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Merge remote-tracking branch 'origin/feature/cmm_project' into feature/cmm_project

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# Conflicts:
#	crs_conversion.py
#	hub/city_model_structure/building.py
#	hub/imports/geometry/geojson.py
#	hub/imports/geometry_factory.py
#	hub/imports/results/archetype_based_demand.py
#	main.py
#	pv_assessment/electricity_demand_calculator.py
#	pv_assessment/pv_system_assessment.py
#	random_assignation.py
This commit is contained in:
Saeed Ranjbar 2024-12-05 09:47:39 +01:00
commit 960f638e88
18 changed files with 20390 additions and 880 deletions
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14
crs_conversion.py
View File

@ -2,23 +2,17 @@ import geopandas as gpd
from shapely.geometry import Polygon, MultiPolygon from shapely.geometry import Polygon, MultiPolygon
from shapely.geometry.polygon import orient from shapely.geometry.polygon import orient
# Path to the input GeoJSON file input_file = 'data/selected_buildings.geojson'
input_file = 'data/cmm_test.geojson'
# Path to the output GeoJSON file output_file = 'data/selected_buildings_corrected.geojson'
output_file = 'data/cmm_test_corrected.geojson'
# Read the GeoJSON file
gdf = gpd.read_file(input_file) gdf = gpd.read_file(input_file)
# Set the CRS to EPSG:3857 if not already set
if gdf.crs is None: if gdf.crs is None:
gdf.set_crs(epsg=3857, inplace=True) gdf.set_crs(epsg=3857, inplace=True)
# Convert the CRS to EPSG:4326 (longitude and latitude)
gdf = gdf.to_crs(epsg=4326) gdf = gdf.to_crs(epsg=4326)
# Function to reorient geometries to follow the right-hand rule
def reorient_geometry(geom): def reorient_geometry(geom):
if geom.is_empty: if geom.is_empty:
return geom return geom
@ -30,10 +24,6 @@ def reorient_geometry(geom):
else: else:
return geom return geom
# Apply the reorientation to the geometry column
gdf['geometry'] = gdf['geometry'].apply(reorient_geometry) gdf['geometry'] = gdf['geometry'].apply(reorient_geometry)
# Save the transformed GeoDataFrame to a new GeoJSON file
gdf.to_file(output_file, driver='GeoJSON') gdf.to_file(output_file, driver='GeoJSON')
print(f"Converted GeoJSON with right-hand rule orientation has been saved to {output_file}")

52
data/selected_buildings.geojson Normal file
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@ -0,0 +1,52 @@
{
"type": "FeatureCollection",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
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]
}

66
hub/city_model_structure/building.py
View File

@ -27,7 +27,7 @@ class Building(CityObject):
""" """
Building(CityObject) class Building(CityObject) class
""" """
def __init__(self, name, surfaces, year_of_construction, function, adjacency, terrains=None, city=None): def __init__(self, name, surfaces, year_of_construction, function, adjacency, lot_area, build_area, terrains=None, city=None):
super().__init__(name, surfaces) super().__init__(name, surfaces)
self._city = city self._city = city
self._households = None self._households = None
@ -37,6 +37,8 @@ class Building(CityObject):
self._year_of_construction = year_of_construction self._year_of_construction = year_of_construction
self._function = function self._function = function
self._adjacency = adjacency self._adjacency = adjacency
self._lot_area = lot_area
self._build_area = build_area
self._average_storey_height = None self._average_storey_height = None
self._storeys_above_ground = None self._storeys_above_ground = None
self._floor_area = None self._floor_area = None
@ -56,6 +58,7 @@ class Building(CityObject):
self._cooling_consumption = {} self._cooling_consumption = {}
self._domestic_hot_water_consumption = {} self._domestic_hot_water_consumption = {}
self._distribution_systems_electrical_consumption = {} self._distribution_systems_electrical_consumption = {}
self._self_sufficiency = {}
self._onsite_electrical_production = {} self._onsite_electrical_production = {}
self._eave_height = None self._eave_height = None
self._energy_systems = None self._energy_systems = None
@ -279,6 +282,44 @@ class Building(CityObject):
else: else:
self._adjacency = None self._adjacency = None
@property
def lot_area(self):
"""
Get building lot area
:return: float
"""
return self._lot_area
@lot_area.setter
def lot_area(self, value):
"""
Set building lot area
:param value: float
"""
if value is not None:
self._lot_area = float(value)
else:
self._lot_area = None
@property
def build_area(self):
"""
Get building build area
:return: float
"""
return self._build_area
@build_area.setter
def build_area(self, value):
"""
Set building build area
:param value: float
"""
if value is not None:
self._build_area = float(value)
else:
self._build_area = None
@property @property
def average_storey_height(self) -> Union[None, float]: def average_storey_height(self) -> Union[None, float]:
""" """
@ -799,6 +840,14 @@ class Building(CityObject):
return self._distribution_systems_electrical_consumption return self._distribution_systems_electrical_consumption
@distribution_systems_electrical_consumption.setter
def distribution_systems_electrical_consumption(self, value):
"""
attribute to set the total electricity consumption in kWh
:param value: float
"""
self._distribution_systems_electrical_consumption = value
def _calculate_consumption(self, consumption_type, demand): def _calculate_consumption(self, consumption_type, demand):
# todo: modify when COP depends on the hour # todo: modify when COP depends on the hour
coefficient_of_performance = 0 coefficient_of_performance = 0
@ -972,3 +1021,18 @@ class Building(CityObject):
""" """
self._pv_generation = value self._pv_generation = value
@property
def self_sufficiency(self):
"""
temporary attribute to get the self-sufficiency in kWh
:return: dict
"""
return self._self_sufficiency
@self_sufficiency.setter
def self_sufficiency(self, value):
"""
temporary attribute to set the self-sufficiency in kWh
:param value: float
"""
self._self_sufficiency = value

