Update hub/version.py

Reviewed-on: #79

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
@@ -257,7 +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]:
@@ -594,19 +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]]:
     """

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
@@ -51,10 +51,6 @@ class ThermalZone:
     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
@@ -64,7 +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:
@@ -77,24 +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

hub/city_model_structure/energy_systems/pv_generation_system.py

@@ -28,9 +28,7 @@ class PvGenerationSystem(GenerationSystem):
     self._height = 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):
@@ -225,33 +223,17 @@ class PvGenerationSystem(GenerationSystem):
     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_modified.json

@@ -1,774 +0,0 @@
-{
-    "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        },
-        {
-            "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,
-            "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"
-                }
-            },
-            "infiltration_rate_area_for_ventilation_system_on": 0,
-            "infiltration_rate_area_for_ventilation_system_off": 0
-        }
-    ]
-}

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()
@@ -444,7 +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,
@@ -467,7 +470,7 @@ class Idf:
 
   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*1
+    _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,
@@ -501,7 +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'
@@ -528,11 +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:
@@ -586,9 +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:
@@ -651,14 +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)
@@ -727,7 +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:
@@ -758,13 +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:
@@ -776,7 +791,10 @@ class Idf:
       for surface in building.surfaces:
         if surface.type == cte.WALL:
           wwr = surface.associated_thermal_boundaries[0].window_ratio
-      self._idf.set_wwr(wwr, construction='window_construction_1')
+      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
@@ -20,6 +21,7 @@ class EnergyBuildingsExportsFactory:
   """
   Energy Buildings exports factory class
   """
+
   def __init__(self, handler, city, path, custom_insel_block='d18599', target_buildings=None, weather_file=None):
     self._city = city
     self._export_type = '_' + handler.lower()
@@ -62,6 +64,17 @@ class EnergyBuildingsExportsFactory:
     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 CercIdf(self._city, self._path, (idf_data_path / 'base.idf'), (idf_data_path / 'Energy+.idd'), weather_path,
+                   target_buildings=self._target_buildings)
+
   @property
   def _insel_monthly_energy_balance(self):
     """

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/helpers/constants.py

@@ -24,8 +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
-
+INFILTRATION_75PA_TO_4PA = (4 / 75) ** 0.65
 
 # time
 SECOND = 'second'
@@ -186,6 +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'

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/nrcan_physics_parameters.py

@@ -33,21 +33,10 @@ class NrcanPhysicsParameters:
     city = self._city
     nrcan_catalog = ConstructionCatalogFactory('nrcan').catalog
     for building in city.buildings:
-      main_function = None
-      functions = building.function.split('_')
-      if len(functions) > 1:
-        maximum_percentage = 0
-        for function in functions:
-          percentage_and_function = function.split('-')
-          if float(percentage_and_function[0]) > maximum_percentage:
-            maximum_percentage = float(percentage_and_function[0])
-            main_function = percentage_and_function[-1]
-      else:
-        main_function = functions[-1]
-      if main_function not in Dictionaries().hub_function_to_nrcan_construction_function:
-        logging.error('Building %s has an unknown building function %s', building.name, main_function)
+      if building.function not in Dictionaries().hub_function_to_nrcan_construction_function:
+        logging.error('Building %s has an unknown building function %s', building.name, building.function)
         continue
-      function = Dictionaries().hub_function_to_nrcan_construction_function[main_function]
+      function = Dictionaries().hub_function_to_nrcan_construction_function[building.function]
       try:
         archetype = self._search_archetype(nrcan_catalog, function, building.year_of_construction, self._climate_zone)
 

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())
 
