feat: small test to check pv outputs is added

# 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

data/cmm_test.geojson

@@ -0,0 +1,7 @@
+{
+"type": "FeatureCollection",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
+"features": [
+{ "type": "Feature", "properties": { "cerc_id": 10000000, "provinc_id": "72015684390246800000000", "matricu_18": "684390246800000000", "feature_id": "905021fe-faed-40cb-a193-8b8b9863eb6e", "contr_year": "1986", "height": 9.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "attached", "lot_name": "1461297", "lot_area": 1247.7, "build_area": 145.3, "build_type": "1", "floor_num": 1, "unit_num": 2, "region": "layer_80", "g_objectid": 1169999.0, "g_co_mrc": "720", "g_code_mun": "72015", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.959074500485556, 45.526439602454957 ], [ -73.95906913536642, 45.52644040687705 ], [ -73.959067332931753, 45.526434277213156 ], [ -73.959072648380882, 45.526433504485176 ], [ -73.959074500485556, 45.526439602454957 ] ] ], [ [ [ -73.959284044103711, 45.526434113367664 ], [ -73.959285089854276, 45.526437239705743 ], [ -73.959323607759771, 45.526430905630932 ], [ -73.959339294217543, 45.526477977063195 ], [ -73.959365136004763, 45.526473721285491 ], [ -73.959384577774543, 45.526470522456577 ], [ -73.95939879848838, 45.526513191459713 ], [ -73.95918505777766, 45.526548375245248 ], [ -73.95915412932338, 45.526455490326235 ], [ -73.959284044103711, 45.526434113367664 ] ] ], [ [ [ -73.959318219290097, 45.526552949174281 ], [ -73.959334062104787, 45.526613722737721 ], [ -73.959216751906709, 45.5266288329885 ], [ -73.959200273841773, 45.52656565039198 ], [ -73.95922525487974, 45.526562432921921 ], [ -73.959220722410464, 45.526545052740744 ], [ -73.959294284368852, 45.526535583122445 ], [ -73.959299435528266, 45.526555364285208 ], [ -73.959318219290097, 45.526552949174281 ] ] ], [ [ [ -73.959361589683013, 45.526663537853317 ], [ -73.959418160975417, 45.526683936473432 ], [ -73.959367699213033, 45.526753086934306 ], [ -73.959311113787507, 45.526732688346264 ], [ -73.959361589683013, 45.526663537853317 ] ] ] ] } }
+]
+}

data/cmm_test_corrected.geojson

@@ -0,0 +1,7 @@
+{
+"type": "FeatureCollection",
+"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
+"features": [
+{ "type": "Feature", "properties": { "cerc_id": 10000000, "provinc_id": "72015684390246800000000", "matricu_18": "684390246800000000", "feature_id": "905021fe-faed-40cb-a193-8b8b9863eb6e", "contr_year": "1986", "height": 9.0, "function_c": 1000.0, "function_n": "Résidentiel", "adjacency": "attached", "lot_name": "1461297", "lot_area": 1247.7, "build_area": 145.3, "build_type": "1", "floor_num": 1, "unit_num": 2, "region": "layer_80", "g_objectid": 1169999.0, "g_co_mrc": "720", "g_code_mun": "72015", "g_nb_locau": 0.0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -73.959074500485556, 45.526439602454957 ], [ -73.959072648380882, 45.526433504485176 ], [ -73.959067332931753, 45.526434277213156 ], [ -73.95906913536642, 45.52644040687705 ], [ -73.959074500485556, 45.526439602454957 ] ] ], [ [ [ -73.959284044103711, 45.526434113367664 ], [ -73.95915412932338, 45.526455490326235 ], [ -73.95918505777766, 45.526548375245248 ], [ -73.95939879848838, 45.526513191459713 ], [ -73.959384577774543, 45.526470522456577 ], [ -73.959365136004763, 45.526473721285491 ], [ -73.959339294217543, 45.526477977063195 ], [ -73.959323607759771, 45.526430905630932 ], [ -73.959285089854276, 45.526437239705743 ], [ -73.959284044103711, 45.526434113367664 ] ] ], [ [ [ -73.959318219290097, 45.526552949174281 ], [ -73.959299435528266, 45.526555364285208 ], [ -73.959294284368852, 45.526535583122445 ], [ -73.959220722410464, 45.526545052740744 ], [ -73.95922525487974, 45.526562432921921 ], [ -73.959200273841773, 45.52656565039198 ], [ -73.959216751906709, 45.5266288329885 ], [ -73.959334062104787, 45.526613722737721 ], [ -73.959318219290097, 45.526552949174281 ] ] ], [ [ [ -73.959361589683013, 45.526663537853317 ], [ -73.959311113787507, 45.526732688346264 ], [ -73.959367699213033, 45.526753086934306 ], [ -73.959418160975417, 45.526683936473432 ], [ -73.959361589683013, 45.526663537853317 ] ] ] ] } }
+]
+}

main.py

@@ -11,6 +11,7 @@ from pv_assessment.solar_calculator import SolarCalculator
 import random_assignation
 import subprocess
 from pathlib import Path
+import hub.helpers.constants as cte
 
 input_file = "data/selected_buildings.geojson"
 demand_file = "data/energy_demand_data.csv"
@@ -71,7 +72,17 @@ for building in city.buildings:
                      facade_coverage_percentage=0,
                      csv_output=False,
                      output_path=pv_assessment_path).enrich()
-
+for building in city.buildings:
+  energy_systems = building.energy_systems
+  for energy_system in energy_systems:
+    generation_systems = energy_system.generation_systems
+    for generation_system in generation_systems:
+      if generation_system.system_type == cte.PHOTOVOLTAIC:
+        max_installed_capacity = generation_system.installed_capacity
+        print(f'The SRA output for building {building.name} is {building.roofs[0].global_irradiance[cte.YEAR][0] / 1000} kW/m2')
+        print(
+          f'The total tilted irradiance for building {building.name} is {building.roofs[0].global_irradiance_tilted[cte.YEAR][0] / 1000} kW/m2')
+        print(f'PV specific output of building {building.name} is {building.pv_generation[cte.YEAR][0] / max_installed_capacity} kW/kWp')
 r = []
 for building in city.buildings:
   r.append((building.build_area - building.lot_area) / building.thermal_zones_from_internal_zones[0].total_floor_area)