Changes in subsidy structure

__main__.py

@@ -101,7 +101,7 @@ for retrofitting_scenario in retrofitting_scenarios:
 
   if retrofitting_scenario == 1 or retrofitting_scenario == 3:
     for building in city.buildings:
-      building.year_of_construction = 2020
+      building.year_of_construction = retrofitting_year_of_construction
     ConstructionFactory(construction_format, city).enrich()
     print('enrich retrofitted constructions... done')
 
@@ -131,7 +131,7 @@ for retrofitting_scenario in retrofitting_scenarios:
     print(f'fuel type {fuel_type}')
     lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index, electricity_peak_index,
                          electricity_price_index, gas_price_index, discount_rate, retrofitting_scenario, fuel_type)
-    global_capital_costs = lcc.calculate_capital_costs()
+    global_capital_costs, global_capital_incomes = lcc.calculate_capital_costs()
     global_end_of_life_costs = lcc.calculate_end_of_life_costs()
     global_operational_costs = lcc.calculate_total_operational_costs()
     global_maintenance_costs = lcc.calculate_total_maintenance_costs()
@@ -143,7 +143,7 @@ for retrofitting_scenario in retrofitting_scenarios:
       global_operational_costs.to_excel(writer, sheet_name='global_operational_costs')
       global_maintenance_costs.to_excel(writer, sheet_name='global_maintenance_costs')
       global_operational_incomes.to_excel(writer, sheet_name='global_operational_incomes')
-
+      global_capital_incomes.to_excel(writer, sheet_name='global_capital_incomes')
 
     df_capital_costs_skin = (
         global_capital_costs['B2010_opaque_walls'] + global_capital_costs['B2020_transparent'] +
@@ -173,12 +173,16 @@ for retrofitting_scenario in retrofitting_scenarios:
     )
     df_operational_incomes = global_operational_incomes['Incomes electricity']
 
+    df_capital_incomes = global_capital_incomes['Subsidies construction'] + global_capital_incomes['Subsidies HVAC'] + \
+                         global_capital_incomes['Subsidies PV']
+
     life_cycle_costs_capital_skin = _npv_from_list(discount_rate, df_capital_costs_skin.values.tolist())
     life_cycle_costs_capital_systems = _npv_from_list(discount_rate, df_capital_costs_systems.values.tolist())
     life_cycle_costs_end_of_life_costs = _npv_from_list(discount_rate, df_end_of_life_costs.values.tolist())
     life_cycle_operational_costs = _npv_from_list(discount_rate, df_operational_costs.values.tolist())
     life_cycle_maintenance_costs = _npv_from_list(discount_rate, df_maintenance_costs.values.tolist())
     life_cycle_operational_incomes = _npv_from_list(discount_rate, df_operational_incomes.values.tolist())
+    life_cycle_capital_incomes = _npv_from_list(discount_rate, df_capital_incomes.values.tolist())
 
     life_cycle_costs = (
         life_cycle_costs_capital_skin +
@@ -186,7 +190,8 @@ for retrofitting_scenario in retrofitting_scenarios:
         life_cycle_costs_end_of_life_costs +
         life_cycle_operational_costs +
         life_cycle_maintenance_costs -
-        life_cycle_operational_incomes
+        life_cycle_operational_incomes -
+        life_cycle_capital_incomes
     )
 
     life_cycle_results[f'Scenario {retrofitting_scenario}'] = [life_cycle_costs_capital_skin,
@@ -194,12 +199,13 @@ for retrofitting_scenario in retrofitting_scenarios:
                                                                life_cycle_costs_end_of_life_costs,
                                                                life_cycle_operational_costs,
                                                                life_cycle_maintenance_costs,
-                                                               life_cycle_operational_incomes]
+                                                               life_cycle_operational_incomes,
+                                                               life_cycle_capital_incomes]
 
     life_cycle_results.index = [f'total_capital_costs_skin',
                                 f'total_capital_costs_systems', f'end_of_life_costs',
                                 f'total_operational_costs', f'total_maintenance_costs',
-                                f'operational_incomes']
+                                f'operational_incomes', f'capital_incomes']
 
     print(life_cycle_results)
     print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')

life_cycle_costs.py

@@ -63,6 +63,8 @@ class LifeCycleCosts:
                                                                       'PV_maintenance'], dtype='float')
     self._yearly_operational_incomes = pd.DataFrame(index=rng, columns=['Incomes electricity'], dtype='float')
 
