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feat: code is prepared to store the roof radiation and its components in a csv file

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Saeed Ranjbar 2024-05-14 12:17:35 -04:00
parent 1e8d064080
commit b865708629
1 changed files with 16 additions and 28 deletions
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main.py
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@ -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')