation_equipment(generation_systems, generation_id):
+    _generation_systems = []
+
+    if isinstance(generation_id, list):
+      integer_ids = [int(item) for item in generation_id]
+      for generation in generation_systems:
+        if int(generation.id) in integer_ids:
+          _generation_systems.append(generation)
+    else:
+      integer_id = int(generation_id)
+      for generation in generation_systems:
+        if int(generation.id) == integer_id:
+          _generation_systems.append(generation)
+
+    if len(_generation_systems) == 0:
+      _generation_systems = None
+      raise ValueError(f'The system with the following id is not found in catalog [{generation_id}]')
+    return _generation_systems
+
+  @staticmethod
+  def _search_storage_equipment(storage_systems, storage_id):
+    _storage_systems = []
+    for storage in storage_systems:
+      if storage.id in storage_id:
+        _storage_systems.append(storage)
+    if len(_storage_systems) == 0:
+      _storage_systems = None
+      raise ValueError(f'The system with the following id is not found in catalog [{storage_id}]')
+    return _storage_systems
+
+  def names(self, category=None):
+    """
+    Get the catalog elements names
+    :parm: optional category filter
+    """
+    if category is None:
+      _names = {'archetypes': [], 'systems': [], 'generation_equipments': [], 'storage_equipments': []}
+      for archetype in self._content.archetypes:
+        _names['archetypes'].append(archetype.name)
+      for system in self._content.systems:
+        _names['systems'].append(system.name)
+      for equipment in self._content.generation_equipments:
+        _names['generation_equipments'].append(equipment.name)
+    else:
+      _names = {category: []}
+      if category.lower() == 'archetypes':
+        for archetype in self._content.archetypes:
+          _names[category].append(archetype.name)
+      elif category.lower() == 'systems':
+        for system in self._content.systems:
+          _names[category].append(system.name)
+      elif category.lower() == 'generation_equipments':
+        for system in self._content.generation_equipments:
+          _names[category].append(system.name)
+      else:
+        raise ValueError(f'Unknown category [{category}]')
+    return _names
+
+  def entries(self, category=None):
+    """
+    Get the catalog elements
+    :parm: optional category filter
+    """
+    if category is None:
+      return self._content
+    if category.lower() == 'archetypes':
+      return self._content.archetypes
+    if category.lower() == 'systems':
+      return self._content.systems
+    if category.lower() == 'generation_equipments':
+      return self._content.generation_equipments
+    raise ValueError(f'Unknown category [{category}]')
+
+  def get_entry(self, name):
+    """
+    Get one catalog element by names
+    :parm: entry name
+    """
+    for entry in self._content.archetypes:
+      if entry.name.lower() == name.lower():
+        return entry
+    for entry in self._content.systems:
+      if entry.name.lower() == name.lower():
+        return entry
+    for entry in self._content.generation_equipments:
+      if entry.name.lower() == name.lower():
+        return entry
+    raise IndexError(f"{name} doesn't exists in the catalog")

hub/catalog_factories/energy_systems_catalog_factory.py

@@ -10,6 +10,7 @@ from typing import TypeVar
 
 from hub.catalog_factories.energy_systems.montreal_custom_catalog import MontrealCustomCatalog
 from hub.catalog_factories.energy_systems.montreal_future_system_catalogue import MontrealFutureSystemCatalogue
+from hub.catalog_factories.energy_systems.palma_system_catalgue import PalmaSystemCatalogue
 from hub.helpers.utils import validate_import_export_type
 
 Catalog = TypeVar('Catalog')
@@ -40,6 +41,13 @@ class EnergySystemsCatalogFactory:
     """
     return MontrealFutureSystemCatalogue(self._path)
 
+  @property
+  def _palma(self):
+    """
+    Retrieve Palma catalog
+    """
+    return PalmaSystemCatalogue(self._path)
+
   @property
   def catalog(self) -> Catalog:
     """

hub/catalog_factories/usage/palma_catalog.py

@@ -0,0 +1,227 @@
+"""
+Palma usage catalog
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Cecilia Pérez cperez@irec.cat
+"""
+
+import json
+import urllib.request
+from pathlib import Path
+
+import xmltodict
+
+import hub.helpers.constants as cte
+from hub.catalog_factories.catalog import Catalog
+from hub.catalog_factories.data_models.usages.appliances import Appliances
+from hub.catalog_factories.data_models.usages.content import Content
+from hub.catalog_factories.data_models.usages.lighting import Lighting
+from hub.catalog_factories.data_models.usages.occupancy import Occupancy
+from hub.catalog_factories.data_models.usages.domestic_hot_water import DomesticHotWater
+from hub.catalog_factories.data_models.usages.schedule import Schedule
+from hub.catalog_factories.data_models.usages.thermal_control import ThermalControl
+from hub.catalog_factories.data_models.usages.usage import Usage
+from hub.catalog_factories.usage.usage_helper import UsageHelper
+
+
+class PalmaCatalog(Catalog):
+  """
+  Palma catalog class
+  """
+  def __init__(self, path):
+    self._schedules_path = Path(path / 'palma_schedules.json').resolve()
+    self._space_types_path = Path(path / 'palma_space_types.json').resolve()
+    self._space_compliance_path = Path(path / 'palma_space_compliance.json').resolve()
+    self._content = None
+    self._schedules = {}
+    self._load_schedules()
+    self._content = Content(self._load_archetypes())
+
+  @staticmethod
+  def _extract_schedule(raw):
+    nrcan_schedule_type = raw['category']
+    if 'Heating' in raw['name'] and 'Water' not in raw['name']:
+      nrcan_schedule_type = f'{nrcan_schedule_type} Heating'
+    elif 'Cooling' in raw['name']:
+      nrcan_schedule_type = f'{nrcan_schedule_type} Cooling'
+    if nrcan_schedule_type not in UsageHelper().nrcan_schedule_type_to_hub_schedule_type:
+      return None
+    hub_type = UsageHelper().nrcan_schedule_type_to_hub_schedule_type[nrcan_schedule_type]
+    data_type = UsageHelper().nrcan_data_type_to_hub_data_type[raw['units']]
+    time_step = UsageHelper().nrcan_time_to_hub_time[raw['type']]
+    # nrcan only uses daily range for the schedules
+    time_range = cte.DAY
+    day_types = UsageHelper().nrcan_day_type_to_hub_days[raw['day_types']]
+    return Schedule(hub_type, raw['values'], data_type, time_step, time_range, day_types)
+
+  def _load_schedules(self):
+    _schedule_types = []
+    with open(self._schedules_path, 'r') as f:
+      schedules_type = json.load(f)
+    for schedule_type in schedules_type['tables']['schedules']['table']:
+      schedule = PalmaCatalog._extract_schedule(schedule_type)
+      if schedule_type['name'] not in _schedule_types:
+        _schedule_types.append(schedule_type['name'])
+        if schedule is not None:
+          self._schedules[schedule_type['name']] = [schedule]
+      else:
+        if schedule is not None:
+          _schedules = self._schedules[schedule_type['name']]
+          _schedules.append(schedule)
+          self._schedules[schedule_type['name']] = _schedules
+
+  def _get_schedules(self, name):
+    schedule = None
+    if name in self._schedules:
+      schedule = self._schedules[name]
+    return schedule
+
+  def _load_archetypes(self):
+    usages = []
+    with open(self._space_types_path, 'r') as f:
+      space_types = json.load(f)['tables']['space_types']['table']
+    space_types = [st for st in space_types if st['space_type'] == 'WholeBuilding']
+    with open(self._space_compliance_path, 'r') as f:
+      space_types_compliance = json.load(f)['tables']['space_compliance']['table']
+    space_types_compliance = [st for st in space_types_compliance if st['space_type'] == 'WholeBuilding']
+    space_types_dictionary = {}
+    for space_type in space_types_compliance:
+      usage_type = space_type['building_type']
+      # people/m2
+      occupancy_density = space_type['occupancy_per_area_people_per_m2']
+      # W/m2
+      lighting_density = space_type['lighting_per_area_w_per_m2']
+      # W/m2
+      appliances_density = space_type['electric_equipment_per_area_w_per_m2']
+      # peak flow in gallons/h/m2
+      domestic_hot_water_peak_flow = (
+          space_type['service_water_heating_peak_flow_per_area'] *
+          cte.GALLONS_TO_QUBIC_METERS / cte.HOUR_TO_SECONDS
+      )
+      space_types_dictionary[usage_type] = {'occupancy_per_area': occupancy_density,
+                                            'lighting_per_area': lighting_density,
+                                            'electric_equipment_per_area': appliances_density,
+                                            'service_water_heating_peak_flow_per_area': domestic_hot_water_peak_flow
+                                            }
+
+    for space_type in space_types:
+      usage_type = space_type['building_type']
+      space_type_compliance = space_types_dictionary[usage_type]
+      occupancy_density = space_type_compliance['occupancy_per_area']
+      sensible_convective_internal_gain = space_type['sensible_convective_internal_gain']
+      sensible_radiative_internal_gain = space_type['sensible_radiative_internal_gain']
+      latent_internal_gain = space_type['latent_internal_gain']
+      lighting_density = space_type_compliance['lighting_per_area']
+      appliances_density = space_type_compliance['electric_equipment_per_area']
+      domestic_hot_water_peak_flow = space_type_compliance['service_water_heating_peak_flow_per_area']
+
+      occupancy_schedule_name = space_type['occupancy_schedule']
+      lighting_schedule_name = space_type['lighting_schedule']
+      appliance_schedule_name = space_type['electric_equipment_schedule']
+      hvac_schedule_name = space_type['exhaust_schedule']
+      if hvac_schedule_name and 'FAN' in hvac_schedule_name:
+        hvac_schedule_name = hvac_schedule_name.replace('FAN', 'Fan')
+      if not hvac_schedule_name:
+        hvac_schedule_name = 'default_HVAC_schedule'
+      heating_setpoint_schedule_name = space_type['heating_setpoint_schedule']
+      cooling_setpoint_schedule_name = space_type['cooling_setpoint_schedule']
+      domestic_hot_water_schedule_name = space_type['service_water_heating_schedule']
+      occupancy_schedule = self._get_schedules(occupancy_schedule_name)
+      lighting_schedule = self._get_schedules(lighting_schedule_name)
+      appliance_schedule = self._get_schedules(appliance_schedule_name)
+      heating_schedule = self._get_schedules(heating_setpoint_schedule_name)
+      cooling_schedule = self._get_schedules(cooling_setpoint_schedule_name)
+      hvac_availability = self._get_schedules(hvac_schedule_name)
+      domestic_hot_water_load_schedule = self._get_schedules(domestic_hot_water_schedule_name)
+
+      # ACH -> 1/s
+      mechanical_air_change = space_type['ventilation_air_changes'] / cte.HOUR_TO_SECONDS
+      # cfm/ft2 to m3/m2.s
+      ventilation_rate = space_type['ventilation_per_area'] / (cte.METERS_TO_FEET * cte.MINUTES_TO_SECONDS)
+      # cfm/person to m3/m2.s
+      ventilation_rate += space_type['ventilation_per_person'] / (
+          pow(cte.METERS_TO_FEET, 3) * cte.MINUTES_TO_SECONDS
+      ) * occupancy_density
+
+      lighting_radiative_fraction = space_type['lighting_fraction_radiant']
+      lighting_convective_fraction = 0
+      if lighting_radiative_fraction is not None:
+        lighting_convective_fraction = 1 - lighting_radiative_fraction
+      lighting_latent_fraction = 0
+      appliances_radiative_fraction = space_type['electric_equipment_fraction_radiant']
+      appliances_latent_fraction = space_type['electric_equipment_fraction_latent']
+      appliances_convective_fraction = 0
+      if appliances_radiative_fraction is not None and appliances_latent_fraction is not None:
+        appliances_convective_fraction = 1 - appliances_radiative_fraction - appliances_latent_fraction
+
+      domestic_hot_water_service_temperature = space_type['service_water_heating_target_temperature']
+
+      occupancy = Occupancy(occupancy_density,
+                            sensible_convective_internal_gain,
+                            sensible_radiative_internal_gain,
+                            latent_internal_gain,
+                            occupancy_schedule)
+      lighting = Lighting(lighting_density,
+                          lighting_convective_fraction,
+                          lighting_radiative_fraction,
+                          lighting_latent_fraction,
+                          lighting_schedule)
+      appliances = Appliances(appliances_density,
+                              appliances_convective_fraction,
+                              appliances_radiative_fraction,
+                              appliances_latent_fraction,
+                              appliance_schedule)
+      thermal_control = ThermalControl(None,
+                                       None,
+                                       None,
+                                       hvac_availability,
+                                       heating_schedule,
+                                       cooling_schedule)
+      domestic_hot_water = DomesticHotWater(None,
+                                            domestic_hot_water_peak_flow,
+                                            domestic_hot_water_service_temperature,
+                                            domestic_hot_water_load_schedule)
+
+      hours_day = None
+      days_year = None
+
+      usages.append(Usage(usage_type,
+                          hours_day,
+                          days_year,
+                          mechanical_air_change,
+                          ventilation_rate,
+                          occupancy,
+                          lighting,
+                          appliances,
+                          thermal_control,
+                          domestic_hot_water))
+    
+
+    return usages
+
+  def names(self, category=None):
+    """
+    Get the catalog elements names
+    :parm: for usage catalog category filter does nothing as there is only one category (usages)
+    """
+    _names = {'usages': []}
+    for usage in self._content.usages:
+      _names['usages'].append(usage.name)
+    return _names
+
+  def entries(self, category=None):
+    """
+    Get the catalog elements
+    :parm: for usage catalog category filter does nothing as there is only one category (usages)
+    """
+    return self._content
+
+  def get_entry(self, name):
+    """
+    Get one catalog element by names
+    :parm: entry name
+    """
+    for usage in self._content.usages:
+      if usage.name.lower() == name.lower():
+        return usage
+    raise IndexError(f"{name} doesn't exists in the catalog")

hub/catalog_factories/usage_catalog_factory.py

@@ -11,6 +11,7 @@ from typing import TypeVar
 from hub.catalog_factories.usage.comnet_catalog import ComnetCatalog
 from hub.catalog_factories.usage.nrcan_catalog import NrcanCatalog
 from hub.catalog_factories.usage.eilat_catalog import EilatCatalog
+from hub.catalog_factories.usage.palma_catalog import PalmaCatalog
 from hub.helpers.utils import validate_import_export_type
 
 Catalog = TypeVar('Catalog')
@@ -42,6 +43,13 @@ class UsageCatalogFactory:
     # nrcan retrieves the data directly from github
     return NrcanCatalog(self._path)
 
+  @property
+  def _palma(self):
+    """
+    Retrieve Palma catalog
+    """
+    return PalmaCatalog(self._path)
+
   @property
   def _eilat(self):
     """

hub/city_model_structure/building.py

@@ -27,7 +27,7 @@ class Building(CityObject):
   """
   Building(CityObject) class
   """
-  def __init__(self, name, surfaces, year_of_construction, function, terrains=None, city=None):
+  def __init__(self, name, surfaces, year_of_construction, function, usages=None, terrains=None, city=None):
     super().__init__(name, surfaces)
     self._city = city
     self._households = None
@@ -36,6 +36,7 @@ class Building(CityObject):
     self._terrains = terrains
     self._year_of_construction = year_of_construction
     self._function = function
+    self._usages = usages
     self._average_storey_height = None
     self._storeys_above_ground = None
     self._floor_area = None
@@ -92,6 +93,7 @@ class Building(CityObject):
         logging.error('Building %s [%s] has an unexpected surface type %s.', self.name, self.aliases, surface.type)
     self._domestic_hot_water_peak_load = None
     self._fuel_consumption_breakdown = {}
+    self._systems_archetype_cluster_id = None
     self._pv_generation = {}
 
   @property
@@ -256,7 +258,17 @@ class Building(CityObject):
     :param value: str
     """
     if value is not None:
-      self._function = str(value)
+      self._function = value
+
+  @property
+  def usages(self) -> Union[None, list]:
+    """
+    Get building usages, if none, assume usage is function
+    :return: None or list of functions
+    """
+    if self._usages is None and self._function is not None:
+      self._usages = [{'usage': self._function, 'ratio': 1 }]
+    return self._usages
 
   @property
   def average_storey_height(self) -> Union[None, float]:
@@ -292,7 +304,10 @@ class Building(CityObject):
     """
     if self._storeys_above_ground is None:
       if self.eave_height is not None and self.average_storey_height is not None:
-        self._storeys_above_ground = int(self.eave_height / self.average_storey_height)
+        storeys_above_ground = int(self.eave_height / self.average_storey_height)
+        if storeys_above_ground == 0:
+          storeys_above_ground += 1
+        self._storeys_above_ground = storeys_above_ground
     return self._storeys_above_ground
 
   @storeys_above_ground.setter
@@ -590,19 +605,6 @@ class Building(CityObject):
     """
     self._city = value
 
-  @property
-  def usages_percentage(self):
-    """
-    Get the usages and percentages for the building
-    """
-    _usage = ''
-    for internal_zone in self.internal_zones:
-      if internal_zone.usages is None:
-        continue
-      for usage in internal_zone.usages:
-        _usage = f'{_usage}{usage.name}_{usage.percentage} '
-    return _usage.rstrip()
-
   @property
   def energy_systems(self) -> Union[None, List[EnergySystem]]:
     """
@@ -736,6 +738,7 @@ class Building(CityObject):
       return self._distribution_systems_electrical_consumption
     for energy_system in self.energy_systems:
       distribution_systems = energy_system.distribution_systems
+      if distribution_systems is not None:
         for distribution_system in distribution_systems:
           emission_systems = distribution_system.emission_systems
           parasitic_energy_consumption = 0
@@ -863,9 +866,10 @@ class Building(CityObject):
     Get energy consumption of different sectors
     return: dict
     """
-    fuel_breakdown = {cte.ELECTRICITY: {cte.LIGHTING: self.lighting_electrical_demand[cte.YEAR][0],
-                                        cte.APPLIANCES: self.appliances_electrical_demand[cte.YEAR][0]}}
+    fuel_breakdown = {cte.ELECTRICITY: {cte.LIGHTING: self.lighting_electrical_demand[cte.YEAR][0] if self.lighting_electrical_demand else 0,
+                                        cte.APPLIANCES: self.appliances_electrical_demand[cte.YEAR][0] if self.appliances_electrical_demand else 0}}
     energy_systems = self.energy_systems
+    if energy_systems is not None:
       for energy_system in energy_systems:
         demand_types = energy_system.demand_types
         generation_systems = energy_system.generation_systems
@@ -881,7 +885,8 @@ class Building(CityObject):
               if storage_systems:
                 for storage_system in storage_systems:
                   if storage_system.type_energy_stored == 'thermal' and storage_system.heating_coil_energy_consumption:
-                  fuel_breakdown[cte.ELECTRICITY][f'{demand_type}'] += storage_system.heating_coil_energy_consumption[cte.YEAR][0]
+                    fuel_breakdown[cte.ELECTRICITY][f'{demand_type}'] += (
+                      storage_system.heating_coil_energy_consumption)[f'{demand_type}'][cte.YEAR][0]
       #TODO: When simulation models of all energy system archetypes are created, this part can be removed
       heating_fuels = []
       dhw_fuels = []
@@ -896,20 +901,52 @@ class Building(CityObject):
         if key == cte.ELECTRICITY and cte.COOLING not in fuel_breakdown[key]:
           for energy_system in energy_systems:
             if cte.COOLING in energy_system.demand_types and cte.COOLING not in fuel_breakdown[key]:
-            for generation_system in energy_system.generation_systems:
-              fuel_breakdown[generation_system.fuel_type][cte.COOLING] = self.cooling_consumption[cte.YEAR][0]
+              if self.cooling_consumption:
+                fuel_breakdown[energy_system.generation_systems[0].fuel_type][cte.COOLING] = self.cooling_consumption[cte.YEAR][0]
         for fuel in heating_fuels:
           if cte.HEATING not in fuel_breakdown[fuel]:
             for energy_system in energy_systems:
               if cte.HEATING in energy_system.demand_types:
-              for generation_system in energy_system.generation_systems:
-                fuel_breakdown[generation_system.fuel_type][cte.HEATING] = self.heating_consumption[cte.YEAR][0]
+                if self.heating_consumption:
+                  fuel_breakdown[energy_system.generation_systems[0].fuel_type][cte.HEATING] = self.heating_consumption[cte.YEAR][0]
         for fuel in dhw_fuels:
           if cte.DOMESTIC_HOT_WATER not in fuel_breakdown[fuel]:
             for energy_system in energy_systems:
               if cte.DOMESTIC_HOT_WATER in energy_system.demand_types:
-              for generation_system in energy_system.generation_systems:
-                fuel_breakdown[generation_system.fuel_type][cte.DOMESTIC_HOT_WATER] = self.domestic_hot_water_consumption[cte.YEAR][0]
+                if self.domestic_hot_water_consumption:
+                  fuel_breakdown[energy_system.generation_systems[0].fuel_type][cte.DOMESTIC_HOT_WATER] = self.domestic_hot_water_consumption[cte.YEAR][0]
     self._fuel_consumption_breakdown = fuel_breakdown
     return self._fuel_consumption_breakdown
 
+  @property
+  def energy_systems_archetype_cluster_id(self):
+    """
+    Get energy systems archetype id
+    :return: str
+    """
+    return self._systems_archetype_cluster_id
+
+  @energy_systems_archetype_cluster_id.setter
+  def energy_systems_archetype_cluster_id(self, value):
+    """
+    Set energy systems archetype id
+    :param value: str
+    """
+    self._systems_archetype_cluster_id = value
+
+  @property
+  def pv_generation(self):
+    """
+    temporary attribute to get the onsite pv generation in W
+    :return: dict
+    """
+    return self._pv_generation
+
+  @pv_generation.setter
+  def pv_generation(self, value):
+    """
+    temporary attribute to set the onsite pv generation in W
+    :param value: float
+    """
+    self._pv_generation = value
+

hub/city_model_structure/building_demand/internal_zone.py

@@ -135,6 +135,8 @@ class InternalZone:
     if self.thermal_archetype is None:
       return None  # there are no archetype
     _number_of_storeys = int(self.volume / self.area / self.thermal_archetype.average_storey_height)
+    if _number_of_storeys == 0:
+      _number_of_storeys = 1
     _thermal_zone = ThermalZone(_thermal_boundaries, self, self.volume, self.area, _number_of_storeys)
     for thermal_boundary in _thermal_zone.thermal_boundaries:
       thermal_boundary.thermal_zones = [_thermal_zone]

hub/city_model_structure/building_demand/surface.py

@@ -157,6 +157,7 @@ class Surface:
     if self._inclination is None:
       self._inclination = np.arccos(self.perimeter_polygon.normal[2])
     return self._inclination
+
   @property
   def type(self):
     """
@@ -180,7 +181,7 @@ class Surface:
   @property
   def global_irradiance(self) -> dict:
     """
-    Get global irradiance on surface in J/m2
+    Get global irradiance on surface in W/m2
     :return: dict
     """
     return self._global_irradiance
@@ -188,7 +189,7 @@ class Surface:
   @global_irradiance.setter
   def global_irradiance(self, value):
     """
-    Set global irradiance on surface in J/m2
+    Set global irradiance on surface in W/m2
     :param value: dict
     """
     self._global_irradiance = value
@@ -390,7 +391,7 @@ class Surface:
   @property
   def global_irradiance_tilted(self) -> dict:
     """
-    Get global irradiance on a tilted surface in J/m2
+    Get global irradiance on a tilted surface in W/m2
     :return: dict
     """
     return self._global_irradiance_tilted
@@ -398,7 +399,7 @@ class Surface:
   @global_irradiance_tilted.setter
   def global_irradiance_tilted(self, value):
     """
-    Set global irradiance on a tilted surface in J/m2
+    Set global irradiance on a tilted surface in W/m2
     :param value: dict
     """
     self._global_irradiance_tilted = value

hub/city_model_structure/building_demand/thermal_archetype.py

@@ -20,6 +20,8 @@ class ThermalArchetype:
     self._indirect_heated_ratio = None
     self._infiltration_rate_for_ventilation_system_off = None
     self._infiltration_rate_for_ventilation_system_on = None
+    self._infiltration_rate_area_for_ventilation_system_off=None
+    self._infiltration_rate_area_for_ventilation_system_on=None
 
   @property
   def constructions(self) -> [Construction]:
@@ -132,3 +134,35 @@ class ThermalArchetype:
     :param value: float
     """
     self._infiltration_rate_for_ventilation_system_on = value
+
+  @property
+  def infiltration_rate_area_for_ventilation_system_off(self):
+    """
+    Get infiltration rate for ventilation system off in l/s/m2
+    :return: float
+    """
+    return self._infiltration_rate_for_ventilation_system_off
+
+  @infiltration_rate_area_for_ventilation_system_off.setter
+  def infiltration_rate_area_for_ventilation_system_off(self, value):
+    """
+    Set infiltration rate for ventilation system off in l/s/m2
+    :param value: float
+    """
+    self._infiltration_rate_for_ventilation_system_off = value
+
+  @property
+  def infiltration_rate_area_for_ventilation_system_on(self):
+    """
+    Get infiltration rate for ventilation system on in l/s/m2
+    :return: float
+    """
+    return self._infiltration_rate_for_ventilation_system_on
+
+  @infiltration_rate_area_for_ventilation_system_on.setter
+  def infiltration_rate_area_for_ventilation_system_on(self, value):
+    """
+    Set infiltration rate for ventilation system on in l/s/m2
+    :param value: float
+    """
+    self._infiltration_rate_for_ventilation_system_on = value

hub/city_model_structure/building_demand/thermal_zone.py

@@ -34,7 +34,7 @@ class ThermalZone:
                volume,
                footprint_area,
                number_of_storeys,
-               usage_name=None):
+               usages=None):
     self._id = None
     self._parent_internal_zone = parent_internal_zone
     self._footprint_area = footprint_area
@@ -44,15 +44,13 @@ class ThermalZone:
     self._indirectly_heated_area_ratio = None
     self._infiltration_rate_system_on = None
     self._infiltration_rate_system_off = None
+    self._infiltration_rate_area_system_on = None
+    self._infiltration_rate_area_system_off = None
     self._volume = volume
     self._ordinate_number = None
     self._view_factors_matrix = None
     self._total_floor_area = None
     self._number_of_storeys = number_of_storeys
-    self._usage_name = usage_name
-    self._usage_from_parent = False
-    if usage_name is None:
-      self._usage_from_parent = True
     self._hours_day = None
     self._days_year = None
     self._mechanical_air_change = None
@@ -62,7 +60,12 @@ class ThermalZone:
     self._internal_gains = None
     self._thermal_control = None
     self._domestic_hot_water = None
-    self._usages = None
+    self._usage_name = None
+    self._usages = usages
+    self._usage_from_parent = False
+    if usages is None:
+      self._usage_from_parent = True
+     
 
   @property
   def parent_internal_zone(self) -> InternalZone:
@@ -75,24 +78,11 @@ class ThermalZone:
   @property
   def usages(self):
     """
-    Get the thermal zone usages including percentage with the format [percentage]-usage_[percentage]-usage...
-    Eg: 70-office_30-residential
+    Get the thermal zone usages
     :return: str
     """
     if self._usage_from_parent:
       self._usages = copy.deepcopy(self._parent_internal_zone.usages)
-    else:
-      values = self._usage_name.split('_')
-      usages = []
-      for value in values:
-        usages.append(value.split('-'))
-      self._usages = []
-      for parent_usage in self._parent_internal_zone.usages:
-        for value in usages:
-          if parent_usage.name == value[1]:
-            new_usage = copy.deepcopy(parent_usage)
-            new_usage.percentage = float(value[0]) / 100
-            self._usages.append(new_usage)
     return self._usages
 
   @property
@@ -166,6 +156,24 @@ class ThermalZone:
     self._infiltration_rate_system_off = self._parent_internal_zone.thermal_archetype.infiltration_rate_for_ventilation_system_off
     return self._infiltration_rate_system_off
 
+  @property
+  def infiltration_rate_area_system_on(self):
+    """
+    Get thermal zone infiltration rate system on in air changes per second (1/s)
+    :return: None or float
+    """
+    self._infiltration_rate_area_system_on = self._parent_internal_zone.thermal_archetype.infiltration_rate_area_for_ventilation_system_on
+    return self._infiltration_rate_area_system_on
+
+  @property
+  def infiltration_rate_area_system_off(self):
+    """
+    Get thermal zone infiltration rate system off in air changes per second (1/s)
+    :return: None or float
+    """
+    self._infiltration_rate_area_system_off = self._parent_internal_zone.thermal_archetype.infiltration_rate_area_for_ventilation_system_off
+    return self._infiltration_rate_area_system_off
+
   @property
   def volume(self):
     """

hub/city_model_structure/energy_systems/pv_generation_system.py

@@ -22,14 +22,13 @@ class PvGenerationSystem(GenerationSystem):
     self._nominal_radiation = None
     self._standard_test_condition_cell_temperature = None
     self._standard_test_condition_maximum_power = None
+    self._standard_test_condition_radiation = None
     self._cell_temperature_coefficient = None
     self._width = None
     self._height = None
-    self._electricity_power = None
+    self._electricity_power_output = {}
     self._tilt_angle = None
-    self._surface_azimuth = None
-    self._solar_altitude_angle = None
-    self._solar_azimuth_angle = None
+    self._installed_capacity = None
 
   @property
   def nominal_electricity_output(self):
@@ -143,6 +142,22 @@ class PvGenerationSystem(GenerationSystem):
     """
     self._standard_test_condition_maximum_power = value
 
+  @property
+  def standard_test_condition_radiation(self):
+    """
+    Get standard test condition radiation in W/m2
+    :return: float
+    """
+    return self._standard_test_condition_radiation
+
+  @standard_test_condition_radiation.setter
+  def standard_test_condition_radiation(self, value):
+    """
+    Set standard test condition radiation in W/m2
+    :param value: float
+    """
+    self._standard_test_condition_radiation = value
+
   @property
   def cell_temperature_coefficient(self):
     """
@@ -192,49 +207,33 @@ class PvGenerationSystem(GenerationSystem):
     self._height = value
 
