cleaned code. not found bug. not working

# Conflicts:
#	costs/__main__.py
#	costs/life_cycle_costs.py

capital_cost.py

@@ -1,54 +0,0 @@
-"""
-CapitalCost calculates the Capital Cost of one building
-SPDX - License - Identifier: LGPL - 3.0 - or -later
-Copyright © 2022 Project Coder Atiya atiya.atiya@mail.concordia.ca
-"""
-
-class CapitalCost:
-
-  def calculate_capital_cost(building_area, municipality, building_volume, total_opaque_area, total_transparent_area, content, heating_load, cooling_load, floor_area):
-    for cost in content.costs:
-      if cost.municipality == municipality:
-        structural_cost = float(cost.capital_cost.structural_cost) * building_volume
-        sub_structural_cost = float(cost.capital_cost.sub_structural_cost) * building_area
-
-        envelop_cost = 0.0
-        for i in range(len(cost.capital_cost.envelop_cost)):
-          if cost.capital_cost.envelop_cost[i].type == 'opaque_cost':
-            opague_cost = float(cost.capital_cost.envelop_cost[i].reposition) * total_opaque_area + float(
-              cost.capital_cost.envelop_cost[i].initial_investment) * total_opaque_area
-            envelop_cost += opague_cost
-          if cost.capital_cost.envelop_cost[i].type == 'transparent_cost':
-            transparent_cost = float(cost.capital_cost.envelop_cost[i].reposition) * total_transparent_area + float(
-              cost.capital_cost.envelop_cost[i].initial_investment) * total_transparent_area
-            envelop_cost += transparent_cost
-        # print("envelop_cost  ", envelop_cost)
-
-        hvac_cost = 0.0
-        for i in range(len(cost.capital_cost.system_cost.hvac_cost)):
-          if cost.capital_cost.system_cost.hvac_cost[i].type == 'heating_load_cost':
-            heating_load_cost = float(cost.capital_cost.system_cost.hvac_cost[i].reposition) * heating_load + float(
-              cost.capital_cost.system_cost.hvac_cost[i].initial_investment) * heating_load
-            hvac_cost += heating_load_cost
-          if cost.capital_cost.system_cost.hvac_cost[i].type == 'cooling_load_cost':
-            cooling_load_cost = float(cost.capital_cost.system_cost.hvac_cost[i].reposition) * cooling_load + float(
-              cost.capital_cost.system_cost.hvac_cost[i].initial_investment) * cooling_load
-            hvac_cost += cooling_load_cost
-
-        rest_cost = float(cost.capital_cost.system_cost.rest_cost.reposition) * floor_area
-        pv_cost = float(cost.capital_cost.system_cost.pv_cost.reposition) * floor_area
-        system_cost = hvac_cost + rest_cost + pv_cost
-
-        lighting_cost = float(cost.capital_cost.lighting_cost) * building_area
-        surface_finish_cost = float(cost.capital_cost.surface_finish_cost) * building_area
-        engineer_cost =  (float(cost.capital_cost.engineer_cost) * (structural_cost + sub_structural_cost + envelop_cost + system_cost + lighting_cost + surface_finish_cost)) / 100
-        construction_subsidy = (float(cost.capital_cost.subsidy.construction_subsidy) * (structural_cost + sub_structural_cost + envelop_cost)) / 100
-        hvac_subsidy = (float(cost.capital_cost.subsidy.hvac_subsidy) * hvac_cost) / 100
-        pv_subsidy = (float(cost.capital_cost.subsidy.pv_subsidy) * pv_cost) / 100
-
-        subsidy = construction_subsidy + hvac_subsidy + pv_subsidy
-
-        capital_cost = structural_cost + sub_structural_cost + envelop_cost + system_cost + lighting_cost + surface_finish_cost + engineer_cost + subsidy
-
-      return capital_cost
-

