cleaned code. not found bug. not working
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@ -37,7 +37,6 @@ RETROFITTING_SCENARIOS = [
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SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
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]
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EMISSION_FACTOR_GAS_QUEBEC = 0.25
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EMISSION_FACTOR_ELECTRICITY_QUEBEC = 0.0015 #https://www.cer-rec.gc.ca/en/data-analysis/energy-markets/provincial-territorial-energy-profiles/provincial-territorial-energy-profiles-quebec.html#:~:text=GHG%20Emissions,-Quebec's%20GHG%20emissions&text=The%20largest%20emitting%20sectors%20in,2.3%20MT%20CO2e.
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EMISSION_FACTOR_GAS_QUEBEC = 0.183 #https://www.canada.ca/en/environment-climate-change/services/climate-change/pricing-pollution-how-it-will-work/output-based-pricing-system/federal-greenhouse-gas-offset-system/emission-factors-reference-values.html
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EMISSION_FACTOR_BIOMASS_QUEBEC = 0.035 #Data from Spain. https://www.miteco.gob.es/es/cambio-climatico/temas/mitigacion-politicas-y-medidas/factoresemision_tcm30-479095.pdf
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@ -18,23 +18,20 @@ from hub.imports.usage_factory import UsageFactory
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from hub.imports.weather_factory import WeatherFactory
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from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
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from sra_engine import SraEngine
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import numpy as np
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from printing_results import *
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from hub.helpers import constants as cte
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from life_cycle_costs import LifeCycleCosts
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from costs import CLIMATE_REFERENCE_CITY, WEATHER_FILE, WEATHER_FORMAT, CONSTRUCTION_FORMAT, USAGE_FORMAT
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from costs import ENERGY_SYSTEM_FORMAT, ATTIC_HEATED_CASE, BASEMENT_HEATED_CASE, RETROFITTING_SCENARIOS, NUMBER_OF_YEARS
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from costs import CONSTRUCTION_FORMAT
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from costs import ENERGY_SYSTEM_FORMAT, RETROFITTING_SCENARIOS, NUMBER_OF_YEARS
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from costs import CONSUMER_PRICE_INDEX, ELECTRICITY_PEAK_INDEX, ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE
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from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
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from costs import RETROFITTING_YEAR_CONSTRUCTION
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from costs import EMISSION_FACTOR_GAS_QUEBEC, EMISSION_FACTOR_ELECTRICITY_QUEBEC, EMISSION_FACTOR_GAS_QUEBEC,\
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EMISSION_FACTOR_BIOMASS_QUEBEC, EMISSION_FACTOR_FUEL_OIL_QUEBEC, EMISSION_FACTOR_DIESEL_QUEBEC
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# import paths
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from results import Results
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def _npv_from_list(npv_discount_rate, list_cashflow):
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lcc_value = npf.npv(npv_discount_rate, list_cashflow)
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return lcc_value
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@ -147,27 +144,29 @@ for retrofitting_scenario in RETROFITTING_SCENARIOS:
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global_operational_incomes.to_excel(writer, sheet_name='global_operational_incomes')
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global_capital_incomes.to_excel(writer, sheet_name='global_capital_incomes')
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investmentcosts = pd.DataFrame([])
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print('RETROFITTING SCENARIO', retrofitting_scenario)
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if retrofitting_scenario == 0:
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investmentcosts = [global_capital_costs['B2010_opaque_walls'][0],
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global_capital_costs['B2020_transparent'][0],
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global_capital_costs['B3010_opaque_roof'][0],
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global_capital_costs['B10_superstructure'][0],
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global_capital_costs['D3020_heat_generating_systems'][0],
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global_capital_costs['D3080_other_hvac_ahu'][0],
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global_capital_costs['D5020_lighting_and_branch_wiring'][0],
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global_capital_costs['D301010_photovoltaic_system'][0]]
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global_capital_costs['B2020_transparent'][0],
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global_capital_costs['B3010_opaque_roof'][0],
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global_capital_costs['B10_superstructure'][0],
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global_capital_costs['D3020_heat_generating_systems'][0],
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global_capital_costs['D3080_other_hvac_ahu'][0],
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global_capital_costs['D5020_lighting_and_branch_wiring'][0],
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global_capital_costs['D301010_photovoltaic_system'][0]]
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investmentcosts = pd.DataFrame(investmentcosts)
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else:
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investmentcosts[f'retrofitting_scenario {retrofitting_scenario}'] = [global_capital_costs['B2010_opaque_walls'][0],
