20240801 added SRA to main

main.py

@@ -9,13 +9,37 @@ from hub.imports.weather_factory import WeatherFactory
 import hub.helpers.constants as cte
 from hub.imports.energy_systems_factory import EnergySystemsFactory
 from hub.helpers.peak_loads import PeakLoads
+from pathlib import Path
+import subprocess
+from hub.imports.results_factory import ResultFactory
+from hub.imports.energy_systems_factory import EnergySystemsFactory
+from scripts.energy_system_sizing_and_simulation_factory import EnergySystemsSimulationFactory
+import hub.helpers.constants as cte
+from hub.exports.exports_factory import ExportsFactory
+from scripts.solar_angles import CitySolarAngles
+from scripts.radiation_tilted import RadiationTilted
 
 import geopandas as gpd
 import json
+#%% # -----------------------------------------------
 # Specify the GeoJSON file path
+#%% # -----------------------------------------------
 input_files_path = (Path(__file__).parent / 'input_files')
 output_path = (Path(__file__).parent / 'out_files').resolve()
 output_path.mkdir(parents=True, exist_ok=True)
+energy_plus_output_path = output_path / 'energy_plus_outputs'
+energy_plus_output_path.mkdir(parents=True, exist_ok=True)
+simulation_results_path = (Path(__file__).parent / 'out_files' / 'simulation_results').resolve()
+simulation_results_path.mkdir(parents=True, exist_ok=True)
+sra_output_path = output_path / 'sra_outputs'
+sra_output_path.mkdir(parents=True, exist_ok=True)
+cost_analysis_output_path = output_path / 'cost_analysis'
+cost_analysis_output_path.mkdir(parents=True, exist_ok=True)
+
+#%%-----------------------------------------------
+#"""add geojson paths and create city for Baseline"""
+#%% # -----------------------------------------------
+
 geojson_file_path_baseline = output_path / 'updated_buildings_with_all_data_baseline.geojson'
 geojson_file_path_2024 = output_path / 'updated_buildings_with_all_data.geojson'
 with open(geojson_file_path_baseline , 'r') as f:
@@ -30,15 +54,50 @@ city = GeometryFactory('geojson',
                        year_of_construction_field='year_built',
                        function_field='building_type',
                        function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+#%%-----------------------------------------------
 # Enrich city data
+#%% # -----------------------------------------------
 ConstructionFactory('nrcan', city).enrich()
 UsageFactory('nrcan', city).enrich()
 WeatherFactory('epw', city).enrich()
-
 # #energy plus is not going to be processed here, as demand has been obtained before
 # energy_plus_workflow(city)
+#%%-----------------------------------------------
+# """SRA"""
+#%% # -----------------------------------------------
+ExportsFactory('sra', city, sra_output_path).export()
+sra_path = (sra_output_path / f'{city.name}_sra.xml').resolve()
+subprocess.run(['sra', str(sra_path)])
+ResultFactory('sra', city, sra_output_path).enrich()
+solar_angles = CitySolarAngles(city.name,
+                               city.latitude,
+                               city.longitude,
+                               tilt_angle=45,
+                               surface_azimuth_angle=180).calculate
+for building in city.buildings:
+  ghi = [x / cte.WATTS_HOUR_TO_JULES for x in building.roofs[0].global_irradiance[cte.HOUR]]
+  RadiationTilted(building,
+                  solar_angles,
+                  tilt_angle=45,
+                  ghi=ghi).enrich()
+# building_names = []
+# for building in city.buildings:
+#   building_names.append(building.name)
+#
+# df = pd.DataFrame(columns=building_names)
+# df1 = pd.DataFrame(columns=building_names)
+# print('test')
+# for building in city.buildings:
+#   # if building.name in selected_buildings_list:
+#   df[f'{building.name}'] = building.roofs[0].global_irradiance[cte.HOUR]
+#   df1[f'{building.name}'] = building.roofs[0].global_irradiance_tilted[cte.HOUR]
+#
+# df.to_csv('solar_radiation_horizontal_selected_buildings.csv')
+# df1.to_csv('solar_radiation_tilted_selected_buildings.csv')
 
-#SRA algorithm
+#%% # -----------------------------------------------
+#"""Enrich city with geojson file data"""
+#%% # -----------------------------------------------
 percentage_data = {
     1646: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 2672.550473, "total_floor_area": 26725.50473},
     1647: {"type1_%": 1, "type2_%": 0, "type3_%": 0, "roof_area": 2653.626087, "total_floor_area": 26536.26087},
@@ -104,6 +163,11 @@ def enrich_buildings_with_geojson_data (building_type_data, city):
 
 enrich_buildings_with_geojson_data (building_type_data, city)
 print('test')
+
+#%%-----------------------------------------------
+# """ADD energy systems"""
+#%% # -----------------------------------------------
+
 for building in city.buildings:
   building.energy_systems_archetype_name = 'system 1 electricity pv'
 
@@ -146,3 +210,9 @@ for building in city.buildings:
 #     total_floor_area += thermal_zone.total_floor_area
 #   print(building.heating_demand[cte.YEAR][0] / (3.6e6 * total_floor_area))
 
+
+# for building in city.buildings:
+#   building.energy_systems_archetype_name = 'PV+4Pipe+DHW'
+# EnergySystemsFactory('montreal_future', city).enrich()
+# for building in city.buildings:
+#   EnergySystemsSimulationFactory('archetype13', building=building, output_path=simulation_results_path).enrich()