costs/__init__.py

@@ -0,0 +1,53 @@
+"""
+Cost workflow initialization
+"""
+import glob
+import os
+from pathlib import Path
+
+# configurable parameters
+file_path = Path('./data/selected_building_2864.geojson').resolve()
+CONSTRUCTION_FORMAT = 'nrcan'
+USAGE_FORMAT = 'comnet'
+ENERGY_SYSTEM_FORMAT = 'montreal_custom'
+ATTIC_HEATED_CASE = 0
+BASEMENT_HEATED_CASE = 1
+NUMBER_OF_YEARS = 31
+PERCENTAGE_CREDIT = 0
+INTEREST_RATE = 0.04
+CREDIT_YEARS = 15
+CONSUMER_PRICE_INDEX = 0.04
+ELECTRICITY_PEAK_INDEX = 0.05
+ELECTRICITY_PRICE_INDEX = 0.05
+GAS_PRICE_INDEX = 0.05
+DISCOUNT_RATE = 0.03
+RETROFITTING_YEAR_CONSTRUCTION = 2020
+
+CLIMATE_REFERENCE_CITY = 'Montreal'
+WEATHER_FILE = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
+WEATHER_FORMAT = 'epw'
+CURRENT_STATUS = 0
+SKIN_RETROFIT = 1
+SYSTEM_RETROFIT_AND_PV = 2
+SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV = 3
+RETROFITTING_SCENARIOS = [
+  CURRENT_STATUS,
+  SKIN_RETROFIT,
+  SYSTEM_RETROFIT_AND_PV,
+  SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
+]
+
+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.
+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
+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
+EMISSION_FACTOR_FUEL_OIL_QUEBEC = 0.274
+EMISSION_FACTOR_DIESEL_QUEBEC = 0.240
+
+
+tmp_folder = Path('./tmp').resolve()
+out_path = Path('./outputs').resolve()
+files = glob.glob(f'{out_path}/*')
+print('path', file_path)
+for file in files:
+  if file != '.gitignore':
+    os.remove(file)

