p_monsalvete/costs_workflow
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bug correction

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This commit is contained in:
Guille Gutierrez 2023-05-30 14:42:49 -04:00
parent fff569b46f
commit 3a7ecb2472
3 changed files with 97 additions and 94 deletions
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39
life_cycle_costs.py
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@ -41,9 +41,12 @@ class LifeCycleCosts:
rng = range(number_of_years) rng = range(number_of_years)
self._yearly_capital_costs = pd.DataFrame(index=rng, columns=['B2010_opaque_walls', 'B2020_transparent', self._yearly_capital_costs = pd.DataFrame(index=rng, columns=['B2010_opaque_walls', 'B2020_transparent',
'B3010_opaque_roof', 'B10_superstructure', 'B3010_opaque_roof', 'B10_superstructure',
'D301010_photovoltaic_system','D3020_heat_generating_systems', 'D301010_photovoltaic_system',
'D3030_cooling_generation_systems','D3040_distribution_systems', 'D3020_heat_generating_systems',
'D3080_other_hvac_ahu','D5020_lighting_and_branch_wiring'], 'D3030_cooling_generation_systems',
'D3040_distribution_systems',
'D3080_other_hvac_ahu',
'D5020_lighting_and_branch_wiring'],
dtype='float') dtype='float')
self._yearly_end_of_life_costs = pd.DataFrame(index=rng, columns=['End_of_life_costs'], dtype='float') self._yearly_end_of_life_costs = pd.DataFrame(index=rng, columns=['End_of_life_costs'], dtype='float')
self._yearly_operational_costs = pd.DataFrame(index=rng, columns=['Fixed_costs_electricity_peak', self._yearly_operational_costs = pd.DataFrame(index=rng, columns=['Fixed_costs_electricity_peak',
@ -109,7 +112,6 @@ class LifeCycleCosts:
= [capital_cost_opaque, capital_cost_transparent, capital_cost_roof, capital_cost_ground, capital_cost_skin] = [capital_cost_opaque, capital_cost_transparent, capital_cost_roof, capital_cost_ground, capital_cost_skin]
if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3: if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
chapter = chapters.chapter('D_services') chapter = chapters.chapter('D_services')
capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0] capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
@ -160,7 +162,8 @@ class LifeCycleCosts:
if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3: if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0: if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_pv \ self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_pv \
* chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase * chapter.item(
'D301010_photovoltaic_system').reposition[0] * costs_increase
return self._yearly_capital_costs return self._yearly_capital_costs
def calculate_end_of_life_costs(self): def calculate_end_of_life_costs(self):
@ -171,7 +174,8 @@ class LifeCycleCosts:
for year in range(1, self._number_of_years + 1): for year in range(1, self._number_of_years + 1):
price_increase += math.pow(1 + self._consumer_price_index, year) price_increase += math.pow(1 + self._consumer_price_index, year)
if year == self._number_of_years: if year == self._number_of_years:
self._yearly_end_of_life_costs.at[year,'End_of_life_costs'] = total_floor_area * archetype.end_of_life_cost*price_increase self._yearly_end_of_life_costs.at[
year, 'End_of_life_costs'] = total_floor_area * archetype.end_of_life_cost * price_increase
self._yearly_end_of_life_costs.fillna(0, inplace=True) self._yearly_end_of_life_costs.fillna(0, inplace=True)
return self._yearly_end_of_life_costs return self._yearly_end_of_life_costs
@ -219,8 +223,9 @@ class LifeCycleCosts:
self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_monthly'] = monthly_electricity_cost_year_0 * \ self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_monthly'] = monthly_electricity_cost_year_0 * \
price_increase_peak_electricity price_increase_peak_electricity
self._yearly_operational_costs.at[year,'Variable_costs_electricity'] = variable_electricity_cost_year_0 * \ self._yearly_operational_costs.at[year, 'Variable_costs_electricity'] = float(
price_increase_electricity variable_electricity_cost_year_0 * price_increase_electricity
)
self._yearly_operational_costs.at[year, 'Fixed_costs_gas'] = fixed_gas_cost_year_0 * \ self._yearly_operational_costs.at[year, 'Fixed_costs_gas'] = fixed_gas_cost_year_0 * \
price_increase_gas price_increase_gas
self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = variable_gas_cost_year_0 * \ self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = variable_gas_cost_year_0 * \
@ -234,12 +239,10 @@ class LifeCycleCosts:
def calculate_total_operational_incomes(self): def calculate_total_operational_incomes(self):
building = self._building building = self._building
archetype = self._archetype archetype = self._archetype
if cte.YEAR not in building.onsite_electrical_production:
if (building.onsite_electrical_production is None):
onsite_electricity_production = 0 onsite_electricity_production = 0
else: else:
onsite_electricity_production= 100 #building.onsite_electrical_production[cte.YEAR]/1000 onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]/1000
price_increase_electricity = 0 price_increase_electricity = 0
for year in range(1, self._number_of_years + 1): for year in range(1, self._number_of_years + 1):
@ -255,16 +258,18 @@ class LifeCycleCosts:
building = self._building building = self._building
archetype = self._archetype archetype = self._archetype
# todo: change area pv when the variable exists # todo: change area pv when the variable exists
surface_pv = 10 #building.area_pv roof_area = 0
for roof in building.roofs:
roof_area += roof.solid_polygon.area
surface_pv = roof_area * 0.5
peak_heating = 100#building.heating_peak_load[cte.YEAR][0] peak_heating = building.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD][0]
peak_cooling = 100#building.cooling_peak_load[cte.YEAR][0] peak_cooling = building.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD][0]
maintenance_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating maintenance_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating
maintenance_cooling_0 = peak_cooling * archetype.operational_cost.maintenance_cooling maintenance_cooling_0 = peak_cooling * archetype.operational_cost.maintenance_cooling
maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
print(f'peak_heating{peak_heating}')
print(f'maintenance_cost{archetype.operational_cost.maintenance_heating}')
for year in range(1, self._number_of_years + 1): for year in range(1, self._number_of_years + 1):
costs_increase = math.pow(1 + self._consumer_price_index, year) costs_increase = math.pow(1 + self._consumer_price_index, year)
self._yearly_maintenance_costs.loc[year, 'Heating_maintenance'] = maintenance_heating_0 * \ self._yearly_maintenance_costs.loc[year, 'Heating_maintenance'] = maintenance_heating_0 * \

