CityBEM workflow operational
This commit is contained in:
saeed-rayegan
parent
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="jdk" jdkName="hub" jdkType="Python SDK" />
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<orderEntry type="jdk" jdkName="C:\Users\sr283\miniconda3\envs\Hub" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</module>
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@ -1,4 +1,7 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="hub" project-jdk-type="Python SDK" />
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<component name="Black">
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<option name="sdkName" value="C:\Users\sr283\miniconda3\envs\Hub" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="C:\Users\sr283\miniconda3\envs\Hub" project-jdk-type="Python SDK" />
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</project>
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@ -1,16 +1,106 @@
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"""
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export a city into Stl format
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export a city into STL format. (Each building is a solid, suitable for RC models such as CityBEM)
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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Copyright © 2024 Concordia CERC group
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Project Coder Saeed Rayegan sr283100@gmail.com
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"""
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from pathlib import Path
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import numpy as np
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from scipy.spatial import Delaunay
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from hub.exports.formats.triangular import Triangular
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class Stl(Triangular):
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class Stl:
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"""
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Export to STL
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Export to stl format
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"""
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def __init__(self, city, path):
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super().__init__(city, path, 'stl', write_mode='wb')
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self._city = city
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self._path = path
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self._export()
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def _triangulate_stl(self, points_2d, height):
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#This function requires a set of 2D points for triangulation
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# Assuming vertices is a NumPy array
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tri = Delaunay(points_2d)
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triangles2D = points_2d[tri.simplices]
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triangles3D = []
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# Iterate through each triangle in triangles2D
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for triangle in triangles2D:
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# Extract the existing x and y coordinates
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x1, y1 = triangle[0]
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x2, y2 = triangle[1]
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x3, y3 = triangle[2]
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# Create a 3D point with the specified height
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point3D=[[x1, height, y1],[x2, height, y2],[x3, height, y3]]
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# Append the 3D points to the triangle list
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triangles3D.append(point3D)
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return triangles3D
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def _ground(self, coordinate):
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x = coordinate[0] - self._city.lower_corner[0]
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y = coordinate[1] - self._city.lower_corner[1]
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z = coordinate[2] - self._city.lower_corner[2]
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return x, y, z
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def _to_vertex_stl(self, coordinate):
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x, y, z = self._ground(coordinate)
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return [x, z, -y] # Return as a list # to match opengl expectations (check it later)
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def _to_normal_vertex_stl(self, coordinates):
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ground_vertex = []
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for coordinate in coordinates:
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x, y, z = self._ground(coordinate)
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ground_vertex.append(np.array([x, y, z]))
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# recalculate the normal to get grounded values
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edge_1 = ground_vertex[1] - ground_vertex[0]
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edge_2 = ground_vertex[2] - ground_vertex[0]
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normal = np.cross(edge_1, edge_2)
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normal = normal / np.linalg.norm(normal)
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# Convert normal to list for easier handling in the write operation
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return normal.tolist()
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def _export(self):
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if self._city.name is None:
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self._city.name = 'unknown_city'
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stl_name = f'{self._city.name}.stl'
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stl_file_path = (Path(self._path).resolve() / stl_name).resolve()
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with open(stl_file_path, 'w', encoding='utf-8') as stl:
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for building in self._city.buildings:
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stl.write(f"solid building{building.name}\n")
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for surface in building.surfaces:
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vertices = []
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normal = self._to_normal_vertex_stl(surface.perimeter_polygon.coordinates) #the normal vector should be calculated for every surface
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for coordinate in surface.perimeter_polygon.coordinates:
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vertex = self._to_vertex_stl(coordinate)
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if vertex not in vertices:
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vertices.append(vertex)
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vertices = np.array(vertices)
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#After collecting the unique vertices of a surface, there is a need to identify if it is located on the roof, floor, or side walls
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roofStatus=1 #multiplication of the height of all vertices in a surface
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heightSum=0 #summation of the height of all vertices in a surface
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for vertex in vertices:
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roofStatus *= vertex[1]
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heightSum += vertex[1]
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if roofStatus>0:
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#this surface is the roof (first and third elements of vertices should be passed to the triangulation function)
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triangles=self._triangulate_stl(vertices[:, [0, 2]], vertices[0][1])
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elif roofStatus==0 and heightSum==0:
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# this surface is the floor
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triangles=self._triangulate_stl(vertices[:, [0, 2]], vertices[0][1])
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elif roofStatus==0 and heightSum>0:
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# this surface is a vertical wall (no need for triangulation as it can be done manually)
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triangles = [[vertices[0],vertices[1],vertices[2]], [vertices[2], vertices[3], vertices[0]]]