774
hub/data/construction/palma_archetypes_modified.json
View File

@ -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
}
]
}

2
hub/exports/building_energy/idf.py
View File

@ -467,7 +467,7 @@ class Idf:
def _add_infiltration_surface(self, thermal_zone, zone_name): def _add_infiltration_surface(self, thermal_zone, zone_name):
schedule = f'INF_CONST schedules {thermal_zone.usage_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, self._idf.newidfobject(self._INFILTRATION,
Name=f'{zone_name}_infiltration', Name=f'{zone_name}_infiltration',
Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name, Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,

24
hub/imports/geometry/geojson.py
View File

@ -36,6 +36,8 @@ class Geojson:
function_field=None, function_field=None,
function_to_hub=None, function_to_hub=None,
adjacency_field=None, adjacency_field=None,
lot_area_field=None,
build_area_field=None,
hub_crs=None hub_crs=None
): ):
self._hub_crs = hub_crs self._hub_crs = hub_crs
@ -53,6 +55,8 @@ class Geojson:
self._year_of_construction_field = year_of_construction_field self._year_of_construction_field = year_of_construction_field
self._function_field = function_field self._function_field = function_field
self._adjacency_field = adjacency_field self._adjacency_field = adjacency_field
self._lot_area_field = lot_area_field
self._build_area_field = build_area_field
self._function_to_hub = function_to_hub self._function_to_hub = function_to_hub
with open(path, 'r', encoding='utf8') as json_file: with open(path, 'r', encoding='utf8') as json_file:
self._geojson = json.loads(json_file.read()) self._geojson = json.loads(json_file.read())
@ -129,6 +133,12 @@ class Geojson:
adjacency = None adjacency = None
if self._adjacency_field is not None: if self._adjacency_field is not None:
adjacency = str(feature['properties'][self._adjacency_field]) adjacency = str(feature['properties'][self._adjacency_field])
lot_area = None
if self._lot_area_field is not None:
lot_area = float(feature['properties'][self._lot_area_field])
build_area = None
if self._build_area_field is not None:
build_area = float(feature['properties'][self._build_area_field])
function = None function = None
if self._function_field is not None: if self._function_field is not None:
function = str(int(feature['properties'][self._function_field])) function = str(int(feature['properties'][self._function_field]))
@ -177,6 +187,8 @@ class Geojson:
function, function,
year_of_construction, year_of_construction,
adjacency, adjacency,
lot_area,
build_area,
extrusion_height)) extrusion_height))
elif str(geometry['type']).lower() == 'multipolygon': elif str(geometry['type']).lower() == 'multipolygon':
@ -186,6 +198,8 @@ class Geojson:
function, function,
year_of_construction, year_of_construction,
adjacency, adjacency,
lot_area,
build_area,
extrusion_height)) extrusion_height))
else: else:
raise NotImplementedError(f'Geojson geometry type [{geometry["type"]}] unknown') raise NotImplementedError(f'Geojson geometry type [{geometry["type"]}] unknown')
@ -210,7 +224,7 @@ class Geojson:
transformed_coordinates = f'{transformed_coordinates} {transformed[self._X]} {transformed[self._Y]} 0.0' transformed_coordinates = f'{transformed_coordinates} {transformed[self._X]} {transformed[self._Y]} 0.0'
return transformed_coordinates.lstrip(' ') return transformed_coordinates.lstrip(' ')
def _parse_polygon(self, coordinates, building_name, building_aliases, function, year_of_construction, adjacency, extrusion_height): def _parse_polygon(self, coordinates, building_name, building_aliases, function, year_of_construction, adjacency, lot_area, build_area, extrusion_height):
surfaces = [] surfaces = []
for polygon_coordinates in coordinates: for polygon_coordinates in coordinates:
points = igh.points_from_string( points = igh.points_from_string(
@ -243,7 +257,7 @@ class Geojson:
polygon = Polygon(coordinates) polygon = Polygon(coordinates)
polygon.area = igh.ground_area(coordinates) polygon.area = igh.ground_area(coordinates)
surfaces[-1] = Surface(polygon, polygon) surfaces[-1] = Surface(polygon, polygon)
building = Building(f'{building_name}', surfaces, year_of_construction, function, adjacency) building = Building(f'{building_name}', surfaces, year_of_construction, function, adjacency, lot_area, build_area)
for alias in building_aliases: for alias in building_aliases:
building.add_alias(alias) building.add_alias(alias)
if extrusion_height == 0: if extrusion_height == 0:
@ -284,7 +298,7 @@ class Geojson:
building.volume = volume building.volume = volume
return building return building
def _parse_multi_polygon(self, polygons_coordinates, building_name, building_aliases, function, year_of_construction, adjacency, extrusion_height): def _parse_multi_polygon(self, polygons_coordinates, building_name, building_aliases, function, year_of_construction, adjacency, lot_area, build_area, extrusion_height):
surfaces = [] surfaces = []
for coordinates in polygons_coordinates: for coordinates in polygons_coordinates:
for polygon_coordinates in coordinates: for polygon_coordinates in coordinates:
@ -317,7 +331,7 @@ class Geojson:
polygon = Polygon(coordinates) polygon = Polygon(coordinates)
polygon.area = igh.ground_area(coordinates) polygon.area = igh.ground_area(coordinates)
surfaces[-1] = Surface(polygon, polygon) surfaces[-1] = Surface(polygon, polygon)
building = Building(f'{building_name}', surfaces, year_of_construction, function, adjacency) building = Building(f'{building_name}', surfaces, year_of_construction, function, adjacency, lot_area, build_area)
for alias in building_aliases: for alias in building_aliases:
building.add_alias(alias) building.add_alias(alias)
if extrusion_height == 0: if extrusion_height == 0:
@ -352,7 +366,7 @@ class Geojson:
polygon = Polygon(wall_coordinates) polygon = Polygon(wall_coordinates)
wall = Surface(polygon, polygon) wall = Surface(polygon, polygon)
surfaces.append(wall) surfaces.append(wall)
building = Building(f'{building_name}', surfaces, year_of_construction, function, adjacency) building = Building(f'{building_name}', surfaces, year_of_construction, function, adjacency, lot_area, build_area)
for alias in building_aliases: for alias in building_aliases:
building.add_alias(alias) building.add_alias(alias)
building.volume = volume building.volume = volume