costs/__main__.py

@@ -0,0 +1,254 @@
+"""
+Costs Workflow
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
+"""
+
+from pathlib import Path
+
+import numpy_financial as npf
+import pandas as pd
+from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
+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.usage_factory import UsageFactory
+from hub.imports.weather_factory import WeatherFactory
+from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
+from sra_engine import SraEngine
+from printing_results import *
+from hub.helpers import constants as cte
+from life_cycle_costs import LifeCycleCosts
+
+from costs import CONSTRUCTION_FORMAT
+from costs import ENERGY_SYSTEM_FORMAT, RETROFITTING_SCENARIOS, NUMBER_OF_YEARS
+from costs import CONSUMER_PRICE_INDEX, ELECTRICITY_PEAK_INDEX, ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE
+from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
+from costs import RETROFITTING_YEAR_CONSTRUCTION
+
+# import paths
+from results import Results
+
+
+def _npv_from_list(npv_discount_rate, list_cashflow):
+  lcc_value = npf.npv(npv_discount_rate, list_cashflow)
+  return lcc_value
+
+
+def _search_archetype(costs_catalog, building_function):
+  costs_archetypes = costs_catalog.entries('archetypes').archetypes
+  for building_archetype in costs_archetypes:
+    if str(building_function) == str(building_archetype.function):
+      return building_archetype
+  raise KeyError('archetype not found')
+
+
+life_cycle_results = pd.DataFrame()
+file_path = (Path(__file__).parent.parent / 'input_files' / 'summerschool_one_building.geojson')
+climate_reference_city = 'Montreal'
+weather_format = 'epw'
+construction_format = 'nrcan'
+usage_format = 'nrcan'
+energy_systems_format = 'montreal_custom'
+attic_heated_case = 0
+basement_heated_case = 1
+
+out_path = (Path(__file__).parent.parent / 'out_files')
+tmp_folder = (Path(__file__).parent / 'tmp')
+
+print('[simulation start]')
+city = GeometryFactory('geojson',
+                       path=file_path,
+                       height_field='citygml_me',
+                       year_of_construction_field='ANNEE_CONS',
+                       function_field='CODE_UTILI',
+                       function_to_hub=Dictionaries().montreal_function_to_hub_function).city
+city.climate_reference_city = climate_reference_city
+city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
+print(f'city created from {file_path}')
+WeatherFactory(weather_format, city).enrich()
+print('enrich weather... done')
+ConstructionFactory(construction_format, city).enrich()
+print('enrich constructions... done')
+UsageFactory(usage_format, city).enrich()
+print('enrich usage... done')
+for building in city.buildings:
+  building.energy_systems_archetype_name = 'system 1 gas pv'
+EnergySystemsFactory(energy_systems_format, city).enrich()
+print('enrich systems... done')
+
+print('exporting:')
+sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
+SraEngine(city, sra_file, tmp_folder)
+print('    sra processed...')
+catalog = CostCatalogFactory('montreal_custom').catalog
+
+for retrofitting_scenario in RETROFITTING_SCENARIOS:
+
+  if retrofitting_scenario in (SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV):
+    for building in city.buildings:
+      building.year_of_construction = RETROFITTING_YEAR_CONSTRUCTION
+    ConstructionFactory(CONSTRUCTION_FORMAT, city).enrich()
+    print('enrich retrofitted constructions... done')
+
+  if retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
+    for building in city.buildings:
+      building.energy_systems_archetype_name = 'system 6 electricity pv'
+    EnergySystemsFactory(ENERGY_SYSTEM_FORMAT, city).enrich()
+    print('enrich systems... done')
+
+  MonthlyEnergyBalanceEngine(city, tmp_folder)
+  print('    insel processed...')
+
+  for building in city.buildings:
+    for energy_system in building.energy_systems:
+      if cte.HEATING in energy_system.demand_types:
+        energy_system.generation_system.heat_power = building.heating_peak_load[cte.YEAR][0]
+      if cte.COOLING in energy_system.demand_types:
+        energy_system.generation_system.cooling_power = building.cooling_peak_load[cte.YEAR][0]
+    print(f' heating consumption {building.heating_consumption[cte.YEAR][0]}')
+  print('importing results:')
+  results = Results(city, out_path)
+  results.print()
+  print('results printed...')
+
+  print('[simulation end]')
+
+  print(f'beginning costing scenario {retrofitting_scenario} systems... done')
+
+  for building in city.buildings:
+    total_floor_area = 0
+    function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
+    archetype = _search_archetype(catalog, function)
+    print('lcc for first building started')
+    if "gas" in building.energy_systems_archetype_name:
+      FUEL_TYPE = 1
+    else:
+      FUEL_TYPE = 0
+
+    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, 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()
+    global_operational_incomes = lcc.calculate_total_operational_incomes(retrofitting_scenario)
