s_ranjbar
efac4c3948
The classes and scripts of costs library are copied in scripts folder fix: updating the energy system catalogue parameter importer fix: units are fixed in the sizing and simulation modules fix: adding costing workflow feat: new function created to store current and new system analysis results fix: updating the code to implement all the changes feat: new attributes added to energy system catalogue fix: samll bug in calculating capital cost of TES is solved feat: a new method for calculating peak dhw demand is created in building class fix: small bug in generation system class of CDM is fixed fix: small issues in current system simulation and sizing modules are resolved feat: new class called EnergySystemsSimulationFactory is created to handle all the system simulation models fix: the operational cost class is modified and completed fix: slight changes before merge
59 lines
3.0 KiB
Python
59 lines
3.0 KiB
Python
from scripts.geojson_creator import process_geojson
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from pathlib import Path
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import subprocess
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from scripts.ep_run_enrich import energy_plus_workflow
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from hub.imports.geometry_factory import GeometryFactory
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from hub.helpers.dictionaries import Dictionaries
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from hub.imports.construction_factory import ConstructionFactory
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from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from hub.imports.results_factory import ResultFactory
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from hub.exports.exports_factory import ExportsFactory
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from scripts.energy_system_analysis_report import EnergySystemAnalysisReport
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from scripts import random_assignation
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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from scripts.energy_system_sizing import SystemSizing
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from scripts.system_simulation import SystemSimulation
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from scripts.costs.cost import Cost
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from costs.constants import CURRENT_STATUS, SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV
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from scripts.energy_system_retrofit_results import system_results, new_system_results
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# Specify the GeoJSON file path
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geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.0001)
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file_path = (Path(__file__).parent.parent / 'input_files' / f'{geojson_file}')
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# Specify the output path for the PDF file
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output_path = (Path(__file__).parent / 'out_files').resolve()
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# Create city object from GeoJSON file
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='height',
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year_of_construction_field='year_of_construction',
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function_field='function',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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# Enrich city data
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ConstructionFactory('nrcan', city).enrich()
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UsageFactory('nrcan', city).enrich()
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WeatherFactory('epw', city).enrich()
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ExportsFactory('sra', city, output_path).export()
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sra_path = (output_path / f'{city.name}_sra.xml').resolve()
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subprocess.run(['sra', str(sra_path)])
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ResultFactory('sra', city, output_path).enrich()
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energy_plus_workflow(city)
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random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
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EnergySystemsFactory('montreal_custom', city).enrich()
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SystemSizing(city.buildings).montreal_custom()
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current_system = system_results(city.buildings)
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new_system = system_results(city.buildings)
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EnergySystemAnalysisReport(city, output_path).create_report(current_system, new_system)
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for building in city.buildings:
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costs = Cost(building, retrofit_scenario=SYSTEM_RETROFIT_AND_PV).life_cycle
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Cost(building, retrofit_scenario=SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV).life_cycle.to_csv(output_path / f'{building.name}_lcc.csv')
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costs.loc['global_capital_costs', f'Scenario {SYSTEM_RETROFIT_AND_PV}'].to_csv(output_path / f'{building.name}_global_capital.csv')
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costs.loc['global_operational_costs', f'Scenario {SYSTEM_RETROFIT_AND_PV}'].to_csv(
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output_path / f'{building.name}_global_operational.csv')
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