from pathlib import Path import subprocess from building_modelling.ep_run_enrich import energy_plus_workflow from energy_system_modelling_package.energy_system_modelling_factories.montreal_energy_system_archetype_modelling_factory import \ MontrealEnergySystemArchetypesSimulationFactory from energy_system_modelling_package.energy_system_modelling_factories.system_sizing_methods.genetic_algorithm.multi_objective_genetic_algorithm import MultiObjectiveGeneticAlgorithm 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 import hub.helpers.constants as cte from building_modelling.geojson_creator import process_geojson from energy_system_modelling_package import random_assignation from hub.imports.energy_systems_factory import EnergySystemsFactory from energy_system_modelling_package.energy_system_modelling_factories.energy_system_sizing_factory import \ EnergySystemsSizingFactory from energy_system_modelling_package.energy_system_retrofit.energy_system_retrofit_results import consumption_data, \ cost_data from costing_package.cost import Cost from costing_package.constants import * from hub.exports.exports_factory import ExportsFactory # Specify the GeoJSON file path input_files_path = (Path(__file__).parent / 'input_files') input_files_path.mkdir(parents=True, exist_ok=True) geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.00006) geojson_file_path = input_files_path / 'output_buildings.geojson' 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) city = GeometryFactory(file_type='geojson', path=geojson_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 ConstructionFactory('nrcan', city).enrich() UsageFactory('nrcan', city).enrich() WeatherFactory('epw', city).enrich() 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() energy_plus_workflow(city, energy_plus_output_path) random_assignation.call_random(city.buildings, random_assignation.residential_new_systems_percentage) EnergySystemsFactory('montreal_future', city).enrich() for building in city.buildings: energy_system = building.energy_systems[1] solutions = MultiObjectiveGeneticAlgorithm(optimization_scenario='energy-consumption_cost').solve_ga(building, energy_system)