19
main.py
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@ -7,25 +7,23 @@ Copyright © 2022 Project Author Pilar Monsalvete Álvarez de Uribarri pilar.mon
import glob import glob
import os import os
from pathlib import Path from pathlib import Path
import sys
import pandas as pd
import numpy_financial as npf import numpy_financial as npf
import pandas as pd
from energy_systems_sizing import EnergySystemsSizing
from hub.imports.construction_factory import ConstructionFactory from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
from hub.helpers.dictionaries import Dictionaries from hub.helpers.dictionaries import Dictionaries
from hub.imports.construction_factory import ConstructionFactory
from hub.imports.energy_systems_factory import EnergySystemsFactory
from hub.imports.geometry_factory import GeometryFactory from hub.imports.geometry_factory import GeometryFactory
from hub.imports.usage_factory import UsageFactory from hub.imports.usage_factory import UsageFactory
from hub.imports.weather_factory import WeatherFactory from hub.imports.weather_factory import WeatherFactory
from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
import hub.helpers.constants as cte
from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
from sra_engine import SraEngine from sra_engine import SraEngine
from hub.imports.energy_systems_factory import EnergySystemsFactory
from energy_systems_sizing import EnergySystemsSizing
from life_cycle_costs import LifeCycleCosts from life_cycle_costs import LifeCycleCosts
def _npv_from_list(npv_discount_rate, list_cashflow): def _npv_from_list(npv_discount_rate, list_cashflow):
lcc_value = npf.npv(npv_discount_rate, list_cashflow) lcc_value = npf.npv(npv_discount_rate, list_cashflow)
return lcc_value return lcc_value
@ -188,6 +186,5 @@ for retrofitting_scenario in retrofitting_scenarios:
print(life_cycle_results) print(life_cycle_results)
print(f'Scenario {retrofitting_scenario} {life_cycle_costs}') print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')
#todo: change if there is more than 1 building
life_cycle_results.to_excel(Path(__file__).parent/'out_files'/f'Results.xlsx', index=True)

1
resources.txt Normal file
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@ -0,0 +1 @@
numpy_financial