6
hub/imports/geometry_factory.py
View File

@ -29,12 +29,16 @@ class GeometryFactory:
function_field=None, function_field=None,
function_to_hub=None, function_to_hub=None,
adjacency_field=None, adjacency_field=None,
build_area_field=None,
lot_area_field=None,
hub_crs=None, hub_crs=None,
total_floor_area_field=None): total_floor_area_field=None):
self._file_type = '_' + file_type.lower() self._file_type = '_' + file_type.lower()
validate_import_export_type(GeometryFactory, file_type) validate_import_export_type(GeometryFactory, file_type)
self._path = path self._path = path
self._adjacency_field = adjacency_field self._adjacency_field = adjacency_field
self._build_area_field = build_area_field
self._lot_area_field = lot_area_field
self._aliases_field = aliases_field self._aliases_field = aliases_field
self._height_field = height_field self._height_field = height_field
self._centroid_x_field = centroid_x_field self._centroid_x_field = centroid_x_field
@ -79,6 +83,8 @@ class GeometryFactory:
self._function_field, self._function_field,
self._function_to_hub, self._function_to_hub,
self._adjacency_field, self._adjacency_field,
self._build_area_field,
self._lot_area_field,
self._hub_crs).city self._hub_crs).city
@property @property

7
hub/imports/results/archetype_based_demand.py
View File

@ -49,11 +49,11 @@ class ArchetypeBasedDemand:
if function in ['residential', 'multifamily house', 'single family house']: if function in ['residential', 'multifamily house', 'single family house']:
if height < 6 and adjacency == 'detached': if height < 6 and adjacency == 'detached':
usage = 'Single Family' usage = 'Single Family'
elif height < 6 and adjacency == 'attached': elif height < 6 and ((adjacency == 'attached') | (adjacency == 'semi-detached')):
usage = 'Row house' usage = 'Row house'
elif 6 <= height <= 10 and adjacency == 'detached': elif 6 <= height <= 10 and adjacency == 'detached':
usage = 'Duplex/triplex' usage = 'Duplex/triplex'
elif 6 <= height <= 10 and adjacency == 'attached': elif 6 <= height <= 10 and ((adjacency == 'attached') | (adjacency == 'semi-detached')):
usage = 'Small MURBs' usage = 'Small MURBs'
elif 10 < height <= 15: elif 10 < height <= 15:
usage = 'Medium MURBs' usage = 'Medium MURBs'
@ -65,7 +65,7 @@ class ArchetypeBasedDemand:
usage = 'Office' usage = 'Office'
elif function in ['commercial', 'retail shop without refrigerated food', 'retail shop with refrigerated food', elif function in ['commercial', 'retail shop without refrigerated food', 'retail shop with refrigerated food',
'stand alone retail', 'strip mall']: 'stand alone retail', 'strip mall']:
if adjacency == 'attached': if (adjacency == 'attached') | (adjacency == 'semi-detached'):
usage = 'Commercial attached' usage = 'Commercial attached'
else: else:
usage = 'Commercial detached' usage = 'Commercial detached'
@ -117,7 +117,6 @@ class ArchetypeBasedDemand:
def enrich(self): def enrich(self):
for building in self.city.buildings: for building in self.city.buildings:
archetype_key = self._get_archetype_key(building) archetype_key = self._get_archetype_key(building)
print(archetype_key)
if archetype_key and archetype_key in self.archetype_data: if archetype_key and archetype_key in self.archetype_data:
demand = self.archetype_data[archetype_key] demand = self.archetype_data[archetype_key]
area = building.thermal_zones_from_internal_zones[0].total_floor_area area = building.thermal_zones_from_internal_zones[0].total_floor_area

2
hub/version.py
View File

@ -1,4 +1,4 @@
""" """
Hub version number Hub version number
""" """
__version__ = '0.2.0.14' __version__ = '0.2.0.15'