   @property
-  def electricity_power(self):
+  def electricity_power_output(self):
     """
     Get electricity_power in W
     :return: float
     """
-    return self._electricity_power
+    return self._electricity_power_output
 
-  @electricity_power.setter
-  def electricity_power(self, value):
+  @electricity_power_output.setter
+  def electricity_power_output(self, value):
     """
     Set electricity_power in W
     :param value: float
     """
-    self._electricity_power = value
+    self._electricity_power_output = value
 
   @property
-  def tilt_angle(self):
+  def installed_capacity(self):
     """
-    Get tilt angle of PV system in degrees
+    Get the total installed nominal capacity in W
     :return: float
     """
-    return self._tilt_angle
+    return self._installed_capacity
 
-  @tilt_angle.setter
-  def tilt_angle(self, value):
+  @installed_capacity.setter
+  def installed_capacity(self, value):
     """
-    Set PV system tilt angle in degrees
+    Set the total installed nominal capacity in W
     :param value: float
     """
-    self._tilt_angle = value
-
-  @property
-  def surface_azimuth(self):
-    """
-    Get surface azimuth angle of PV system in degrees. 0 is North
-    :return: float
-    """
-    return self._surface_azimuth
-
-  @surface_azimuth.setter
-  def surface_azimuth(self, value):
-    """
-    Set PV system tilt angle in degrees
-    :param value: float
-    """
-    self._surface_azimuth = value
+    self._installed_capacity = value

hub/data/construction/palma_archetypes.json

@@ -0,0 +1,774 @@
+{
+    "archetypes": [
+     {
+        "function": "Large multifamily building",
+        "period_of_construction": "2021_2050",
+        "climate_zone": "B3",
+        "average_storey_height": 3.57,
+        "thermal_capacity": 83.018,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0005,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT",
+            "transparent_surface_name": "PA1_PA2_2021_2050_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "5",
+                "south": "60",
+                "west": "5"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_ROOF",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOOR"
+          },
+          "GroundWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT"
+          },
+          "GroundRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOORINT"
+          }
+        }
+      },
+	       {
+        "function": "Medium multifamily building",
+        "period_of_construction": "2021_2050",
+        "climate_zone": "B3",
+        "average_storey_height": 3.57,
+        "thermal_capacity": 83.018,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0005,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT",
+            "transparent_surface_name": "PA1_PA2_2021_2050_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "5",
+                "south": "60",
+                "west": "5"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_ROOF",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOOR"
+          },
+          "GroundWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT"
+          },
+          "GroundRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOORINT"
+          }
+        }
+      },
+	       {
+        "function": "Small multifamily building",
+        "period_of_construction": "2021_2050",
+        "climate_zone": "B3",
+        "average_storey_height": 3.57,
+        "thermal_capacity": 83.018,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0005,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT",
+            "transparent_surface_name": "PA1_PA2_2021_2050_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "5",
+                "south": "60",
+                "west": "5"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_ROOF",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOOR"
+          },
+          "GroundWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT"
+          },
+          "GroundRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOORINT"
+          }
+        }
+      },
+	  {
+        "function": "Single-family building",
+        "period_of_construction": "2021_2050",
+        "climate_zone": "B3",
+        "average_storey_height": 3.57,
+        "thermal_capacity": 83.018,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0005,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT",
+            "transparent_surface_name": "PA1_PA2_2021_2050_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "5",
+                "south": "60",
+                "west": "5"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_ROOF",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOOR"
+          },
+          "GroundWall": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FACEXT"
+          },
+          "GroundRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_2021_2050_FLOORINT"
+          }
+        }
+      },
+      {
+        "function": "Large multifamily building",
+        "period_of_construction": "1961_1980",
+        "climate_zone": "B3",
+        "average_storey_height": 3.57,
+        "thermal_capacity": 3000,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0045,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_FACEXT1",
+            "transparent_surface_name": "PA1_PA2_1961_1980_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "60",
+                "south": "60",
+                "west": "60"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_FLOOR1"
+          },
+          "GroundWall": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_FACEXT1"
+          },
+          "GroundRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_FLOOR4"
+          }
+        }
+      },
+      {
+        "function": "Large multifamily building",
+        "period_of_construction": "1981_2007",
+        "climate_zone": "B3",
+        "average_storey_height": 3.2,
+        "thermal_capacity": 3179,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.003,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "E_1981_2007_FACEXT1",
+            "transparent_surface_name": "E_1981_2007_WIN1",
+            "transparent_ratio": {
+                "north": "45",
+                "east": "45",
+                "south": "45",
+                "west": "45"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "E_1981_2007_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "E_1981_2007_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Medium multifamily building",
+        "period_of_construction": "1800_1900",
+        "climate_zone": "B3",
+        "average_storey_height": 4.39,
+        "thermal_capacity": 3330,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.006,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "A_B1900_FACEXT1",
+            "transparent_surface_name": "A_B1900_WIN2",
+            "transparent_ratio": {
+                "north": "20",
+                "east": "20",
+                "south": "20",
+                "west": "20"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "A_B1900_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "A_B1900_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Medium multifamily building",
+        "period_of_construction": "1901_1940",
+        "climate_zone": "B3",
+        "average_storey_height": 3.65,
+        "thermal_capacity": 3420,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.006,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "B_1901_1940_FACEXT1",
+            "transparent_surface_name": "B_1901_1940_WIN1",
+            "transparent_ratio": {
+                "north": "40",
+                "east": "40",
+                "south": "40",
+                "west": "40"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "B_1901_1940_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "B_1901_1940_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Medium multifamily building",
+        "period_of_construction": "1941_1960",
+        "climate_zone": "B3",
+        "average_storey_height": 3.6,
+        "thermal_capacity": 3000,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0055,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "C_1941_1960_FACEXT1",
+            "transparent_surface_name": "C_1941_1960_WIN1",
+            "transparent_ratio": {
+                "north": "30",
+                "east": "30",
+                "south": "30",
+                "west": "30"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "C_1941_1960_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "C_1941_1960_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Medium multifamily building",
+        "period_of_construction": "1961_1980",
+        "climate_zone": "B3",
+        "average_storey_height": 4.5,
+        "thermal_capacity": 3540,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0045,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_FACEXT1",
+            "transparent_surface_name": "PA1_PA2_1961_1980_WIN1",
+            "transparent_ratio": {
+                "north": "55",
+                "east": "55",
+                "south": "55",
+                "west": "55"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA1_PA2_1961_1980_FLOOR1"
+          }
+        }
+      },
+	  {
+        "function": "Medium multifamily building",
+        "period_of_construction": "1981_2007",
+        "climate_zone": "B3",
+        "average_storey_height": 3.2,
+        "thermal_capacity": 3179,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.003,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "E_1981_2007_FACEXT1",
+            "transparent_surface_name": "E_1981_2007_WIN1",
+            "transparent_ratio": {
+                "north": "45",
+                "east": "45",
+                "south": "45",
+                "west": "45"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "E_1981_2007_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "E_1981_2007_FLOORGR1"
+          }
+        }
+      },
+      {
+        "function": "Medium multifamily building",
+        "period_of_construction": "2008_2014",
+        "climate_zone": "B3",
+        "average_storey_height": 2.75,
+        "thermal_capacity": 3290,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0015,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "F_2008_2014_FACEXT1",
+            "transparent_surface_name": "F_2008_2014_WIN1",
+            "transparent_ratio": {
+                "north": "40",
+                "east": "40",
+                "south": "40",
+                "west": "40"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "F_2008_2014_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "F_2008_2014_FLOORGR1"
+          }
+        }
+      },
+      {
+        "function": "Small multifamily building",
+        "period_of_construction": "1800_1980",
+        "climate_zone": "B3",
+        "average_storey_height": 3.8,
+        "thermal_capacity": 3527.9,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.006,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA3_PA4_1901_1940_FACEXT1",
+            "transparent_surface_name": "PA3_PA4_1901_1940_WIN1",
+            "transparent_ratio": {
+                "north": "40",
+                "east": "40",
+                "south": "40",
+                "west": "40"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA3_PA4_1901_1940_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA3_PA4_1901_1940_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Small multifamily building",
+        "period_of_construction": "1981_2007",
+        "climate_zone": "B3",
+        "average_storey_height": 3.2,
+        "thermal_capacity": 3179,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.003,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "E_1981_2007_FACEXT1",
+            "transparent_surface_name": "E_1981_2007_WIN1",
+            "transparent_ratio": {
+                "north": "45",
+                "east": "45",
+                "south": "45",
+                "west": "45"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "E_1981_2007_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "E_1981_2007_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Small multifamily building",
+        "period_of_construction": "2008_2014",
+        "climate_zone": "B3",
+        "average_storey_height": 2.75,
+        "thermal_capacity": 3290,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0015,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "F_2008_2014_FACEXT1",
+            "transparent_surface_name": "F_2008_2014_WIN1",
+            "transparent_ratio": {
+                "north": "40",
+                "east": "40",
+                "south": "40",
+                "west": "40"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "F_2008_2014_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "F_2008_2014_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Small multifamily building",
+        "period_of_construction": "2015_2019",
+        "climate_zone": "B3",
+        "average_storey_height": 2.75,
+        "thermal_capacity": 3290,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0005,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "G_2015_2019_FACEXT1",
+            "transparent_surface_name": "G_2015_2019_WIN1",
+            "transparent_ratio": {
+                "north": "40",
+                "east": "40",
+                "south": "40",
+                "west": "40"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "G_2015_2019_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "G_2015_2019_FLOORGR1"
+          }
+        }
+      },
+      {
+        "function": "Single-family building",
+        "period_of_construction": "1800_1980",
+        "climate_zone": "B3",
+        "average_storey_height": 3.68,
+        "thermal_capacity": 4400,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.006,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "PA3_PA4_1901_1940_FACEXT1",
+            "transparent_surface_name": "PA3_PA4_1901_1940_WIN1",
+            "transparent_ratio": {
+                "north": "40",
+                "east": "40",
+                "south": "40",
+                "west": "40"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "PA3_PA4_1901_1940_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "PA3_PA4_1901_1940_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Single-family building",
+        "period_of_construction": "1981_2007",
+        "climate_zone": "B3",
+        "average_storey_height": 3.2,
+        "thermal_capacity": 3179,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.003,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "E_1981_2007_FACEXT1",
+            "transparent_surface_name": "E_1981_2007_WIN1",
+            "transparent_ratio": {
+                "north": "45",
+                "east": "45",
+                "south": "45",
+                "west": "45"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "E_1981_2007_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "E_1981_2007_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Single-family building",
+        "period_of_construction": "2008_2014",
+        "climate_zone": "B3",
+        "average_storey_height": 3.75,
+        "thermal_capacity": 3200,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0015,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "F_2008_2014_FACEXT1",
+            "transparent_surface_name": "F_2008_2014_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "60",
+                "south": "60",
+                "west": "60"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "F_2008_2014_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "F_2008_2014_FLOORGR1"
+          }
+        }
+      },
+	  {
+        "function": "Single-family building",
+        "period_of_construction": "2015_2019",
+        "climate_zone": "B3",
+        "average_storey_height": 3.75,
+        "thermal_capacity": 3200,
+        "extra_loses_due_thermal_bridges": 0.1,
+        "infiltration_rate_for_ventilation_system_on": 0,
+        "infiltration_rate_for_ventilation_system_off": 0.9,
+        "infiltration_rate_area_for_ventilation_system_on": 0,
+        "infiltration_rate_area_for_ventilation_system_off": 0.0005,
+        "constructions": {
+          "OutdoorsWall": {
+            "opaque_surface_name": "G_2015_2019_FACEXT1",
+            "transparent_surface_name": "G_2015_2019_WIN1",
+            "transparent_ratio": {
+                "north": "60",
+                "east": "60",
+                "south": "60",
+                "west": "60"
+            }
+          },
+          "OutdoorsRoofCeiling": {
+            "opaque_surface_name": "G_2015_2019_ROOF1",
+            "transparent_surface_name": null,
+            "transparent_ratio": {
+              "north": null,
+              "east": null,
+              "south": null,
+              "west": null
+            }
+          },
+          "GroundFloor": {
+            "opaque_surface_name": "G_2015_2019_FLOORGR1"
+          }
+        }
+      }
+    ]
+  }

hub/data/energy_systems/montreal_custom_systems.xml

@@ -198,7 +198,7 @@
             <equipments>
                 <generation_id>3</generation_id>
                 <distribution_id>8</distribution_id>
-g            </equipments>
+            </equipments>
         </system>
         <system id="5">
             <name>Single zone packaged rooftop unit with electrical resistance furnace and baseboards and fuel boiler for acs</name>
@@ -240,7 +240,7 @@ g            </equipments>
             <demand>domestic_hot_water</demand>
         </demands>
         <equipments>
-            <generation_id>2</generation_id>
+            <generation_id>1</generation_id>
             <distribution_id>3</distribution_id>
         </equipments>
         </system>
@@ -302,7 +302,7 @@ g            </equipments>
             </demands>
             <equipments>
                 <generation_id>5</generation_id>
-                <distribution_id>6</distribution_id>
+                <distribution_id>4</distribution_id>
             </equipments>
         </system>
         <system id="15">

hub/data/energy_systems/palma_systems.xml

@@ -0,0 +1,809 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<EnergySystemCatalog>
+	<schemas_path>./schemas/</schemas_path>
+    <media>
+        <medium>
+			<medium_id>1</medium_id>
+			<name>Water</name>
+			<solar_absorptance/>
+			<thermal_absorptance/>
+			<visible_absorptance/>
+			<no_mass/>
+			<thermal_resistance/>
+			<density>981.0</density>
+			<specific_heat>4180.0</specific_heat>
+			<conductivity>0.6</conductivity>
+		</medium>
+    </media>
+    <energy_generation_components>
+        <non_pv_generation_component>
+            <system_id>1</system_id>
+            <name>Natural-Gas Boiler</name>
+			<system_type>boiler</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_heat_output/>
+            <minimum_heat_output/>
+            <maximum_heat_output/>
+            <heat_efficiency>0.7</heat_efficiency>
+            <reversible>False</reversible>
+            <fuel_type>natural gas</fuel_type>
+            <source_medium/>
+            <supply_medium/>
+            <nominal_cooling_output/>
+            <minimum_cooling_output/>
+            <maximum_cooling_output/>
+            <cooling_efficiency/>
+            <electricity_efficiency/>
+            <source_temperature/>
+            <source_mass_flow/>
+            <nominal_electricity_output/>
+            <maximum_heat_supply_temperature/>
+            <minimum_heat_supply_temperature/>
+            <maximum_cooling_supply_temperature/>
+            <minimum_cooling_supply_temperature/>
+            <heat_output_curve/>
+            <heat_fuel_consumption_curve/>
+            <heat_efficiency_curve/>
+            <cooling_output_curve/>
+            <cooling_fuel_consumption_curve/>
+            <cooling_efficiency_curve/>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <domestic_hot_water>True</domestic_hot_water>
+            <heat_supply_temperature/>
+            <cooling_supply_temperature/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </non_pv_generation_component>
+        <non_pv_generation_component>
+            <system_id>2</system_id>
+            <name>Joule</name>
+			<system_type>joule</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_heat_output/>
+            <minimum_heat_output/>
+            <maximum_heat_output/>
+            <heat_efficiency>1</heat_efficiency>
+            <reversible>False</reversible>
+            <fuel_type>electricity</fuel_type>
+            <source_medium/>
+            <supply_medium/>
+            <nominal_cooling_output/>
+            <minimum_cooling_output/>
+            <maximum_cooling_output/>
+            <cooling_efficiency/>
+            <electricity_efficiency/>
+            <source_temperature/>
+            <source_mass_flow/>
+            <nominal_electricity_output/>
+            <maximum_heat_supply_temperature/>
+            <minimum_heat_supply_temperature/>
+            <maximum_cooling_supply_temperature/>
+            <minimum_cooling_supply_temperature/>
+            <heat_output_curve/>
+            <heat_fuel_consumption_curve/>
+            <heat_efficiency_curve/>
+            <cooling_output_curve/>
+            <cooling_fuel_consumption_curve/>
+            <cooling_efficiency_curve/>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <domestic_hot_water>True</domestic_hot_water>
+            <heat_supply_temperature/>
+            <cooling_supply_temperature/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </non_pv_generation_component>
+        <non_pv_generation_component>
+            <system_id>3</system_id>
+            <name>Heat Pump</name>
+			<system_type>heat pump</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_heat_output/>
+            <minimum_heat_output/>
+            <maximum_heat_output/>
+            <heat_efficiency>2</heat_efficiency>
+            <reversible>True</reversible>
+            <fuel_type>electricity</fuel_type>
+            <source_medium>Air</source_medium>
+            <supply_medium>Water</supply_medium>
+            <nominal_cooling_output/>
+            <minimum_cooling_output/>
+            <maximum_cooling_output/>
+            <cooling_efficiency>2</cooling_efficiency>
+            <electricity_efficiency/>
+            <source_temperature/>
+            <source_mass_flow/>
+            <nominal_electricity_output/>
+            <maximum_heat_supply_temperature/>
+            <minimum_heat_supply_temperature/>
+            <maximum_cooling_supply_temperature/>
+            <minimum_cooling_supply_temperature/>
+            <heat_output_curve/>
+            <heat_fuel_consumption_curve/>
+            <heat_efficiency_curve/>
+            <cooling_output_curve/>
+            <cooling_fuel_consumption_curve/>
+            <cooling_efficiency_curve/>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <domestic_hot_water>False</domestic_hot_water>
+            <heat_supply_temperature/>
+            <cooling_supply_temperature/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </non_pv_generation_component>
+        <non_pv_generation_component>
+            <system_id>4</system_id>
+            <name>Butane Heater</name>
+			<system_type>butane heater</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_heat_output/>
+            <minimum_heat_output/>
+            <maximum_heat_output/>
+            <heat_efficiency>0.7</heat_efficiency>
+            <reversible>False</reversible>
+            <fuel_type>butane</fuel_type>
+            <source_medium/>
+            <supply_medium/>
+            <nominal_cooling_output/>
+            <minimum_cooling_output/>
+            <maximum_cooling_output/>
+            <cooling_efficiency/>
+            <electricity_efficiency/>
+            <source_temperature/>
+            <source_mass_flow/>
+            <nominal_electricity_output/>
+            <maximum_heat_supply_temperature/>
+            <minimum_heat_supply_temperature/>
+            <maximum_cooling_supply_temperature/>
+            <minimum_cooling_supply_temperature/>
+            <heat_output_curve/>
+            <heat_fuel_consumption_curve/>
+            <heat_efficiency_curve/>
+            <cooling_output_curve/>
+            <cooling_fuel_consumption_curve/>
+            <cooling_efficiency_curve/>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <domestic_hot_water>True</domestic_hot_water>
+            <heat_supply_temperature/>
+            <cooling_supply_temperature/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </non_pv_generation_component>
+        <non_pv_generation_component>
+            <system_id>5</system_id>
+            <name>Split</name>
+			<system_type>split</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_heat_output/>
+            <minimum_heat_output/>
+            <maximum_heat_output/>
+            <heat_efficiency/>
+            <reversible>False</reversible>
+            <fuel_type>electricity</fuel_type>
+            <source_medium/>
+            <supply_medium/>
+            <nominal_cooling_output/>
+            <minimum_cooling_output/>
+            <maximum_cooling_output/>
+            <cooling_efficiency>2</cooling_efficiency>
+            <electricity_efficiency/>
+            <source_temperature/>
+            <source_mass_flow/>
+            <nominal_electricity_output/>
+            <maximum_heat_supply_temperature/>
+            <minimum_heat_supply_temperature/>
+            <maximum_cooling_supply_temperature/>
+            <minimum_cooling_supply_temperature/>
+            <heat_output_curve/>
+            <heat_fuel_consumption_curve/>
+            <heat_efficiency_curve/>
+            <cooling_output_curve/>
+            <cooling_fuel_consumption_curve/>
+            <cooling_efficiency_curve/>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <domestic_hot_water>False</domestic_hot_water>
+            <heat_supply_temperature/>
+            <cooling_supply_temperature/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </non_pv_generation_component>
+        <non_pv_generation_component>
+            <system_id>6</system_id>
+            <name>Domestic Hot Water Heat Pump</name>
+			<system_type>heat pump</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_heat_output/>
+            <minimum_heat_output/>
+            <maximum_heat_output/>
+			<heat_efficiency>3</heat_efficiency>
+            <reversible>False</reversible>
+            <fuel_type>electricity</fuel_type>
+			<source_medium>Air</source_medium>
+			<supply_medium>Water</supply_medium>
+            <nominal_cooling_output/>
+            <minimum_cooling_output/>
+            <maximum_cooling_output/>
+            <cooling_efficiency/>
+            <electricity_efficiency/>
+            <source_temperature/>
+            <source_mass_flow/>
+            <nominal_electricity_output/>
+            <maximum_heat_supply_temperature/>
+            <minimum_heat_supply_temperature/>
+            <maximum_cooling_supply_temperature/>
+            <minimum_cooling_supply_temperature/>
+            <heat_output_curve/>
+            <heat_fuel_consumption_curve/>
+            <heat_efficiency_curve/>
+            <cooling_output_curve/>
+            <cooling_fuel_consumption_curve/>
+            <cooling_efficiency_curve/>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <domestic_hot_water>True</domestic_hot_water>
+            <heat_supply_temperature/>
+            <cooling_supply_temperature/>
+            <simultaneous_heat_cold/>
+        </non_pv_generation_component>
+        <pv_generation_component>
+            <system_id>7</system_id>
+            <name>template Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name/>
+            <manufacturer/>
+            <nominal_electricity_output/>
+            <electricity_efficiency>0.2</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>45</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>500</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.3</cell_temperature_coefficient>
+            <width>2.0</width>
+            <height>1.0</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>8</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>RE400CAA Pure 2</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>305</nominal_electricity_output>
+            <electricity_efficiency>0.206</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>400</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>1.86</width>
+            <height>1.04</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>9</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>RE410CAA Pure 2</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>312</nominal_electricity_output>
+            <electricity_efficiency>0.211</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>410</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>1.86</width>
+            <height>1.04</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>10</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>RE420CAA Pure 2</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>320</nominal_electricity_output>
+            <electricity_efficiency>0.217</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>420</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>1.86</width>
+            <height>1.04</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>11</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>RE430CAA Pure 2</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>327</nominal_electricity_output>
+            <electricity_efficiency>0.222</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>430</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>1.86</width>
+            <height>1.04</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>12</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>REC600AA Pro M</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>457</nominal_electricity_output>
+            <electricity_efficiency>0.211</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>600</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>2.17</width>
+            <height>1.3</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>13</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>REC610AA Pro M</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>464</nominal_electricity_output>
+            <electricity_efficiency>0.215</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>610</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>2.17</width>
+            <height>1.3</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>14</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>REC620AA Pro M</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>472</nominal_electricity_output>
+            <electricity_efficiency>0.218</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>620</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>2.17</width>
+            <height>1.3</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>15</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>REC630AA Pro M</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>480</nominal_electricity_output>
+            <electricity_efficiency>0.222</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>630</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>2.17</width>
+            <height>1.3</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+        <pv_generation_component>
+            <system_id>16</system_id>
+            <name>Photovoltaic Module</name>
+            <system_type>photovoltaic</system_type>
+            <model_name>REC640AA Pro M</model_name>
+            <manufacturer>REC</manufacturer>
+            <nominal_electricity_output>487</nominal_electricity_output>
+            <electricity_efficiency>0.215</electricity_efficiency>
+            <nominal_ambient_temperature>20</nominal_ambient_temperature>
+            <nominal_cell_temperature>44</nominal_cell_temperature>
+            <nominal_radiation>800</nominal_radiation>
+            <standard_test_condition_cell_temperature>25</standard_test_condition_cell_temperature>
+            <standard_test_condition_radiation>1000</standard_test_condition_radiation>
+            <standard_test_condition_maximum_power>640</standard_test_condition_maximum_power>
+            <cell_temperature_coefficient>0.24</cell_temperature_coefficient>
+            <width>2.17</width>
+            <height>1.3</height>
+            <distribution_systems/>
+            <energy_storage_systems/>
+            <simultaneous_heat_cold>False</simultaneous_heat_cold>
+        </pv_generation_component>
+    </energy_generation_components>
+    <energy_storage_components>
+        <thermalStorages>
+		    <storage_id>6</storage_id>
+			<name>template Hot Water Storage Tank</name>
+			<type_energy_stored>thermal</type_energy_stored>
+			<model_name/>
+			<manufacturer/>
+			<maximum_operating_temperature>95.0</maximum_operating_temperature>
+            <insulation>
+				<material_id>1</material_id>
+				<insulationThickness>90.0</insulationThickness>
+			</insulation>
+            <physical_characteristics>
+				<material_id>2</material_id>
+				<tankThickness>0</tankThickness>
+				<height>1.5</height>
+				<tankMaterial>Steel</tankMaterial>
+				<volume/>
+			</physical_characteristics>
+            <storage_medium>
+				<medium_id>1</medium_id>
+			</storage_medium>
+			<storage_type>sensible</storage_type>
+			<nominal_capacity/>
+			<losses_ratio/>
+            <heating_coil_capacity/>
+        </thermalStorages>
+        <thermalStorages>
+		    <storage_id>7</storage_id>
+			<name>template Hot Water Storage Tank with Heating Coil</name>
+			<type_energy_stored>thermal</type_energy_stored>
+			<model_name/>
+			<manufacturer/>
+			<maximum_operating_temperature>95.0</maximum_operating_temperature>
+            <insulation>
+				<material_id>1</material_id>
+				<insulationThickness>90.0</insulationThickness>
+			</insulation>
+            <physical_characteristics>
+				<material_id>2</material_id>
+				<tankThickness>0</tankThickness>
+				<height>1.5</height>
+				<tankMaterial>Steel</tankMaterial>
+				<volume/>
+			</physical_characteristics>
+            <storage_medium>
+				<medium_id>1</medium_id>
+			</storage_medium>
+			<storage_type>sensible</storage_type>
+			<nominal_capacity/>
+			<losses_ratio/>
+            <heating_coil_capacity>5000</heating_coil_capacity>
+        </thermalStorages>
+  </energy_storage_components>
+  <materials>
+    <material>
+		<material_id>1</material_id>
+		<name>Polyurethane</name>
+		<solar_absorptance/>
+		<thermal_absorptance/>
+		<visible_absorptance/>
+		<no_mass/>
+		<thermal_resistance/>
+		<density/>
+		<specific_heat/>
+		<conductivity>0.028</conductivity>
+	</material>
+    <material>
+		<material_id>2</material_id>
+		<name>Steel</name>
+		<solar_absorptance/>
+		<thermal_absorptance/>
+		<visible_absorptance/>
+		<no_mass/>
+		<thermal_resistance/>
+		<density/>
+		<specific_heat/>
+		<conductivity>18</conductivity>
+	</material>
+  </materials>
+  <distribution_systems>
+    <distribution_system/>
+  </distribution_systems>
+  <dissipation_systems>
+   <dissipation_system/>
+  </dissipation_systems>
+  <systems>
+	<system>
+		<id>1</id>
+		<name>Central gas system</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>1</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>2</id>
+		<name>Central Joule system</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>2</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>3</id>
+		<name>Central butane system</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>4</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>4</id>
+		<name>Single zone split system</name>
+		<schema/>
+		<demands>
+			<demand>cooling</demand>
+		</demands>
+		<components>
+			<generation_id>5</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>5</id>
+		<name>4 pipe heat pump system</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+			<demand>cooling</demand>
+		</demands>
+		<components>
+			<generation_id>3</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>6</id>
+		<name>PV</name>
+		<schema/>
+		<demands>
+			<demand>electricity</demand>
+		</demands>
+		<components>
+			<generation_id>7</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>7</id>
+		<name>Gas heating</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+		</demands>
+		<components>
+			<generation_id>1</generation_id>
+		</components>
+	</system>
+    <system>
+		<id>8</id>
+		<name>Electrical heating</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+		</demands>
+		<components>
+			<generation_id>2</generation_id>
+		</components>
+	</system>
+    <system>
+		<id>9</id>
+		<name>Butane heating</name>
+		<schema/>
+		<demands>
+			<demand>heating</demand>
+		</demands>
+		<components>
+			<generation_id>4</generation_id>
+		</components>
+	</system>
+	<system>
+		<id>10</id>
+		<name>Gas hot water system</name>
+		<schema/>
+		<demands>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>1</generation_id>
+		</components>
+	</system>
+    <system>
+		<id>11</id>
+		<name>Electrical hot water system</name>
+		<schema/>
+		<demands>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>2</generation_id>
+		</components>
+	</system>
+    <system>
+		<id>12</id>
+		<name>Butane hot water system</name>
+		<schema/>
+		<demands>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>4</generation_id>
+		</components>
+	</system>
+    <system>
+		<id>13</id>
+		<name>Heat Pump hot water system</name>
+		<schema/>
+		<demands>
+			<demand>domestic_hot_water</demand>
+		</demands>
+		<components>
+			<generation_id>6</generation_id>
+		</components>
+	</system>
+  </systems>
+
+  <system_archetypes>
+	<system_archetype id="1">
+		<name>Gas boiler for heating and hot water heater with split cooling</name>
+		<systems>
+			<system_id>1</system_id>
+			<system_id>4</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="2">
+		<name>Joule heater for heating and hot water heater with split cooling</name>
+		<systems>
+			<system_id>2</system_id>
+			<system_id>4</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="3">
+		<name>Butane heater for heating and hot water heater with split cooling</name>
+		<systems>
+			<system_id>3</system_id>
+			<system_id>4</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="4">
+		<name>Gas heating</name>
+		<systems>
+			<system_id>1</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="5">
+		<name>Electrical joule heating</name>
+		<systems>
+			<system_id>2</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="6">
+		<name>Butane heating</name>
+		<systems>
+			<system_id>3</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="7">
+		<name>Heat pump with gas water heater</name>
+		<systems>
+			<system_id>5</system_id>
+			<system_id>7</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="8">
+		<name>Heat pump with joule water heater</name>
+		<systems>
+			<system_id>5</system_id>
+			<system_id>8</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="9">
+		<name>Heat pump with butane water heater</name>
+		<systems>
+			<system_id>5</system_id>
+			<system_id>9</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="10">
+		<name>Heat pump with gas water heater and rooftop PV</name>
+		<systems>
+			<system_id>5</system_id>
+			<system_id>7</system_id>
+			<system_id>6</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="11">
+		<name>Heat pump with joule water heater and rooftop PV</name>
+		<systems>
+			<system_id>5</system_id>
+			<system_id>8</system_id>
+			<system_id>6</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="12">
+		<name>Rooftop PV</name>
+		<systems>
+			<system_id>6</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="13">
+		<name>Joule heater with split cooling and gas hot water</name>
+		<systems>
+			<system_id>4</system_id>
+			<system_id>8</system_id>
+			<system_id>10</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="14">
+		<name>Joule heater with split cooling and butane hot water</name>
+		<systems>
+			<system_id>4</system_id>
+			<system_id>8</system_id>
+			<system_id>12</system_id>
+		</systems>
+	</system_archetype>
+	<system_archetype id="15">
+		<name>PV and heat pump</name>
+		<systems>
+			<system_id>5</system_id>
+			<system_id>6</system_id>
+			<system_id>13</system_id>
+		</systems>
+	</system_archetype>
+  </system_archetypes>
+</EnergySystemCatalog>
+

hub/data/usage/palma_schedules.json

@@ -0,0 +1,904 @@
+{
+    "tables": {
+      "schedules": {
+        "data_type": "table",
+        "refs": [
+          "DBHE CTE Tabla b-Anejo D" 
+        ],
+        "table": [
+            {
+          
+                "name": "DBHE-CTE-Occupancy-sensible",
+                "category": "Occupancy",
+                "units": "FRACTION",
+                "day_types": "Default|Wkdy",
+                "start_date": "2014-01-01T00:00:00+00:00",
+                "end_date": "2014-12-31T00:00:00+00:00",
+                "type": "Hourly",
+                "notes": null,
+                "values": [
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.5,
+                  0.5,
+                  0.5,
+                  0.5,
+                  0.5,
+                  0.5,
+                  0.5,
+                  0.5,
+                  0.5,
+                  1
+                ]
+              },
+              {
+                
+                "name": "DBHE-CTE-Occupancy-sensible",
+                "category": "Occupancy",
+                "units": "FRACTION",
+                "day_types": "Sat",
+                "start_date": "2014-01-01T00:00:00+00:00",
+                "end_date": "2014-12-31T00:00:00+00:00",
+                "type": "Hourly",
+                "notes": null,
+                "values": [
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1
+                ]
+              },
+              {
+                
+                "name": "DBHE-CTE-Occupancy-sensible",
+                "category": "Occupancy",
+                "units": "FRACTION",
+                "day_types": "Sun|Hol",
+                "start_date": "2014-01-01T00:00:00+00:00",
+                "end_date": "2014-12-31T00:00:00+00:00",
+                "type": "Hourly",
+                "notes": null,
+                "values": [
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1,
+                    1
+                ]
+              },
+              {
+
+                "name": "DBHE-CTE-Occupancy-latent",
+                "category": "Occupancy",
+                "units": "FRACTION",
+                "day_types": "Default|Wkdy",
+                "start_date": "2014-01-01T00:00:00+00:00",
+                "end_date": "2014-12-31T00:00:00+00:00",
+                "type": "Hourly",
+                "notes": null,
+                "values": [
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  1,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.25,
+                  0.5,
+                  0.5,
+                  0.5,
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hub/data/usage/palma_space_compliance.json