+    full_path_output = Path(out_path / f'output {retrofitting_scenario} {building.name}.xlsx').resolve()
+    with pd.ExcelWriter(full_path_output) as writer:
+      global_capital_costs.to_excel(writer, sheet_name='global_capital_costs')
+      global_end_of_life_costs.to_excel(writer, sheet_name='global_end_of_life_costs')
+      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')
+
+    investmentcosts = pd.DataFrame([])
+    print('RETROFITTING SCENARIO', retrofitting_scenario)
+    if retrofitting_scenario == 0:
+      investmentcosts = [global_capital_costs['B2010_opaque_walls'][0],
+                         global_capital_costs['B2020_transparent'][0],
+                         global_capital_costs['B3010_opaque_roof'][0],
+                         global_capital_costs['B10_superstructure'][0],
+                         global_capital_costs['D3020_heat_generating_systems'][0],
+                         global_capital_costs['D3080_other_hvac_ahu'][0],
+                         global_capital_costs['D5020_lighting_and_branch_wiring'][0],
+                         global_capital_costs['D301010_photovoltaic_system'][0]]
+      investmentcosts = pd.DataFrame(investmentcosts)
+
+    else:
+      investmentcosts[f'retrofitting_scenario_{retrofitting_scenario}'] = \
+        [global_capital_costs['B2010_opaque_walls'][0],
+         global_capital_costs['B2020_transparent'][0],
+         global_capital_costs['B3010_opaque_roof'][0],
+         global_capital_costs['B10_superstructure'][0],
+         global_capital_costs['D3020_heat_generating_systems'][0],
+         global_capital_costs['D3080_other_hvac_ahu'][0],
+         global_capital_costs['D5020_lighting_and_branch_wiring'][0],
+         global_capital_costs['D301010_photovoltaic_system'][0]]
+
+    investmentcosts.index = ['Opaque walls', 'Transparent walls', 'Opaque roof', 'Superstructure',
+                             'Heat generation systems', 'Other HVAC AHU', 'Lighting and branch wiring', 'PV systems']
+
+    df_capital_costs_skin = (
+        global_capital_costs['B2010_opaque_walls'] + global_capital_costs['B2020_transparent'] +
+        global_capital_costs['B3010_opaque_roof'] + global_capital_costs['B10_superstructure']
+    )
+    df_capital_costs_systems = (
+        global_capital_costs['D3020_heat_generating_systems'] +
+        global_capital_costs['D3030_cooling_generation_systems'] +
+        global_capital_costs['D3080_other_hvac_ahu'] +
+        global_capital_costs['D5020_lighting_and_branch_wiring'] +
+        global_capital_costs['D301010_photovoltaic_system']
+    )
+    df_end_of_life_costs = global_end_of_life_costs['End_of_life_costs']
+    df_operational_costs = (
+      global_operational_costs['Fixed_costs_electricity_peak'] +
+      global_operational_costs['Fixed_costs_electricity_monthly'] +
+      global_operational_costs['Fixed_costs_electricity_peak'] +
+      global_operational_costs['Fixed_costs_electricity_monthly'] +
+      global_operational_costs['Variable_costs_electricity'] +
+      global_operational_costs['Fixed_costs_gas'] +
+      global_operational_costs['Variable_costs_gas']
+    )
+    df_maintenance_costs = (
+        global_maintenance_costs['Heating_maintenance'] +
+        global_maintenance_costs['Cooling_maintenance'] +
+        global_maintenance_costs['PV_maintenance']
+    )
+    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 +
+        life_cycle_costs_capital_systems +
+        life_cycle_costs_end_of_life_costs +
+        life_cycle_operational_costs +
+        life_cycle_maintenance_costs -
+        life_cycle_operational_incomes -
+        life_cycle_capital_incomes
+    )
+    total_floor_area += lcc.calculate_total_floor_area()
+    life_cycle_results[f'Scenario {retrofitting_scenario}'] = [life_cycle_costs_capital_skin,
+                                                               life_cycle_costs_capital_systems,
+                                                               life_cycle_costs_end_of_life_costs,
+                                                               life_cycle_operational_costs,
+                                                               life_cycle_maintenance_costs,
+                                                               -life_cycle_operational_incomes,
+                                                               -life_cycle_capital_incomes]
+
+    life_cycle_results.index = ['total_capital_costs_skin',
+                                'total_capital_costs_systems',
+                                'end_of_life_costs',
+                                'total_operational_costs',
+                                'total_maintenance_costs',
+                                'operational_incomes',
+                                'capital_incomes']
+
+    print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')
+
+#    printing_results(investmentcosts, life_cycle_results, total_floor_area)
+
+
+
+
+
+
+
+
+
+