68
main.py
View File

@ -4,23 +4,25 @@ from hub.helpers.dictionaries import Dictionaries
from hub.imports.construction_factory import ConstructionFactory from hub.imports.construction_factory import ConstructionFactory
from hub.imports.results_factory import ResultFactory from hub.imports.results_factory import ResultFactory
from hub.exports.exports_factory import ExportsFactory from hub.exports.exports_factory import ExportsFactory
import subprocess
from pathlib import Path
from hub.imports.weather_factory import WeatherFactory from hub.imports.weather_factory import WeatherFactory
from pv_assessment.electricity_demand_calculator import HourlyElectricityDemand from pv_assessment.electricity_demand_calculator import HourlyElectricityDemand
from pv_assessment.pv_system_assessment import PvSystemAssessment from pv_assessment.pv_system_assessment import PvSystemAssessment
from pv_assessment.solar_calculator import SolarCalculator from pv_assessment.solar_calculator import SolarCalculator
import random_assignation
import subprocess
from pathlib import Path
input_file = "data/cmm_test_corrected.geojson" input_file = "data/selected_buildings.geojson"
demand_file = "data/energy_demand_data.csv" demand_file = "data/energy_demand_data.csv"
# Define specific paths for outputs from SRA (Simplified Radiosity Algorith) and PV calculation processes # Define specific paths for outputs from SRA (Simplified Radiosity Algorith) and PV calculation processes
output_path = (Path(__file__).parent.parent / 'out_files').resolve() output_path = (Path(__file__).parent.parent / 'hub/out_files').resolve()
output_path.mkdir(parents=True, exist_ok=True) output_path.mkdir(parents=True, exist_ok=True)
sra_output_path = output_path / 'sra_outputs' sra_output_path = output_path / 'sra_outputs'
sra_output_path.mkdir(parents=True, exist_ok=True) sra_output_path.mkdir(parents=True, exist_ok=True)
pv_assessment_path = output_path / 'pv_outputs' pv_assessment_path = output_path / 'pv_outputs'
pv_assessment_path.mkdir(parents=True, exist_ok=True) pv_assessment_path.mkdir(parents=True, exist_ok=True)
city = GeometryFactory( city = GeometryFactory(
"geojson", "geojson",
input_file, input_file,
@ -28,10 +30,13 @@ city = GeometryFactory(
year_of_construction_field="contr_year", year_of_construction_field="contr_year",
function_field="function_c", function_field="function_c",
adjacency_field="adjacency", adjacency_field="adjacency",
lot_area_field='lot_area',
build_area_field='build_area',
function_to_hub=Dictionaries().montreal_function_to_hub_function).city function_to_hub=Dictionaries().montreal_function_to_hub_function).city
ConstructionFactory('nrcan', city).enrich() ConstructionFactory('nrcan', city).enrich()
WeatherFactory('epw', city).enrich() WeatherFactory('epw', city).enrich()
ResultFactory('archetypes', city, demand_file).enrich() ResultFactory('archetypes', city, demand_file).enrich()
# Export the city data in SRA-compatible format to facilitate solar radiation assessment # Export the city data in SRA-compatible format to facilitate solar radiation assessment
ExportsFactory('sra', city, sra_output_path).export() ExportsFactory('sra', city, sra_output_path).export()
# Run SRA simulation using an external command, passing the generated SRA XML file path as input # Run SRA simulation using an external command, passing the generated SRA XML file path as input
@ -39,7 +44,7 @@ sra_path = (sra_output_path / f'{city.name}_sra.xml').resolve()
subprocess.run(['sra', str(sra_path)]) subprocess.run(['sra', str(sra_path)])
# Enrich city data with SRA simulation results for subsequent analysis # Enrich city data with SRA simulation results for subsequent analysis
ResultFactory('sra', city, sra_output_path).enrich() ResultFactory('sra', city, sra_output_path).enrich()
