costs_workflow/life_cycle_costs.py

"""
LifeCycleCosts calculates the life cycle costs of one building
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca
Project contributor © 2023 Author Oriol Gavaldà Torrellas oriol.gavalda@concordia.ca
"""

import math
import pandas as pd
import numpy as np
from datetime import date

import hub.helpers.constants as cte

class LifeCycleCosts:
  def __init__(self, building, archetype, number_of_years, consumer_price_index, discount_rate,
               retrofitting_scenario, heating_scop, cooling_seer, peak_electricity_demand, factor_pv,factor_peak_lights):
    self._building = building
    self._number_of_years = number_of_years
    self._consumer_price_index = consumer_price_index
    self._discount_rate = discount_rate
    self._archetype = archetype
    self._end_of_life_cost = 0
    self._capital_costs_at_year_0 = 0
    self._items = 0
    self._fuels = 0
    self._concepts = 0
    self._retrofitting_scenario = retrofitting_scenario
    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._heating_scop = heating_scop
    self._cooling_seer = cooling_seer
    self._peak_electricity_demand = peak_electricity_demand
    self._factor_pv = factor_pv
    self._peak_lights = factor_peak_lights
    #todo: revise if it works
    rng = range(40)
    self._yearly_capital_costs = pd.DataFrame(index=rng , columns=['B2010_opaque_walls', 'B2020_transparent',
                                                         'B3010_opaque_roof','B10_superstructure',
                                                         'D301010_photovoltaic_system','D3020_heat_generating_systems',
                                                         'D3030_cooling_generation_systems','D3040_distribution_systems',
                                                         'D3080_other_hvac_ahu','D5020_lighting_and_branch_wiring',
                                                         'D_services'], dtype='float')
    self._yearly_capital_costs.replace(np.nan,0)

  def calculate_capital_costs(self):
    building = self._building
    archetype = self._archetype
    factor_pv = self._factor_pv

    surface_opaque = 0
    surface_transparent = 0
    surface_roof = 0
    surface_ground = 0
    total_floor_area = self._total_floor_area


    for internal_zone in building.internal_zones:
        for thermal_zone in internal_zone.thermal_zones:
          for thermal_boundary in thermal_zone.thermal_boundaries:
            if thermal_boundary.type == 'Ground':
              surface_ground += thermal_boundary.opaque_area
            elif thermal_boundary.type == 'Roof':
              surface_roof += thermal_boundary.opaque_area
            elif thermal_boundary.type == 'Wall':
              surface_opaque += thermal_boundary.opaque_area * (1-thermal_boundary.window_ratio)
            surface_transparent += thermal_boundary.opaque_area * thermal_boundary.window_ratio

    chapters = archetype.capital_cost
    capital_cost_skin = 0
    capital_cost_services = 0
    reposition_cost_pv = 0

    peak_heating = 0.1*self._total_floor_area
    peak_cooling = 0.1*self._total_floor_area

    if self._retrofitting_scenario == 1 or self._retrofitting_scenario == 3:
      chapter = chapters.chapter('B_shell')
      capital_cost_opaque = surface_opaque * chapter.item('B2010_opaque_walls').refurbishment[0]
      capital_cost_transparent = surface_transparent * chapter.item('B2020_transparent').refurbishment[0]
      capital_cost_roof = surface_roof * chapter.item('B3010_opaque_roof').refurbishment[0]
      capital_cost_ground = surface_ground * chapter.item('B10_superstructure').refurbishment[0]
      capital_cost_skin = capital_cost_opaque+capital_cost_transparent+capital_cost_roof+capital_cost_ground
      self._yearly_capital_costs.loc[0]['B2010_opaque_walls'],self._yearly_capital_costs.loc[0]['B2020_transparent'], \
        self._yearly_capital_costs.loc[0]['B3010_opaque_roof'],self._yearly_capital_costs.loc[0]['B10_superstructure'],\
        self._yearly_capital_costs.loc[0]['B_Shell']\
        =[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:
      chapter = chapters.chapter('D_services')
      capital_cost_pv = surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
      self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system']=capital_cost_pv
      for year in range(1, self._number_of_years + 1):
        costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
        if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
          reposition_cost_pv += surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').reposition[
            0] * costs_increase
          self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_roof * \
                                                                           factor_pv * chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
      capital_cost_heating_equipment = peak_heating \
                                       * chapter.item('D3020_heat_generating_systems').initial_investment[0]
      capital_cost_cooling_equipment = peak_cooling \
                                       * chapter.item('D3030_cooling_generation_systems').initial_investment[0]
      capital_cost_distribution_equipment = peak_cooling \
                                            * chapter.item('D3040_distribution_systems').initial_investment[0]
      capital_cost_other_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
      capital_cost_lighting = total_floor_area * self._peak_lights \
                              * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]

      capital_cost_services = capital_cost_pv + capital_cost_heating_equipment + capital_cost_cooling_equipment\
                              + capital_cost_distribution_equipment + capital_cost_other_hvac_ahu \
                              + capital_cost_lighting
      self._yearly_capital_costs.loc[0]['D3020_heat_generating_systems'], self._yearly_capital_costs.loc[0]['D3030_cooling_generation_systems'], \
        self._yearly_capital_costs.loc[0]['D3040_distribution_systems'], self._yearly_capital_costs.loc[0]['D3080_other_hvac_ahu'], \
        self._yearly_capital_costs.loc[0]['D5020_lighting_and_branch_wiring'], self._yearly_capital_costs.loc[0]['D_services'] \
        = [capital_cost_heating_equipment, capital_cost_cooling_equipment, capital_cost_distribution_equipment,
           capital_cost_other_hvac_ahu, capital_cost_lighting, capital_cost_services]