@@ -0,0 +1,30 @@
+{
+    "tables": {
+      "space_compliance": {
+        "data_type": "table",
+        "refs": {
+          "lighting_per_area_w_per_m2": "DBHE-CTE Tabla b-Anejo D",
+          "occupancy_per_area_people_per_m2": "DBHE CTE Tabla b-Anejo D",
+          "occupancy_schedule": "DBHE-CTE Tabla b-Anejo D",
+          "electric_equipment_per_area_w_per_m2": "DBHE CTE Tabla b-Anejo D"
+        },
+        "tolerance": {
+          "lighting_per_area_w_per_m2": 1,
+          "occupancy_per_area_people_per_m2": 3,
+          "occupancy_schedule": null,
+          "electric_equipment_per_area_w_per_m2": 1
+        },
+        "table": [
+        {
+          "template": "DBHE-CTE",
+          "building_type": "residential",
+          "space_type": "WholeBuilding",
+          "lighting_per_area_w_per_m2": 4.4,
+          "occupancy_per_area_people_per_m2": 0.014333333,
+          "occupancy_schedule": "DBHE-CTE-Occupancy",
+          "electric_equipment_per_area_w_per_m2": 4.4,
+          "service_water_heating_peak_flow_per_area": 0.02272990107962068
+        }]
+        }
+    }
+}

hub/data/usage/palma_space_types.json

@@ -0,0 +1,97 @@
+{
+    "tables": {
+      "space_types": {
+        "data_type": "table",
+        "refs": [
+          "assumption"
+        ],
+        "table": [
+            {
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+                "space_type": "WholeBuilding",
+                "rgb": "255_255_255",
+                "lighting_standard": "DBHE-CTE",
+                "lighting_primary_space_type": "residential",
+                "lighting_secondary_space_type": "WholeBuilding",
+                "lighting_per_area": 4.4,
+                "lighting_per_person": null,
+                "additional_lighting_per_area": null,
+                "rel_absence_occ": 0.0,
+                "personal_control": 0.0,
+                "occ_sense": 0.0,
+                "lighting_fraction_to_return_air": 0.0,
+                "lighting_fraction_radiant": 0.5,
+                "lighting_fraction_visible": 0.2,
+                "lighting_fraction_replaceable": null,
+                "lpd_fractionlinear_fluorescent": 1.0,
+                "lpd_fractioncompact_fluorescent": null,
+                "lpd_fractionhigh_bay": null,
+                "lpd_fractionspecialty_lighting": null,
+                "lpd_fractionexit_lighting": null,
+                "lighting_schedule": "DBHE-CTE-Lighting",
+                "compact_fluorescent_lighting_schedule": null,
+                "high_bay_lighting_schedule": null,
+                "specialty_lighting_schedule": null,
+                "exit_lighting_schedule": null,
+                "target_illuminance_setpoint": 125,
+                "target_illuminance_setpoint_ref": null,
+                "psa_nongeometry_fraction": null,
+                "ssa_nongeometry_fraction": null,
+                "ventilation_standard": null,
+                "ventilation_primary_space_type": "residential",
+                "ventilation_secondary_space_type": "WholeBuilding",
+                "ventilation_per_area": 0,
+                "ventilation_per_person": 0,
+                "ventilation_air_changes": 0.4,
+                "minimum_total_air_changes": null,
+                "occupancy_per_area": 2.15,
+                "occupancy_schedule": "DBHE-CTE-Occupancy-sensible",
+                "occupancy_activity_schedule": null,
+                "infiltration_per_exterior_area": 0.4,
+                "infiltration_per_exterior_wall_area": null,
+                "infiltration_air_changes": null,
+                "infiltration_schedule": "Always On",
+                "infiltration_schedule_perimeter": null,
+                "gas_equipment_per_area": null,
+                "gas_equipment_fraction_latent": null,
+                "gas_equipment_fraction_radiant": null,
+                "gas_equipment_fraction_lost": null,
+                "gas_equipment_schedule": null,
+                "electric_equipment_per_area": 4.4,
+                "electric_equipment_fraction_latent": 0.0,
+                "electric_equipment_fraction_radiant": 0.5,
+                "electric_equipment_fraction_lost": 0.0,
+                "electric_equipment_schedule": "DBHE-CTE-Equipment",
+                "additional_electric_equipment_schedule": null,
+                "additional_gas_equipment_schedule": null,
+                "heating_setpoint_schedule": "DBHE-CTE-Thermostat Setpoint-Heating",
+                "cooling_setpoint_schedule": "DBHE-CTE-Thermostat Setpoint-Cooling",
+                "service_water_heating_peak_flow_rate": null,
+                "service_water_heating_area": null,
+                "service_water_heating_peak_flow_per_area": 0.009385225,
+                "service_water_heating_target_temperature": 60.0,
+                "service_water_heating_fraction_sensible": null,
+                "service_water_heating_fraction_latent": null,
+                "service_water_heating_schedule": "DBHE-CTE-Service Water Heating",
+                "exhaust_per_area": null,
+                "exhaust_fan_efficiency": null,
+                "exhaust_fan_power": null,
+                "exhaust_fan_pressure_rise": null,
+                "exhaust_fan_maximum_flow_rate": null,
+                "exhaust_schedule": null,
+                "balanced_exhaust_fraction_schedule": null,
+                "is_residential": null,
+                "necb_hvac_system_selection_type": "residential",
+                "necb_schedule_type": "G",
+                "notes": null,
+                "ventilation_occupancy_rate_people_per_1000ft2": 10,
+                "ventilation_occupancy_standard": null,
+                "ventilation_standard_space_type": null,
+                "sensible_convective_internal_gain": 0.86,
+                "sensible_radiative_internal_gain": 1.29,
+                "latent_internal_gain": 1.36
+            }
+        ]
+      }
+    }
+}

hub/exports/building_energy/cerc_idf.py

@@ -0,0 +1,248 @@
+"""
+Cerc Idf exports one city or some buildings to idf format
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Guille Guillermo.GutierrezMorote@concordia.ca
+Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+                   Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
+"""
+import copy
+import os
+import shutil
+import subprocess
+
+import hub.exports.building_energy.idf_helper as idf_cte
+import hub.helpers.constants as cte
+from hub.city_model_structure.attributes.schedule import Schedule
+from hub.exports.building_energy.idf_helper.idf_appliance import IdfAppliance
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+from hub.exports.building_energy.idf_helper.idf_construction import IdfConstruction
+from hub.exports.building_energy.idf_helper.idf_dhw import IdfDhw
+from hub.exports.building_energy.idf_helper.idf_file_schedule import IdfFileSchedule
+from hub.exports.building_energy.idf_helper.idf_heating_system import IdfHeatingSystem
+from hub.exports.building_energy.idf_helper.idf_infiltration import IdfInfiltration
+from hub.exports.building_energy.idf_helper.idf_lighting import IdfLighting
+from hub.exports.building_energy.idf_helper.idf_material import IdfMaterial
+from hub.exports.building_energy.idf_helper.idf_occupancy import IdfOccupancy
+from hub.exports.building_energy.idf_helper.idf_schedule import IdfSchedule
+from hub.exports.building_energy.idf_helper.idf_shading import IdfShading
+from hub.exports.building_energy.idf_helper.idf_surfaces import IdfSurfaces
+from hub.exports.building_energy.idf_helper.idf_thermostat import IdfThermostat
+from hub.exports.building_energy.idf_helper.idf_ventilation import IdfVentilation
+from hub.exports.building_energy.idf_helper.idf_window import IdfWindow
+from hub.exports.building_energy.idf_helper.idf_windows_constructions import IdfWindowsConstructions
+from hub.exports.building_energy.idf_helper.idf_windows_material import IdfWindowsMaterial
+from hub.exports.building_energy.idf_helper.idf_zone import IdfZone
+
+
+class CercIdf(IdfBase):
+  """
+  Exports city to IDF
+  """
+
+  _schedules_added_to_idf = {}
+  _materials_added_to_idf = {}
+  _windows_added_to_idf = {}
+  _constructions_added_to_idf = {}
+  _thermostat_added_to_idf = {}
+
+  def __init__(self, city, output_path, idf_file_path, idd_file_path, epw_file_path, target_buildings=None):
+    super().__init__(city, output_path, idf_file_path, idd_file_path, epw_file_path, target_buildings)
+    self._add_surfaces = IdfSurfaces.add
+    self._add_file_schedule = IdfFileSchedule.add
+    self._add_idf_schedule = IdfSchedule.add
+    self._add_construction = IdfConstruction.add
+    self._add_material = IdfMaterial.add
+    self._add_windows_material = IdfWindowsMaterial.add
+    self._add_windows_constructions = IdfWindowsConstructions.add
+    self._add_occupancy = IdfOccupancy.add
+    self._add_lighting = IdfLighting.add
+    self._add_appliance = IdfAppliance.add
+    self._add_infiltration = IdfInfiltration.add
+    self._add_infiltration_surface = IdfInfiltration.add_surface
+    self._add_ventilation = IdfVentilation.add
+    self._add_zone = IdfZone.add
+    self._add_thermostat = IdfThermostat.add
+    self._add_heating_system = IdfHeatingSystem.add
+    self._add_dhw = IdfDhw.add
+    self._add_shading = IdfShading.add
+    self._add_windows = IdfWindow.add
+
+    with open(self._idf_file_path, 'r', encoding='UTF-8') as base_idf:
+      lines = base_idf.readlines()
+    # Change city name
+    comment = f'    !- Name'
+    field = f'    Buildings in {self._city.name},'.ljust(26, ' ')
+    lines[15] = f'{field}{comment}\n'
+    with open(self._output_file_path, 'w', encoding='UTF-8') as self._idf_file:
+      self._idf_file.writelines(lines)
+      self._export()
+
+  def _create_geometry_rules(self):
+    file = self._files['constructions']
+    self._write_to_idf_format(file, idf_cte.GLOBAL_GEOMETRY_RULES)
+    self._write_to_idf_format(file, 'UpperLeftCorner', 'Starting Vertex Position')
+    self._write_to_idf_format(file, 'CounterClockWise', 'Vertex Entry Direction')
+    self._write_to_idf_format(file, 'World', 'Coordinate System', ';')
+
+  def _merge_files(self):
+    for file in self._files.values():
+      file.close()
+    for path in self._file_paths.values():
+      with open(path, 'r', encoding='UTF-8') as file:
+        lines = file.readlines()
+      self._idf_file.writelines(lines)
+    for path in self._file_paths.values():
+      os.unlink(path)
+
+  def _add_outputs(self):
+    with open(self._outputs_file_path, 'r', encoding='UTF-8') as base_idf:
+      lines = base_idf.readlines()
+    self._idf_file.writelines(lines)
+
+  @staticmethod
+  def _create_infiltration_schedules(thermal_zone):
+    _infiltration_schedules = []
+    if thermal_zone.thermal_control is None:
+      return []
+    for hvac_availability_schedule in thermal_zone.thermal_control.hvac_availability_schedules:
+      _schedule = Schedule()
+      _schedule.type = cte.INFILTRATION
+      _schedule.data_type = cte.FRACTION
+      _schedule.time_step = cte.HOUR
+      _schedule.time_range = cte.DAY
+      _schedule.day_types = copy.deepcopy(hvac_availability_schedule.day_types)
+      _infiltration_values = []
+      for hvac_value in hvac_availability_schedule.values:
+        if hvac_value == 0:
+          _infiltration_values.append(1.0)
+        else:
+          if thermal_zone.infiltration_rate_system_off == 0:
+            _infiltration_values.append(0.0)
+          else:
+            _infiltration_values.append(
+              thermal_zone.infiltration_rate_system_on / thermal_zone.infiltration_rate_system_off)
+      _schedule.values = _infiltration_values
+      _infiltration_schedules.append(_schedule)
+    return _infiltration_schedules
+
+  @staticmethod
+  def _create_ventilation_schedules(thermal_zone):
+    _ventilation_schedules = []
+    if thermal_zone.thermal_control is None:
+      return []
+    for hvac_availability_schedule in thermal_zone.thermal_control.hvac_availability_schedules:
+      _schedule = Schedule()
+      _schedule.type = cte.VENTILATION
+      _schedule.data_type = cte.FRACTION
+      _schedule.time_step = cte.HOUR
+      _schedule.time_range = cte.DAY
+      _schedule.day_types = copy.deepcopy(hvac_availability_schedule.day_types)
+      _ventilation_schedules = thermal_zone.thermal_control.hvac_availability_schedules
+    return _ventilation_schedules
+
+  @staticmethod
+  def _create_constant_value_schedules(value, amount):
+    _schedule = Schedule()
+    _schedule.type = ''
+    _schedule.data_type = cte.ANY_NUMBER
+    _schedule.time_step = cte.HOUR
+    _schedule.time_range = cte.DAY
+    _schedule.day_types = ['monday',
+                           'tuesday',
+                           'wednesday',
+                           'thursday',
+                           'friday',
+                           'saturday',
+                           'sunday',
+                           'holiday',
+                           'winter_design_day',
+                           'summer_design_day']
+    _schedule.values = [value for _ in range(0, amount)]
+    return [_schedule]
+
+  def _export(self):
+
+    for building in self._city.buildings:
+      is_target = building.name in self._target_buildings or building.name in self._adjacent_buildings
+      for internal_zone in building.internal_zones:
+        if internal_zone.thermal_zones_from_internal_zones is None:
+          is_target = False
+          continue
+        for thermal_zone in internal_zone.thermal_zones_from_internal_zones:
+          if is_target:
+            service_temperature = thermal_zone.domestic_hot_water.service_temperature
+            usage = thermal_zone.usage_name
+            occ = thermal_zone.occupancy
+            if occ.occupancy_density == 0:
+              total_heat = 0
+            else:
+              total_heat = (
+                             occ.sensible_convective_internal_gain +
+                             occ.sensible_radiative_internal_gain +
+                             occ.latent_internal_gain
+                           ) / occ.occupancy_density
+            self._add_idf_schedule(self, usage, 'Infiltration', self._create_infiltration_schedules(thermal_zone))
+            self._add_idf_schedule(self, usage, 'Ventilation', self._create_ventilation_schedules(thermal_zone))
+            self._add_idf_schedule(self, usage, 'Occupancy', thermal_zone.occupancy.occupancy_schedules)
+            self._add_idf_schedule(self, usage, 'HVAC AVAIL', thermal_zone.thermal_control.hvac_availability_schedules)
+            self._add_idf_schedule(self, usage, 'Heating thermostat',
+                                   thermal_zone.thermal_control.heating_set_point_schedules)
+            self._add_idf_schedule(self, usage, 'Cooling thermostat',
+                                   thermal_zone.thermal_control.cooling_set_point_schedules)
+            self._add_idf_schedule(self, usage, 'Lighting', thermal_zone.lighting.schedules)
+            self._add_idf_schedule(self, usage, 'Appliance', thermal_zone.appliances.schedules)
+            self._add_idf_schedule(self, usage, 'DHW_prof', thermal_zone.domestic_hot_water.schedules)
+            self._add_idf_schedule(self, usage, 'DHW_temp',
+                                   self._create_constant_value_schedules(service_temperature, 24))
+            self._add_idf_schedule(self, usage, 'Activity Level', self._create_constant_value_schedules(total_heat, 24))
+            self._add_file_schedule(self, usage, 'cold_temp',
+                                    self._create_constant_value_schedules(building.cold_water_temperature[cte.HOUR],
+                                                                          24))
+            for thermal_boundary in thermal_zone.thermal_boundaries:
+              self._add_material(self, thermal_boundary)
+              self._add_construction(self, thermal_boundary)
+              for thermal_opening in thermal_boundary.thermal_openings:
+                self._add_windows_material(self, thermal_boundary, thermal_opening)
+                self._add_windows_constructions(self, thermal_boundary)
+            self._add_zone(self, thermal_zone, building.name)
+            self._add_occupancy(self, thermal_zone, building.name)
+            self._add_lighting(self, thermal_zone, building.name)
+            self._add_appliance(self, thermal_zone, building.name)
+            if self._calculate_with_new_infiltration:  # ToDo: Check with oriol if we want to keep the old method too
+              self._add_infiltration_surface(self, thermal_zone, building.name)
+            else:
+              self._add_infiltration(self, thermal_zone, building.name)
+            self._add_ventilation(self, thermal_zone, building.name)
+            self._add_thermostat(self, thermal_zone)
+            self._add_heating_system(self, thermal_zone, building.name)
+            self._add_dhw(self, thermal_zone, building.name)
+      if is_target:
+        self._add_surfaces(self, building, building.name)
+        self._add_windows(self, building)
+      else:
+        self._add_shading(self, building)
+
+    self._create_output_control_lighting()  # Add lighting control to the lighting
+
+    # Create base values
+    self._create_geometry_rules()
+
+    # Merge files
+    self._merge_files()
+    self._add_outputs()
+
+  @property
+  def _energy_plus(self):
+    return shutil.which('energyplus')
+
+  def run(self):
+    cmd = [self._energy_plus,
+           '--weather', self._epw_file_path,
+           '--output-directory', self._output_path,
+           '--idd', self._idd_file_path,
+           '--expandobjects',
+           '--readvars',
+           '--output-prefix', f'{self._city.name}_',
+           self._output_file_path]
+    subprocess.run(cmd, cwd=self._output_path)

hub/exports/building_energy/energy_ade.py

@@ -169,7 +169,7 @@ class EnergyAde:
   def _building_geometry(self, building, building_dic, city):
 
     building_dic['bldg:Building']['bldg:function'] = building.function
-    building_dic['bldg:Building']['bldg:usage'] = building.usages_percentage
+    building_dic['bldg:Building']['bldg:usage'] = building.usages
     building_dic['bldg:Building']['bldg:yearOfConstruction'] = building.year_of_construction
     building_dic['bldg:Building']['bldg:roofType'] = building.roof_type
     building_dic['bldg:Building']['bldg:measuredHeight'] = {

hub/exports/building_energy/idf.py

@@ -8,10 +8,12 @@ Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concord
 """
 import copy
 import datetime
-import glob
-import os
+import shutil
+import subprocess
 from pathlib import Path
+
 from geomeppy import IDF
+
 import hub.helpers.constants as cte
 from hub.city_model_structure.attributes.schedule import Schedule
 from hub.city_model_structure.building_demand.thermal_zone import ThermalZone
@@ -107,6 +109,7 @@ class Idf:
     else:
       for building_name in target_buildings:
         building = city.city_object(building_name)
+        print('Name: ', building_name)
         if building.neighbours is not None:
           self._adjacent_buildings += building.neighbours
     self._export()
@@ -331,6 +334,7 @@ class Idf:
       for material in self._idf.idfobjects[self._MATERIAL]:
         if material.Name == "DefaultMaterial":
           return
+
       self._idf.set_default_constructions()
       return
     for layer in thermal_boundary.layers:
@@ -392,9 +396,9 @@ class Idf:
     thermostat = self._add_thermostat(thermal_zone)
     self._idf.newidfobject(self._IDEAL_LOAD_AIR_SYSTEM,
                            Zone_Name=zone_name,
-                           System_Availability_Schedule_Name=f'HVAC AVAIL SCHEDULES {thermal_zone.usage_name}',
-                           Heating_Availability_Schedule_Name=f'HVAC AVAIL SCHEDULES {thermal_zone.usage_name}',
-                           Cooling_Availability_Schedule_Name=f'HVAC AVAIL SCHEDULES {thermal_zone.usage_name}',
+                           System_Availability_Schedule_Name=f'Thermostat_availability schedules {thermal_zone.usage_name}',
+                           Heating_Availability_Schedule_Name=f'Thermostat_availability schedules {thermal_zone.usage_name}',
+                           Cooling_Availability_Schedule_Name=f'Thermostat_availability schedules {thermal_zone.usage_name}',
                            Template_Thermostat_Name=thermostat.Name)
 
   def _add_occupancy(self, thermal_zone, zone_name):
@@ -443,7 +447,7 @@ class Idf:
     subcategory = f'ELECTRIC EQUIPMENT#{zone_name}#InteriorEquipment'
     self._idf.newidfobject(self._APPLIANCES,
                            Fuel_Type=fuel_type,
-                           Name=f'{zone_name}_appliance',
+                           Name=zone_name,
                            Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
                            Schedule_Name=f'Appliance schedules {thermal_zone.usage_name}',
                            Design_Level_Calculation_Method=method,
@@ -454,7 +458,7 @@ class Idf:
                            )
 
   def _add_infiltration(self, thermal_zone, zone_name):
-    schedule = f'Infiltration schedules {thermal_zone.usage_name}'
+    schedule = f'INF_CONST schedules {thermal_zone.usage_name}'
     _infiltration = thermal_zone.infiltration_rate_system_off * cte.HOUR_TO_SECONDS
     self._idf.newidfobject(self._INFILTRATION,
                            Name=f'{zone_name}_infiltration',
@@ -464,6 +468,17 @@ class Idf:
                            Air_Changes_per_Hour=_infiltration
                            )
 
+  def _add_infiltration_surface(self, thermal_zone, zone_name):
+    schedule = f'INF_CONST schedules {thermal_zone.usage_name}'
+    _infiltration = thermal_zone.infiltration_rate_area_system_off* cte.INFILTRATION_75PA_TO_4PA
+    self._idf.newidfobject(self._INFILTRATION,
+                           Name=f'{zone_name}_infiltration',
+                           Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
+                           Schedule_Name=schedule,
+                           Design_Flow_Rate_Calculation_Method='Flow/ExteriorWallArea',
+                           Flow_Rate_per_Exterior_Surface_Area=_infiltration
+                           )
+
   def _add_ventilation(self, thermal_zone, zone_name):
     schedule = f'Ventilation schedules {thermal_zone.usage_name}'
     _air_change = thermal_zone.mechanical_air_change * cte.HOUR_TO_SECONDS
@@ -489,7 +504,7 @@ class Idf:
                            )
 
   def _rename_building(self, city_name):
-    name = str(str(city_name.encode("utf-8")))
+    name = str(city_name.encode("utf-8"))
     for building in self._idf.idfobjects[self._BUILDING]:
       building.Name = f'Buildings in {name}'
       building['Solar_Distribution'] = 'FullExterior'
@@ -516,11 +531,12 @@ class Idf:
     self._remove_sizing_periods()
     self._rename_building(self._city.name)
     self._lod = self._city.level_of_detail.geometry
+    is_target = False
     for building in self._city.buildings:
       is_target = building.name in self._target_buildings or building.name in self._adjacent_buildings
       for internal_zone in building.internal_zones:
         if internal_zone.thermal_zones_from_internal_zones is None:
-          self._target_buildings.remoidf_surface_typeve(building.name)
+          self._target_buildings.remove(building.name)
           is_target = False
           continue
         for thermal_zone in internal_zone.thermal_zones_from_internal_zones:
@@ -549,9 +565,12 @@ class Idf:
             self._add_schedules(usage, 'DHW_prof', thermal_zone.domestic_hot_water.schedules)
             _new_schedules = self._create_yearly_values_schedules('cold_temp', building.cold_water_temperature[cte.HOUR])
             self._add_schedules(usage, 'cold_temp', _new_schedules)
-
             _new_schedules = self._create_constant_value_schedules('DHW_temp', service_temperature)
             self._add_schedules(usage, 'DHW_temp', _new_schedules)
+            _new_schedules = self._create_constant_value_schedules('INF_CONST', 1)
+            self._add_schedules(usage, 'INF_CONST', _new_schedules)
+            _new_schedules = self._create_constant_value_schedules('Thermostat_availability', 1)
+            self._add_schedules(usage, 'Thermostat_availability', _new_schedules)
             _occ = thermal_zone.occupancy
             if _occ.occupancy_density == 0:
               _total_heat = 0
@@ -562,7 +581,7 @@ class Idf:
             self._add_schedules(usage, 'Activity Level', _new_schedules)
             self._add_zone(thermal_zone, building.name)
             self._add_heating_system(thermal_zone, building.name)
-            self._add_infiltration(thermal_zone, building.name)
+            self._add_infiltration_surface(thermal_zone, building.name)
             self._add_ventilation(thermal_zone, building.name)
             self._add_occupancy(thermal_zone, building.name)
             self._add_lighting(thermal_zone, building.name)
@@ -571,9 +590,7 @@ class Idf:
       if self._export_type == "Surfaces":
         if is_target:
           if building.thermal_zones_from_internal_zones is not None:
-            start = datetime.datetime.now()
             self._add_surfaces(building, building.name)
-            print(f'add surfaces {datetime.datetime.now() - start}')
           else:
             self._add_pure_geometry(building, building.name)
         else:
@@ -611,6 +628,18 @@ class Idf:
       Reporting_Frequency="Hourly",
     )
 
+    self._idf.newidfobject(
+      "OUTPUT:VARIABLE",
+      Variable_Name="Zone Air Temperature",
+      Reporting_Frequency="Hourly",
+    )
+
+    self._idf.newidfobject(
+      "OUTPUT:VARIABLE",
+      Variable_Name="Zone Air Relative Humidity",
+      Reporting_Frequency="Hourly",
+    )
+
     # post-process to erase windows associated to adiabatic walls
     windows_list = []
     for window in self._idf.idfobjects[self._WINDOW]:
@@ -624,14 +653,26 @@ class Idf:
       self._idf.removeidfobject(window)
 
     self._idf.saveas(str(self._output_file))
+    for building in self._city.buildings:
+      if self._export_type == "Surfaces":
+        if is_target and building.thermal_zones_from_internal_zones is not None:
+          self._add_surfaces(building, building.name)
     return self._idf
 