# # Initialize solar calculation parameters (e.g., azimuth, altitude) and compute irradiance and solar angles # Initialize solar calculation parameters (e.g., azimuth, altitude) and compute irradiance and solar angles
tilt_angle = 37 tilt_angle = 37
solar_parameters = SolarCalculator(city=city, solar_parameters = SolarCalculator(city=city,
surface_azimuth_angle=180, surface_azimuth_angle=180,
@ -48,17 +53,13 @@ solar_parameters = SolarCalculator(city=city,
solar_angles = solar_parameters.solar_angles # Obtain solar angles for further analysis solar_angles = solar_parameters.solar_angles # Obtain solar angles for further analysis
solar_parameters.tilted_irradiance_calculator() # Calculate the solar radiation on a tilted surface solar_parameters.tilted_irradiance_calculator() # Calculate the solar radiation on a tilted surface
# Assignation of Energy System Archetypes to Buildings # Assignation of Energy System Archetypes to Buildings
#TODO this needs to be modified. We should either use the existing percentages or assign systems based on building random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
# functions
for building in city.buildings:
building.energy_systems_archetype_name = 'Grid Tied PV System'
EnergySystemsFactory('montreal_future', city).enrich() EnergySystemsFactory('montreal_future', city).enrich()
for building in city.buildings: for building in city.buildings:
electricity_demand = HourlyElectricityDemand(building).calculate()
PvSystemAssessment(building=building, PvSystemAssessment(building=building,
pv_system=None, pv_system=None,
battery=None, battery=None,
electricity_demand=electricity_demand, electricity_demand=None,
tilt_angle=tilt_angle, tilt_angle=tilt_angle,
solar_angles=solar_angles, solar_angles=solar_angles,
pv_installation_type='rooftop', pv_installation_type='rooftop',
@ -71,4 +72,47 @@ for building in city.buildings:
csv_output=False, csv_output=False,
output_path=pv_assessment_path).enrich() output_path=pv_assessment_path).enrich()
r = []
for building in city.buildings:
r.append((building.build_area - building.lot_area) / building.thermal_zones_from_internal_zones[0].total_floor_area)
print("done") print("done")
# PLOTTING #
import geopandas as gpd
import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
gdf = gpd.read_file(input_file)
self_sufficiency_values = [building.self_sufficiency['year'] / 1000 for building in city.buildings]
gdf['self_sufficiency'] = self_sufficiency_values
vmin = min(0, gdf['self_sufficiency'].min())
vmax = max(0, gdf['self_sufficiency'].max())
fig, ax = plt.subplots(1, 1, figsize=(14, 10))
cmap = plt.cm.viridis
norm = Normalize(vmin=vmin, vmax=vmax)
gdf.plot(column='self_sufficiency',
cmap=cmap,
linewidth=0.8,
edgecolor='grey',
legend=False,
ax=ax)
sm = plt.cm.ScalarMappable(cmap=cmap, norm=norm)
sm._A = []
cbar = fig.colorbar(sm, ax=ax, fraction=0.03, pad=0.04)
cbar.set_label('Self-Sufficiency (kWh/year)', fontsize=12)
ax.grid(color='lightgrey', linestyle='--', linewidth=0.5, alpha=0.7)
ax.set_title('Building Self-Sufficiency Levels', fontsize=16, fontweight='bold', pad=20)
ax.set_xlabel('Longitude', fontsize=12)
ax.set_ylabel('Latitude', fontsize=12)
plt.tight_layout()
plt.show()

8764
out_files/sra_outputs/Cote-Saint-Luc.cli Normal file
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2556
out_files/sra_outputs/Cote-Saint-Luc_sra.xml Normal file
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8761
out_files/sra_outputs/Cote-Saint-Luc_sra_SW.out Normal file
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102
pv_assessment/electricity_demand_calculator.py
View File

