energy_system_modelling_workflow/main.py

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 hub.exports.exports_factory import ExportsFactory
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.system_simulation import SystemSimulation
from scripts.costs.cost import Cost
from costs.constants import CURRENT_STATUS, SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV
from scripts.energy_system_retrofit_results import system_results, new_system_results

# 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}')
# Specify the output path for the PDF file
output_path = (Path(__file__).parent / 'out_files').resolve()
# Create city object from GeoJSON file
city = GeometryFactory('geojson',
                       path=file_path,
                       height_field='height',
                       year_of_construction_field='year_of_construction',
                       function_field='function',
                       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()
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)
random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
EnergySystemsFactory('montreal_custom', city).enrich()
SystemSizing(city.buildings).montreal_custom()
current_system = system_results(city.buildings)
new_system = system_results(city.buildings)
EnergySystemAnalysisReport(city, output_path).create_report(current_system, new_system)

for building in city.buildings:
  costs = Cost(building, retrofit_scenario=SYSTEM_RETROFIT_AND_PV).life_cycle
  Cost(building, retrofit_scenario=SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV).life_cycle.to_csv(output_path / f'{building.name}_lcc.csv')
  costs.loc['global_capital_costs', f'Scenario {SYSTEM_RETROFIT_AND_PV}'].to_csv(output_path / f'{building.name}_global_capital.csv')
  costs.loc['global_operational_costs', f'Scenario {SYSTEM_RETROFIT_AND_PV}'].to_csv(
    output_path / f'{building.name}_global_operational.csv')