+  @property
+  def _energy_plus(self):
+    return shutil.which('energyplus')
+
   def run(self):
-    """
-    Start the energy plus simulation
-    """
-    self._idf.run(expandobjects=False, readvars=True, output_directory=self._output_path,
-                  output_prefix=f'{self._city.name}_')
+    cmd = [self._energy_plus,
+           '--weather', self._epw_file_path,
+           '--output-directory', self._output_path,
+           '--idd', self._idd_file_path,
+           '--expandobjects',
+           '--readvars',
+           '--output-prefix', f'{self._city.name}_',
+           self._idf_file_path]
+    subprocess.run(cmd, cwd=self._output_path)
 
   def _add_block(self, building):
     _points = self._matrix_to_2d_list(building.foot_print.coordinates)
@@ -700,7 +741,10 @@ class Idf:
     else:
       # idf only allows setting wwr for external walls
       wwr = 0
-      self._idf.set_wwr(wwr)
+      try:
+        self._idf.set_wwr(wwr, construction='window_construction_1')
+      except ValueError:
+        self._idf.set_wwr(0, construction='window_construction_1')
 
   def _add_surfaces(self, building, zone_name):
     for thermal_zone in building.thermal_zones_from_internal_zones:
@@ -731,13 +775,11 @@ class Idf:
         else:
           construction_name = f'{boundary.construction_name} {boundary.parent_surface.type}'
         _kwargs['Construction_Name'] = construction_name
-
+        start = datetime.datetime.now()
         surface = self._idf.newidfobject(self._SURFACE, **_kwargs)
-
         coordinates = self._matrix_to_list(boundary.parent_surface.solid_polygon.coordinates,
                                            self._city.lower_corner)
         surface.setcoords(coordinates)
-
     if self._lod >= 3:
       for internal_zone in building.internal_zones:
         for thermal_zone in internal_zone.thermal_zones_from_internal_zones:
@@ -749,7 +791,10 @@ class Idf:
       for surface in building.surfaces:
         if surface.type == cte.WALL:
           wwr = surface.associated_thermal_boundaries[0].window_ratio
+      try:
         self._idf.set_wwr(wwr, construction='window_construction_1')
+      except ValueError:
+        self._idf.set_wwr(0, construction='window_construction_1')
 
   def _add_windows_by_vertices(self, boundary):
     raise NotImplementedError

hub/exports/building_energy/idf_files/base.idf

@@ -0,0 +1,62 @@
+!- Linux Line endings
+
+Version,
+    24.1;                     !- Version Identifier
+
+SimulationControl,
+    No,                       !- Do Zone Sizing Calculation
+    No,                       !- Do System Sizing Calculation
+    No,                       !- Do Plant Sizing Calculation
+    No,                       !- Run Simulation for Sizing Periods
+    Yes,                      !- Run Simulation for Weather File Run Periods
+    No,                       !- Do HVAC Sizing Simulation for Sizing Periods
+    1;                        !- Maximum Number of HVAC Sizing Simulation Passes
+
+Building,
+    Buildings in #CITY#,    !- Name
+    0,                        !- North Axis
+    Suburbs,                  !- Terrain
+    0.04,                     !- Loads Convergence Tolerance Value
+    0.4,                      !- Temperature Convergence Tolerance Value
+    FullExterior,             !- Solar Distribution
+    25,                       !- Maximum Number of Warmup Days
+    6;                        !- Minimum Number of Warmup Days
+
+Timestep,
+    4;                        !- Number of Timesteps per Hour
+
+RunPeriod,
+    Run Period 1,             !- Name
+    1,                        !- Begin Month
+    1,                        !- Begin Day of Month
+    ,                         !- Begin Year
+    12,                       !- End Month
+    31,                       !- End Day of Month
+    ,                         !- End Year
+    Tuesday,                  !- Day of Week for Start Day
+    Yes,                      !- Use Weather File Holidays and Special Days
+    Yes,                      !- Use Weather File Daylight Saving Period
+    No,                       !- Apply Weekend Holiday Rule
+    Yes,                      !- Use Weather File Rain Indicators
+    Yes;                      !- Use Weather File Snow Indicators
+
+SCHEDULETYPELIMITS,
+    Any Number,               !- Name
+    ,                         !- Lower Limit Value
+    ,                         !- Upper Limit Value
+    ,                         !- Numeric Type
+    Dimensionless;            !- Unit Type
+
+SCHEDULETYPELIMITS,
+    Fraction,                 !- Name
+    0,                        !- Lower Limit Value
+    1,                        !- Upper Limit Value
+    Continuous,               !- Numeric Type
+    Dimensionless;            !- Unit Type
+
+SCHEDULETYPELIMITS,
+    On/Off,                   !- Name
+    0,                        !- Lower Limit Value
+    1,                        !- Upper Limit Value
+    Discrete,                 !- Numeric Type
+    Dimensionless;            !- Unit Type

hub/exports/building_energy/idf_files/outputs.idf

@@ -0,0 +1,74 @@
+
+Output:Table:SummaryReports,
+    AnnualBuildingUtilityPerformanceSummary,    !- Report 1 Name
+    DemandEndUseComponentsSummary,    !- Report 2 Name
+    SensibleHeatGainSummary,    !- Report 3 Name
+    InputVerificationandResultsSummary,    !- Report 4 Name
+    AdaptiveComfortSummary,    !- Report 5 Name
+    Standard62.1Summary,      !- Report 6 Name
+    ClimaticDataSummary,      !- Report 7 Name
+    EquipmentSummary,         !- Report 8 Name
+    EnvelopeSummary,          !- Report 9 Name
+    LightingSummary,          !- Report 10 Name
+    HVACSizingSummary,        !- Report 11 Name
+    SystemSummary,            !- Report 12 Name
+    ComponentSizingSummary,    !- Report 13 Name
+    OutdoorAirSummary,        !- Report 14 Name
+    ObjectCountSummary,       !- Report 15 Name
+    EndUseEnergyConsumptionOtherFuelsMonthly,    !- Report 16 Name
+    PeakEnergyEndUseOtherFuelsMonthly;    !- Report 17 Name
+
+OutputControl:Table:Style,
+    CommaAndHTML,             !- Column Separator
+    JtoKWH;                   !- Unit Conversion
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Zone Ideal Loads Supply Air Total Heating Energy,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Zone Ideal Loads Supply Air Total Cooling Energy,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Water Use Equipment Heating Rate,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Zone Lights Electricity Rate,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Other Equipment Electricity Rate,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Zone Air Temperature,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+OUTPUT:VARIABLE,
+    *,                        !- Key Value
+    Zone Air Relative Humidity,    !- Variable Name
+    Hourly;                   !- Reporting Frequency
+
+Output:Meter,
+    DISTRICTHEATING:Facility,    !- Key Name
+    hourly;                   !- Reporting Frequency
+
+Output:Meter,
+    DISTRICTCOOLING:Facility,    !- Key Name
+    hourly;                   !- Reporting Frequency
+
+Output:Meter,
+    InteriorEquipment:Electricity,    !- Key Name
+    hourly;                   !- Reporting Frequency
+
+Output:Meter,
+    InteriorLights:Electricity,    !- Key Name
+    hourly;                   !- Reporting Frequency

hub/exports/building_energy/idf_helper/__init__.py

@@ -0,0 +1,60 @@
+import hub.helpers.constants as cte
+
+BUILDING_SURFACE = '\nBUILDINGSURFACE:DETAILED,\n'
+WINDOW_SURFACE = '\nFENESTRATIONSURFACE:DETAILED,\n'
+COMPACT_SCHEDULE = '\nSCHEDULE:COMPACT,\n'
+FILE_SCHEDULE = '\nSCHEDULE:FILE,\n'
+NOMASS_MATERIAL = '\nMATERIAL:NOMASS,\n'
+SOLID_MATERIAL = '\nMATERIAL,\n'
+WINDOW_MATERIAL = '\nWINDOWMATERIAL:SIMPLEGLAZINGSYSTEM,\n'
+CONSTRUCTION = '\nCONSTRUCTION,\n'
+ZONE = '\nZONE,\n'
+GLOBAL_GEOMETRY_RULES = '\nGlobalGeometryRules,\n'
+PEOPLE = '\nPEOPLE,\n'
+LIGHTS = '\nLIGHTS,\n'
+APPLIANCES = '\nOTHEREQUIPMENT,\n'
+OUTPUT_CONTROL = '\nOutputControl:IlluminanceMap:Style,\n'
+INFILTRATION = '\nZONEINFILTRATION:DESIGNFLOWRATE,\n'
+VENTILATION = '\nZONEVENTILATION:DESIGNFLOWRATE,\n'
+THERMOSTAT = '\nHVACTEMPLATE:THERMOSTAT,\n'
+IDEAL_LOAD_SYSTEM = '\nHVACTEMPLATE:ZONE:IDEALLOADSAIRSYSTEM,\n'
+DHW = '\nWATERUSE:EQUIPMENT,\n'
+SHADING = '\nSHADING:BUILDING:DETAILED,\n'
+
+AUTOCALCULATE = 'autocalculate'
+ROUGHNESS = 'MediumRough'
+OUTDOORS = 'Outdoors'
+GROUND = 'Ground'
+SURFACE = 'Surface'
+SUN_EXPOSED = 'SunExposed'
+WIND_EXPOSED = 'WindExposed'
+NON_SUN_EXPOSED = 'NoSun'
+NON_WIND_EXPOSED = 'NoWind'
+EMPTY = ''
+
+idf_surfaces_dictionary = {
+  cte.WALL: 'wall',
+  cte.GROUND: 'floor',
+  cte.ROOF: 'roof'
+}
+
+idf_type_limits = {
+  cte.ON_OFF: 'on/off',
+  cte.FRACTION: 'Fraction',
+  cte.ANY_NUMBER: 'Any Number',
+  cte.CONTINUOUS: 'Continuous',
+  cte.DISCRETE: 'Discrete'
+}
+
+idf_day_types = {
+  cte.MONDAY: 'Monday',
+  cte.TUESDAY: 'Tuesday',
+  cte.WEDNESDAY: 'Wednesday',
+  cte.THURSDAY: 'Thursday',
+  cte.FRIDAY: 'Friday',
+  cte.SATURDAY: 'Saturday',
+  cte.SUNDAY: 'Sunday',
+  cte.HOLIDAY: 'Holidays',
+  cte.WINTER_DESIGN_DAY: 'WinterDesignDay',
+  cte.SUMMER_DESIGN_DAY: 'SummerDesignDay'
+}

hub/exports/building_energy/idf_helper/idf_appliance.py

@@ -0,0 +1,26 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfAppliance(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    schedule_name = f'Appliance schedules {thermal_zone.usage_name}'
+    storeys_number = int(thermal_zone.total_floor_area / thermal_zone.footprint_area)
+    watts_per_zone_floor_area = thermal_zone.appliances.density * storeys_number
+    subcategory = f'ELECTRIC EQUIPMENT#{zone_name}#InteriorEquipment'
+    file = self._files['appliances']
+    self._write_to_idf_format(file, idf_cte.APPLIANCES)
+    self._write_to_idf_format(file, zone_name, 'Name')
+    self._write_to_idf_format(file, 'Electricity', 'Fuel Type')
+    self._write_to_idf_format(file, zone_name, 'Zone or ZoneList or Space or SpaceList Name')
+    self._write_to_idf_format(file, schedule_name, 'Schedule Name')
+    self._write_to_idf_format(file, 'Watts/Area', 'Design Level Calculation Method')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Design Level')
+    self._write_to_idf_format(file, watts_per_zone_floor_area, 'Power per Zone Floor Area')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Power per Person')
+    self._write_to_idf_format(file, thermal_zone.appliances.latent_fraction, 'Fraction Latent')
+    self._write_to_idf_format(file, thermal_zone.appliances.radiative_fraction, 'Fraction Radiant')
+    self._write_to_idf_format(file, 0, 'Fraction Lost')
+    self._write_to_idf_format(file, 0, 'Carbon Dioxide Generation Rate')
+    self._write_to_idf_format(file, subcategory, 'EndUse Subcategory', ';')

hub/exports/building_energy/idf_helper/idf_base.py

@@ -0,0 +1,78 @@
+import os
+from pathlib import Path
+
+import hub.exports.building_energy.idf_helper as idf_cte
+
+
+class IdfBase:
+  def __init__(self, city, output_path, idf_file_path, idd_file_path, epw_file_path, target_buildings=None,
+               _calculate_with_new_infiltration=True):
+    self._city = city
+    self._output_path = str(output_path.resolve())
+    self._output_file_path = str((output_path / f'{city.name}.idf').resolve())
+
+    self._file_paths = {
+      'schedules': str((output_path / 'schedules.idf').resolve()),
+      'file_schedules': str((output_path / 'file_schedules.idf').resolve()),
+      'solid_materials': str((output_path / 'solid_materials.idf').resolve()),
+      'nomass_materials': str((output_path / 'nomass_materials.idf').resolve()),
+      'window_materials': str((output_path / 'window_materials.idf').resolve()),
+      'constructions': str((output_path / 'constructions.idf').resolve()),
+      'zones': str((output_path / 'zones.idf').resolve()),
+      'surfaces': str((output_path / 'surfaces.idf').resolve()),
+      'fenestration': str((output_path / 'fenestration.idf').resolve()),
+      'occupancy': str((output_path / 'occupancy.idf').resolve()),
+      'lighting': str((output_path / 'lights.idf').resolve()),
+      'appliances': str((output_path / 'appliances.idf').resolve()),
+      'shading': str((output_path / 'shading.idf').resolve()),
+      'infiltration': str((output_path / 'infiltration.idf').resolve()),
+      'ventilation': str((output_path / 'ventilation.idf').resolve()),
+      'thermostat': str((output_path / 'thermostat.idf').resolve()),
+      'ideal_load_system': str((output_path / 'ideal_load_system.idf').resolve()),
+      'dhw': str((output_path / 'dhw.idf').resolve()),
+    }
+    self._files = {}
+    for key, value in self._file_paths.items():
+      self._files[key] = open(value, 'w', encoding='UTF-8')
+
+    self._idd_file_path = str(idd_file_path)
+    self._idf_file_path = str(idf_file_path)
+    self._outputs_file_path = str(Path(idf_file_path).parent / 'outputs.idf')
+    self._epw_file_path = str(epw_file_path)
+
+    self._target_buildings = target_buildings
+    self._adjacent_buildings = []
+
+    if target_buildings is None:
+      self._target_buildings = [building.name for building in self._city.buildings]
+    else:
+      for building_name in target_buildings:
+        building = city.city_object(building_name)
+        if building.neighbours is not None:
+          self._adjacent_buildings += building.neighbours
+    self._calculate_with_new_infiltration = _calculate_with_new_infiltration
+
+  def _create_output_control_lighting(self):
+    file = self._files['appliances']
+    self._write_to_idf_format(file, idf_cte.OUTPUT_CONTROL)
+    self._write_to_idf_format(file, 'Comma', 'Column Separator', ';')
+
+  @staticmethod
+  def _write_to_idf_format(file, field, comment='', eol=','):
+    if comment != '':
+      comment = f'    !- {comment}'
+      field = f'    {field}{eol}'.ljust(26, ' ')
+      file.write(f'{field}{comment}\n')
+    else:
+      file.write(f'{field}{comment}')
+
+  @staticmethod
+  def _matrix_to_list(points, lower_corner):
+    lower_x = lower_corner[0]
+    lower_y = lower_corner[1]
+    lower_z = lower_corner[2]
+    points_list = []
+    for point in points:
+      point_tuple = (point[0] - lower_x, point[1] - lower_y, point[2] - lower_z)
+      points_list.append(point_tuple)
+    return points_list

hub/exports/building_energy/idf_helper/idf_construction.py

@@ -0,0 +1,56 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.city_model_structure.building_demand.layer import Layer
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfConstruction(IdfBase):
+
+  @staticmethod
+  def _add_solid_material(self, layer):
+    file = self._files['solid_materials']
+    self._write_to_idf_format(file, idf_cte.SOLID_MATERIAL)
+    self._write_to_idf_format(file, layer.material_name, 'Name')
+    self._write_to_idf_format(file, idf_cte.ROUGHNESS, 'Roughness')
+    self._write_to_idf_format(file, layer.thickness, 'Thickness')
+    self._write_to_idf_format(file, layer.conductivity, 'Conductivity')
+    self._write_to_idf_format(file, layer.density, 'Density')
+    self._write_to_idf_format(file, layer.specific_heat, 'Specific Heat')
+    self._write_to_idf_format(file, layer.thermal_absorptance, 'Thermal Absorptance')
+    self._write_to_idf_format(file, layer.solar_absorptance, 'Solar Absorptance')
+    self._write_to_idf_format(file, layer.visible_absorptance, 'Visible Absorptance', ';')
+
+  @staticmethod
+  def _add_default_material(self):
+    layer = Layer()
+    layer.material_name = 'DefaultMaterial'
+    layer.thickness = 0.1
+    layer.conductivity = 0.1
+    layer.density = 1000
+    layer.specific_heat = 1000
+    layer.thermal_absorptance = 0.9
+    layer.solar_absorptance = 0.9
+    layer.visible_absorptance = 0.7
+    IdfConstruction._add_solid_material(self, layer)
+    return layer
+
+  @staticmethod
+  def add(self, thermal_boundary):
+    if thermal_boundary.layers is None:
+      thermal_boundary.layers = [IdfConstruction._add_default_material(self)]
+    name = f'{thermal_boundary.construction_name} {thermal_boundary.parent_surface.type}'
+
+    if name not in self._constructions_added_to_idf:
+      self._constructions_added_to_idf[name] = True
+      file = self._files['constructions']
+      self._write_to_idf_format(file, idf_cte.CONSTRUCTION)
+      self._write_to_idf_format(file, name, 'Name')
+      eol = ','
+      if len(thermal_boundary.layers) == 1:
+        eol = ';'
+      self._write_to_idf_format(file, thermal_boundary.layers[0].material_name, 'Outside Layer', eol)
+      for i in range(1, len(thermal_boundary.layers) - 1):
+        comment = f'Layer {i + 1}'
+        material_name = thermal_boundary.layers[i].material_name
+        if i == len(thermal_boundary.layers) - 2:
+          eol = ';'
+        self._write_to_idf_format(file, material_name, comment, eol)

hub/exports/building_energy/idf_helper/idf_dhw.py

@@ -0,0 +1,21 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfDhw(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    peak_flow_rate = thermal_zone.domestic_hot_water.peak_flow * thermal_zone.total_floor_area
+    flow_rate_schedule = f'DHW_prof schedules {thermal_zone.usage_name}'
+    dhw_schedule = f'DHW_temp schedules {thermal_zone.usage_name}'
+    cold_temp_schedule = f'cold_temp schedules {thermal_zone.usage_name}'
+    file = self._files['dhw']
+    self._write_to_idf_format(file, idf_cte.DHW)
+    self._write_to_idf_format(file, zone_name, 'Name')
+    self._write_to_idf_format(file, zone_name, 'EndUse Subcategory')
+    self._write_to_idf_format(file, peak_flow_rate, 'Peak Flow Rate')
+    self._write_to_idf_format(file, flow_rate_schedule, 'Flow Rate Fraction Schedule Name')
+    self._write_to_idf_format(file, dhw_schedule, 'Target Temperature Schedule Name')
+    self._write_to_idf_format(file, dhw_schedule, 'Hot Water Supply Temperature Schedule Name')
+    self._write_to_idf_format(file, cold_temp_schedule, 'Cold Water Supply Temperature Schedule Name')
+    self._write_to_idf_format(file, zone_name, 'Zone Name', ';')

hub/exports/building_energy/idf_helper/idf_file_schedule.py

@@ -0,0 +1,30 @@
+from pathlib import Path
+import hub.helpers.constants as cte
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfFileSchedule(IdfBase):
+  @staticmethod
+  def add(self, usage, schedule_type, schedules):
+    schedule_name = f'{schedule_type} schedules {usage}'
+    for schedule in schedules:
+      if schedule_name not in self._schedules_added_to_idf:
+        self._schedules_added_to_idf[schedule_name] = True
+        file_name = str(
+          (Path(self._output_path) / f'{schedule_type} schedules {usage.replace("/", "_")}.csv').resolve())
+        with open(file_name, 'w', encoding='utf8') as file:
+          for value in schedule.values[0]:
+            file.write(f'{value},\n')
+        file = self._files['file_schedules']
+        self._write_to_idf_format(file, idf_cte.FILE_SCHEDULE)
+        self._write_to_idf_format(file, schedule_name, 'Name')
+        self._write_to_idf_format(file, idf_cte.idf_type_limits[schedule.data_type], 'Schedule Type Limits Name')
+        self._write_to_idf_format(file, Path(file_name).name, 'File Name')
+        self._write_to_idf_format(file, 1, 'Column Number')
+        self._write_to_idf_format(file, 0, 'Rows to Skip at Top')
+        self._write_to_idf_format(file, 8760, 'Number of Hours of Data')
+        self._write_to_idf_format(file, 'Comma', 'Column Separator')
+        self._write_to_idf_format(file, 'No', 'Interpolate to Timestep')
+        self._write_to_idf_format(file, '60', 'Minutes per Item')
+        self._write_to_idf_format(file, 'Yes', 'Adjust Schedule for Daylight Savings', ';')

hub/exports/building_energy/idf_helper/idf_heating_system.py

@@ -0,0 +1,41 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfHeatingSystem(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    availability_schedule = f'HVAC AVAIL SCHEDULES {thermal_zone.usage_name}'
+    thermostat_name = f'Thermostat {thermal_zone.usage_name}'
+    file = self._files['ideal_load_system']
+    self._write_to_idf_format(file, idf_cte.IDEAL_LOAD_SYSTEM)
+    self._write_to_idf_format(file, zone_name, 'Zone Name')
+    self._write_to_idf_format(file, thermostat_name, 'Template Thermostat Name')
+    self._write_to_idf_format(file, availability_schedule, 'System Availability Schedule Name')
+    self._write_to_idf_format(file, 50, 'Maximum Heating Supply Air Temperature')
+    self._write_to_idf_format(file, 13, 'Minimum Cooling Supply Air Temperature')
+    self._write_to_idf_format(file, 0.0156, 'Maximum Heating Supply Air Humidity Ratio')
+    self._write_to_idf_format(file, 0.0077, 'Minimum Cooling Supply Air Humidity Ratio')
+    self._write_to_idf_format(file, 'NoLimit', 'Heating Limit')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Maximum Heating Air Flow Rate')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Maximum Sensible Heating Capacity')
+    self._write_to_idf_format(file, 'NoLimit', 'Cooling Limit')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Maximum Cooling Air Flow Rate')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Maximum Total Cooling Capacity')
+    self._write_to_idf_format(file, availability_schedule, 'Heating Availability Schedule Name')
+    self._write_to_idf_format(file, availability_schedule, 'Cooling Availability Schedule Name')
+    self._write_to_idf_format(file, 'ConstantSensibleHeatRatio', 'Dehumidification Control Type')
+    self._write_to_idf_format(file, 0.7, 'Cooling Sensible Heat Ratio')
+    self._write_to_idf_format(file, 60, 'Dehumidification Setpoint')
+    self._write_to_idf_format(file, 'None', 'Humidification Control Type')
+    self._write_to_idf_format(file, 30, 'Humidification Setpoint')
+    self._write_to_idf_format(file, 'None', 'Outdoor Air Method')
+    self._write_to_idf_format(file, 0.00944, 'Outdoor Air Flow Rate per Person')
+    self._write_to_idf_format(file, 0.0, 'Outdoor Air Flow Rate per Zone Floor Area')
+    self._write_to_idf_format(file, 0, 'Outdoor Air Flow Rate per Zone')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Design Specification Outdoor Air Object Name')
+    self._write_to_idf_format(file, 'None', 'Demand Controlled Ventilation Type')
+    self._write_to_idf_format(file, 'NoEconomizer', 'Outdoor Air Economizer Type')
+    self._write_to_idf_format(file, 'None', 'Heat Recovery Type')
+    self._write_to_idf_format(file, 0.70, 'Sensible Heat Recovery Effectiveness')
+    self._write_to_idf_format(file, 0.65, 'Latent Heat Recovery Effectiveness', ';')

hub/exports/building_energy/idf_helper/idf_infiltration.py

@@ -0,0 +1,32 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+import hub.helpers.constants as cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfInfiltration(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    IdfInfiltration._add_infiltration(self, thermal_zone, zone_name, 'AirChanges/Hour', cte.HOUR_TO_SECONDS)
+
+  @staticmethod
+  def add_surface(self, thermal_zone, zone_name):
+    IdfInfiltration._add_infiltration(self, thermal_zone, zone_name, 'Flow/ExteriorWallArea', cte.INFILTRATION_75PA_TO_4PA)
+
+  @staticmethod
+  def _add_infiltration(self, thermal_zone, zone_name, calculation_method, multiplier):
+    schedule_name = f'Infiltration schedules {thermal_zone.usage_name}'
+    infiltration = thermal_zone.infiltration_rate_system_off * multiplier
+    file = self._files['infiltration']
+    self._write_to_idf_format(file, idf_cte.INFILTRATION)
+    self._write_to_idf_format(file, zone_name, 'Name')
+    self._write_to_idf_format(file, zone_name, 'Zone or ZoneList or Space or SpaceList Name')
+    self._write_to_idf_format(file, schedule_name, 'Schedule Name')
+    self._write_to_idf_format(file, calculation_method, 'Design Flow Rate Calculation Method')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Design Flow Rate')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Flow Rate per Floor Area')
+    self._write_to_idf_format(file, infiltration, 'Flow Rate per Exterior Surface Area')
+    self._write_to_idf_format(file, infiltration, 'Air Changes per Hour')
+    self._write_to_idf_format(file, 1, 'Constant Term Coefficient')
+    self._write_to_idf_format(file, 0, 'Temperature Term Coefficient')
+    self._write_to_idf_format(file, 0, 'Velocity Term Coefficient')
+    self._write_to_idf_format(file, 0, 'Velocity Squared Term Coefficient', ';')

hub/exports/building_energy/idf_helper/idf_lighting.py

@@ -0,0 +1,28 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfLighting(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    storeys_number = int(thermal_zone.total_floor_area / thermal_zone.footprint_area)
+    watts_per_zone_floor_area = thermal_zone.lighting.density * storeys_number
+    subcategory = f'ELECTRIC EQUIPMENT#{zone_name}#GeneralLights'
+    schedule_name = f'Lighting schedules {thermal_zone.usage_name}'
+    file = self._files['lighting']
+    self._write_to_idf_format(file, idf_cte.LIGHTS)
+    self._write_to_idf_format(file, f'{zone_name}_lights', 'Name')
+    self._write_to_idf_format(file, zone_name, 'Zone or ZoneList or Space or SpaceList Name')
+    self._write_to_idf_format(file, schedule_name, 'Schedule Name')
+    self._write_to_idf_format(file, 'Watts/Area', 'Design Level Calculation Method')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Lighting Level')
+    self._write_to_idf_format(file, watts_per_zone_floor_area, 'Watts per Zone Floor Area')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Watts per Person')
+    self._write_to_idf_format(file, 0, 'Return Air Fraction')
+    self._write_to_idf_format(file, thermal_zone.lighting.radiative_fraction, 'Fraction Radiant')
+    self._write_to_idf_format(file, 0, 'Fraction Visible')
+    self._write_to_idf_format(file, 1, 'Fraction Replaceable')
+    self._write_to_idf_format(file, subcategory, 'EndUse Subcategory')
+    self._write_to_idf_format(file, 'No', 'Return Air Fraction Calculated from Plenum Temperature')
+    self._write_to_idf_format(file, 0, 'Return Air Fraction Function of Plenum Temperature Coefficient 1')
+    self._write_to_idf_format(file, 0, 'Return Air Fraction Function of Plenum Temperature Coefficient 2', ';')

hub/exports/building_energy/idf_helper/idf_material.py

@@ -0,0 +1,39 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfMaterial(IdfBase):
+  @staticmethod
+  def _add_solid_material(self, layer):
+    file = self._files['solid_materials']
+    self._write_to_idf_format(file, idf_cte.SOLID_MATERIAL)
+    self._write_to_idf_format(file, layer.material_name, 'Name')
+    self._write_to_idf_format(file, idf_cte.ROUGHNESS, 'Roughness')
+    self._write_to_idf_format(file, layer.thickness, 'Thickness')
+    self._write_to_idf_format(file, layer.conductivity, 'Conductivity')
+    self._write_to_idf_format(file, layer.density, 'Density')
+    self._write_to_idf_format(file, layer.specific_heat, 'Specific Heat')
+    self._write_to_idf_format(file, layer.thermal_absorptance, 'Thermal Absorptance')
+    self._write_to_idf_format(file, layer.solar_absorptance, 'Solar Absorptance')
+    self._write_to_idf_format(file, layer.visible_absorptance, 'Visible Absorptance', ';')
+
+  @staticmethod
+  def _add_nomass_material(self, layer):
+    file = self._files['nomass_materials']
+    self._write_to_idf_format(file, idf_cte.NOMASS_MATERIAL)
+    self._write_to_idf_format(file, layer.material_name, 'Name')
+    self._write_to_idf_format(file, idf_cte.ROUGHNESS, 'Roughness')
+    self._write_to_idf_format(file, layer.thermal_resistance, 'Thermal Resistance')
+    self._write_to_idf_format(file, 0.9, 'Thermal Absorptance')
+    self._write_to_idf_format(file, 0.7, 'Solar Absorptance')
+    self._write_to_idf_format(file, 0.7, 'Visible Absorptance', ';')
+
+  @staticmethod
+  def add(self, thermal_boundary):
+    for layer in thermal_boundary.layers:
+      if layer.material_name not in self._materials_added_to_idf:
+        self._materials_added_to_idf[layer.material_name] = True
+        if layer.no_mass:
+          IdfMaterial._add_nomass_material(self, layer)
+        else:
+          IdfMaterial._add_solid_material(self, layer)

hub/exports/building_energy/idf_helper/idf_occupancy.py

@@ -0,0 +1,47 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfOccupancy(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    number_of_people = thermal_zone.occupancy.occupancy_density * thermal_zone.total_floor_area
+    fraction_radiant = 0
+    total_sensible = (
+      thermal_zone.occupancy.sensible_radiative_internal_gain + thermal_zone.occupancy.sensible_convective_internal_gain
+    )
+    if total_sensible != 0:
+      fraction_radiant = thermal_zone.occupancy.sensible_radiative_internal_gain / total_sensible
+    occupancy_schedule = f'Occupancy schedules {thermal_zone.usage_name}'
+    activity_level_schedule = f'Activity Level schedules {thermal_zone.usage_name}'
+    file = self._files['occupancy']
+    self._write_to_idf_format(file, idf_cte.PEOPLE)
+    self._write_to_idf_format(file, f'{zone_name}_occupancy', 'Name')
+    self._write_to_idf_format(file, zone_name, 'Zone or ZoneList or Space or SpaceList Name')
+    self._write_to_idf_format(file, occupancy_schedule, 'Number of People Schedule Name')
+    self._write_to_idf_format(file, 'People', 'Number of People Calculation Method')
+    self._write_to_idf_format(file, number_of_people, 'Number of People')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'People per Floor Area')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Floor Area per Person')
+    self._write_to_idf_format(file, fraction_radiant, 'Fraction Radiant')
+    self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'Sensible Heat Fraction')
+    self._write_to_idf_format(file, activity_level_schedule, 'Activity Level Schedule Name')
+    self._write_to_idf_format(file, '3.82e-08', 'Carbon Dioxide Generation Rate')
+    self._write_to_idf_format(file, 'No', 'Enable ASHRAE 55 Comfort Warnings')
+    self._write_to_idf_format(file, 'EnclosureAveraged', 'Mean Radiant Temperature Calculation Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Surface NameAngle Factor List Name')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Work Efficiency Schedule Name')
+    self._write_to_idf_format(file, 'ClothingInsulationSchedule', 'Clothing Insulation Calculation Method')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Clothing Insulation Calculation Method Schedule Name')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Clothing Insulation Schedule Name')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Air Velocity Schedule Name')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 1 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 2 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 3 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 4 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 5 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 6 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Thermal Comfort Model 7 Type')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Ankle Level Air Velocity Schedule Name')
+    self._write_to_idf_format(file, '15.56', 'Cold Stress Temperature Threshold')
+    self._write_to_idf_format(file, '30', 'Heat Stress Temperature Threshold', ';')