@@ -117,41 +121,30 @@ 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 function == 'Mixed use' or function == 'mixed use':
-            function_parts = []
-            if 'usages' in feature['properties']:
-              usages = feature['properties']['usages']
-              for usage in usages:
-                if self._function_to_hub is not None and usage['usage'] in self._function_to_hub:
-                  function_parts.append(f"{usage['percentage']}-{self._function_to_hub[usage['usage']]}")
-                else:
-                  function_parts.append(f"{usage['percentage']}-{usage['usage']}")
-            else:
-              for key, value in feature['properties'].items():
-                if key.startswith("mixed_type_") and not key.endswith("_percentage"):
-                  type_key = key
-                  percentage_key = f"{key}_percentage"
-                  if percentage_key in feature['properties']:
-                    if self._function_to_hub is not None and feature['properties'][type_key] in self._function_to_hub:
-                      usage_function = self._function_to_hub[feature['properties'][type_key]]
-                      function_parts.append(f"{feature['properties'][percentage_key]}-{usage_function}")
-                    else:
-                      function_parts.append(f"{feature['properties'][percentage_key]}-{feature['properties'][type_key]}")
-            function = "_".join(function_parts)
           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:
@@ -170,6 +163,7 @@ class Geojson:
                                                building_name,
                                                building_aliases,
                                                function,
+                                               usages,
                                                year_of_construction,
                                                extrusion_height))
 
@@ -178,6 +172,7 @@ class Geojson:
                                                      building_name,
                                                      building_aliases,
                                                      function,
+                                                     usages,
                                                      year_of_construction,
                                                      extrusion_height))
         else:
@@ -203,7 +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(
@@ -236,7 +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:
@@ -271,13 +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:
@@ -310,7 +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:
@@ -345,7 +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.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)"])

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

@@ -38,38 +38,36 @@ class ComnetUsageParameters:
     city = self._city
     comnet_catalog = UsageCatalogFactory('comnet').catalog
     for building in city.buildings:
-      usages = []
       comnet_archetype_usages = []
-      building_functions = building.function.split('_')
-      for function in building_functions:
-        usages.append(function.split('-'))
+      usages = building.usages
       for usage in usages:
-        comnet_usage_name = Dictionaries().hub_usage_to_comnet_usage[usage[-1]]
+        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 (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, usages[i][-1])
+                          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, usages[i][-1])
+                          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,  usages[i][-1])
+                          building.name,  usages[i]['usage'])
             continue
           volume_per_area += internal_zone.volume / internal_zone.area
           usage = Usage()
-          usage.name = usages[i][-1]
+          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, comnet_archetype_usages[i])
@@ -80,20 +78,24 @@ class ComnetUsageParameters:
             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)
-            storeys_above_ground = self.average_storey_height_calculator(self._city, building)
+            try:
+              storeys_above_ground = self.average_storey_height_calculator(self._city, building)
+            except ValueError as e:
+              logging.error(e)
+              continue
+
           volume_per_area = building.volume / building.floor_area / storeys_above_ground
-          for (j, mixed_usage) in enumerate(usages):
+          for j, usage_type in enumerate(usages):
             usage = Usage()
-            usage.name = mixed_usage[-1]
-            if len(usages) > 1:
-              usage.percentage = float(mixed_usage[0]) / 100
-            else:
-              usage.percentage = 1
+            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):
     comnet_archetypes = comnet_catalog.entries('archetypes').usages
@@ -270,20 +272,11 @@ class ComnetUsageParameters:
   def average_storey_height_calculator(city, building):
     climate_zone = ConstructionHelper.city_to_nrcan_climate_zone(city.climate_reference_city)
     nrcan_catalog = ConstructionCatalogFactory('nrcan').catalog
-    main_function = None
-    functions = building.function.split('_')
-    if len(functions) > 1:
-      maximum_percentage = 0
-      for function in functions:
-        percentage_and_function = function.split('-')
-        if float(percentage_and_function[0]) > maximum_percentage:
-          maximum_percentage = float(percentage_and_function[0])
-          main_function = percentage_and_function[-1]
-    else:
-      main_function = functions[-1]
-    if main_function not in Dictionaries().hub_function_to_nrcan_construction_function:
-      logging.error('Building %s has an unknown building function %s', building.name, main_function)
-    function = Dictionaries().hub_function_to_nrcan_construction_function[main_function]
+
+    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')
@@ -294,7 +287,7 @@ class ComnetUsageParameters:
           construction_archetype = building_archetype
           average_storey_height = building_archetype.average_storey_height
     if construction_archetype is None:
-      logging.error('Building %s has unknown construction archetype for building function: %s '
+      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)
 