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# write the facets (triangles) in the stl file
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for triangle in triangles:
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stl.write(f"facet normal {normal[0]} {normal[2]} {normal[1]}\n") #following the idea that y axis is the height
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stl.write(" outer loop\n")
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for vertex in triangle:
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stl.write(f" vertex {vertex[0]} {vertex[1]} {vertex[2]}\n")
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stl.write(" endloop\n")
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stl.write("endfacet\n")
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stl.write(f"endsolid building{building.name}\n")
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37
main.py
37
main.py
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@ -1,6 +1,35 @@
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from scripts.geojson_creator import process_geojson
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from pathlib import Path
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from scripts.ep_run_enrich import energy_plus_workflow
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from scripts.CityBEM_run import CityBEM_workflow
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from hub.imports.geometry_factory import GeometryFactory
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from hub.helpers.dictionaries import Dictionaries
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from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.imports.results_factory import ResultFactory
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from hub.exports.exports_factory import ExportsFactory
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import csv
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# Specify the GeoJSON file path
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geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.001)
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file_path = (Path(__file__).parent / 'input_files' / 'output_buildings.geojson')
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# Specify the output path for the PDF file
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output_path = (Path(__file__).parent / 'out_files').resolve()
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# Create city object from GeoJSON file
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='height',
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year_of_construction_field='year_of_construction',
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function_field='function',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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# Enrich city data
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ConstructionFactory('nrcan', city).enrich()
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UsageFactory('nrcan', city).enrich()
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ExportsFactory('obj', city, output_path).export()
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ExportsFactory('stl', city, output_path).export()
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WeatherFactory('epw', city).enrich()
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CityBEM_workflow(city)
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#energy_plus_workflow(city)
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print('The CityBEM test workflow is done')
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170
scripts/CityBEM_run.py
Normal file
170
scripts/CityBEM_run.py
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import pandas as pd
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import sys
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import csv
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from pathlib import Path
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import subprocess
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from hub.helpers.dictionaries import Dictionaries
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from hub.exports.exports_factory import ExportsFactory
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from hub.imports.weather.epw_weather_parameters import EpwWeatherParameters
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sys.path.append('./')
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def CityBEM_workflow(city):
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"""
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Main function to run the CityBEM under the CityLayer's hub.
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:Note: City object contains necessary attributes for the CityBEM workflow.
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"""
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#general output path for the CityLayer's hub
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out_path = Path(__file__).parent.parent / 'out_files'
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#create a directory for running CityBEM under the main out_path
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CityBEM_path = out_path / 'CityBEM_input_output'
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if not CityBEM_path.exists():
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CityBEM_path.mkdir(parents=True, exist_ok=True)
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#call functions to provide inputs for CityBEM and finally run CityBEM
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export_geometry(city, CityBEM_path)
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export_building_info(city, CityBEM_path)
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export_weather_data(city, CityBEM_path)
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export_comprehensive_building_data(city, CityBEM_path)
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run_CityBEM(CityBEM_path)
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def export_geometry(city, CityBEM_path):
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"""
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Export the STL geometry from the hub and rename the exported geometry to a proper name for CityBEM.
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:param city: City object containing necessary attributes for the workflow.
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:param CityBEM_path: Path where CityBEM input and output files are stored.
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"""
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ExportsFactory('stl', city, CityBEM_path).export()
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hubGeometryName = city.name + '.stl'
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#delete old files related to geometry if they exist
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CityBEMGeometryPath1 = CityBEM_path / 'Input_City_scale_geometry_CityBEM.stl'
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CityBEMGeometryPath2 = CityBEM_path / 'Input_City_scale_geometry_CityBEM.txt' #delete this file to ensure CityBEM generates a new one based on the new input geometry
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if CityBEMGeometryPath1.exists():
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CityBEMGeometryPath1.unlink()
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if CityBEMGeometryPath2.exists():
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CityBEMGeometryPath2.unlink()
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(CityBEM_path / hubGeometryName).rename(CityBEM_path / CityBEMGeometryPath1)
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print("CityBEM input geometry file named Input_City_scale_geometry_CityBEM.stl file has been created successfully")
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def export_building_info(city, CityBEM_path):
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"""
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Generate the input building information file for CityBEM.
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:param city: City object containing necessary attributes for the workflow.
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:param CityBEM_path: Path where CityBEM input and output files are stored.
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"""
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buildingInfo_path = CityBEM_path / 'Input_City_scale_building_info.txt'
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montreal_to_hub_function_dict = Dictionaries().montreal_function_to_hub_function
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reverse_dict = {v: k for k, v in montreal_to_hub_function_dict.items()} #inverting the montreal_function_to_hub_function (this is not a good approach)
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with open(buildingInfo_path, "w", newline="") as textfile: #here, "w" refers to write mode. This deletes if the file exists.