hub/exports/building_energy/idf_helper/idf_schedule.py

@@ -0,0 +1,30 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfSchedule(IdfBase):
+  @staticmethod
+  def add(self, usage, schedule_type, schedules):
+    if len(schedules) < 1:
+      return
+    schedule_name = f'{schedule_type} schedules {usage}'
+    if schedule_name not in self._schedules_added_to_idf:
+      self._schedules_added_to_idf[schedule_name] = True
+      file = self._files['schedules']
+      self._write_to_idf_format(file, idf_cte.COMPACT_SCHEDULE)
+      self._write_to_idf_format(file, schedule_name, 'Name')
+      self._write_to_idf_format(file, idf_cte.idf_type_limits[schedules[0].data_type], 'Schedule Type Limits Name')
+      self._write_to_idf_format(file, 'Through: 12/31', 'Field 1')
+      counter = 1
+      for j, schedule in enumerate(schedules):
+        _val = schedule.values
+        _new_field = ''
+        for day_type in schedule.day_types:
+          _new_field += f' {idf_cte.idf_day_types[day_type]}'
+        self._write_to_idf_format(file, f'For:{_new_field}', f'Field {j * 25 + 2}')
+        counter += 1
+        for i, _ in enumerate(_val):
+          self._write_to_idf_format(file, f'Until: {i + 1:02d}:00,{_val[i]}', f'Field {j * 25 + 3 + i}')
+          counter += 1
+      self._write_to_idf_format(file, 'For AllOtherDays', f'Field {counter + 1}')
+      self._write_to_idf_format(file, 'Until: 24:00,0.0', f'Field {counter + 2}', ';')

hub/exports/building_energy/idf_helper/idf_shading.py

@@ -0,0 +1,25 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfShading(IdfBase):
+  @staticmethod
+  def add(self, building):
+    name = building.name
+    file = self._files['shading']
+    for s, surface in enumerate(building.surfaces):
+
+      self._write_to_idf_format(file, idf_cte.SHADING)
+      self._write_to_idf_format(file, f'{name}_{s}', 'Name')
+      self._write_to_idf_format(file, idf_cte.EMPTY, 'Transmittance Schedule Name')
+      self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'Number of Vertices')
+      eol = ','
+      coordinates = self._matrix_to_list(surface.solid_polygon.coordinates, self._city.lower_corner)
+      coordinates_length = len(coordinates)
+      for i, coordinate in enumerate(coordinates):
+        vertex = i + 1
+        if vertex == coordinates_length:
+          eol = ';'
+        self._write_to_idf_format(file, coordinate[0], f'Vertex {vertex} Xcoordinate')
+        self._write_to_idf_format(file, coordinate[1], f'Vertex {vertex} Ycoordinate')
+        self._write_to_idf_format(file, coordinate[2], f'Vertex {vertex} Zcoordinate', eol)

hub/exports/building_energy/idf_helper/idf_surfaces.py

@@ -0,0 +1,52 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+import hub.helpers.constants as cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfSurfaces(IdfBase):
+  @staticmethod
+  def add(self, building, zone_name):
+    zone_name = f'{zone_name}'
+    file = self._files['surfaces']
+    for thermal_zone in building.thermal_zones_from_internal_zones:
+      for index, boundary in enumerate(thermal_zone.thermal_boundaries):
+        surface_type = idf_cte.idf_surfaces_dictionary[boundary.parent_surface.type]
+        outside_boundary_condition = idf_cte.OUTDOORS
+        sun_exposure = idf_cte.SUN_EXPOSED
+        wind_exposure = idf_cte.WIND_EXPOSED
+        outside_boundary_condition_object = idf_cte.EMPTY
+        name = f'Building_{building.name}_surface_{index}'
+        construction_name = f'{boundary.construction_name} {boundary.parent_surface.type}'
+        space_name = idf_cte.EMPTY
+        if boundary.parent_surface.type == cte.GROUND:
+          outside_boundary_condition = idf_cte.GROUND
+          sun_exposure = idf_cte.NON_SUN_EXPOSED
+          wind_exposure = idf_cte.NON_WIND_EXPOSED
+        if boundary.parent_surface.percentage_shared is not None and boundary.parent_surface.percentage_shared > 0.5:
+          outside_boundary_condition_object = f'Building_{building.name}_surface_{index}'
+          outside_boundary_condition = idf_cte.SURFACE
+          sun_exposure = idf_cte.NON_SUN_EXPOSED
+          wind_exposure = idf_cte.NON_WIND_EXPOSED
+        self._write_to_idf_format(file, idf_cte.BUILDING_SURFACE)
+        self._write_to_idf_format(file, name, 'Name')
+        self._write_to_idf_format(file, surface_type, 'Surface Type')
+        self._write_to_idf_format(file, construction_name, 'Construction Name')
+        self._write_to_idf_format(file, zone_name, 'Zone Name')
+        self._write_to_idf_format(file, space_name, 'Space Name')
+        self._write_to_idf_format(file, outside_boundary_condition, 'Outside Boundary Condition')
+        self._write_to_idf_format(file, outside_boundary_condition_object, 'Outside Boundary Condition Object')
+        self._write_to_idf_format(file, sun_exposure, 'Sun Exposure')
+        self._write_to_idf_format(file, wind_exposure, 'Wind Exposure')
+        self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'View Factor to Ground')
+        self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'Number of Vertices')
+        coordinates = self._matrix_to_list(boundary.parent_surface.solid_polygon.coordinates,
+                                           self._city.lower_corner)
+        eol = ','
+        coordinates_length = len(coordinates)
+        for i, coordinate in enumerate(coordinates):
+          vertex = i + 1
+          if vertex == coordinates_length:
+            eol = ';'
+          self._write_to_idf_format(file, coordinate[0], f'Vertex {vertex} Xcoordinate')
+          self._write_to_idf_format(file, coordinate[1], f'Vertex {vertex} Ycoordinate')
+          self._write_to_idf_format(file, coordinate[2], f'Vertex {vertex} Zcoordinate', eol)

hub/exports/building_energy/idf_helper/idf_thermostat.py

@@ -0,0 +1,18 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfThermostat(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone):
+    thermostat_name = f'Thermostat {thermal_zone.usage_name}'
+    heating_schedule = f'Heating thermostat schedules {thermal_zone.usage_name}'
+    cooling_schedule = f'Cooling thermostat schedules {thermal_zone.usage_name}'
+    if thermostat_name not in self._thermostat_added_to_idf:
+      self._thermostat_added_to_idf[thermostat_name] = True
+      file = self._files['thermostat']
+      self._write_to_idf_format(file, idf_cte.THERMOSTAT)
+      self._write_to_idf_format(file, thermostat_name, 'Name')
+      self._write_to_idf_format(file, heating_schedule, 'Heating Setpoint Schedule Name')
+      self._write_to_idf_format(file, idf_cte.EMPTY, 'Constant Heating Setpoint')
+      self._write_to_idf_format(file, cooling_schedule, 'Cooling Setpoint Schedule Name', ';')

hub/exports/building_energy/idf_helper/idf_ventilation.py

@@ -0,0 +1,38 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+import hub.helpers.constants as cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfVentilation(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    schedule_name = f'Ventilation schedules {thermal_zone.usage_name}'
+    air_change = thermal_zone.mechanical_air_change * cte.HOUR_TO_SECONDS
+    file = self._files['ventilation']
+    self._write_to_idf_format(file, idf_cte.VENTILATION)
+    self._write_to_idf_format(file, f'{zone_name}_ventilation', 'Name')
+    self._write_to_idf_format(file, zone_name, 'Zone or ZoneList or Space or SpaceList Name')
+    self._write_to_idf_format(file, schedule_name, 'Schedule Name')
+    self._write_to_idf_format(file, 'AirChanges/Hour', 'Design Flow Rate Calculation Method')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Design Flow Rate')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Flow Rate per Floor Area')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Flow Rate per Person')
+    self._write_to_idf_format(file, air_change, 'Air Changes per Hour')
+    self._write_to_idf_format(file, 'Natural', 'Ventilation Type')
+    self._write_to_idf_format(file, 0, 'Fan Pressure Rise')
+    self._write_to_idf_format(file, 1, 'Fan Total Efficiency')
+    self._write_to_idf_format(file, 1, 'Constant Term Coefficient')
+    self._write_to_idf_format(file, 0, 'Temperature Term Coefficient')
+    self._write_to_idf_format(file, 0, 'Velocity Term Coefficient')
+    self._write_to_idf_format(file, 0, 'Velocity Squared Term Coefficient')
+    self._write_to_idf_format(file, -100, 'Minimum Indoor Temperature')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Minimum Indoor Temperature Schedule Name')
+    self._write_to_idf_format(file, 100, 'Maximum Indoor Temperature')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Maximum Indoor Temperature Schedule Name')
+    self._write_to_idf_format(file, -100, 'Delta Temperature')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Delta Temperature Schedule Name')
+    self._write_to_idf_format(file, -100, 'Minimum Outdoor Temperature')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Minimum Outdoor Temperature Schedule Name')
+    self._write_to_idf_format(file, 100, 'Maximum Outdoor Temperature')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Maximum Outdoor Temperature Schedule Name')
+    self._write_to_idf_format(file, 40, 'Maximum Wind Speed', ';')

hub/exports/building_energy/idf_helper/idf_window.py

@@ -0,0 +1,64 @@
+import logging
+
+import hub.exports.building_energy.idf_helper as idf_cte
+import hub.helpers.constants as cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfWindow(IdfBase):
+
+  @staticmethod
+  def _to_window_surface(self, surface):
+    window_ratio = surface.associated_thermal_boundaries[0].window_ratio
+    x = 0
+    y = 1
+    z = 2
+    coordinates = self._matrix_to_list(surface.solid_polygon.coordinates, self._city.lower_corner)
+    min_z = surface.lower_corner[z]
+    max_z = surface.upper_corner[z]
+    middle = (max_z - min_z) / 2
+    distance = (max_z - min_z) * window_ratio
+    new_max_z = middle + distance / 2
+    new_min_z = middle - distance / 2
+    for index, coordinate in enumerate(coordinates):
+      if coordinate[z] == max_z:
+        coordinates[index] = (coordinate[x], coordinate[y], new_max_z)
+      elif coordinate[z] == min_z:
+        coordinates[index] = (coordinate[x], coordinate[y], new_min_z)
+      else:
+         logging.warning('Z coordinate not in top or bottom during window creation')
+    return coordinates
+
+  @staticmethod
+  def add(self, building):
+    file = self._files['fenestration']
+    for thermal_zone in building.thermal_zones_from_internal_zones:
+      for index, boundary in enumerate(thermal_zone.thermal_boundaries):
+        building_surface_name = f'Building_{building.name}_surface_{index}'
+        is_exposed = boundary.parent_surface.type == cte.WALL
+        if boundary.parent_surface.percentage_shared is not None and boundary.parent_surface.percentage_shared > 0.5 or boundary.window_ratio == 0:
+          is_exposed = False
+        if not is_exposed:
+          continue
+        name = f'Building_{building.name}_window_{index}'
+        construction_name = f'{boundary.construction_name}_window_construction'
+        self._write_to_idf_format(file, idf_cte.WINDOW_SURFACE)
+        self._write_to_idf_format(file, name, 'Name')
+        self._write_to_idf_format(file, 'Window', 'Surface Type')
+        self._write_to_idf_format(file, construction_name, 'Construction Name')
+        self._write_to_idf_format(file, building_surface_name, 'Building Surface Name')
+        self._write_to_idf_format(file, idf_cte.EMPTY, 'Outside Boundary Condition Object')
+        self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'View Factor to Ground')
+        self._write_to_idf_format(file, idf_cte.EMPTY, 'Frame and Divider Name')
+        self._write_to_idf_format(file, '1.0', 'Multiplier')
+        self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'Number of Vertices')
+        coordinates = IdfWindow._to_window_surface(self, boundary.parent_surface)
+        eol = ','
+        coordinates_length = len(coordinates)
+        for i, coordinate in enumerate(coordinates):
+          vertex = i + 1
+          if vertex == coordinates_length:
+            eol = ';'
+          self._write_to_idf_format(file, coordinate[0], f'Vertex {vertex} Xcoordinate')
+          self._write_to_idf_format(file, coordinate[1], f'Vertex {vertex} Ycoordinate')
+          self._write_to_idf_format(file, coordinate[2], f'Vertex {vertex} Zcoordinate', eol)

hub/exports/building_energy/idf_helper/idf_windows_constructions.py

@@ -0,0 +1,17 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfWindowsConstructions(IdfBase):
+  @staticmethod
+  def add(self, thermal_boundary):
+    name = f'{thermal_boundary.construction_name}_window'
+    if name not in self._windows_added_to_idf:
+      return  # Material not added or already assigned to construction
+    construction_name = f'{thermal_boundary.construction_name}_window_construction'
+    if construction_name not in self._constructions_added_to_idf:
+      self._constructions_added_to_idf[construction_name] = True
+      file = self._files['constructions']
+      self._write_to_idf_format(file, idf_cte.CONSTRUCTION)
+      self._write_to_idf_format(file, construction_name, 'Name')
+      self._write_to_idf_format(file, name, 'Outside Layer', ';')

hub/exports/building_energy/idf_helper/idf_windows_material.py

@@ -0,0 +1,15 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfWindowsMaterial(IdfBase):
+  @staticmethod
+  def add(self, thermal_boundary, thermal_opening):
+    name = f'{thermal_boundary.construction_name}_window'
+    if name not in self._windows_added_to_idf:
+      self._windows_added_to_idf[name] = True
+      file = self._files['window_materials']
+      self._write_to_idf_format(file, idf_cte.WINDOW_MATERIAL)
+      self._write_to_idf_format(file, name, 'Name')
+      self._write_to_idf_format(file, thermal_opening.overall_u_value, 'UFactor')
+      self._write_to_idf_format(file, thermal_opening.g_value, 'Solar Heat Gain Coefficient', ';')

hub/exports/building_energy/idf_helper/idf_zone.py

@@ -0,0 +1,22 @@
+import hub.exports.building_energy.idf_helper as idf_cte
+from hub.exports.building_energy.idf_helper.idf_base import IdfBase
+
+
+class IdfZone(IdfBase):
+  @staticmethod
+  def add(self, thermal_zone, zone_name):
+    file = self._files['zones']
+    self._write_to_idf_format(file, idf_cte.ZONE)
+    self._write_to_idf_format(file, zone_name, 'Name')
+    self._write_to_idf_format(file, 0, 'Direction of Relative North')
+    self._write_to_idf_format(file, 0, 'X Origin')
+    self._write_to_idf_format(file, 0, 'Y Origin')
+    self._write_to_idf_format(file, 0, 'Z Origin')
+    self._write_to_idf_format(file, 1, 'Type')
+    self._write_to_idf_format(file, 1, 'Multiplier')
+    self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'Ceiling Height')
+    self._write_to_idf_format(file, thermal_zone.volume, 'Volume')
+    self._write_to_idf_format(file, idf_cte.AUTOCALCULATE, 'Floor Area')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Zone Inside Convection Algorithm')
+    self._write_to_idf_format(file, idf_cte.EMPTY, 'Zone Outside Convection Algorithm')
+    self._write_to_idf_format(file, 'Yes', 'Part of Total Floor Area', ';')

hub/exports/energy_building_exports_factory.py

@@ -11,6 +11,7 @@ import requests
 
 from hub.exports.building_energy.energy_ade import EnergyAde
 from hub.exports.building_energy.idf import Idf
+from hub.exports.building_energy.cerc_idf import CercIdf
 from hub.exports.building_energy.insel.insel_monthly_energy_balance import InselMonthlyEnergyBalance
 from hub.helpers.utils import validate_import_export_type
 from hub.imports.weather.helpers.weather import Weather as wh
@@ -20,9 +21,11 @@ class EnergyBuildingsExportsFactory:
   """
   Energy Buildings exports factory class
   """
-  def __init__(self, handler, city, path, custom_insel_block='d18599', target_buildings=None):
+
+  def __init__(self, handler, city, path, custom_insel_block='d18599', target_buildings=None, weather_file=None):
     self._city = city
     self._export_type = '_' + handler.lower()
+    self._weather_file = weather_file
     validate_import_export_type(EnergyBuildingsExportsFactory, handler)
     if isinstance(path, str):
       path = Path(path)
@@ -51,13 +54,25 @@ class EnergyBuildingsExportsFactory:
 
     :return: None
     """
+    idf_data_path = (Path(__file__).parent / './building_energy/idf_files/').resolve()
+    url = wh().epw_file(self._city.region_code)
+    if self._weather_file is None:
+      self._weather_file = (Path(__file__).parent.parent / f'data/weather/epw/{url.rsplit("/", 1)[1]}').resolve()
+    if not self._weather_file.exists():
+      with open(self._weather_file, 'wb') as epw_file:
+        epw_file.write(requests.get(url, allow_redirects=True).content)
+    return Idf(self._city, self._path, (idf_data_path / 'Minimal.idf'), (idf_data_path / 'Energy+.idd'),
+               self._weather_file, target_buildings=self._target_buildings)
+
+  @property
+  def _cerc_idf(self):
     idf_data_path = (Path(__file__).parent / './building_energy/idf_files/').resolve()
     url = wh().epw_file(self._city.region_code)
     weather_path = (Path(__file__).parent.parent / f'data/weather/epw/{url.rsplit("/", 1)[1]}').resolve()
     if not weather_path.exists():
       with open(weather_path, 'wb') as epw_file:
         epw_file.write(requests.get(url, allow_redirects=True).content)
-    return Idf(self._city, self._path, (idf_data_path / 'Minimal.idf'), (idf_data_path / 'Energy+.idd'), weather_path,
+    return CercIdf(self._city, self._path, (idf_data_path / 'base.idf'), (idf_data_path / 'Energy+.idd'), weather_path,
                    target_buildings=self._target_buildings)
 
   @property

hub/exports/formats/cesiumjs_tileset.py

@@ -77,8 +77,8 @@ class CesiumjsTileset:
               'function': {
                 'type': 'STRING'
               },
-              'usages_percentage': {
-                'type': 'STRING'
+              'usages': {
+                'type': 'LIST'
               }
             }
           }
@@ -146,7 +146,7 @@ class CesiumjsTileset:
             'max_height': building.max_height,
             'year_of_construction': building.year_of_construction,
             'function': building.function,
-            'usages_percentage': building.usages_percentage
+            'usages': building.usages
           }
         },
         'content': {

hub/exports/formats/simplified_radiosity_algorithm.py

@@ -66,8 +66,8 @@ class SimplifiedRadiosityAlgorithm:
           else:
             i = (total_days + day - 1) * 24 + hour - 1
           representative_building = self._city.buildings[0]
-          _global = representative_building.diffuse[cte.HOUR][i] / cte.WATTS_HOUR_TO_JULES
-          _beam = representative_building.direct_normal[cte.HOUR][i] / cte.WATTS_HOUR_TO_JULES
+          _global = representative_building.diffuse[cte.HOUR][i]
+          _beam = representative_building.direct_normal[cte.HOUR][i]
           content += f'{day}  {month}  {hour}  {_global}  {_beam}\n'
     with open(file, 'w', encoding='utf-8') as file:
       file.write(content)

hub/helpers/constants.py

@@ -24,6 +24,7 @@ BTU_H_TO_WATTS = 0.29307107
 KILO_WATTS_HOUR_TO_JULES = 3600000
 WATTS_HOUR_TO_JULES = 3600
 GALLONS_TO_QUBIC_METERS = 0.0037854117954011185
+INFILTRATION_75PA_TO_4PA = (4 / 75) ** 0.65
 
 # time
 SECOND = 'second'
@@ -184,6 +185,19 @@ DAYS_A_MONTH = {JANUARY: 31,
                 NOVEMBER: 30,
                 DECEMBER: 31}
 
+HOURS_A_MONTH = {JANUARY: 744,
+                 FEBRUARY: 672,
+                 MARCH: 744,
+                 APRIL: 720,
+                 MAY: 744,
+                 JUNE: 720,
+                 JULY: 744,
+                 AUGUST: 744,
+                 SEPTEMBER: 720,
+                 OCTOBER: 744,
+                 NOVEMBER: 720,
+                 DECEMBER: 744}
+
 # data types
 ANY_NUMBER = 'any_number'
 FRACTION = 'fraction'
@@ -293,6 +307,7 @@ GAS = 'Gas'
 DIESEL = 'Diesel'
 COAL = 'Coal'
 BIOMASS = 'Biomass'
+BUTANE = 'Butane'
 AIR = 'Air'
 WATER = 'Water'
 GEOTHERMAL = 'Geothermal'
@@ -301,10 +316,14 @@ GRID = 'Grid'
 ONSITE_ELECTRICITY = 'Onsite Electricity'
 PHOTOVOLTAIC = 'Photovoltaic'
 BOILER = 'Boiler'
+FURNACE = 'Furnace'
 HEAT_PUMP = 'Heat Pump'
 BASEBOARD = 'Baseboard'
 ELECTRICITY_GENERATOR = 'Electricity generator'
 CHILLER = 'Chiller'
+SPLIT = 'Split'
+JOULE = 'Joule'
+BUTANE_HEATER = 'Butane Heater'
 SENSIBLE = 'sensible'
 LATENT = 'Latent'
 LITHIUMION = 'Lithium Ion'

hub/helpers/data/hub_function_to_palma_construction_function.py

@@ -0,0 +1,30 @@
+"""
+Dictionaries module for hub function to Palma construction function
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder Cecilia Pérez cperez@irec.cat
+"""
+
+import hub.helpers.constants as cte
+
+
+class HubFunctionToPalmaConstructionFunction:
+  """
+  Hub function to Palma construction function class
+  """
+  def __init__(self):
+    self._dictionary = {
+      cte.RESIDENTIAL: 'V',
+      cte.SINGLE_FAMILY_HOUSE: 'Single-family building',
+      cte.HIGH_RISE_APARTMENT: 'Large multifamily building',
+      cte.MID_RISE_APARTMENT: 'Medium multifamily building',
+      cte.MULTI_FAMILY_HOUSE: 'Small multifamily building'
+    }
+
+  @property
+  def dictionary(self) -> dict:
+    """
+    Get the dictionary
+    :return: {}
+    """
+    return self._dictionary

hub/helpers/data/hub_usage_to_palma_usage.py

@@ -0,0 +1,51 @@
+"""
+Dictionaries module for hub usage to Palma usage
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Cecilia Pérez cperez@irec.cat
+"""
+
+"""
+Codification of uses from cadastre:
+U: store-parking. Residential Use
+S: store-parking. Industrial Use
+V: Residential
+I: Industrial
+O: Offices
+C: Comercial
+K: Sportive center
+T: Shows
+G: Leisure and Hostelry
+Y: Health and charity
+E: Culture
+R: Religion
+M: Urbanization work, gardening and undeveloped land
+P: Singular building 
+B: Farm warehouse
+J: Farm Industry
+Z: Farm-related
+"""
+
+import hub.helpers.constants as cte
+
+class HubUsageToPalmaUsage:
+  """
+  Hub usage to Palma usage class
+  """
+
+  def __init__(self):
+    self._dictionary = {
+      cte.RESIDENTIAL: 'residential',
+      cte.SINGLE_FAMILY_HOUSE: 'residential',
+      cte.HIGH_RISE_APARTMENT: 'residential',
+      cte.MID_RISE_APARTMENT: 'residential',
+      cte.MULTI_FAMILY_HOUSE: 'residential'
+    }
+
+  @property
+  def dictionary(self) -> dict:
+    """
+    Get the dictionary
+    :return: {}
+    """
+    return self._dictionary

hub/helpers/data/montreal_custom_fuel_to_hub_fuel.py

@@ -12,11 +12,16 @@ class MontrealCustomFuelToHubFuel:
   """
   Montreal custom fuel to hub fuel class
   """
+
   def __init__(self):
     self._dictionary = {
       'gas': cte.GAS,
+      'natural gas': cte.GAS,
+      'biomass': cte.BIOMASS,
       'electricity': cte.ELECTRICITY,
-        'renewable': cte.RENEWABLE
+      'renewable': cte.RENEWABLE,
+      'butane': cte.BUTANE,
+      'diesel': cte.DIESEL
     }
 
   @property

hub/helpers/data/montreal_generation_system_to_hub_energy_generation_system.py

@@ -15,11 +15,15 @@ class MontrealGenerationSystemToHubEnergyGenerationSystem:
   def __init__(self):
     self._dictionary = {
       'boiler': cte.BOILER,
-      'furnace': cte.BASEBOARD,
+      'furnace': cte.FURNACE,
       'cooler': cte.CHILLER,
       'electricity generator': cte.ELECTRICITY_GENERATOR,
-      'PV system': cte.PHOTOVOLTAIC,
-      'heat pump': cte.HEAT_PUMP
+      'photovoltaic': cte.PHOTOVOLTAIC,
+      'heat pump': cte.HEAT_PUMP,
+      'joule': cte.JOULE,
+      'split': cte.SPLIT,
+      'butane heater': cte.BUTANE_HEATER
+
     }
 
   @property

hub/helpers/data/palma_function_to_hub_function.py

@@ -0,0 +1,31 @@
+"""
+Dictionaries module for Palma function to hub function
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder Cecilia Pérez cperez@irec.cat
+"""
+
+import hub.helpers.constants as cte
+
+
+class PalmaFunctionToHubFunction:
+  """
+  Palma function to hub function class
+  """
+
+  def __init__(self):
+    self._dictionary = {'Residential': cte.RESIDENTIAL,
+                        'Single-family building': cte.SINGLE_FAMILY_HOUSE,
+                        'Large multifamily building': cte.HIGH_RISE_APARTMENT,
+                        'Medium multifamily building': cte.MID_RISE_APARTMENT,
+                        'Small multifamily building': cte.MULTI_FAMILY_HOUSE,
+                        'V': cte.RESIDENTIAL
+                        }
+
+  @property
+  def dictionary(self) -> dict:
+    """
+    Get the dictionary
+    :return: {}
+    """
+    return self._dictionary

hub/helpers/dictionaries.py

@@ -26,6 +26,9 @@ from hub.helpers.data.north_america_demand_type_to_hub_energy_demand_type import
 from hub.helpers.data.north_america_system_to_hub_energy_generation_system import NorthAmericaSystemToHubEnergyGenerationSystem
 from hub.helpers.data.north_america_custom_fuel_to_hub_fuel import NorthAmericaCustomFuelToHubFuel
 from hub.helpers.data.north_america_storage_system_to_hub_storage import NorthAmericaStorageSystemToHubEnergyStorage
+from hub.helpers.data.palma_function_to_hub_function import PalmaFunctionToHubFunction
+from hub.helpers.data.hub_usage_to_palma_usage import HubUsageToPalmaUsage
+from hub.helpers.data.hub_function_to_palma_construction_function import HubFunctionToPalmaConstructionFunction
 
 
 class Dictionaries:
@@ -65,6 +68,14 @@ class Dictionaries:
     """
     return HubUsageToEilatUsage().dictionary
 
+  @property
+  def hub_usage_to_palma_usage(self) -> dict:
+    """
+    Hub usage to Palma usage, transformation dictionary
+    :return: dict
+    """
+    return HubUsageToPalmaUsage().dictionary
+
   @property
   def hub_function_to_nrcan_construction_function(self) -> dict:
     """
@@ -88,6 +99,13 @@ class Dictionaries:
     :return: dict
     """
     return HubFunctionToNrelConstructionFunction().dictionary
+  @property
+  def hub_function_to_palma_construction_function(self) -> dict:
+    """
+    Get hub function to Palma construction function, transformation dictionary
+    :return: dict
+    """
+    return HubFunctionToPalmaConstructionFunction().dictionary
 
   @property
   def pluto_function_to_hub_function(self) -> dict:
@@ -105,6 +123,14 @@ class Dictionaries:
     """
     return HftFunctionToHubFunction().dictionary
 