@ -5,59 +5,60 @@ class HourlyElectricityDemand:
def calculate(self): def calculate(self):
hourly_electricity_consumption = [] hourly_electricity_consumption = []
energy_systems = self.building.energy_systems # energy_systems = self.building.energy_systems
appliance = self.building.appliances_electrical_demand[cte.HOUR] if self.building.appliances_electrical_demand else 0 appliance = self.building.appliances_electrical_demand[cte.HOUR] if self.building.appliances_electrical_demand else 0
lighting = self.building.lighting_electrical_demand[cte.HOUR] if self.building.lighting_electrical_demand else 0 lighting = self.building.lighting_electrical_demand[cte.HOUR] if self.building.lighting_electrical_demand else 0
elec_heating = 0 # elec_heating = 1
elec_cooling = 0 # elec_cooling = 1
elec_dhw = 0 # elec_dhw = 1
if cte.HEATING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]: # if cte.HEATING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
elec_heating = 1 # elec_heating = 1
if cte.COOLING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]: # if cte.COOLING in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
elec_cooling = 1 # elec_cooling = 1
if cte.DOMESTIC_HOT_WATER in self.building.energy_consumption_breakdown[cte.ELECTRICITY]: # if cte.DOMESTIC_HOT_WATER in self.building.energy_consumption_breakdown[cte.ELECTRICITY]:
elec_dhw = 1 # elec_dhw = 1
heating = None # heating = None
cooling = None # cooling = None
dhw = None # dhw = None
if elec_heating == 1: # if elec_heating == 1:
for energy_system in energy_systems: # for energy_system in energy_systems:
if cte.HEATING in energy_system.demand_types: # if cte.HEATING in energy_system.demand_types:
for generation_system in energy_system.generation_systems: # for generation_system in energy_system.generation_systems:
if generation_system.fuel_type == cte.ELECTRICITY: # if generation_system.fuel_type == cte.ELECTRICITY:
if cte.HEATING in generation_system.energy_consumption: # if cte.HEATING in generation_system.energy_consumption:
heating = generation_system.energy_consumption[cte.HEATING][cte.HOUR] # heating = generation_system.energy_consumption[cte.HEATING][cte.HOUR]
else: # else:
if len(energy_system.generation_systems) > 1: # if len(energy_system.generation_systems) > 1:
heating = [x / 2 for x in self.building.heating_consumption[cte.HOUR]] # heating = [x / 2 for x in self.building.heating_consumption[cte.HOUR]]
else: # else:
heating = self.building.heating_consumption[cte.HOUR] # heating = self.building.heating_consumption[cte.HOUR]
heating = self.building.heating_demand[cte.HOUR] * 70
if elec_dhw == 1: # if elec_dhw == 1:
for energy_system in energy_systems: # for energy_system in energy_systems:
if cte.DOMESTIC_HOT_WATER in energy_system.demand_types: # if cte.DOMESTIC_HOT_WATER in energy_system.demand_types:
for generation_system in energy_system.generation_systems: # for generation_system in energy_system.generation_systems:
if generation_system.fuel_type == cte.ELECTRICITY: # if generation_system.fuel_type == cte.ELECTRICITY:
if cte.DOMESTIC_HOT_WATER in generation_system.energy_consumption: # if cte.DOMESTIC_HOT_WATER in generation_system.energy_consumption:
dhw = generation_system.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR] # dhw = generation_system.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR]
else: # else:
if len(energy_system.generation_systems) > 1: # if len(energy_system.generation_systems) > 1:
dhw = [x / 2 for x in self.building.domestic_hot_water_consumption[cte.HOUR]] # dhw = [x / 2 for x in self.building.domestic_hot_water_consumption[cte.HOUR]]
else: # else:
dhw = self.building.domestic_hot_water_consumption[cte.HOUR] # dhw = self.building.domestic_hot_water_consumption[cte.HOUR]
dhw = self.building.domestic_hot_water_heat_demand[cte.HOUR] * 70
if elec_cooling == 1: # if elec_cooling == 1:
for energy_system in energy_systems: # for energy_system in energy_systems:
if cte.COOLING in energy_system.demand_types: # if cte.COOLING in energy_system.demand_types:
for generation_system in energy_system.generation_systems: # for generation_system in energy_system.generation_systems:
if cte.COOLING in generation_system.energy_consumption: # if cte.COOLING in generation_system.energy_consumption:
cooling = generation_system.energy_consumption[cte.COOLING][cte.HOUR] # cooling = generation_system.energy_consumption[cte.COOLING][cte.HOUR]
else: # else:
if len(energy_system.generation_systems) > 1: # if len(energy_system.generation_systems) > 1:
cooling = [x / 2 for x in self.building.cooling_consumption[cte.HOUR]] # cooling = [x / 2 for x in self.building.cooling_consumption[cte.HOUR]]
else: # else:
cooling = self.building.cooling_consumption[cte.HOUR] # cooling = self.building.cooling_consumption[cte.HOUR]
cooling = self.building.cooling_demand[cte.HOUR]
for i in range(8760): for i in range(8760):
hourly = 0 hourly = 0
@ -72,4 +73,5 @@ class HourlyElectricityDemand:
if dhw is not None: if dhw is not None:
hourly += dhw[i] hourly += dhw[i]
hourly_electricity_consumption.append(hourly) hourly_electricity_consumption.append(hourly)
self.building.distribution_systems_electrical_consumption = hourly_electricity_consumption
return hourly_electricity_consumption return hourly_electricity_consumption