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writer = csv.writer(textfile, delimiter="\t") #use tab delimiter for all CityBEM inputs
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writer.writerow(["building_stl", "building_osm", "constructionYear", "codeUsageType", "centerLongitude", "centerLatitude"]) # Header
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for building in city.buildings:
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row = ["b" + building.name, "99999", str(building.year_of_construction), str(reverse_dict.get(building.function)), "-73.5688", "45.5018"]
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writer.writerow(row)
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print("CityBEM input file named Input_City_scale_building_info.txt file has been created successfully")
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def export_weather_data(city, CityBEM_path):
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"""
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Generate the input weather data file compatible to CityBEM.
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:param city: City object containing necessary attributes for the workflow.
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:param CityBEM_path: Path where CityBEM input and output files are stored.
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"""
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weatherParameters = EpwWeatherParameters(city)._weather_values
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weatherParameters = pd.DataFrame(weatherParameters) #transfer the weather data to a DataFrame
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with open(CityBEM_path / 'Input_weatherdata.txt', 'w') as textfile:
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# write the header information
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textfile.write('Weather_timestep(s)\t3600\n')
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textfile.write('Weather_columns\t11\n') #so far, 11 columns can be extracted from the epw weather data.
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textfile.write('Date\tTime\tGHI\tDNI\tDHI\tTa\tTD\tTG\tRH\tWS\tWD\n')
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for _, row in weatherParameters.iterrows():
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#form the Date and Time
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Date = f"{int(row['year'])}-{int(row['month']):02d}-{int(row['day']):02d}"
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Time = f"{int(row['hour']):02d}:{int(row['minute']):02d}"
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#retrieve the weather data
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GHI = row['global_horizontal_radiation_wh_m2']
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DNI = row['direct_normal_radiation_wh_m2']
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DHI = row['diffuse_horizontal_radiation_wh_m2']
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Ta = row['dry_bulb_temperature_c']
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TD = row['dew_point_temperature_c']
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TG = row['dry_bulb_temperature_c']
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RH = row['relative_humidity_perc']
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WS = row['wind_speed_m_s']
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WD = row['wind_direction_deg']
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#write the data in tab-separated format into the text file
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textfile.write(f"{Date}\t{Time}\t{GHI}\t{DNI}\t{DHI}\t{Ta}\t{TD}\t{TG}\t{RH}\t{WS}\t{WD}\n")
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print("CityBEM input file named Input_weatherdata.txt file has been created successfully")
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def export_comprehensive_building_data(city, CityBEM_path):
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"""
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Export all other information from buildings (both physical and thermal properties)
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:param city: City object containing necessary attributes for the workflow.
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:param CityBEM_path: Path where CityBEM input and output files are stored.
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"""
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with open(CityBEM_path / 'comprehensive_building_data.csv', 'w', newline='') as textfile:
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writer = csv.writer(textfile, delimiter=',')
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header_row=["buildingName",
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"constructionYear",
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"function",
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"roofType",
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"maxHeight",
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"storyHeight",
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"storiesAboveGround",
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"floorArea",
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"volume",
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"wallThickness",
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"wallExternalH",
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"wallInternalH",
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"wallUValue"
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]
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writer.writerow(header_row) #write the header row
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#write comprehensive building data from the CityLayer's hub
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for building in city.buildings:
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wallCount=0
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for wall in building.walls:
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if wallCount==0:
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for thermalBoundary in wall.associated_thermal_boundaries:
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wallThickness = thermalBoundary.thickness
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wallExternalH=thermalBoundary.he
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wallInternalH=thermalBoundary.hi
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wallUValue=thermalBoundary.u_value
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row = [
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"b" + building.name,
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building.year_of_construction,
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building.function,
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building.roof_type,
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building.max_height,
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building._storeys_above_ground,
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building.average_storey_height,
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building.floor_area,
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building.volume,
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wallThickness,
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wallExternalH,
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wallInternalH,
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wallUValue
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]
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writer.writerow(row)
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wallCount=wallCount+1
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def run_CityBEM(CityBEM_path):
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"""
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Run the CityBEM executable after all inputs are processed.
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:param CityBEM_path: Path where CityBEM input and output files are stored.
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"""
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try:
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print('CityBEM execution began:')
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CityBEM_exe = CityBEM_path / 'CityBEM.exe' #path to the CityBEM executable
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#check if the executable file exists
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if not CityBEM_exe.exists():
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print(f"Error: {CityBEM_exe} does not exist.")
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subprocess.run(str(CityBEM_exe), check=True, cwd=str(CityBEM_path)) #execute the CityBEM executable
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print("CityBEM executable has finished successfully.")
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except Exception as ex:
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print(ex)
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print('error: ', ex)
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print('[CityBEM simulation abort]')
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sys.stdout.flush() #print all the running information on the screen
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