+  @property
+  def palma_function_to_hub_function(self) -> dict:
+    """
+    Get Palma function to hub function, transformation dictionary
+    :return: dict
+    """
+    return PalmaFunctionToHubFunction().dictionary
+
   @property
   def montreal_function_to_hub_function(self) -> dict:
     """

hub/helpers/parsers/list_usage_to_hub.py

@@ -0,0 +1,31 @@
+
+class ListUsageToHub:
+  """
+  Eilat function to hub function class
+  """
+
+  def __init__(self, function_dictionary=None):
+    self._function_dictionary = function_dictionary
+
+  def _apply_function_dictionary(self, usages):
+
+    function_dictionary = self._function_dictionary
+
+    if function_dictionary is not None:
+      for usage in usages:
+        if usage['usage'] in function_dictionary:
+          usage['usage'] = function_dictionary[usage['usage']]
+
+    return usages
+    
+  def parse(self, usages) -> list[dict]:
+    """
+    Get the dictionary
+    :return: {}
+    """
+
+    usages = [{"usage": str(i["usage"]), "ratio": float(i["ratio"])} for i in usages]
+
+    usages = self._apply_function_dictionary(usages)
+
+    return usages

hub/helpers/parsers/string_usage_to_hub.py

@@ -0,0 +1,19 @@
+
+class StringUsageToHub:
+  """
+  Eilat function to hub function class
+  """
+
+  def parse(self, usages) -> list[dict]:
+    """
+    Parse usage string in form residential-80_commercial-20
+    :usages: str 
+    :return: {}
+    """
+
+    parsed_usages = []
+    for usage in usages.split('_'):
+      usage_dict = {"usage": str(usage.split('-')[0]), "ratio": float(usage.split('-')[1])/100}
+      parsed_usages.append(usage_dict)
+
+    return parsed_usages

hub/helpers/usage_parsers.py

@@ -0,0 +1,31 @@
+"""
+Dictionaries module saves all transformations of functions and usages to access the catalogs
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+"""
+
+from hub.helpers.parsers.list_usage_to_hub import ListUsageToHub
+from hub.helpers.parsers.string_usage_to_hub import StringUsageToHub 
+
+class UsageParsers:
+  """
+  Dictionaries class
+  """
+
+  @staticmethod
+  def string_usage_to_hub() -> object:
+    """
+    Hub usage to HfT usage, transformation dictionary
+    :return: dict
+    """
+    return StringUsageToHub().parse
+
+  @staticmethod
+  def list_usage_to_hub(function_dictionary=None) -> object:
+    """
+    Hub usage to HfT usage, transformation dictionary
+    :return: dict
+    """
+    return ListUsageToHub(function_dictionary).parse
+

hub/imports/construction/helpers/construction_helper.py

@@ -65,6 +65,10 @@ class ConstructionHelper:
     'Eilat': 'BWh'
   }
 
+  _reference_city_to_palma_climate_zone ={
+    'Palma': 'B3'
+  }
+
   @staticmethod
   def yoc_to_nrel_standard(year_of_construction):
     """
@@ -107,3 +111,13 @@ class ConstructionHelper:
     :return: str
     """
     return ConstructionHelper._reference_city_to_israel_climate_zone[reference_city]
+
+  @staticmethod
+  def city_to_palma_climate_zone(reference_city):
+    """
+    City name to Palma climate zone
+    :param reference_city: str
+    :return: str
+    """
+    return ConstructionHelper._reference_city_to_palma_climate_zone[reference_city]
+

hub/imports/construction/nrcan_physics_parameters.py

@@ -3,6 +3,7 @@ NrcanPhysicsParameters import the construction and material information defined
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2022 Concordia CERC group
 Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Project Collaborator Saeed Ranjbar saeed.ranjbar@concordia.ca
 """
 
 import logging
@@ -67,6 +68,8 @@ class NrcanPhysicsParameters:
     thermal_archetype.indirect_heated_ratio = 0
     thermal_archetype.infiltration_rate_for_ventilation_system_on = catalog_archetype.infiltration_rate_for_ventilation_system_on
     thermal_archetype.infiltration_rate_for_ventilation_system_off = catalog_archetype.infiltration_rate_for_ventilation_system_off
+    thermal_archetype.infiltration_rate_area_for_ventilation_system_on = catalog_archetype.infiltration_rate_area_for_ventilation_system_on
+    thermal_archetype.infiltration_rate_area_for_ventilation_system_off = catalog_archetype.infiltration_rate_area_for_ventilation_system_off
     _constructions = []
     for catalog_construction in catalog_archetype.constructions:
       construction = Construction()

hub/imports/construction/palma_physics_parameters.py

@@ -0,0 +1,107 @@
+"""
+PalmaPhysicsParameters import the construction and material information defined by Palma
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Cecilia Pérez Pérez cperez@irec.cat
+"""
+import logging
+
+from hub.catalog_factories.construction_catalog_factory import ConstructionCatalogFactory
+from hub.city_model_structure.building_demand.thermal_archetype import ThermalArchetype
+from hub.city_model_structure.building_demand.construction import Construction
+from hub.city_model_structure.building_demand.layer import Layer
+from hub.helpers.dictionaries import Dictionaries
+from hub.imports.construction.helpers.construction_helper import ConstructionHelper
+
+
+class PalmaPhysicsParameters:
+  """
+  PalmaPhysicsParameters class
+  """
+
+  def __init__(self, city, divide_in_storeys=False):
+    self._city = city
+    self._divide_in_storeys = divide_in_storeys
+    self._climate_zone = ConstructionHelper.city_to_palma_climate_zone(city.climate_reference_city)
+
+  def enrich_buildings(self):
+    """
+    Returns the city with the construction parameters assigned to the buildings
+    """
+    city = self._city
+    palma_catalog = ConstructionCatalogFactory('palma').catalog
+    for building in city.buildings:
+      if building.function not in Dictionaries().hub_function_to_palma_construction_function:
+        logging.error('Building %s has an unknown building function %s', building.name, building.function)
+        continue
+      function = Dictionaries().hub_function_to_palma_construction_function[building.function]
+      try:
+        archetype = self._search_archetype(palma_catalog, function, building.year_of_construction, self._climate_zone)
+
+      except KeyError:
+        logging.error('Building %s has unknown construction archetype for building function: %s '
+                      '[%s], building year of construction: %s and climate zone %s', building.name, function,
+                      building.function, building.year_of_construction, self._climate_zone)
+        continue
+      thermal_archetype = ThermalArchetype()
+      self._assign_values(thermal_archetype, archetype)
+      for internal_zone in building.internal_zones:
+        internal_zone.thermal_archetype = thermal_archetype
+
+  @staticmethod
+  def _search_archetype(nrcan_catalog, function, year_of_construction, climate_zone):
+    nrcan_archetypes = nrcan_catalog.entries('archetypes')
+    for building_archetype in nrcan_archetypes:
+      construction_period_limits = building_archetype.construction_period.split('_')
+      if int(construction_period_limits[0]) <= int(year_of_construction) <= int(construction_period_limits[1]):
+        if str(function) == str(building_archetype.function) and climate_zone == str(building_archetype.climate_zone):
+          return building_archetype
+    raise KeyError('archetype not found')
+
+  @staticmethod
+  def _assign_values(thermal_archetype, catalog_archetype):
+    thermal_archetype.average_storey_height = catalog_archetype.average_storey_height
+    thermal_archetype.extra_loses_due_to_thermal_bridges = catalog_archetype.extra_loses_due_to_thermal_bridges
+    thermal_archetype.thermal_capacity = catalog_archetype.thermal_capacity
+    thermal_archetype.indirect_heated_ratio = 0
+    thermal_archetype.infiltration_rate_for_ventilation_system_on = catalog_archetype.infiltration_rate_for_ventilation_system_on
+    thermal_archetype.infiltration_rate_for_ventilation_system_off = catalog_archetype.infiltration_rate_for_ventilation_system_off
+    thermal_archetype.infiltration_rate_area_for_ventilation_system_on = catalog_archetype.infiltration_rate_area_for_ventilation_system_on
+    thermal_archetype.infiltration_rate_area_for_ventilation_system_off = catalog_archetype.infiltration_rate_area_for_ventilation_system_off
+    _constructions = []
+    for catalog_construction in catalog_archetype.constructions:
+      construction = Construction()
+      construction.type = catalog_construction.type
+      construction.name = catalog_construction.name
+      if catalog_construction.window_ratio is not None:
+        for _orientation in catalog_construction.window_ratio:
+          if catalog_construction.window_ratio[_orientation] is None:
+            catalog_construction.window_ratio[_orientation] = 0
+      construction.window_ratio = catalog_construction.window_ratio
+      _layers = []
+      for layer_archetype in catalog_construction.layers:
+        layer = Layer()
+        layer.thickness = layer_archetype.thickness
+        archetype_material = layer_archetype.material
+        layer.material_name = archetype_material.name
+        layer.no_mass = archetype_material.no_mass
+        if archetype_material.no_mass:
+          layer.thermal_resistance = archetype_material.thermal_resistance
+        else:
+          layer.density = archetype_material.density
+          layer.conductivity = archetype_material.conductivity
+          layer.specific_heat = archetype_material.specific_heat
+        layer.solar_absorptance = archetype_material.solar_absorptance
+        layer.thermal_absorptance = archetype_material.thermal_absorptance
+        layer.visible_absorptance = archetype_material.visible_absorptance
+        _layers.append(layer)
+      construction.layers = _layers
+
+      if catalog_construction.window is not None:
+        window_archetype = catalog_construction.window
+        construction.window_type = window_archetype.name
+        construction.window_frame_ratio = window_archetype.frame_ratio
+        construction.window_g_value = window_archetype.g_value
+        construction.window_overall_u_value = window_archetype.overall_u_value
+      _constructions.append(construction)
+    thermal_archetype.constructions = _constructions

hub/imports/construction_factory.py

@@ -10,6 +10,7 @@ from hub.helpers.utils import validate_import_export_type
 from hub.imports.construction.nrcan_physics_parameters import NrcanPhysicsParameters
 from hub.imports.construction.nrel_physics_parameters import NrelPhysicsParameters
 from hub.imports.construction.eilat_physics_parameters import EilatPhysicsParameters
+from hub.imports.construction.palma_physics_parameters import PalmaPhysicsParameters
 
 
 class ConstructionFactory:
@@ -48,6 +49,15 @@ class ConstructionFactory:
     for building in self._city.buildings:
       building.level_of_detail.construction = 2
 
+  def _palma(self):
+    """
+    Enrich the city by using Palma information
+    """
+    PalmaPhysicsParameters(self._city).enrich_buildings()
+    self._city.level_of_detail.construction = 2
+    for building in self._city.buildings:
+      building.level_of_detail.construction = 2
+
   def enrich(self):
     """
     Enrich the city given to the class using the class given handler

hub/imports/energy_systems/montreal_custom_energy_system_parameters.py

@@ -3,6 +3,7 @@ Montreal custom energy system importer
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2023 Concordia CERC group
 Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Project Contributor Saeed Ranjbar saeed.ranjbar@concordia.ca
 """
 
 import logging
@@ -83,9 +84,9 @@ class MontrealCustomEnergySystemParameters:
   def _create_generation_systems(archetype_system):
     _generation_systems = []
     for archetype_generation_system in archetype_system.generation_systems:
-      if archetype_generation_system.system_type == 'Photovoltaic':
+      if archetype_generation_system.system_type == 'photovoltaic':
         _generation_system = PvGenerationSystem()
-        _type = 'PV system'
+        _type = archetype_generation_system.system_type
         _generation_system.system_type = Dictionaries().montreal_generation_system_to_hub_energy_generation_system[
           _type]
         _fuel_type = Dictionaries().montreal_custom_fuel_to_hub_fuel[archetype_generation_system.fuel_type]
@@ -136,13 +137,13 @@ class MontrealCustomEnergySystemParameters:
       _distribution_system.distribution_consumption_variable_flow = \
         archetype_distribution_system.distribution_consumption_variable_flow
       _distribution_system.heat_losses = archetype_distribution_system.heat_losses
-      _emission_system = None
+      _generic_emission_system = None
       if archetype_distribution_system.emission_systems is not None:
         _emission_systems = []
         for emission_system in archetype_distribution_system.emission_systems:
-          _emission_system = EmissionSystem()
-          _emission_system.parasitic_energy_consumption = emission_system.parasitic_energy_consumption
-          _emission_systems.append(_emission_system)
+          _generic_emission_system = EmissionSystem()
+          _generic_emission_system.parasitic_energy_consumption = emission_system.parasitic_energy_consumption
+          _emission_systems.append(_generic_emission_system)
         _distribution_system.emission_systems = _emission_systems
       _distribution_systems.append(_distribution_system)
     return _distribution_systems

hub/imports/energy_systems/montreal_future_energy_systems_parameters.py

@@ -43,6 +43,7 @@ class MontrealFutureEnergySystemParameters:
       archetype_name = building.energy_systems_archetype_name
       try:
         archetype = self._search_archetypes(montreal_custom_catalog, archetype_name)
+        building.energy_systems_archetype_cluster_id = archetype.cluster_id
       except KeyError:
         logging.error('Building %s has unknown energy system archetype for system name %s', building.name,
                       archetype_name)
@@ -87,12 +88,12 @@ class MontrealFutureEnergySystemParameters:
     archetype_generation_systems = archetype_system.generation_systems
     if archetype_generation_systems is not None:
       for archetype_generation_system in archetype_system.generation_systems:
-        if archetype_generation_system.system_type == 'Photovoltaic':
+        if archetype_generation_system.system_type == 'photovoltaic':
           _generation_system = PvGenerationSystem()
           _generation_system.name = archetype_generation_system.name
           _generation_system.model_name = archetype_generation_system.model_name
           _generation_system.manufacturer = archetype_generation_system.manufacturer
-          _type = 'PV system'
+          _type = archetype_generation_system.system_type
           _generation_system.system_type = Dictionaries().montreal_generation_system_to_hub_energy_generation_system[_type]
           _fuel_type = Dictionaries().montreal_custom_fuel_to_hub_fuel[archetype_generation_system.fuel_type]
           _generation_system.fuel_type = _fuel_type
@@ -103,15 +104,21 @@ class MontrealFutureEnergySystemParameters:
           _generation_system.nominal_radiation = archetype_generation_system.nominal_radiation
           _generation_system.standard_test_condition_cell_temperature = archetype_generation_system.standard_test_condition_cell_temperature
           _generation_system.standard_test_condition_maximum_power = archetype_generation_system.standard_test_condition_maximum_power
+          _generation_system.standard_test_condition_radiation = archetype_generation_system.standard_test_condition_radiation
           _generation_system.cell_temperature_coefficient = archetype_generation_system.cell_temperature_coefficient
           _generation_system.width = archetype_generation_system.width
           _generation_system.height = archetype_generation_system.height
           _generation_system.tilt_angle = self._city.latitude
           _generic_storage_system = None
           if archetype_generation_system.energy_storage_systems is not None:
+            _storage_systems = []
+            for storage_system in archetype_generation_system.energy_storage_systems:
+              if storage_system.type_energy_stored == 'electrical':
                 _generic_storage_system = ElectricalStorageSystem()
                 _generic_storage_system.type_energy_stored = 'electrical'
-          _generation_system.energy_storage_systems = [_generic_storage_system]
+              _storage_systems.append(_generic_storage_system)
+            _generation_system.energy_storage_systems = _storage_systems
+
         else:
           _generation_system = NonPvGenerationSystem()
           _generation_system.name = archetype_generation_system.name
@@ -119,7 +126,7 @@ class MontrealFutureEnergySystemParameters:
           _generation_system.manufacturer = archetype_generation_system.manufacturer
           _type = archetype_generation_system.system_type
           _generation_system.system_type = Dictionaries().montreal_generation_system_to_hub_energy_generation_system[_type]
-          _fuel_type = Dictionaries().north_america_custom_fuel_to_hub_fuel[archetype_generation_system.fuel_type]
+          _fuel_type = Dictionaries().montreal_custom_fuel_to_hub_fuel[archetype_generation_system.fuel_type]
           _generation_system.fuel_type = _fuel_type
           _generation_system.nominal_heat_output = archetype_generation_system.nominal_heat_output
           _generation_system.nominal_cooling_output = archetype_generation_system.nominal_cooling_output
@@ -185,13 +192,13 @@ class MontrealFutureEnergySystemParameters:
         _distribution_system.distribution_consumption_variable_flow = \
           archetype_distribution_system.distribution_consumption_variable_flow
         _distribution_system.heat_losses = archetype_distribution_system.heat_losses
-        _emission_system = None
+        _generic_emission_system = None
         if archetype_distribution_system.emission_systems is not None:
           _emission_systems = []
           for emission_system in archetype_distribution_system.emission_systems:
-            _emission_system = EmissionSystem()
-            _emission_system.parasitic_energy_consumption = emission_system.parasitic_energy_consumption
-            _emission_systems.append(_emission_system)
+            _generic_emission_system = EmissionSystem()
+            _generic_emission_system.parasitic_energy_consumption = emission_system.parasitic_energy_consumption
+            _emission_systems.append(_generic_emission_system)
           _distribution_system.emission_systems = _emission_systems
         _distribution_systems.append(_distribution_system)
       return _distribution_systems

hub/imports/energy_systems/palma_energy_systems_parameters.py

@@ -0,0 +1,216 @@
+"""
+Montreal future system importer
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder Saeed Ranjbar saeed.ranjbar@concordia.ca
+
+"""
+
+import logging
+import copy
+
+from hub.catalog_factories.energy_systems_catalog_factory import EnergySystemsCatalogFactory
+from hub.city_model_structure.energy_systems.energy_system import EnergySystem
+from hub.city_model_structure.energy_systems.distribution_system import DistributionSystem
+from hub.city_model_structure.energy_systems.non_pv_generation_system import NonPvGenerationSystem
+from hub.city_model_structure.energy_systems.pv_generation_system import PvGenerationSystem
+from hub.city_model_structure.energy_systems.electrical_storage_system import ElectricalStorageSystem
+from hub.city_model_structure.energy_systems.thermal_storage_system import ThermalStorageSystem
+from hub.city_model_structure.energy_systems.emission_system import EmissionSystem
+from hub.helpers.dictionaries import Dictionaries
+
+
+class PalmaEnergySystemParameters:
+  """
+  MontrealCustomEnergySystemParameters class
+  """
+
+  def __init__(self, city):
+    self._city = city
+
+  def enrich_buildings(self):
+    """
+    Returns the city with the system parameters assigned to the buildings
+    :return:
+    """
+    city = self._city
+    montreal_custom_catalog = EnergySystemsCatalogFactory('palma').catalog
+    if city.generic_energy_systems is None:
+      _generic_energy_systems = {}
+    else:
+      _generic_energy_systems = city.generic_energy_systems
+    for building in city.buildings:
+      archetype_name = building.energy_systems_archetype_name
+      try:
+        archetype = self._search_archetypes(montreal_custom_catalog, archetype_name)
+      except KeyError:
+        logging.error('Building %s has unknown energy system archetype for system name %s', building.name,
+                      archetype_name)
+        continue
+
+      if archetype.name not in _generic_energy_systems:
+        _generic_energy_systems = self._create_generic_systems_list(archetype, _generic_energy_systems)
+
+    city.generic_energy_systems = _generic_energy_systems
+
+    self._assign_energy_systems_to_buildings(city)
+
+  @staticmethod
+  def _search_archetypes(catalog, name):
+    archetypes = catalog.entries('archetypes')
+    for building_archetype in archetypes:
+      if str(name) == str(building_archetype.name):
+        return building_archetype
+    raise KeyError('archetype not found')
+
+  def _create_generic_systems_list(self, archetype, _generic_energy_systems):
+    building_systems = []
+    for archetype_system in archetype.systems:
+      energy_system = EnergySystem()
+      _hub_demand_types = []
+      for demand_type in archetype_system.demand_types:
+        _hub_demand_types.append(Dictionaries().montreal_demand_type_to_hub_energy_demand_type[demand_type])
+      energy_system.name = archetype_system.name
+      energy_system.demand_types = _hub_demand_types
+      energy_system.configuration_schema = archetype_system.configuration_schema
+      energy_system.generation_systems = self._create_generation_systems(archetype_system)
+      if energy_system.distribution_systems is not None:
+        energy_system.distribution_systems = self._create_distribution_systems(archetype_system)
+      building_systems.append(energy_system)
+
+    _generic_energy_systems[archetype.name] = building_systems
+
+    return _generic_energy_systems
+
+  def _create_generation_systems(self, archetype_system):
+    _generation_systems = []
+    archetype_generation_systems = archetype_system.generation_systems
+    if archetype_generation_systems is not None:
+      for archetype_generation_system in archetype_system.generation_systems:
+        if archetype_generation_system.system_type == 'photovoltaic':
+          _generation_system = PvGenerationSystem()
+          _generation_system.name = archetype_generation_system.name
+          _generation_system.model_name = archetype_generation_system.model_name
+          _generation_system.manufacturer = archetype_generation_system.manufacturer
+          _type = archetype_generation_system.system_type
+          _generation_system.system_type = Dictionaries().montreal_generation_system_to_hub_energy_generation_system[_type]
+          _fuel_type = Dictionaries().montreal_custom_fuel_to_hub_fuel[archetype_generation_system.fuel_type]
+          _generation_system.fuel_type = _fuel_type
+          _generation_system.electricity_efficiency = archetype_generation_system.electricity_efficiency
+          _generation_system.nominal_electricity_output = archetype_generation_system.nominal_electricity_output
+          _generation_system.nominal_ambient_temperature = archetype_generation_system.nominal_ambient_temperature
+          _generation_system.nominal_cell_temperature = archetype_generation_system.nominal_cell_temperature
+          _generation_system.nominal_radiation = archetype_generation_system.nominal_radiation
+          _generation_system.standard_test_condition_cell_temperature = archetype_generation_system.standard_test_condition_cell_temperature
+          _generation_system.standard_test_condition_maximum_power = archetype_generation_system.standard_test_condition_maximum_power
+          _generation_system.standard_test_condition_radiation = archetype_generation_system.standard_test_condition_radiation
+          _generation_system.cell_temperature_coefficient = archetype_generation_system.cell_temperature_coefficient
+          _generation_system.width = archetype_generation_system.width
+          _generation_system.height = archetype_generation_system.height
+          _generation_system.tilt_angle = self._city.latitude
+          _generic_storage_system = None
+          if archetype_generation_system.energy_storage_systems is not None:
+            _storage_systems = []
+            for storage_system in archetype_generation_system.energy_storage_systems:
+              if storage_system.type_energy_stored == 'electrical':
+                _generic_storage_system = ElectricalStorageSystem()
+                _generic_storage_system.type_energy_stored = 'electrical'
+              _storage_systems.append(_generic_storage_system)
+            _generation_system.energy_storage_systems = _storage_systems
+
+        else:
+          _generation_system = NonPvGenerationSystem()
+          _generation_system.name = archetype_generation_system.name
+          _generation_system.model_name = archetype_generation_system.model_name
+          _generation_system.manufacturer = archetype_generation_system.manufacturer
+          _type = archetype_generation_system.system_type
+          _generation_system.system_type = Dictionaries().montreal_generation_system_to_hub_energy_generation_system[_type]
+          _fuel_type = Dictionaries().montreal_custom_fuel_to_hub_fuel[archetype_generation_system.fuel_type]
+          _generation_system.fuel_type = _fuel_type
+          _generation_system.nominal_heat_output = archetype_generation_system.nominal_heat_output
+          _generation_system.nominal_cooling_output = archetype_generation_system.nominal_cooling_output
+          _generation_system.maximum_heat_output = archetype_generation_system.maximum_heat_output
+          _generation_system.minimum_heat_output = archetype_generation_system.minimum_heat_output
+          _generation_system.maximum_cooling_output = archetype_generation_system.maximum_cooling_output
+          _generation_system.minimum_cooling_output = archetype_generation_system.minimum_cooling_output
+          _generation_system.source_temperature = archetype_generation_system.source_temperature
+          _generation_system.source_mass_flow = archetype_generation_system.source_mass_flow
+          _generation_system.supply_medium = archetype_generation_system.supply_medium
+          _generation_system.maximum_heat_supply_temperature = archetype_generation_system.maximum_heat_supply_temperature
+          _generation_system.maximum_cooling_supply_temperature = archetype_generation_system.maximum_cooling_supply_temperature
+          _generation_system.minimum_heat_supply_temperature = archetype_generation_system.minimum_heat_supply_temperature
+          _generation_system.minimum_cooling_supply_temperature = archetype_generation_system.minimum_cooling_supply_temperature
+          _generation_system.heat_output_curve = archetype_generation_system.heat_output_curve
+          _generation_system.heat_fuel_consumption_curve = archetype_generation_system.heat_fuel_consumption_curve
+          _generation_system.heat_efficiency_curve = archetype_generation_system.heat_efficiency_curve
+          _generation_system.cooling_output_curve = archetype_generation_system.cooling_output_curve
+          _generation_system.cooling_fuel_consumption_curve = archetype_generation_system.cooling_fuel_consumption_curve
+          _generation_system.cooling_efficiency_curve = archetype_generation_system.cooling_efficiency_curve
+          _generation_system.domestic_hot_water = archetype_generation_system.domestic_hot_water
+          _generation_system.nominal_electricity_output = archetype_generation_system.nominal_electricity_output
+          _generation_system.source_medium = archetype_generation_system.source_medium
+          _generation_system.heat_efficiency = archetype_generation_system.heat_efficiency
+          _generation_system.cooling_efficiency = archetype_generation_system.cooling_efficiency
+          _generation_system.electricity_efficiency = archetype_generation_system.electricity_efficiency
+          _generation_system.reversibility = archetype_generation_system.reversibility
+          _generic_storage_system = None
+          if archetype_generation_system.energy_storage_systems is not None:
+            _storage_systems = []
+            for storage_system in archetype_generation_system.energy_storage_systems:
+              if storage_system.type_energy_stored == 'electrical':
+                _generic_storage_system = ElectricalStorageSystem()
+                _generic_storage_system.type_energy_stored = 'electrical'
+              else:
+                _generic_storage_system = ThermalStorageSystem()
+                _generic_storage_system.type_energy_stored = storage_system.type_energy_stored
+                _generic_storage_system.height = storage_system.height
+                _generic_storage_system.layers = storage_system.layers
+                _generic_storage_system.storage_medium = storage_system.storage_medium
+                _generic_storage_system.heating_coil_capacity = storage_system.heating_coil_capacity
+              _storage_systems.append(_generic_storage_system)
+            _generation_system.energy_storage_systems = _storage_systems
+          if archetype_generation_system.domestic_hot_water:
+            _generation_system.domestic_hot_water = True
+          if archetype_generation_system.reversibility:
+            _generation_system.reversibility = True
+          if archetype_generation_system.simultaneous_heat_cold:
+            _generation_system.simultaneous_heat_cold = True
+        _generation_systems.append(_generation_system)
+    return _generation_systems
+
+  @staticmethod
+  def _create_distribution_systems(archetype_system):
+    _distribution_systems = []
+    archetype_distribution_systems = archetype_system.distribution_systems
+    if archetype_distribution_systems is not None:
+      for archetype_distribution_system in archetype_system.distribution_systems:
+        _distribution_system = DistributionSystem()
+        _distribution_system.type = archetype_distribution_system.type
+        _distribution_system.distribution_consumption_fix_flow = \
+          archetype_distribution_system.distribution_consumption_fix_flow
+        _distribution_system.distribution_consumption_variable_flow = \
+          archetype_distribution_system.distribution_consumption_variable_flow
+        _distribution_system.heat_losses = archetype_distribution_system.heat_losses
+        _generic_emission_system = None
+        if archetype_distribution_system.emission_systems is not None:
+          _emission_systems = []
+          for emission_system in archetype_distribution_system.emission_systems:
+            _generic_emission_system = EmissionSystem()
+            _generic_emission_system.parasitic_energy_consumption = emission_system.parasitic_energy_consumption
+            _emission_systems.append(_generic_emission_system)
+          _distribution_system.emission_systems = _emission_systems
+        _distribution_systems.append(_distribution_system)
+      return _distribution_systems
+
+  @staticmethod
+  def _assign_energy_systems_to_buildings(city):
+    for building in city.buildings:
+      _building_energy_systems = []
+      energy_systems_cluster_name = building.energy_systems_archetype_name
+      if str(energy_systems_cluster_name) == 'nan':
+        break
+      _generic_building_energy_systems = city.generic_energy_systems[energy_systems_cluster_name]
+      for _generic_building_energy_system in _generic_building_energy_systems:
+        _building_energy_systems.append(copy.deepcopy(_generic_building_energy_system))
+
+      building.energy_systems = _building_energy_systems

hub/imports/energy_systems_factory.py

@@ -11,6 +11,7 @@ from hub.helpers.utils import validate_import_export_type
 from hub.imports.energy_systems.montreal_custom_energy_system_parameters import MontrealCustomEnergySystemParameters
 from hub.imports.energy_systems.north_america_custom_energy_system_parameters import NorthAmericaCustomEnergySystemParameters
 from hub.imports.energy_systems.montreal_future_energy_systems_parameters import MontrealFutureEnergySystemParameters
+from hub.imports.energy_systems.palma_energy_systems_parameters import PalmaEnergySystemParameters
 
 class EnergySystemsFactory:
   """
@@ -52,6 +53,15 @@ class EnergySystemsFactory:
     for building in self._city.buildings:
       building.level_of_detail.energy_systems = 2
 
+  def _palma(self):
+    """
+    Enrich the city by using north america custom energy systems catalog information
+    """
+    PalmaEnergySystemParameters(self._city).enrich_buildings()
+    self._city.level_of_detail.energy_systems = 2
+    for building in self._city.buildings:
+      building.level_of_detail.energy_systems = 2
+
   def enrich(self):
     """
     Enrich the city given to the class using the class given handler

hub/imports/geometry/geojson.py

@@ -35,6 +35,8 @@ class Geojson:
                year_of_construction_field=None,
                function_field=None,
                function_to_hub=None,
+               usages_field=None,
+               usages_to_hub=None,
                hub_crs=None
                ):
     self._hub_crs = hub_crs
@@ -52,6 +54,8 @@ class Geojson:
     self._year_of_construction_field = year_of_construction_field
     self._function_field = function_field
     self._function_to_hub = function_to_hub
+    self._usages_field = usages_field
+    self._usages_to_hub = usages_to_hub
     with open(path, 'r', encoding='utf8') as json_file:
       self._geojson = json.loads(json_file.read())
 
@@ -117,24 +121,36 @@ class Geojson:
       lod = 0
       for feature in self._geojson['features']:
         extrusion_height = 0
+
         if self._extrusion_height_field is not None:
           extrusion_height = float(feature['properties'][self._extrusion_height_field])
           lod = 1
           self._max_z = max(self._max_z, extrusion_height)
         year_of_construction = None
+
         if self._year_of_construction_field is not None:
           year_of_construction = int(feature['properties'][self._year_of_construction_field])
+
         function = None
         if self._function_field is not None:
           function = str(feature['properties'][self._function_field])
           if self._function_to_hub is not None:
-            # use the transformation dictionary to retrieve the proper function
             if function in self._function_to_hub:
               function = self._function_to_hub[function]
+
+        usages = None
+        if self._usages_field is not None:
+          if self._usages_field in feature['properties']:
+            usages = feature['properties'][self._usages_field]
+            if self._usages_to_hub is not None:
+              usages = self._usages_to_hub(usages)
+
         geometry = feature['geometry']
         building_aliases = []
         if 'id' in feature:
           building_name = feature['id']
+        elif 'id' in feature['properties']:
+          building_name = feature['properties']['id']
         else:
           building_name = uuid.uuid4()
         if self._aliases_field is not None:
@@ -147,6 +163,7 @@ class Geojson:
                                                building_name,
                                                building_aliases,
                                                function,
+                                               usages,
                                                year_of_construction,
                                                extrusion_height))
 