costs/__main__emissions.py

@@ -0,0 +1,68 @@
+"""
+Costs Workflow
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
+"""
+
+from pathlib import Path
+
+import pandas as pd
+from hub.helpers.dictionaries import Dictionaries
+from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
+
+from costs import EMISSION_FACTOR_ELECTRICITY_QUEBEC, EMISSION_FACTOR_GAS_QUEBEC, EMISSION_FACTOR_BIOMASS_QUEBEC, \
+  EMISSION_FACTOR_FUEL_OIL_QUEBEC, EMISSION_FACTOR_DIESEL_QUEBEC, NUMBER_OF_YEARS
+
+def _search_archetype(costs_catalog, building_function):
+  costs_archetypes = costs_catalog.entries('archetypes').archetypes
+  for building_archetype in costs_archetypes:
+    if str(building_function) == str(building_archetype.function):
+      return building_archetype
+  raise KeyError('archetype not found')
+
+catalog = CostCatalogFactory('montreal_custom').catalog
+
+for building in city.buildings:
+  building_heating_consumption = 1000
+  building_domestic_water_consumption = 1000
+  building_cooling_consumption = 1000
+  distribution_systems_electrical_consumption = 1000
+  lighting_electrical_demand = 1000
+  appliances_electrical_demand = 1000
+  rng = range(NUMBER_OF_YEARS)
+
+  function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
+  archetype = _search_archetype(catalog, function)
+
+  print('co2 for first building started')
+  if "gas" in building.energy_systems_archetype_name:
+    gas_consumption = building_heating_consumption + building_domestic_water_consumption
+    electricity_consumption = building_cooling_consumption + distribution_systems_electrical_consumption + \
+                              lighting_electrical_demand + appliances_electrical_demand
+    biomass_consumption = 0
+    fuel_oil_consumption = 0
+    diesel_consumption = 0
+  else:
+    gas_consumption = 0
+    electricity_consumption = building_heating_consumption + building_domestic_water_consumption + \
+                              building_cooling_consumption + distribution_systems_electrical_consumption + \
+                              lighting_electrical_demand + appliances_electrical_demand
+    biomass_consumption = 0
+    fuel_oil_consumption = 0
+    diesel_consumption = 0
+
+  CO2_emissions = pd.DataFrame(index=rng, columns=['CO2 emissions gas', 'CO2 emissions electricity',
+                                                   'CO2 Emissions biomass', 'CO2 emissions fueloil',
+                                                   'CO2 emissions diesel'], dtype='float')
+
+  for year in range(1, NUMBER_OF_YEARS+1):
+
+    CO2_emissions.at[year,'CO2 emissions gas'] = gas_consumption * EMISSION_FACTOR_GAS_QUEBEC
+    CO2_emissions.at[year, 'CO2 emissions electricity'] = electricity_consumption * EMISSION_FACTOR_ELECTRICITY_QUEBEC
+    CO2_emissions.at[year, 'CO2 emissions biomass'] = biomass_consumption * EMISSION_FACTOR_BIOMASS_QUEBEC
+    CO2_emissions.at[year, 'CO2 emissions fueloil'] = fuel_oil_consumption * EMISSION_FACTOR_FUEL_OIL_QUEBEC
+    CO2_emissions.at[year, 'CO2 emissions diesel'] = diesel_consumption * EMISSION_FACTOR_DIESEL_QUEBEC
+
+  CO2_emissions_total = CO2_emissions.sum()
+