+    self._yearly_capital_incomes = pd.DataFrame(index=rng, columns=['Subsidies construction',
+                                                                    'Subsidies HVAC', 'Subsidies PV'], dtype='float')
   def calculate_capital_costs(self):
     building = self._building
     archetype = self._archetype
@@ -71,6 +73,17 @@ class LifeCycleCosts:
     surface_transparent = 0
     surface_roof = 0
     surface_ground = 0
+    capital_cost_pv = 0
+    capital_cost_opaque = 0
+    capital_cost_ground = 0
+    capital_cost_transparent = 0
+    capital_cost_roof = 0
+    capital_cost_heating_equipment = 0
+    capital_cost_cooling_equipment = 0
+    capital_cost_distribution_equipment = 0
+    capital_cost_other_hvac_ahu = 0
+    capital_cost_lighting = 0
+
     total_floor_area = self._total_floor_area
 
     for internal_zone in building.internal_zones:
@@ -98,7 +111,6 @@ class LifeCycleCosts:
     self._yearly_capital_costs.loc[0]['B2020_transparent'] = 0
     self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = 0
     self._yearly_capital_costs.loc[0]['B10_superstructure'] = 0
-    self._yearly_capital_costs.loc[0, 'B_Shell'] = 0
 
     self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = 0
     self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = 0
@@ -106,6 +118,10 @@ class LifeCycleCosts:
     self._yearly_capital_costs.loc[0, 'D3080_other_hvac_ahu'] = 0
     self._yearly_capital_costs.loc[0, 'D5020_lighting_and_branch_wiring'] = 0
 
+    self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = 0
+    self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = 0
+    self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = 0
+
     self._yearly_capital_costs.fillna(0, inplace=True)
     if self._retrofitting_scenario in (self.SKIN_RETROFIT, self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
       chapter = chapters.chapter('B_shell')
@@ -113,12 +129,13 @@ class LifeCycleCosts:
       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'] = capital_cost_opaque
       self._yearly_capital_costs.loc[0]['B2020_transparent'] = capital_cost_transparent
       self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = capital_cost_roof
       self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground
-      self._yearly_capital_costs.loc[0, 'B_Shell'] = capital_cost_skin
+
 
     if self._retrofitting_scenario in (self.SYSTEM_RETROFIT_AND_PV, self.SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
       chapter = chapters.chapter('D_services')
@@ -135,6 +152,7 @@ class LifeCycleCosts:
       )
       capital_cost_other_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
       capital_cost_lighting = total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
+
       self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'], = capital_cost_heating_equipment
       self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = capital_cost_cooling_equipment
       self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = capital_cost_distribution_equipment
@@ -170,7 +188,16 @@ class LifeCycleCosts:
           self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_pv \
                                                                                 * chapter.item(
             'D301010_photovoltaic_system').reposition[0] * costs_increase
-    return self._yearly_capital_costs
+    capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof
+    capital_cost_hvac = capital_cost_heating_equipment + capital_cost_cooling_equipment + \
+                        capital_cost_distribution_equipment + capital_cost_other_hvac_ahu + capital_cost_lighting
+
+    self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = capital_cost_skin * \
+                                                                    archetype.income.construction_subsidy/100
+    self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = capital_cost_hvac * archetype.income.hvac_subsidy/100
+    self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = capital_cost_pv * archetype.income.photovoltaic_subsidy/100
+    self._yearly_capital_incomes.fillna(0, inplace=True)
+    return self._yearly_capital_costs, self._yearly_capital_incomes
 
   def calculate_end_of_life_costs(self):
     archetype = self._archetype
@@ -216,11 +243,6 @@ class LifeCycleCosts:
 
     # todo: change when peak electricity demand is coded. Careful with factor residential
     peak_electricity_demand = 100  # self._peak_electricity_demand
-    print(f'total_electricity_cooling {electricity_cooling}')
-    print(f'total_electricity_lighting {electricity_lighting}')
-    print(f'total_electricity_plug_loads {electricity_plug_loads}')
-    print(f'total_electricity_consumption {total_electricity_consumption}')
-    print(f'price_electricity {archetype.operational_cost.fuels[0].variable[0]}')
     variable_electricity_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
     peak_electricity_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
     monthly_electricity_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * factor_residential
@@ -260,10 +282,13 @@ class LifeCycleCosts:
     price_increase_electricity = 0
 
     for year in range(1, self._number_of_years + 1):
-      price_increase_electricity += math.pow(1 + self._electricity_price_index, year)
+      price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
-
+      #todo: check the adequate assignation of price. Pilar
-      self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = onsite_electricity_production * \
+      price_export = 0.075 # archetype.income.electricity_export
+      self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (onsite_electricity_production *
+                                                                           price_export *
                                                                            price_increase_electricity
+                                                                           )
 
     self._yearly_operational_incomes.fillna(0, inplace=True)
     return self._yearly_operational_incomes