@@ -155,6 +172,7 @@ class Geojson:
                                                      building_name,
                                                      building_aliases,
                                                      function,
+                                                     usages,
                                                      year_of_construction,
                                                      extrusion_height))
         else:
@@ -180,7 +198,7 @@ class Geojson:
       transformed_coordinates = f'{transformed_coordinates} {transformed[self._X]} {transformed[self._Y]} 0.0'
     return transformed_coordinates.lstrip(' ')
 
-  def _parse_polygon(self, coordinates, building_name, building_aliases, function, year_of_construction, extrusion_height):
+  def _parse_polygon(self, coordinates, building_name, building_aliases, function, usages, year_of_construction, extrusion_height):
     surfaces = []
     for polygon_coordinates in coordinates:
       points = igh.points_from_string(
@@ -213,7 +231,7 @@ class Geojson:
         polygon = Polygon(coordinates)
         polygon.area = igh.ground_area(coordinates)
         surfaces[-1] = Surface(polygon, polygon)
-    building = Building(f'{building_name}', surfaces, year_of_construction, function)
+    building = Building(f'{building_name}', surfaces, year_of_construction, function, usages=usages)
     for alias in building_aliases:
       building.add_alias(alias)
     if extrusion_height == 0:
@@ -248,13 +266,13 @@ class Geojson:
         polygon = Polygon(wall_coordinates)
         wall = Surface(polygon, polygon)
         surfaces.append(wall)
-      building = Building(f'{building_name}', surfaces, year_of_construction, function)
+      building = Building(f'{building_name}', surfaces, year_of_construction, function, usages=usages)
       for alias in building_aliases:
         building.add_alias(alias)
       building.volume = volume
       return building
 
-  def _parse_multi_polygon(self, polygons_coordinates, building_name, building_aliases, function, year_of_construction, extrusion_height):
+  def _parse_multi_polygon(self, polygons_coordinates, building_name, building_aliases, function, usages, year_of_construction, extrusion_height):
     surfaces = []
     for coordinates in polygons_coordinates:
       for polygon_coordinates in coordinates:
@@ -287,7 +305,7 @@ class Geojson:
           polygon = Polygon(coordinates)
           polygon.area = igh.ground_area(coordinates)
           surfaces[-1] = Surface(polygon, polygon)
-    building = Building(f'{building_name}', surfaces, year_of_construction, function)
+    building = Building(f'{building_name}', surfaces, year_of_construction, function, usages=usages)
     for alias in building_aliases:
       building.add_alias(alias)
     if extrusion_height == 0:
@@ -322,7 +340,7 @@ class Geojson:
         polygon = Polygon(wall_coordinates)
         wall = Surface(polygon, polygon)
         surfaces.append(wall)
-      building = Building(f'{building_name}', surfaces, year_of_construction, function)
+      building = Building(f'{building_name}', surfaces, year_of_construction, function, usages=usages)
       for alias in building_aliases:
         building.add_alias(alias)
       building.volume = volume

hub/imports/geometry_factory.py

@@ -23,6 +23,8 @@ class GeometryFactory:
                year_of_construction_field=None,
                function_field=None,
                function_to_hub=None,
+               usages_field=None,
+               usages_to_hub=None,
                hub_crs=None):
     self._file_type = '_' + file_type.lower()
     validate_import_export_type(GeometryFactory, file_type)
@@ -32,6 +34,8 @@ class GeometryFactory:
     self._year_of_construction_field = year_of_construction_field
     self._function_field = function_field
     self._function_to_hub = function_to_hub
+    self._usages_field = usages_field
+    self._usages_to_hub = usages_to_hub
     self._hub_crs = hub_crs
 
   @property
@@ -66,6 +70,8 @@ class GeometryFactory:
                    self._year_of_construction_field,
                    self._function_field,
                    self._function_to_hub,
+                   self._usages_field,
+                   self._usages_to_hub,
                    self._hub_crs).city
 
   @property

hub/imports/results/energy_plus.py

@@ -1,14 +1,12 @@
 """
-Insel monthly energy balance
+Cerc Idf result import
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2022 Concordia CERC group
-Project Coder Saeed Ranjbar saeed.ranjbar@concordia.ca
-Project collaborator Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Project Coder Guille Guillermo.GutierrezMorote@concordia.ca
+Code contributors: Saeed Ranjbar saeed.ranjbar@concordia.ca
 """
-from pathlib import Path
 import csv
 
-from hub.helpers.monthly_values import MonthlyValues
 import hub.helpers.constants as cte
 
 
@@ -16,62 +14,33 @@ class EnergyPlus:
   """
   Energy plus class
   """
-  def __init__(self, city, base_path):
+
+  def _extract_fields_from_headers(self, headers):
+    for header in headers:
+      header_parts = header.split(':')
+      building_name = header_parts[0]
+      variable = ':'.join(header_parts[1:]).strip()  # concat the rest and ensure that : it's reintroduced just in case
+      if variable == '':
+        continue
+      if building_name not in self._summary_variables:
+        self._building_energy_demands[variable] = []  # initialize the list of variables
+      else:
+        self._building_energy_demands[header] = []
+
+  def __init__(self, city, file_path):
     self._city = city
-    self._base_path = base_path
+    self._building_energy_demands = {}
+    self._lines = []
+    self._summary_variables = ['DistrictCooling:Facility [J](Hourly)',
+                               'InteriorEquipment:Electricity [J](Hourly)',
+                               'InteriorLights:Electricity [J](Hourly) ']
 
-  @staticmethod
-  def _building_energy_demands(energy_plus_output_file_path):
-    with open(Path(energy_plus_output_file_path).resolve(), 'r', encoding='utf8') as csv_file:
+    with open(file_path, 'r', encoding='utf8') as csv_file:
       csv_output = csv.reader(csv_file)
-      headers = next(csv_output)
-      building_energy_demands = {
-                                  'Heating (J)': [],
-                                  'Cooling (J)': [],
-                                  'DHW (J)': [],
-                                  'Appliances (J)': [],
-                                  'Lighting (J)': []
-                                }
-      heating_column_index = []
-      cooling_column_index = []
-      dhw_column_index = []
-      appliance_column_index = []
-      lighting_column_index = []
-      for index, header in enumerate(headers):
-        if "Total Heating" in header:
-          heating_column_index.append(index)
-        elif "Total Cooling" in header:
-          cooling_column_index.append(index)
-        elif "DHW" in header:
-          dhw_column_index.append(index)
-        elif "InteriorEquipment" in header:
-          appliance_column_index.append(index)
-        elif "InteriorLights" in header:
-          lighting_column_index.append(index)
-
+      self._headers = next(csv_output)
+      self._extract_fields_from_headers(self._headers)
       for line in csv_output:
-        total_heating_demand = 0
-        total_cooling_demand = 0
-        total_dhw_demand = 0
-        total_appliance_demand = 0
-        total_lighting_demand = 0
-        for heating_index in heating_column_index:
-          total_heating_demand += float(line[heating_index])
-        building_energy_demands['Heating (J)'].append(total_heating_demand)
-        for cooling_index in cooling_column_index:
-          total_cooling_demand += float(line[cooling_index])
-        building_energy_demands['Cooling (J)'].append(total_cooling_demand)
-        for dhw_index in dhw_column_index:
-          total_dhw_demand += float(line[dhw_index]) * 3600
-        building_energy_demands['DHW (J)'].append(total_dhw_demand)
-        for appliance_index in appliance_column_index:
-          total_appliance_demand += float(line[appliance_index])
-        building_energy_demands['Appliances (J)'].append(total_appliance_demand)
-        for lighting_index in lighting_column_index:
-          total_lighting_demand += float(line[lighting_index])
-        building_energy_demands['Lighting (J)'].append(total_lighting_demand)
-
-    return building_energy_demands
+        self._lines.append(line)
 
   def enrich(self):
     """
@@ -79,27 +48,58 @@ class EnergyPlus:
     :return: None
     """
     for building in self._city.buildings:
-      file_name = f'{building.name}_out.csv'
-      energy_plus_output_file_path = Path(self._base_path / file_name).resolve()
-      if energy_plus_output_file_path.is_file():
-        building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
-        building.heating_demand[cte.HOUR] = building_energy_demands['Heating (J)']
-        building.cooling_demand[cte.HOUR] = building_energy_demands['Cooling (J)']
-        building.domestic_hot_water_heat_demand[cte.HOUR] = building_energy_demands['DHW (J)']
-        building.appliances_electrical_demand[cte.HOUR] = building_energy_demands['Appliances (J)']
-        building.lighting_electrical_demand[cte.HOUR] = building_energy_demands['Lighting (J)']
-        # todo: @Saeed, this a list of ONE value with the total energy of the year, exactly the same as cte.YEAR.
-        #  You have to use the method to add hourly values from helpers/monthly_values
-        building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
-        building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
-        building.domestic_hot_water_heat_demand[cte.MONTH] = (
-          MonthlyValues.get_total_month(building.domestic_hot_water_heat_demand[cte.HOUR]))
-        building.appliances_electrical_demand[cte.MONTH] = (
-          MonthlyValues.get_total_month(building.appliances_electrical_demand[cte.HOUR]))
-        building.lighting_electrical_demand[cte.MONTH] = (
-          MonthlyValues.get_total_month(building.lighting_electrical_demand[cte.HOUR]))
-        building.heating_demand[cte.YEAR] = [sum(building.heating_demand[cte.MONTH])]
-        building.cooling_demand[cte.YEAR] = [sum(building.cooling_demand[cte.MONTH])]
-        building.domestic_hot_water_heat_demand[cte.YEAR] = [sum(building.domestic_hot_water_heat_demand[cte.MONTH])]
-        building.appliances_electrical_demand[cte.YEAR] = [sum(building.appliances_electrical_demand[cte.MONTH])]
-        building.lighting_electrical_demand[cte.YEAR] = [sum(building.lighting_electrical_demand[cte.MONTH])]
+      _energy_demands = {}
+      for header in self._building_energy_demands:
+        print(header)
+        if header == 'Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)':
+          field_name = f'{building.name} IDEAL LOADS AIR SYSTEM:{header}'
+        elif header == 'Zone Ideal Loads Supply Air Total Cooling Energy [J](Hourly)':
+          field_name = f'{building.name} IDEAL LOADS AIR SYSTEM:{header}'
+        else:
+          field_name = f'{building.name}:{header}'
+        position = -1
+        if field_name in self._headers:
+          position = self._headers.index(field_name)
+        if position == -1:
+          continue
+        for line in self._lines:
+          if header not in _energy_demands.keys():
+            _energy_demands[header] = []
+          _energy_demands[header].append(line[position])
+      # print(building_energy_demands['Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)'])
+      EnergyPlus._set_building_demands(building, _energy_demands)
+
+  @staticmethod
+  def _set_building_demands(building, energy_demands):
+    print(energy_demands.keys())
+    heating = [float(x) for x in energy_demands['Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)']]
+    cooling = [float(x) for x in energy_demands['Zone Ideal Loads Supply Air Total Cooling Energy [J](Hourly)']]
+    dhw = [float(x) * cte.WATTS_HOUR_TO_JULES for x in energy_demands['Water Use Equipment Heating Rate [W](Hourly)']]
+    appliances = [float(x) * cte.WATTS_HOUR_TO_JULES for x in energy_demands['Other Equipment Electricity Rate [W](Hourly)']]
+    lighting = [float(x) * cte.WATTS_HOUR_TO_JULES for x in energy_demands['Zone Lights Electricity Rate [W](Hourly)']]
+    building.heating_demand[cte.HOUR] = heating
+    building.cooling_demand[cte.HOUR] = cooling
+    building.domestic_hot_water_heat_demand[cte.HOUR] = dhw
+    building.appliances_electrical_demand[cte.HOUR] = appliances
+    building.lighting_electrical_demand[cte.HOUR] = lighting
+    building.heating_demand[cte.MONTH] = []
+    building.cooling_demand[cte.MONTH] = []
+    building.domestic_hot_water_heat_demand[cte.MONTH] = []
+    building.appliances_electrical_demand[cte.MONTH] = []
+    building.lighting_electrical_demand[cte.MONTH] = []
+
+    start = 0
+
+    for hours in cte.HOURS_A_MONTH.values():
+      end = hours + start
+      building.heating_demand[cte.MONTH].append(sum(building.heating_demand[cte.HOUR][start: end]))
+      building.cooling_demand[cte.MONTH].append(sum(building.cooling_demand[cte.HOUR][start: end]))
+      building.domestic_hot_water_heat_demand[cte.MONTH].append(sum(dhw[start: end]))
+      building.appliances_electrical_demand[cte.MONTH].append(sum(appliances[start: end]))
+      building.lighting_electrical_demand[cte.MONTH].append(sum(lighting[start: end]))
+      start = end
+    building.heating_demand[cte.YEAR] = [sum(building.heating_demand[cte.HOUR])]
+    building.cooling_demand[cte.YEAR] = [sum(building.cooling_demand[cte.HOUR])]
+    building.domestic_hot_water_heat_demand[cte.YEAR] = [sum(building.domestic_hot_water_heat_demand[cte.HOUR])]
+    building.appliances_electrical_demand[cte.YEAR] = [sum(building.appliances_electrical_demand[cte.HOUR])]
+    building.lighting_electrical_demand[cte.YEAR] = [sum(building.lighting_electrical_demand[cte.HOUR])]

hub/imports/results/ep_multiple_buildings.py

@@ -22,9 +22,11 @@ class EnergyPlusMultipleBuildings:
 
     with open(Path(energy_plus_output_file_path).resolve(), 'r', encoding='utf8') as csv_file:
       csv_output = list(csv.DictReader(csv_file))
-
+      print(csv_output)
+      return
       for building in self._city.buildings:
-        building_name = building.name
+        building_name = building.name.upper()
+
         buildings_energy_demands[f'Building {building_name} Heating Demand (J)'] = [
           float(
             row[f"{building_name} IDEAL LOADS AIR SYSTEM:Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)"])
@@ -36,7 +38,7 @@ class EnergyPlusMultipleBuildings:
           for row in csv_output
         ]
         buildings_energy_demands[f'Building {building_name} DHW Demand (W)'] = [
-          float(row[f"DHW {building.name}:Water Use Equipment Heating Rate [W](Hourly)"])
+          float(row[f"DHW {building_name}:Water Use Equipment Heating Rate [W](Hourly)"])
           for row in csv_output
         ]
         buildings_energy_demands[f'Building {building_name} Appliances (W)'] = [
@@ -58,14 +60,15 @@ class EnergyPlusMultipleBuildings:
     if energy_plus_output_file_path.is_file():
       building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
       for building in self._city.buildings:
-        building.heating_demand[cte.HOUR] = building_energy_demands[f'Building {building.name} Heating Demand (J)']
-        building.cooling_demand[cte.HOUR] = building_energy_demands[f'Building {building.name} Cooling Demand (J)']
+        building_name = building.name.upper()
+        building.heating_demand[cte.HOUR] = building_energy_demands[f'Building {building_name} Heating Demand (J)']
+        building.cooling_demand[cte.HOUR] = building_energy_demands[f'Building {building_name} Cooling Demand (J)']
         building.domestic_hot_water_heat_demand[cte.HOUR] = \
-            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} DHW Demand (W)']]
+            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} DHW Demand (W)']]
         building.appliances_electrical_demand[cte.HOUR] = \
-            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} Appliances (W)']]
+            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} Appliances (W)']]
         building.lighting_electrical_demand[cte.HOUR] = \
-            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building.name} Lighting (W)']]
+            [x * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[f'Building {building_name} Lighting (W)']]
         building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
         building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
         building.domestic_hot_water_heat_demand[cte.MONTH] = (

hub/imports/results/simplified_radiosity_algorithm.py

@@ -34,7 +34,7 @@ class SimplifiedRadiosityAlgorithm:
     for key in self._results:
       _irradiance = {}
       header_name = key.split(':')
-      result = [x * cte.WATTS_HOUR_TO_JULES for x in self._results[key]]
+      result = [x for x in self._results[key]]
       city_object_name = header_name[1]
       building = self._city.city_object(city_object_name)
       surface_id = header_name[2]

hub/imports/results_factory.py

@@ -8,6 +8,7 @@ Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concord
 from pathlib import Path
 
 from hub.helpers.utils import validate_import_export_type
+from hub.imports.results.energy_plus import EnergyPlus
 from hub.imports.results.insel_monthly_energry_balance import InselMonthlyEnergyBalance
 from hub.imports.results.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
 
@@ -60,6 +61,9 @@ class ResultFactory:
     """
     EnergyPlusMultipleBuildings(self._city, self._base_path).enrich()
 
+  def _cerc_idf(self):
+    EnergyPlus(self._city, self._base_path).enrich()
+
   def enrich(self):
     """
     Enrich the city given to the class using the usage factory given handler

hub/imports/usage/comnet_usage_parameters.py

@@ -3,6 +3,7 @@ ComnetUsageParameters extracts the usage properties from Comnet catalog and assi
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2022 Concordia CERC group
 Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Project Collaborator Saeed Ranjbar saeed.ranjbar@concordia.ca
 """
 import copy
 import logging
@@ -18,6 +19,8 @@ from hub.city_model_structure.building_demand.domestic_hot_water import Domestic
 from hub.city_model_structure.attributes.schedule import Schedule
 from hub.city_model_structure.building_demand.internal_gain import InternalGain
 from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
+from hub.catalog_factories.construction_catalog_factory import ConstructionCatalogFactory
+from hub.imports.construction.helpers.construction_helper import ConstructionHelper
 
 
 class ComnetUsageParameters:
@@ -35,28 +38,63 @@ class ComnetUsageParameters:
     city = self._city
     comnet_catalog = UsageCatalogFactory('comnet').catalog
     for building in city.buildings:
-      usage_name = Dictionaries().hub_usage_to_comnet_usage[building.function]
+      comnet_archetype_usages = []
+      usages = building.usages
+      for usage in usages:
+        comnet_usage_name = Dictionaries().hub_usage_to_comnet_usage[usage['usage']]
         try:
-        archetype_usage = self._search_archetypes(comnet_catalog, usage_name)
+          comnet_archetype_usage = self._search_archetypes(comnet_catalog, comnet_usage_name)
+          comnet_archetype_usages.append(comnet_archetype_usage)
         except KeyError:
-        logging.error('Building %s has unknown usage archetype for usage %s', building.name, usage_name)
+          logging.error('Building %s has unknown usage archetype for usage %s', building.name, comnet_usage_name)
           continue
 
-      for internal_zone in building.internal_zones:
+      for (i, internal_zone) in enumerate(building.internal_zones):
+        internal_zone_usages = []
+        if len(building.internal_zones) > 1:
+          volume_per_area = 0
           if internal_zone.area is None:
-          raise TypeError('Internal zone area not defined, ACH cannot be calculated')
+            logging.error('Building %s has internal zone area not defined, ACH cannot be calculated for usage %s',
+                          building.name, usages[i]['usage'])
+            continue
           if internal_zone.volume is None:
-          raise TypeError('Internal zone volume not defined, ACH cannot be calculated')
+            logging.error('Building %s has internal zone volume not defined, ACH cannot be calculated for usage %s',
+                          building.name, usages[i]['usage'])
+            continue
           if internal_zone.area <= 0:
-          raise TypeError('Internal zone area is zero, ACH cannot be calculated')
-        volume_per_area = internal_zone.volume / internal_zone.area
+            logging.error('Building %s has internal zone area equal to 0, ACH cannot be calculated for usage %s',
+                          building.name,  usages[i]['usage'])
+            continue
+          volume_per_area += internal_zone.volume / internal_zone.area
           usage = Usage()
-        usage.name = usage_name
-        self._assign_values(usage, archetype_usage, volume_per_area, building.cold_water_temperature)
+          usage.name = usages[i]['usage']
+          self._assign_values(usage, comnet_archetype_usages[i], volume_per_area, building.cold_water_temperature)
           usage.percentage = 1
-        self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
+          self._calculate_reduced_values_from_extended_library(usage, comnet_archetype_usages[i])
+          internal_zone_usages.append(usage)
+        else:
+          storeys_above_ground = building.storeys_above_ground
+          if storeys_above_ground is None:
+            logging.error('Building %s no number of storeys assigned, ACH cannot be calculated for usage %s. '
+                          'NRCAN construction data for the year %s is used to calculated number of storeys above '
+                          'ground', building.name,  usages, building.year_of_construction)
+            try:
+              storeys_above_ground = self.average_storey_height_calculator(self._city, building)
+            except ValueError as e:
+              logging.error(e)
+              continue
 
-        internal_zone.usages = [usage]
+          volume_per_area = building.volume / building.floor_area / storeys_above_ground
+          for j, usage_type in enumerate(usages):
+            usage = Usage()
+            usage.name = usage_type['usage']
+            usage.percentage = float(usage_type['ratio'])
+
+            self._assign_values(usage, comnet_archetype_usages[j], volume_per_area, building.cold_water_temperature)
+            self._calculate_reduced_values_from_extended_library(usage, comnet_archetype_usages[j])
+            internal_zone_usages.append(usage)
+
+        internal_zone.usages = internal_zone_usages
 
   @staticmethod
   def _search_archetypes(comnet_catalog, usage_name):
@@ -229,3 +267,28 @@ class ComnetUsageParameters:
     _mean_internal_gain.schedules = _schedules
 
     return [_mean_internal_gain]
+
+  @staticmethod
+  def average_storey_height_calculator(city, building):
+    climate_zone = ConstructionHelper.city_to_nrcan_climate_zone(city.climate_reference_city)
+    nrcan_catalog = ConstructionCatalogFactory('nrcan').catalog
+
+    if building.function not in Dictionaries().hub_function_to_nrcan_construction_function:
+      raise ValueError('Building %s has an unknown building function %s', building.name, building.function)
+
+    function = Dictionaries().hub_function_to_nrcan_construction_function[building.function]
+    construction_archetype = None
+    average_storey_height = None
+    nrcan_archetypes = nrcan_catalog.entries('archetypes')
+    for building_archetype in nrcan_archetypes:
+      construction_period_limits = building_archetype.construction_period.split('_')
+      if int(construction_period_limits[0]) <= int(building.year_of_construction) <= int(construction_period_limits[1]):
+        if str(function) == str(building_archetype.function) and climate_zone == str(building_archetype.climate_zone):
+          construction_archetype = building_archetype
+          average_storey_height = building_archetype.average_storey_height
+    if construction_archetype is None:
+      raise ValueError('Building %s has unknown construction archetype for building function: %s '
+                    '[%s], building year of construction: %s and climate zone %s', building.name, function,
+                    building.function, building.year_of_construction, climate_zone)
+
+    return average_storey_height

hub/imports/usage/nrcan_usage_parameters.py

@@ -3,11 +3,13 @@ NrcanUsageParameters extracts the usage properties from NRCAN catalog and assign
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2022 Concordia CERC group
 Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Project Collaborator Saeed Ranjbar saeed.ranjbar@concordia.ca
 """
 
 import logging
 
 import hub.helpers.constants as cte
+from hub.catalog_factories.construction_catalog_factory import ConstructionCatalogFactory
 from hub.helpers.dictionaries import Dictionaries
 from hub.city_model_structure.building_demand.usage import Usage
 from hub.city_model_structure.building_demand.lighting import Lighting
@@ -16,6 +18,7 @@ from hub.city_model_structure.building_demand.appliances import Appliances
 from hub.city_model_structure.building_demand.thermal_control import ThermalControl
 from hub.city_model_structure.building_demand.domestic_hot_water import DomesticHotWater
 from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
+from hub.imports.construction.helpers.construction_helper import ConstructionHelper
 
 
 class NrcanUsageParameters:
@@ -33,53 +36,74 @@ class NrcanUsageParameters:
     city = self._city
     nrcan_catalog = UsageCatalogFactory('nrcan').catalog
     comnet_catalog = UsageCatalogFactory('comnet').catalog
-
     for building in city.buildings:
-      usage_name = Dictionaries().hub_usage_to_nrcan_usage[building.function]
+      nrcan_archetype_usages = []
+      comnet_archetype_usages = []
+      usages = building.usages
+      for usage in usages:
+        usage_name = Dictionaries().hub_usage_to_nrcan_usage[usage['usage']]
         try:
           archetype_usage = self._search_archetypes(nrcan_catalog, usage_name)
+          nrcan_archetype_usages.append(archetype_usage)
         except KeyError:
           logging.error('Building %s has unknown usage archetype for usage %s', building.name, usage_name)
           continue
-
-      comnet_usage_name = Dictionaries().hub_usage_to_comnet_usage[building.function]
+        comnet_usage_name = Dictionaries().hub_usage_to_comnet_usage[usage['usage']]
         try:
           comnet_archetype_usage = self._search_archetypes(comnet_catalog, comnet_usage_name)
+          comnet_archetype_usages.append(comnet_archetype_usage)
         except KeyError:
           logging.error('Building %s has unknown usage archetype for usage %s', building.name, comnet_usage_name)
           continue
 
-      for internal_zone in building.internal_zones:
+      for (i, internal_zone) in enumerate(building.internal_zones):
+        internal_zone_usages = []
         if len(building.internal_zones) > 1:
           volume_per_area = 0
           if internal_zone.area is None:
             logging.error('Building %s has internal zone area not defined, ACH cannot be calculated for usage %s',
-                          building.name, usage_name)
+                          building.name, usages[i]['usage'])
             continue
           if internal_zone.volume is None:
             logging.error('Building %s has internal zone volume not defined, ACH cannot be calculated for usage %s',
-                          building.name, usage_name)
+                          building.name, usages[i]['usage'])
             continue
           if internal_zone.area <= 0:
             logging.error('Building %s has internal zone area equal to 0, ACH cannot be calculated for usage %s',
-                          building.name,  usage_name)
+                          building.name,  usages[i]['usage'])
             continue
           volume_per_area += internal_zone.volume / internal_zone.area
-        else:
-          if building.storeys_above_ground is None:
-            logging.error('Building %s no number of storeys assigned, ACH cannot be calculated for usage %s',
-                          building.name,  usage_name)
-            continue
-          volume_per_area = building.volume / building.floor_area / building.storeys_above_ground
-
           usage = Usage()
-        usage.name = usage_name
-        self._assign_values(usage, archetype_usage, volume_per_area, building.cold_water_temperature)
-        self._assign_comnet_extra_values(usage, comnet_archetype_usage, archetype_usage.occupancy.occupancy_density)
+          usage.name = usages[i]['usage']
+          self._assign_values(usage, nrcan_archetype_usages[i], volume_per_area, building.cold_water_temperature)
+          self._assign_comnet_extra_values(usage, comnet_archetype_usages[i], nrcan_archetype_usages[i].occupancy.occupancy_density)
           usage.percentage = 1
-        self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
+          self._calculate_reduced_values_from_extended_library(usage, nrcan_archetype_usages[i])
+          internal_zone_usages.append(usage)
+        else:
+          storeys_above_ground = building.storeys_above_ground
+          if storeys_above_ground is None:
+            logging.error('Building %s no number of storeys assigned, ACH cannot be calculated for function %s. '
+                          'NRCAN construction data for the year %s is used to calculated number of storeys above '
+                          'ground', building.name,  building.function, building.year_of_construction)
+            try:
+              storeys_above_ground = self.average_storey_height_calculator(self._city, building)
+            except ValueError as e:
+              logging.error(e)
+              continue
 
-        internal_zone.usages = [usage]
+          volume_per_area = building.volume / building.floor_area / storeys_above_ground
+          for j, usage_type in enumerate(usages):
+            usage = Usage()
+            usage.name = usage_type['usage']
+            usage.percentage = float(usage_type['ratio'])
+
+            self._assign_values(usage, nrcan_archetype_usages[j], volume_per_area, building.cold_water_temperature)
+            self._assign_comnet_extra_values(usage, comnet_archetype_usages[j], nrcan_archetype_usages[j].occupancy.occupancy_density)
+            self._calculate_reduced_values_from_extended_library(usage, nrcan_archetype_usages[j])
+            internal_zone_usages.append(usage)
+
+        internal_zone.usages = internal_zone_usages
 