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global_capital_costs['B2020_transparent'][0],
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global_capital_costs['B3010_opaque_roof'][0],
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global_capital_costs['B10_superstructure'][0],
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global_capital_costs['D3020_heat_generating_systems'][0],
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global_capital_costs['D3080_other_hvac_ahu'][0],
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global_capital_costs['D5020_lighting_and_branch_wiring'][0],
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global_capital_costs['D301010_photovoltaic_system'][0]]
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investmentcosts[f'retrofitting_scenario_{retrofitting_scenario}'] = \
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[global_capital_costs['B2010_opaque_walls'][0],
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global_capital_costs['B2020_transparent'][0],
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global_capital_costs['B3010_opaque_roof'][0],
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global_capital_costs['B10_superstructure'][0],
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global_capital_costs['D3020_heat_generating_systems'][0],
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global_capital_costs['D3080_other_hvac_ahu'][0],
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global_capital_costs['D5020_lighting_and_branch_wiring'][0],
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global_capital_costs['D301010_photovoltaic_system'][0]]
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investmentcosts.index = ['Opaque walls', 'Transparent walls', 'Opaque roof', 'Superstructure',
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'Heat generation systems', 'Other HVAC AHU', 'Lighting and branch wiring', 'PV systems']
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@ -242,7 +241,7 @@ for retrofitting_scenario in RETROFITTING_SCENARIOS:
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print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')
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printing_results(investmentcosts,life_cycle_results,total_floor_area)
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# printing_results(investmentcosts, life_cycle_results, total_floor_area)
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@ -102,7 +102,6 @@ class LifeCycleCosts:
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surface_transparent += thermal_boundary.opaque_area * thermal_boundary.window_ratio
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chapters = archetype.capital_cost
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print('kk')
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peak_heating = building.heating_peak_load[cte.YEAR][0]/1000
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peak_cooling = building.cooling_peak_load[cte.YEAR][0]/1000
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# todo: change area pv when the variable exists
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@ -1,16 +1,14 @@
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import numpy as np
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import plotly.graph_objects as go
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import plotly.offline as offline
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import matplotlib.pyplot as plt
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import plotly.express as px
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def printing_results(investmentcosts, life_cycle_results,total_floor_area):
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labels = investmentcosts.index
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values = investmentcosts['retrofitting_scenario 1']
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values2 = investmentcosts['retrofitting_scenario 2']
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values3 = investmentcosts['retrofitting_scenario 3']
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values = investmentcosts['retrofitting_scenario_1']
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values2 = investmentcosts['retrofitting_scenario_2']
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values3 = investmentcosts['retrofitting_scenario_3']
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fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
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fig2 = go.Figure(data=[go.Pie(labels=labels, values=values2)])
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@ -21,11 +19,11 @@ def printing_results(investmentcosts, life_cycle_results,total_floor_area):
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showlegend=True
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)
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fig2.update_layout(
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title='Retrofitting scenario 1',
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title='Retrofitting scenario 2',
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showlegend=True
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)
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fig3.update_layout(
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title='Retrofitting scenario 1',
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title='Retrofitting scenario 3',
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showlegend=True
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)
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4
out_files/.gitignore
vendored
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4
out_files/.gitignore
vendored
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@ -0,0 +1,4 @@
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# Ignore everything in this directory
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.gitignore
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# Except this file
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!.gitignore
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