hub/imports/usage/nrcan_usage_parameters.py

@@ -37,21 +37,18 @@ class NrcanUsageParameters:
     nrcan_catalog = UsageCatalogFactory('nrcan').catalog
     comnet_catalog = UsageCatalogFactory('comnet').catalog
     for building in city.buildings:
-      usages = []
       nrcan_archetype_usages = []
       comnet_archetype_usages = []
-      building_functions = building.function.split('_')
-      for function in building_functions:
-        usages.append(function.split('-'))
+      usages = building.usages
       for usage in usages:
-        usage_name = Dictionaries().hub_usage_to_nrcan_usage[usage[-1]]
+        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[usage[-1]]
+        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)
@@ -65,19 +62,19 @@ class NrcanUsageParameters:
           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, usages[i][-1])
+                          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, usages[i][-1])
+                          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,  usages[i][-1])
+                          building.name,  usages[i]['usage'])
             continue
           volume_per_area += internal_zone.volume / internal_zone.area
           usage = Usage()
-          usage.name = usages[i][-1]
+          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
@@ -86,19 +83,21 @@ class NrcanUsageParameters:
         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. '
+            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,  usages, building.year_of_construction)
-            storeys_above_ground = self.average_storey_height_calculator(self._city, building)
-            continue
+                          '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
+
           volume_per_area = building.volume / building.floor_area / storeys_above_ground
-          for (j, mixed_usage) in enumerate(usages):
+          for j, usage_type in enumerate(usages):
             usage = Usage()
-            usage.name = mixed_usage[-1]
-            if len(usages) > 1:
-              usage.percentage = float(mixed_usage[0]) / 100
-            else:
-              usage.percentage = 1
+            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])
@@ -227,20 +226,11 @@ class NrcanUsageParameters:
   def average_storey_height_calculator(city, building):
     climate_zone = ConstructionHelper.city_to_nrcan_climate_zone(city.climate_reference_city)
     nrcan_catalog = ConstructionCatalogFactory('nrcan').catalog
-    main_function = None
-    functions = building.function.split('_')
-    if len(functions) > 1:
-      maximum_percentage = 0
-      for function in functions:
-        percentage_and_function = function.split('-')
-        if float(percentage_and_function[0]) > maximum_percentage:
-          maximum_percentage = float(percentage_and_function[0])
-          main_function = percentage_and_function[-1]
-    else:
-      main_function = functions[-1]
-    if main_function not in Dictionaries().hub_function_to_nrcan_construction_function:
-      logging.error('Building %s has an unknown building function %s', building.name, main_function)
-    function = Dictionaries().hub_function_to_nrcan_construction_function[main_function]
+
+    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')
@@ -251,7 +241,7 @@ class NrcanUsageParameters:
           construction_archetype = building_archetype
           average_storey_height = building_archetype.average_storey_height
     if construction_archetype is None:
-      logging.error('Building %s has unknown construction archetype for building function: %s '
+      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)
 

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__ = '0.2.0.14'
+__version__ = '0.3.0.5'

requirements.txt

@@ -1,5 +1,5 @@
 xmltodict
-numpy==1.26.4
+numpy
 trimesh[all]
 pyproj
 pandas

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_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_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):
@@ -75,6 +76,40 @@ 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')
 
+    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')
+    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
@@ -91,40 +126,7 @@ 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')
           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_nrcan(self):
     """
@@ -148,40 +150,6 @@ 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')
-            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_palma(self):
     """
@@ -205,38 +173,35 @@ 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')
             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)