   @staticmethod
   def _search_archetypes(catalog, usage_name):
@@ -197,3 +221,30 @@ class NrcanUsageParameters:
     usage.thermal_control.mean_heating_set_point = max_heating_setpoint
     usage.thermal_control.heating_set_back = min_heating_setpoint
     usage.thermal_control.mean_cooling_set_point = min_cooling_setpoint
+
+  @staticmethod
+  def average_storey_height_calculator(city, building):
+    climate_zone = ConstructionHelper.city_to_nrcan_climate_zone(city.climate_reference_city)
+    nrcan_catalog = ConstructionCatalogFactory('nrcan').catalog
+
+    if building.function not in Dictionaries().hub_function_to_nrcan_construction_function:
+      raise ValueError('Building %s has an unknown building function %s', building.name, building.function)
+
+    function = Dictionaries().hub_function_to_nrcan_construction_function[building.function]
+    construction_archetype = None
+    average_storey_height = None
+    nrcan_archetypes = nrcan_catalog.entries('archetypes')
+    for building_archetype in nrcan_archetypes:
+      construction_period_limits = building_archetype.construction_period.split('_')
+      if int(construction_period_limits[0]) <= int(building.year_of_construction) <= int(construction_period_limits[1]):
+        if str(function) == str(building_archetype.function) and climate_zone == str(building_archetype.climate_zone):
+          construction_archetype = building_archetype
+          average_storey_height = building_archetype.average_storey_height
+    if construction_archetype is None:
+      raise ValueError('Building %s has unknown construction archetype for building function: %s '
+                    '[%s], building year of construction: %s and climate zone %s', building.name, function,
+                    building.function, building.year_of_construction, climate_zone)
+
+    return average_storey_height
+
+

hub/imports/usage/palma_usage_parameters.py

@@ -0,0 +1,174 @@
+"""
+PalmaUsageParameters extracts the usage properties from Palma catalog and assigns to each building
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Concordia CERC group
+Project Coder Cecilia Pérez cperez@irec.cat
+"""
+
+import logging
+
+import hub.helpers.constants as cte
+from hub.helpers.dictionaries import Dictionaries
+from hub.city_model_structure.building_demand.usage import Usage
+from hub.city_model_structure.building_demand.lighting import Lighting
+from hub.city_model_structure.building_demand.occupancy import Occupancy
+from hub.city_model_structure.building_demand.appliances import Appliances
+from hub.city_model_structure.building_demand.thermal_control import ThermalControl
+from hub.city_model_structure.building_demand.domestic_hot_water import DomesticHotWater
+from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
+
+
+class PalmaUsageParameters:
+  """
+  PalmaUsageParameters class
+  """
+  def __init__(self, city):
+    self._city = city
+
+  def enrich_buildings(self):
+    """
+    Returns the city with the usage parameters assigned to the buildings
+    :return:
+    """
+    city = self._city
+    palma_catalog = UsageCatalogFactory('palma').catalog
+
+    for building in city.buildings:
+      palma_usage_name = Dictionaries().hub_usage_to_palma_usage[building.function]
+      try:
+        archetype_usage = self._search_archetypes(palma_catalog, palma_usage_name)
+      except KeyError:
+        logging.error('Building %s has unknown usage archetype for usage %s', building.name, palma_usage_name)
+        continue
+
+      for internal_zone in building.internal_zones:
+        if len(building.internal_zones) > 1:
+          volume_per_area = 0
+          if internal_zone.area is None:
+            logging.error('Building %s has internal zone area not defined, ACH cannot be calculated for usage %s',
+                          building.name, palma_usage_name)
+            continue
+          if internal_zone.volume is None:
+            logging.error('Building %s has internal zone volume not defined, ACH cannot be calculated for usage %s',
+                          building.name, palma_usage_name)
+            continue
+          if internal_zone.area <= 0:
+            logging.error('Building %s has internal zone area equal to 0, ACH cannot be calculated for usage %s',
+                          building.name,  palma_usage_name)
+            continue
+          volume_per_area += internal_zone.volume / internal_zone.area
+        else:
+          if building.storeys_above_ground is None:
+            logging.error('Building %s no number of storeys assigned, ACH cannot be calculated for usage %s',
+                          building.name,  palma_usage_name)
+            continue
+          volume_per_area = building.volume / building.floor_area / building.storeys_above_ground
+
+        usage = Usage()
+        usage.name = palma_usage_name
+        self._assign_values(usage, archetype_usage, volume_per_area, building.cold_water_temperature)
+        usage.percentage = 1
+        self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
+
+        internal_zone.usages = [usage]
+
+  @staticmethod
+  def _search_archetypes(palma_catalog, usage_name):
+    archetypes = palma_catalog.entries('archetypes').usages
+    for building_archetype in archetypes:
+      if str(usage_name) == str(building_archetype.name):
+        return building_archetype
+    raise KeyError('archetype not found')
+
+  @staticmethod
+  def _assign_values(usage, archetype, volume_per_area, cold_water_temperature):
+    if archetype.mechanical_air_change > 0:
+      # 1/s
+      usage.mechanical_air_change = archetype.mechanical_air_change
+    elif archetype.ventilation_rate > 0:
+      # m3/m2.s to 1/s
+      usage.mechanical_air_change = archetype.ventilation_rate / volume_per_area
+    else:
+      usage.mechanical_air_change = 0
+    _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.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.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.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.thermal_control = _control
+    _domestic_hot_water = DomesticHotWater()
+    _domestic_hot_water.peak_flow = archetype.domestic_hot_water.peak_flow
+    _domestic_hot_water.service_temperature = archetype.domestic_hot_water.service_temperature
+    density = None
+    if len(cold_water_temperature) > 0:
+      cold_temperature = cold_water_temperature[cte.YEAR][0]
+      density = (
+          archetype.domestic_hot_water.peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY *
+          (archetype.domestic_hot_water.service_temperature - cold_temperature)
+      )
+    _domestic_hot_water.density = density
+    _domestic_hot_water.schedules = archetype.domestic_hot_water.schedules
+    usage.domestic_hot_water = _domestic_hot_water
+
+  @staticmethod
+  def _calculate_reduced_values_from_extended_library(usage, 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.hours_day = total / 365
+    usage.days_year = 365
+
+    max_heating_setpoint = cte.MIN_FLOAT
+    min_heating_setpoint = cte.MAX_FLOAT
+
+    for schedule in archetype.thermal_control.heating_set_point_schedules:
+      if schedule.values is None:
+        max_heating_setpoint = None
+        min_heating_setpoint = None
+        break
+      if max(schedule.values) > max_heating_setpoint:
+        max_heating_setpoint = max(schedule.values)
+      if min(schedule.values) < min_heating_setpoint:
+        min_heating_setpoint = min(schedule.values)
+
+    min_cooling_setpoint = cte.MAX_FLOAT
+    for schedule in archetype.thermal_control.cooling_set_point_schedules:
+      if schedule.values is None:
+        min_cooling_setpoint = None
+        break
+      if min(schedule.values) < min_cooling_setpoint:
+        min_cooling_setpoint = min(schedule.values)
+
+    usage.thermal_control.mean_heating_set_point = max_heating_setpoint
+    usage.thermal_control.heating_set_back = min_heating_setpoint
+    usage.thermal_control.mean_cooling_set_point = min_cooling_setpoint

hub/imports/usage_factory.py

@@ -10,6 +10,7 @@ from hub.helpers.utils import validate_import_export_type
 from hub.imports.usage.comnet_usage_parameters import ComnetUsageParameters
 from hub.imports.usage.nrcan_usage_parameters import NrcanUsageParameters
 from hub.imports.usage.eilat_usage_parameters import EilatUsageParameters
+from hub.imports.usage.palma_usage_parameters import PalmaUsageParameters
 
 
 class UsageFactory:
@@ -48,6 +49,15 @@ class UsageFactory:
     for building in self._city.buildings:
       building.level_of_detail.usage = 2
 
+  def _palma(self):
+    """
+    Enrich the city with Palma usage library
+    """
+    PalmaUsageParameters(self._city).enrich_buildings()
+    self._city.level_of_detail.usage = 2
+    for building in self._city.buildings:
+      building.level_of_detail.usage = 2
+
   def enrich(self):
     """
     Enrich the city given to the class using the usage factory given handler

hub/imports/weather/epw_weather_parameters.py

@@ -110,12 +110,9 @@ class EpwWeatherParameters:
 #      new_value = pd.DataFrame(self._weather_values[['dry_bulb_temperature_c']].to_numpy(), columns=['epw'])
 #      number_invalid_records = new_value[new_value.epw == 99.9].count().epw
       building.external_temperature[cte.HOUR] = self._weather_values['dry_bulb_temperature_c']
-      building.global_horizontal[cte.HOUR] = [x * cte.WATTS_HOUR_TO_JULES
-                                              for x in self._weather_values['global_horizontal_radiation_wh_m2']]
-      building.diffuse[cte.HOUR] = [x * cte.WATTS_HOUR_TO_JULES
-                                    for x in self._weather_values['diffuse_horizontal_radiation_wh_m2']]
-      building.direct_normal[cte.HOUR] = [x * cte.WATTS_HOUR_TO_JULES
-                                          for x in self._weather_values['direct_normal_radiation_wh_m2']]
+      building.global_horizontal[cte.HOUR] = [x for x in self._weather_values['global_horizontal_radiation_wh_m2']]
+      building.diffuse[cte.HOUR] = [x for x in self._weather_values['diffuse_horizontal_radiation_wh_m2']]
+      building.direct_normal[cte.HOUR] = [x for x in self._weather_values['direct_normal_radiation_wh_m2']]
       building.beam[cte.HOUR] = [building.global_horizontal[cte.HOUR][i] -
                                  building.diffuse[cte.HOUR][i]
                                  for i in range(len(building.global_horizontal[cte.HOUR]))]

hub/persistence/models/city_object.py

@@ -9,6 +9,7 @@ import datetime
 import logging
 
 from sqlalchemy import Column, Integer, String, Sequence, ForeignKey, Float
+from sqlalchemy.dialects.postgresql import JSON
 from sqlalchemy import DateTime
 
 from hub.city_model_structure.building import Building
@@ -27,7 +28,7 @@ class CityObject(Models):
   type = Column(String, nullable=False)
   year_of_construction = Column(Integer, nullable=True)
   function = Column(String, nullable=True)
-  usage = Column(String, nullable=True)
+  usage = Column(JSON, nullable=True)
   volume = Column(Float, nullable=False)
   area = Column(Float, nullable=False)
   total_heating_area = Column(Float, nullable=False)
@@ -46,7 +47,7 @@ class CityObject(Models):
     self.type = building.type
     self.year_of_construction = building.year_of_construction
     self.function = building.function
-    self.usage = building.usages_percentage
+    self.usage = building.usages
     self.volume = building.volume
     self.area = building.floor_area
     self.roof_area = sum(roof.solid_polygon.area for roof in building.roofs)

hub/version.py

@@ -1,4 +1,4 @@
 """
 Hub version number
 """
-__version__ = '0.2.0.8'
+__version__ = '0.3.0.5'

requirements.txt

@@ -25,3 +25,4 @@ psycopg2-binary
 Pillow
 pathlib
 sqlalchemy_utils
+build

setup.py

@@ -59,12 +59,14 @@ setup(
             'hub.exports',
             'hub.exports.building_energy',
             'hub.exports.building_energy.idf_files',
+            'hub.exports.building_energy.idf_helper',
             'hub.exports.building_energy.insel',
             'hub.exports.energy_systems',
             'hub.exports.formats',
             'hub.helpers',
             'hub.helpers.peak_calculation',
             'hub.helpers.data',
+            'hub.helpers.parsers',
             'hub.imports',
             'hub.imports.construction',
             'hub.imports.construction.helpers',

tests/test_construction_catalog.py

@@ -71,3 +71,23 @@ class TestConstructionCatalog(TestCase):
 
     with self.assertRaises(IndexError):
       catalog.get_entry('unknown')
+
+  def test_palma_catalog(self):
+    catalog = ConstructionCatalogFactory('palma').catalog
+    catalog_categories = catalog.names()
+    constructions = catalog.names('constructions')
+    windows = catalog.names('windows')
+    materials = catalog.names('materials')
+    self.assertEqual(29, len(constructions['constructions']))
+    self.assertEqual(9, len(windows['windows']))
+    self.assertEqual(122, len(materials['materials']))
+    with self.assertRaises(ValueError):
+      catalog.names('unknown')
+
+    # retrieving all the entries should not raise any exceptions
+    for category in catalog_categories:
+      for value in catalog_categories[category]:
+        catalog.get_entry(value)
+
+    with self.assertRaises(IndexError):
+      catalog.get_entry('unknown')

tests/test_construction_factory.py

@@ -306,3 +306,24 @@ class TestConstructionFactory(TestCase):
             self.assertIsNotNone(thermal_boundary.layers, 'layers is none')
             self._check_thermal_openings(thermal_boundary)
             self._check_surfaces(thermal_boundary)
+
+  def test_palma_construction_factory(self):
+    file = 'palma_test_file.geojson'
+    file_path = (self._example_path / file).resolve()
+    city = GeometryFactory(file_type='geojson',
+                           path=file_path,
+                           height_field='measuredHeight',
+                           year_of_construction_field='yearOfConstruction',
+                           function_field='usage',
+                           function_to_hub=Dictionaries().palma_function_to_hub_function).city
+    ConstructionFactory('palma', city).enrich()
+    self._check_buildings(city)
+    for building in city.buildings:
+      for internal_zone in building.internal_zones:
+        self._check_thermal_zones(internal_zone)
+        for thermal_zone in internal_zone.thermal_zones_from_internal_zones:
+          self._check_thermal_boundaries(thermal_zone)
+          for thermal_boundary in thermal_zone.thermal_boundaries:
+            self.assertIsNotNone(thermal_boundary.layers, 'layers is none')
+            self._check_thermal_openings(thermal_boundary)
+            self._check_surfaces(thermal_boundary)

tests/test_exports.py

@@ -17,6 +17,7 @@ from hub.exports.exports_factory import ExportsFactory
 from hub.helpers.dictionaries import Dictionaries
 from hub.imports.construction_factory import ConstructionFactory
 from hub.imports.geometry_factory import GeometryFactory
+from hub.imports.results_factory import ResultFactory
 from hub.imports.usage_factory import UsageFactory
 from hub.imports.weather_factory import WeatherFactory
 
@@ -136,7 +137,6 @@ class TestExports(TestCase):
                            year_of_construction_field='ANNEE_CONS',
                            function_field='CODE_UTILI',
                            function_to_hub=Dictionaries().montreal_function_to_hub_function).city
-
     self.assertIsNotNone(city, 'city is none')
     EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
     ConstructionFactory('nrcan', city).enrich()
@@ -144,6 +144,42 @@ class TestExports(TestCase):
     UsageFactory('nrcan', city).enrich()
     WeatherFactory('epw', city).enrich()
     try:
-      EnergyBuildingsExportsFactory('idf', city, self._output_path, target_buildings=[1]).export()
+      _idf = EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
+      _idf.run()
+    except Exception:
+      self.fail("Idf ExportsFactory raised ExceptionType unexpectedly!")
+
+  def test_cerc_idf_export(self):
+    """
+    export to IDF
+    """
+    file = 'test.geojson'
+    file_path = (self._example_path / file).resolve()
+    city = GeometryFactory('geojson',
+                           path=file_path,
+                           height_field='citygml_me',
+                           year_of_construction_field='ANNEE_CONS',
+                           function_field='CODE_UTILI',
+                           function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+    self.assertIsNotNone(city, 'city is none')
+    ConstructionFactory('nrcan', city).enrich()
+    UsageFactory('nrcan', city).enrich()
+    WeatherFactory('epw', city).enrich()
+    try:
+      idf = EnergyBuildingsExportsFactory('cerc_idf', city, self._output_path).export()
+      idf.run()
+      csv_output_path = (self._output_path / f'{city.name}_out.csv').resolve()
+      ResultFactory('cerc_idf', city, csv_output_path).enrich()
+      self.assertTrue(csv_output_path.is_file())
+      for building in city.buildings:
+        self.assertIsNotNone(building.heating_demand)
+        self.assertIsNotNone(building.cooling_demand)
+        self.assertIsNotNone(building.domestic_hot_water_heat_demand)
+        self.assertIsNotNone(building.lighting_electrical_demand)
+        self.assertIsNotNone(building.appliances_electrical_demand)
+        total_demand = sum(building.heating_demand[cte.HOUR])
+        total_demand_month = sum(building.heating_demand[cte.MONTH])
+        self.assertAlmostEqual(total_demand, building.heating_demand[cte.YEAR][0], 2)
+        self.assertAlmostEqual(total_demand_month, building.heating_demand[cte.YEAR][0], 2)
     except Exception:
       self.fail("Idf ExportsFactory raised ExceptionType unexpectedly!")

tests/test_results_import.py

@@ -92,42 +92,3 @@ class TestResultsImport(TestCase):
       building.cooling_demand[cte.HOUR] = values
       self.assertIsNotNone(building.heating_peak_load)
       self.assertIsNotNone(building.cooling_peak_load)
-
-  def test_energy_plus_results_import(self):
-    ResultFactory('energy_plus_single_building', self._city, self._example_path).enrich()
-    for building in self._city.buildings:
-      csv_output_name = f'{building.name}_out.csv'
-      csv_output_path = (self._example_path / csv_output_name).resolve()
-      if csv_output_path.is_file():
-        self.assertEqual(building.name, '12')
-        self.assertIsNotNone(building.heating_demand)
-        self.assertIsNotNone(building.cooling_demand)
-        self.assertIsNotNone(building.domestic_hot_water_heat_demand)
-        self.assertIsNotNone(building.lighting_electrical_demand)
-        self.assertIsNotNone(building.appliances_electrical_demand)
-        total_demand = sum(building.heating_demand[cte.HOUR])
-        self.assertAlmostEqual(total_demand, building.heating_demand[cte.YEAR][0], 3)
-        total_demand = sum(building.heating_demand[cte.MONTH])
-        self.assertEqual(total_demand, building.heating_demand[cte.YEAR][0], 3)
-      if building.name != '12':
-        self.assertDictEqual(building.heating_demand, {})
-        self.assertDictEqual(building.cooling_demand, {})
-        self.assertDictEqual(building.domestic_hot_water_heat_demand, {})
-        self.assertDictEqual(building.lighting_electrical_demand, {})
-        self.assertDictEqual(building.appliances_electrical_demand, {})
-
-  def test_energy_plus_multiple_buildings_results_import(self):
-    ResultFactory('energy_plus_multiple_buildings', self._city, self._example_path).enrich()
-    csv_output_name = f'{self._city.name}_out.csv'
-    csv_output_path = (self._example_path / csv_output_name).resolve()
-    if csv_output_path.is_file():
-      for building in self._city.buildings:
-        self.assertIsNotNone(building.heating_demand)
-        self.assertIsNotNone(building.cooling_demand)
-        self.assertIsNotNone(building.domestic_hot_water_heat_demand)
-        self.assertIsNotNone(building.lighting_electrical_demand)
-        self.assertIsNotNone(building.appliances_electrical_demand)
-        total_demand = sum(building.heating_demand[cte.HOUR])
-        self.assertAlmostEqual(total_demand, building.heating_demand[cte.YEAR][0], 2)
-        total_demand = sum(building.heating_demand[cte.MONTH])
-        self.assertEqual(total_demand, building.heating_demand[cte.YEAR][0], 2)

tests/test_systems_catalog.py

@@ -39,11 +39,32 @@ class TestSystemsCatalog(TestCase):
 
     catalog_categories = catalog.names()
     archetypes = catalog.names()
-    self.assertEqual(15, len(archetypes['archetypes']))
+    self.assertEqual(34, len(archetypes['archetypes']))
     systems = catalog.names('systems')
-    self.assertEqual(12, len(systems['systems']))
+    self.assertEqual(39, len(systems['systems']))
     generation_equipments = catalog.names('generation_equipments')
-    self.assertEqual(27, len(generation_equipments['generation_equipments']))
+    self.assertEqual(49, len(generation_equipments['generation_equipments']))
+    with self.assertRaises(ValueError):
+      catalog.names('unknown')
+
+    # retrieving all the entries should not raise any exceptions
+    for category in catalog_categories:
+      for value in catalog_categories[category]:
+        catalog.get_entry(value)
+
+    with self.assertRaises(IndexError):
+      catalog.get_entry('unknown')
+
+
+  def test_palma_catalog(self):
+    catalog = EnergySystemsCatalogFactory('palma').catalog
+    catalog_categories = catalog.names()
+    archetypes = catalog.names()
+    self.assertEqual(15, len(archetypes['archetypes']))
+    systems = catalog.names('systems')
+    self.assertEqual(13, len(systems['systems']))
+    generation_equipments = catalog.names('generation_equipments')
+    self.assertEqual(16, len(generation_equipments['generation_equipments']))
     with self.assertRaises(ValueError):
       catalog.names('unknown')
 
@@ -54,4 +75,3 @@ class TestSystemsCatalog(TestCase):
 
     with self.assertRaises(IndexError):
       catalog.get_entry('unknown')
-    print(catalog.entries())

tests/test_systems_factory.py

@@ -114,7 +114,8 @@ class TestSystemsFactory(TestCase):
     ResultFactory('insel_monthly_energy_balance', self._city, self._output_path).enrich()
 
     for building in self._city.buildings:
-      building.energy_systems_archetype_name = 'PV+ASHP+GasBoiler+TES'
+      building.energy_systems_archetype_name = ('Central Hydronic Air and Gas Source Heating System with Unitary Split '
+                                                'Cooling and Air Source HP DHW and Grid Tied PV')
     EnergySystemsFactory('montreal_future', self._city).enrich()
     # Need to assign energy systems to buildings:
     for building in self._city.buildings:
@@ -127,6 +128,44 @@ class TestSystemsFactory(TestCase):
           _generation_system = cast(NonPvGenerationSystem, energy_system.generation_systems[0])
           _generation_system.nominal_cooling_output = building.cooling_peak_load[cte.YEAR][0]
 
+    for building in self._city.buildings:
+      self.assertLess(0, building.heating_consumption[cte.YEAR][0])
+      self.assertLess(0, building.cooling_consumption[cte.YEAR][0])
+      self.assertLess(0, building.domestic_hot_water_consumption[cte.YEAR][0])
+      if 'PV' in building.energy_systems_archetype_name:
+        self.assertLess(0, building.onsite_electrical_production[cte.YEAR][0])
+
+  def test_palma_system_results(self):
+    """
+    Enrich the city with the construction information and verify it
+    """
+    ConstructionFactory('nrcan', self._city).enrich()
+    UsageFactory('nrcan', self._city).enrich()
+    WeatherFactory('epw', self._city).enrich()
+    ExportsFactory('sra', self._city, self._output_path).export()
+    sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve()
+    subprocess.run(['sra', str(sra_path)])
+    ResultFactory('sra', self._city, self._output_path).enrich()
+    EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, self._output_path).export()
+    for building in self._city.buildings:
+      insel_path = (self._output_path / f'{building.name}.insel')
+      subprocess.run(['insel', str(insel_path)])
+    ResultFactory('insel_monthly_energy_balance', self._city, self._output_path).enrich()
+
+    for building in self._city.buildings:
+      building.energy_systems_archetype_name = 'PV and heat pump'
+    EnergySystemsFactory('palma', self._city).enrich()
+    # Need to assign energy systems to buildings:
+    for building in self._city.buildings:
+      _building_energy_systems = []
+      for energy_system in building.energy_systems:
+        if cte.HEATING in energy_system.demand_types:
+          _generation_system = cast(NonPvGenerationSystem, energy_system.generation_systems[0])
+          _generation_system.nominal_heat_output = building.heating_peak_load[cte.YEAR][0]
+        if cte.COOLING in energy_system.demand_types:
+          _generation_system = cast(NonPvGenerationSystem, energy_system.generation_systems[0])
+          _generation_system.nominal_cooling_output = building.cooling_peak_load[cte.YEAR][0]
+
     for building in self._city.buildings:
       self.assertLess(0, building.heating_consumption[cte.YEAR][0])
       self.assertLess(0, building.cooling_consumption[cte.YEAR][0])

tests/test_usage_catalog.py

@@ -21,3 +21,10 @@ class TestConstructionCatalog(TestCase):
     self.assertIsNotNone(catalog, 'catalog is none')
     content = catalog.entries()
     self.assertEqual(34, len(content.usages), 'Wrong number of usages')
+
+  def test_palma_catalog(self):
+    catalog = UsageCatalogFactory('palma').catalog
+    self.assertIsNotNone(catalog, 'catalog is none')
+    content = catalog.entries()
+    #print(catalog.entries())
+    self.assertEqual(1, len(content.usages), 'Wrong number of usages')

tests/test_usage_factory.py

@@ -11,6 +11,7 @@ from hub.imports.geometry_factory import GeometryFactory
 from hub.imports.construction_factory import ConstructionFactory
 from hub.imports.usage_factory import UsageFactory
 from hub.helpers.dictionaries import Dictionaries
+from hub.helpers.usage_parsers import UsageParsers
 
 
 class TestUsageFactory(TestCase):
@@ -75,22 +76,6 @@ class TestUsageFactory(TestCase):
     self.assertIsNotNone(usage.thermal_control.heating_set_back, 'control heating set back is none')
     self.assertIsNotNone(usage.thermal_control.mean_cooling_set_point, 'control cooling set point is none')
 
-  def test_import_comnet(self):
-    """
-    Enrich the city with the usage information from comnet and verify it
-    """
-    file = 'pluto_building.gml'
-    city = self._get_citygml(file)
-    for building in city.buildings:
-      building.function = Dictionaries().pluto_function_to_hub_function[building.function]
-
-    UsageFactory('comnet', city).enrich()
-    self._check_buildings(city)
-    for building in city.buildings:
-      for internal_zone in building.internal_zones:
-        self.assertIsNot(len(internal_zone.usages), 0, 'no building usage defined')
-        for usage in internal_zone.usages:
-          self._check_usage(usage)
     self.assertIsNotNone(usage.mechanical_air_change, 'mechanical air change is none')
     self.assertIsNotNone(usage.thermal_control.heating_set_point_schedules,
                          'control heating set point schedule is none')
@@ -121,11 +106,28 @@ class TestUsageFactory(TestCase):
     self.assertIsNotNone(appliances.schedules, 'appliances schedule is none')
     self.assertIsNotNone(usage.thermal_control.hvac_availability_schedules,
                          'control hvac availability is none')
-          self.assertIsNotNone(usage.domestic_hot_water.density, 'domestic hot water density is none')
     self.assertIsNotNone(usage.domestic_hot_water.service_temperature,
                          'domestic hot water service temperature is none')
     self.assertIsNotNone(usage.domestic_hot_water.schedules, 'domestic hot water schedules is none')
 
+  def test_import_comnet(self):
+    """
+    Enrich the city with the usage information from comnet and verify it
+    """
+    file = 'pluto_building.gml'
+    city = self._get_citygml(file)
+    for building in city.buildings:
+      building.function = Dictionaries().pluto_function_to_hub_function[building.function]
+
+    UsageFactory('comnet', city).enrich()
+    self._check_buildings(city)
+    for building in city.buildings:
+      for internal_zone in building.internal_zones:
+        self.assertIsNot(len(internal_zone.usages), 0, 'no building usage defined')
+        for usage in internal_zone.usages:
+          self._check_usage(usage)
+          self.assertIsNotNone(usage.domestic_hot_water.density, 'domestic hot water density is none')
+
   def test_import_nrcan(self):
     """
     Enrich the city with the usage information from nrcan and verify it
@@ -148,37 +150,58 @@ class TestUsageFactory(TestCase):
           self.assertIsNot(len(internal_zone.usages), 0, 'no building usage defined')
           for usage in internal_zone.usages:
             self._check_usage(usage)
-            self.assertIsNotNone(usage.mechanical_air_change, 'mechanical air change is none')
-            self.assertIsNotNone(usage.thermal_control.heating_set_point_schedules,
-                                 'control heating set point schedule is none')
-            self.assertIsNotNone(usage.thermal_control.cooling_set_point_schedules,
-                                 'control cooling set point schedule is none')
-            self.assertIsNotNone(usage.occupancy, 'occupancy is none')
-            occupancy = usage.occupancy
-            self.assertIsNotNone(occupancy.occupancy_density, 'occupancy density is none')
-            self.assertIsNotNone(occupancy.latent_internal_gain, 'occupancy latent internal gain is none')
-            self.assertIsNotNone(occupancy.sensible_convective_internal_gain,
-                                 'occupancy sensible convective internal gain is none')
-            self.assertIsNotNone(occupancy.sensible_radiative_internal_gain,
-                                 'occupancy sensible radiant internal gain is none')
-            self.assertIsNotNone(occupancy.occupancy_schedules, 'occupancy schedule is none')
-            self.assertIsNotNone(usage.lighting, 'lighting is none')
-            lighting = usage.lighting
-            self.assertIsNotNone(lighting.density, 'lighting density is none')
-            self.assertIsNotNone(lighting.latent_fraction, 'lighting latent fraction is none')
-            self.assertIsNotNone(lighting.convective_fraction, 'lighting convective fraction is none')
-            self.assertIsNotNone(lighting.radiative_fraction, 'lighting radiant fraction is none')
-            self.assertIsNotNone(lighting.schedules, 'lighting schedule is none')
-            self.assertIsNotNone(usage.appliances, 'appliances is none')
-            appliances = usage.appliances
-            self.assertIsNotNone(appliances.density, 'appliances density is none')
-            self.assertIsNotNone(appliances.latent_fraction, 'appliances latent fraction is none')
-            self.assertIsNotNone(appliances.convective_fraction, 'appliances convective fraction is none')
-            self.assertIsNotNone(appliances.radiative_fraction, 'appliances radiant fraction is none')
-            self.assertIsNotNone(appliances.schedules, 'appliances schedule is none')
-            self.assertIsNotNone(usage.thermal_control.hvac_availability_schedules,
-                                 'control hvac availability is none')
+  
+  def test_import_palma(self):
+    """
+    Enrich the city with the usage information from palma and verify it
+    """
+    file = 'palma_test_file.geojson'
+    file_path = (self._example_path / file).resolve()
+    city = GeometryFactory('geojson',
+                           path=file_path,
+                           height_field='measuredHeight',
+                           year_of_construction_field='yearOfConstruction',
+                           function_field='usage',
+                           function_to_hub=Dictionaries().palma_function_to_hub_function).city
+
+    ConstructionFactory('palma', city).enrich()
+    UsageFactory('palma', city).enrich()
+    self._check_buildings(city)
+    for building in city.buildings:
+      for internal_zone in building.internal_zones:
+        if internal_zone.usages is not None:
+          self.assertIsNot(len(internal_zone.usages), 0, 'no building usage defined')
+          for usage in internal_zone.usages:
+            self._check_usage(usage)
             self.assertIsNotNone(usage.domestic_hot_water.peak_flow, 'domestic hot water peak flow is none')
-            self.assertIsNotNone(usage.domestic_hot_water.service_temperature,
-                                 'domestic hot water service temperature is none')
-            self.assertIsNotNone(usage.domestic_hot_water.schedules, 'domestic hot water schedules is none')
+
+
+
+  def test_import_nrcan_multiusage(self):
+    """
+    Enrich the city with the usage information from nrcan and verify it
+    """
+    file = 'test.geojson'
+    file_path = (self._example_path / file).resolve()
+
+    function_dictionary = Dictionaries().montreal_function_to_hub_function
+    usage_parser = UsageParsers().list_usage_to_hub(function_dictionary=function_dictionary)
+
+    city = GeometryFactory('geojson',
+                           path=file_path,
+                           height_field='citygml_me',
+                           year_of_construction_field='ANNEE_CONS',
+                           function_field='CODE_UTILI',
+                           function_to_hub=function_dictionary,
+                           usages_field='usages',
+                           usages_to_hub=usage_parser).city
+
+    ConstructionFactory('nrcan', city).enrich()
+    UsageFactory('nrcan', city).enrich()
+    self._check_buildings(city)
+    for building in city.buildings:
+      for internal_zone in building.internal_zones:
+        if internal_zone.usages is not None:
+          self.assertIsNot(len(internal_zone.usages), 0, 'no building usage defined')
+          for usage in internal_zone.usages:
+            self._check_usage(usage)