costs_workflow/costs/end_of_life_costs.py

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2023-07-14 15:37:12 -04:00
"""
End of life costs module
"""
import math
import pandas as pd
from hub.city_model_structure.building import Building
from configuration import Configuration
class EndOfLifeCosts:
"""
End of life costs class
"""
def __init__(self, building: Building, configuration: Configuration):
self._building = building
self._configuration = configuration
self._total_floor_area = 0
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
self._total_floor_area += thermal_zone.total_floor_area
self._archetype = None
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
rng = range(configuration.number_of_years)
self._yearly_end_of_life_costs = pd.DataFrame(index=rng, columns=['End_of_life_costs'], dtype='float')
def calculate(self):
"""
Calculate end of life costs
:return: pd.DataFrame
"""
archetype = self._archetype
total_floor_area = self._total_floor_area
for year in range(1, self._configuration.number_of_years + 1):
price_increase = math.pow(1 + self._configuration.consumer_price_index, year)
if year == self._configuration.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.fillna(0, inplace=True)
return self._yearly_end_of_life_costs