6
pv_assessment/pv_system_assessment.py
View File

@ -135,7 +135,7 @@ class PvSystemAssessment:
if self.electricity_demand is not None: if self.electricity_demand is not None:
electricity_demand = self.electricity_demand electricity_demand = self.electricity_demand
else: else:
electricity_demand = [demand / cte.WATTS_HOUR_TO_JULES for demand in electricity_demand = [demand*1000 for demand in
HourlyElectricityDemand(self.building).calculate()] HourlyElectricityDemand(self.building).calculate()]
rooftops_pv_output = [0] * len(electricity_demand) rooftops_pv_output = [0] * len(electricity_demand)
facades_pv_output = [0] * len(electricity_demand) facades_pv_output = [0] * len(electricity_demand)
@ -158,13 +158,15 @@ class PvSystemAssessment:
total_hourly_pv_output = [rooftops_pv_output[i] + facades_pv_output[i] for i in range(8760)] total_hourly_pv_output = [rooftops_pv_output[i] + facades_pv_output[i] for i in range(8760)]
imported_electricity = [0] * 8760 imported_electricity = [0] * 8760
exported_electricity = [0] * 8760 exported_electricity = [0] * 8760
self.building.self_sufficiency['hour'] = []
for i in range(len(electricity_demand)): for i in range(len(electricity_demand)):
transfer = total_hourly_pv_output[i] - electricity_demand[i] transfer = total_hourly_pv_output[i] - electricity_demand[i]
self.building.self_sufficiency['hour'].append(transfer)
if transfer > 0: if transfer > 0:
exported_electricity[i] = transfer exported_electricity[i] = transfer
else: else:
imported_electricity[i] = abs(transfer) imported_electricity[i] = abs(transfer)
self.building.self_sufficiency['year'] = sum(self.building.self_sufficiency['hour'])
results = {'building_name': self.building.name, results = {'building_name': self.building.name,
'total_floor_area_m2': self.building.thermal_zones_from_internal_zones[0].total_floor_area, 'total_floor_area_m2': self.building.thermal_zones_from_internal_zones[0].total_floor_area,
'roof_area_m2': self.building.roofs[0].perimeter_area, 'rooftop_panels': rooftop_number_of_panels, 'roof_area_m2': self.building.roofs[0].perimeter_area, 'rooftop_panels': rooftop_number_of_panels,

0
pv_assessment/self_sufficiency.py Normal file
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45
random_assignation.py
View File

