diff --git a/main.py b/main.py
index d29d7ddf..8172ce3c 100644
--- a/main.py
+++ b/main.py
@@ -1,22 +1,16 @@
+import csv
+
 from scripts.geojson_creator import process_geojson
 from pathlib import Path
 import subprocess
-from scripts.ep_run_enrich import energy_plus_workflow
 from hub.imports.geometry_factory import GeometryFactory
 from hub.helpers.dictionaries import Dictionaries
 from hub.imports.construction_factory import ConstructionFactory
 from hub.imports.usage_factory import UsageFactory
 from hub.imports.weather_factory import WeatherFactory
 from hub.imports.results_factory import ResultFactory
-from scripts.energy_system_analysis_report import EnergySystemAnalysisReport
-from scripts import random_assignation
-from hub.imports.energy_systems_factory import EnergySystemsFactory
-from scripts.energy_system_sizing import SystemSizing
-from scripts.energy_system_retrofit_results import system_results, new_system_results
-from scripts.energy_system_sizing_and_simulation_factory import EnergySystemsSimulationFactory
-from scripts.costs.cost import Cost
-from scripts.costs.constants import SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
 from hub.exports.exports_factory import ExportsFactory
+import hub.helpers.constants as cte
 # Specify the GeoJSON file path
 geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.0001)
 file_path = (Path(__file__).parent.parent / 'input_files' / f'{geojson_file}')
@@ -33,30 +27,24 @@ city = GeometryFactory('geojson',
 ConstructionFactory('nrcan', city).enrich()
 
 UsageFactory('nrcan', city).enrich()
-WeatherFactory('epw', city).enrich()
+# WeatherFactory('epw', city).enrich()
 ExportsFactory('sra', city, output_path).export()
 sra_path = (output_path / f'{city.name}_sra.xml').resolve()
 subprocess.run(['sra', str(sra_path)])
 ResultFactory('sra', city, output_path).enrich()
-energy_plus_workflow(city)
-ExportsFactory('obj', city, output_path).export()
-random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
-EnergySystemsFactory('montreal_custom', city).enrich()
-SystemSizing(city.buildings).montreal_custom()
-current_system = new_system_results(city.buildings)
-random_assignation.call_random(city.buildings, random_assignation.residential_new_systems_percentage)
-EnergySystemsFactory('montreal_future', city).enrich()
 for building in city.buildings:
-  EnergySystemsSimulationFactory('archetype1', building=building, output_path=output_path).enrich()
-new_system = system_results(city.buildings)
-EnergySystemAnalysisReport(city, output_path).create_report(current_system, new_system)
-for building in city.buildings:
-  costs = Cost(building=building, retrofit_scenario=SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV).life_cycle
-  costs.to_csv(output_path / f'{building.name}_lcc.csv')
-  (costs.loc['global_operational_costs', f'Scenario {SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV}'].
-   to_csv(output_path / f'{building.name}_op.csv'))
-  costs.loc['global_capital_costs', f'Scenario {SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV}'].to_csv(
-    output_path / f'{building.name}_cc.csv')
+  beam = [x / 3600 for x in building.beam[cte.HOUR]]
+  diffuse = [x / 3600 for x in building.diffuse[cte.HOUR]]
+  roof = building.roofs[0].global_irradiance[cte.HOUR]
+  data = list(zip(beam, diffuse, roof))
+  file_name = f'solar_radiation_{building.name}.csv'
+  with open(output_path / file_name, 'w', newline='') as csvfile:
+    output_file = csv.writer(csvfile)
+    # Write header
+    output_file.writerow(['beam_component', 'diffuse_component', 'roof_global_irradiance'])
+    # Write data
+    output_file.writerows(data)
+print('test')