    reposition_cost_heating_equipment = 0
    reposition_cost_cooling_equipment = 0
    reposition_cost_lighting = 0
    reposition_cost_hvac_ahu = 0

    for year in range(1, self._number_of_years + 1):
      chapter = chapters.chapter('D_services')
      costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
      if (year % chapter.item('D3020_heat_generating_systems').lifetime) == 0:
        reposition_cost_heating_equipment = peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] \
                                            * costs_increase
        self._yearly_capital_costs.loc[year]['D3020_heat_generating_systems'] = reposition_cost_heating_equipment
      if (year % chapter.item('D3030_cooling_generation_systems').lifetime) == 0:
        reposition_cost_cooling_equipment = peak_cooling \
                                            * chapter.item('D3030_cooling_generation_systems').reposition[0] \
                                            * costs_increase
        self._yearly_capital_costs.loc[year]['D3030_cooling_generation_systems'] = reposition_cost_cooling_equipment
      if (year % chapter.item('D3080_other_hvac_ahu').lifetime) == 0:
        reposition_cost_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[0] * costs_increase
        self._yearly_capital_costs.loc[year]['D3080_other_hvac_ahu'] = reposition_cost_hvac_ahu
      if (year % chapter.item('D5020_lighting_and_branch_wiring').lifetime) == 0:
        reposition_cost_lighting = total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[0] \
                                   * costs_increase
        self._yearly_capital_costs.loc[year]['D5020_lighting_and_branch_wiring'] = reposition_cost_lighting
    capital_cost_subtotal = capital_cost_skin + capital_cost_services

    capital_cost_total = capital_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)

    reposition_cost_subtotal = reposition_cost_pv + reposition_cost_heating_equipment \
                               + reposition_cost_cooling_equipment + reposition_cost_hvac_ahu \
                               + reposition_cost_hvac_ahu + reposition_cost_lighting

    reposition_cost_total = reposition_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)

    life_cycle_cost_capital_total = capital_cost_total + reposition_cost_total
    self._yearly_capital_costs.fillna(0,inplace=True)

    return life_cycle_cost_capital_total

  def calculate_end_of_life_costs(self):
    archetype = self._archetype

    total_floor_area = self._total_floor_area

    price_increase = 0
    for year in range(1, self._number_of_years + 1):
      price_increase += math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
    price_increase_average = price_increase/self._number_of_years

    return total_floor_area * archetype.end_of_life_cost*price_increase_average

  def calculate_total_operational_costs(self):
    building = self._building
    archetype = self._archetype

    total_operational_costs = 0
    peak_cost = 0
    monthly_cost = 0
    variable_cost = 0
    total_floor_area = self._total_floor_area

    electricity_heating = building.heating[cte.YEAR]['insel meb'] / (self._heating_scop*1000)
    electricity_cooling = building.cooling[cte.YEAR]['insel meb'] / (self._cooling_seer*1000)
    electricity_lighting = building.lighting_electrical_demand['month']['insel meb'].sum()/1000
    domestic_hot_water_demand = building.domestic_hot_water_heat_demand['month']['insel meb'].sum()/1000
    electricity_plug_loads = building.appliances_electrical_demand['month']['insel meb'].sum()/1000
    total_electricity_consumption = electricity_cooling[0] + electricity_heating[0] + electricity_lighting \
                                    + domestic_hot_water_demand + electricity_plug_loads

    print(f'total electricity consumption: {total_electricity_consumption}')

    peak_electricity_demand = self._peak_electricity_demand

    operational_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
    peak_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
    monthly_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * (total_floor_area/100)
    print(f'operational_cost_year_0 {operational_cost_year_0}')
    print(f'peak_cost_year_0 {peak_cost_year_0}')
    print(f'monthly_cost_year_0 {monthly_cost_year_0}')

    for year in range(1, self._number_of_years + 1):
      peak_cost += operational_cost_year_0 \
                   * math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
      monthly_cost += peak_cost_year_0 \
                      * math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
      variable_cost += monthly_cost_year_0 \
                       * math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
      total_operational_costs = peak_cost + monthly_cost + variable_cost

    return total_operational_costs

  def calculate_total_maintenance_costs(self):
    building = self._building
    archetype = self._archetype
    factor_pv = self._factor_pv
    surface_roof = 0
    maintenance_pv = 0
    maintenance_heating = 0
    maintenance_cooling = 0
    peak_heating = 0.1 * self._total_floor_area
    peak_cooling = 0.1 * self._total_floor_area

    for internal_zone in building.internal_zones:
        for thermal_zone in internal_zone.thermal_zones:
          for thermal_boundary in thermal_zone.thermal_boundaries:
            if thermal_boundary.type == 'Roof':
              surface_roof += thermal_boundary.opaque_area
    surface_pv = surface_roof * factor_pv
    maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
    maintenance_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating
    maintenance_cooling_0 = peak_cooling * archetype.operational_cost.maintenance_cooling
    for year in range(1, self._number_of_years + 1):
      costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
      maintenance_pv += maintenance_pv_0 * costs_increase
      maintenance_heating += maintenance_heating_0 * costs_increase
      maintenance_cooling += maintenance_cooling_0 * costs_increase
    total_maintenance_costs = maintenance_pv + maintenance_heating + maintenance_cooling
    return total_maintenance_costs