@ -16,7 +16,7 @@ energy_systems_format = 'montreal_future'
# parameters: # parameters:
residential_systems_percentage = { residential_systems_percentage = {
'Central Hydronic Air and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 100, 'Central Hydronic Air and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0,
'Central Hydronic Air and Electricity Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0, 'Central Hydronic Air and Electricity Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0,
'Central Hydronic Ground and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0, 'Central Hydronic Ground and Gas Source Heating System with Unitary Split Cooling and Air Source HP DHW and Grid Tied PV': 0,
'Central Hydronic Ground and Electricity Source Heating System with Unitary Split Cooling and Air Source HP DHW ' 'Central Hydronic Ground and Electricity Source Heating System with Unitary Split Cooling and Air Source HP DHW '
@ -30,27 +30,27 @@ residential_systems_percentage = {
'Central Hydronic Ground and Electricity Source Heating System with Unitary Split and Air Source HP DHW': 0, 'Central Hydronic Ground and Electricity Source Heating System with Unitary Split and Air Source HP DHW': 0,
'Central Hydronic Water and Gas Source Heating System with Unitary Split and Air Source HP DHW': 0, 'Central Hydronic Water and Gas Source Heating System with Unitary Split and Air Source HP DHW': 0,
'Central Hydronic Water and Electricity Source Heating System with Unitary Split and Air Source HP DHW': 0, 'Central Hydronic Water and Electricity Source Heating System with Unitary Split and Air Source HP DHW': 0,
'Grid Tied PV System': 0, 'Grid Tied PV System': 10,
'system 1 gas': 0, 'system 1 gas': 0,
'system 1 gas grid tied pv': 0, 'system 1 gas grid tied pv': 5,
'system 1 electricity': 0, 'system 1 electricity': 0,
'system 1 electricity grid tied pv': 0, 'system 1 electricity grid tied pv': 10,
'system 2 gas': 0, 'system 2 gas': 0,
'system 2 gas grid tied pv': 0, 'system 2 gas grid tied pv': 10,
'system 2 electricity': 0, 'system 2 electricity': 0,
'system 2 electricity grid tied pv': 0, 'system 2 electricity grid tied pv': 10,
'system 3 and 4 gas': 0, 'system 3 and 4 gas': 0,
'system 3 and 4 gas grid tied pv': 0, 'system 3 and 4 gas grid tied pv': 10,
'system 3 and 4 electricity': 0, 'system 3 and 4 electricity': 0,
'system 3 and 4 electricity grid tied pv': 0, 'system 3 and 4 electricity grid tied pv': 5,
'system 6 gas': 0, 'system 6 gas': 0,
'system 6 gas grid tied pv': 0, 'system 6 gas grid tied pv': 10,
'system 6 electricity': 0, 'system 6 electricity': 0,
'system 6 electricity grid tied pv': 0, 'system 6 electricity grid tied pv': 10,
'system 8 gas': 0, 'system 8 gas': 0,
'system 8 gas grid tied pv': 0, 'system 8 gas grid tied pv': 10,
'system 8 electricity': 0, 'system 8 electricity': 0,
'system 8 electricity grid tied pv': 0, 'system 8 electricity grid tied pv': 10,
} }
non_residential_systems_percentage = {'system 1 gas': 0, non_residential_systems_percentage = {'system 1 gas': 0,
@ -102,8 +102,9 @@ def _retrieve_buildings(path, year_of_construction_field=None,
def call_random(_buildings: [Building], _systems_percentage): def call_random(_buildings: [Building], _systems_percentage):
_buildings_with_systems = [] _buildings_with_systems = []
_systems_distribution = [] _systems_distribution = []
_selected_buildings = list(range(0, len(_buildings))) _selected_buildings = list(range(len(_buildings)))
random.shuffle(_selected_buildings) random.shuffle(_selected_buildings)
total = 0 total = 0
maximum = 0 maximum = 0
add_to = 0 add_to = 0
@ -116,14 +117,24 @@ def call_random(_buildings: [Building], _systems_percentage):
maximum = number_of_buildings maximum = number_of_buildings
add_to = len(_systems_distribution) - 1 add_to = len(_systems_distribution) - 1
total += number_of_buildings total += number_of_buildings
missing = 0
if total != len(_selected_buildings):
missing = len(_selected_buildings) - total missing = len(_selected_buildings) - total
if missing != 0: if missing > 0:
_systems_distribution[add_to]['number_of_buildings'] += missing _systems_distribution[add_to]['number_of_buildings'] += missing
elif missing < 0:
for case in sorted(_systems_distribution, key=lambda x: -x['number_of_buildings']):
if case['number_of_buildings'] > 0:
reduce_by = min(-missing, case['number_of_buildings'])
case['number_of_buildings'] -= reduce_by
missing += reduce_by
if missing == 0:
break
total = sum(case['number_of_buildings'] for case in _systems_distribution)
assert total == len(_selected_buildings), f"Final total {total} does not match available {len(_selected_buildings)}"
_position = 0 _position = 0
for case in _systems_distribution: for case in _systems_distribution:
for i in range(0, case['number_of_buildings']): for _ in range(case['number_of_buildings']):
_buildings[_selected_buildings[_position]].energy_systems_archetype_name = case['system'] _buildings[_selected_buildings[_position]].energy_systems_archetype_name = case['system']
_position += 1 _position += 1
return _buildings return _buildings

19
select_features.py Normal file
View File

@ -0,0 +1,19 @@
import geopandas as gpd
from shapely.geometry import Polygon
points = [
(-73.65522099550455, 45.47216648812992),
(-73.65201191054271, 45.47096942503966),
(-73.65299060423152, 45.46955428052838),
(-73.65532718525228, 45.47041615556808),
(-73.65522099550455, 45.47216648812992)
]
bounding_polygon = Polygon(points)
geojson_path = './data/cerc_cmm_corrected.geojson'
gdf = gpd.read_file(geojson_path)
filtered_gdf = gdf[gdf.intersects(bounding_polygon)]
filtered_gdf.to_file("./data/selected_buildings.geojson", driver="GeoJSON")