costs/data/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore

costs/life_cycle_costs.py

@@ -0,0 +1,375 @@
+"""
+LifeCycleCosts module 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
+Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
+"""
+
+import math
+
+import pandas as pd
+import numpy_financial as npf
+import hub.helpers.constants as cte
+from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, PERCENTAGE_CREDIT,INTEREST_RATE,CREDIT_YEARS
+
+
+class LifeCycleCosts:
+  """
+  Life cycle cost class
+  """
+
+  def __init__(self, building, archetype, number_of_years, consumer_price_index, electricity_peak_index,
+               electricity_price_index, gas_price_index, discount_rate,
+               retrofitting_scenario, fuel_type):
+    self._building = building
+    self._number_of_years = number_of_years
+    self._consumer_price_index = consumer_price_index
+    self._electricity_peak_index = electricity_peak_index
+    self._electricity_price_index = electricity_price_index
+    self._gas_price_index = gas_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
+    self._fuel_type = fuel_type
+    for internal_zone in building.internal_zones:
+      for thermal_zone in internal_zone.thermal_zones:
+        self._total_floor_area += thermal_zone.total_floor_area
+
+    # todo: revise if it works
+    rng = range(number_of_years)
+    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'],
+                                              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',
+                                                                      'Fixed_costs_electricity_monthly',
+                                                                      'Variable_costs_electricity', 'Fixed_costs_gas',
+                                                                      'Variable_costs_gas'],
+                                                  dtype='float')
+    self._yearly_maintenance_costs = pd.DataFrame(index=rng, columns=['Heating_maintenance', 'Cooling_maintenance',
+                                                                      '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):
+    """
+    Calculate capital cost
+    :return: pd.DataFrame
+    """
+    building = self._building
+    archetype = self._archetype
+
+    surface_opaque = 0
+    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:
+      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
+    peak_heating = building.heating_peak_load[cte.YEAR][0]/1000
+    peak_cooling = building.cooling_peak_load[cte.YEAR][0]/1000
+    # todo: change area pv when the variable exists
+    roof_area = 0
+    for roof in building.roofs:
+      roof_area += roof.solid_polygon.area
+    surface_pv = roof_area * 0.5
+
+    self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = 0
+    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, 'D3020_heat_generating_systems'] = 0
+    self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = 0
+    self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = 0
+    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 (SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
+      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]
+
+
+      self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = capital_cost_opaque * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0]['B2020_transparent'] = capital_cost_transparent * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = capital_cost_roof * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground * (1-PERCENTAGE_CREDIT)
+
+
+    if self._retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
+      chapter = chapters.chapter('D_services')
+      capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
+      self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv
+      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 * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
+
+      self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = capital_cost_heating_equipment * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = capital_cost_cooling_equipment * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = capital_cost_distribution_equipment * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0, 'D3080_other_hvac_ahu'] = capital_cost_other_hvac_ahu * (1-PERCENTAGE_CREDIT)
+      self._yearly_capital_costs.loc[0, 'D5020_lighting_and_branch_wiring'] = capital_cost_lighting * (1-PERCENTAGE_CREDIT)
+
+    for year in range(1, self._number_of_years):
+      chapter = chapters.chapter('D_services')
+      costs_increase = math.pow(1 + self._consumer_price_index, year)
+      self._yearly_capital_costs.loc[year, 'B2010_opaque_walls'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                          capital_cost_opaque * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'B2020_transparent'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                          capital_cost_transparent * (PERCENTAGE_CREDIT)
+                                                                          )
+      self._yearly_capital_costs.loc[year, 'B3010_opaque_roof'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,capital_cost_roof
+                                                                          * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'B10_superstructure'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                             capital_cost_ground * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'D3020_heat_generating_systems'] = -npf.pmt(INTEREST_RATE,CREDIT_YEARS,
+                                                                                      capital_cost_heating_equipment
+                                                                                      * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'D3030_cooling_generation_systems'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                                      capital_cost_cooling_equipment
+                                                                                      * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'D3040_distribution_systems'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                                      capital_cost_distribution_equipment
+                                                                                      * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'D3080_other_hvac_ahu'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                                      capital_cost_other_hvac_ahu
+                                                                                      * (PERCENTAGE_CREDIT))
+      self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] = -npf.pmt(INTEREST_RATE, CREDIT_YEARS,
+                                                                                      capital_cost_lighting
+                                                                                      * (PERCENTAGE_CREDIT))
+      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
+
+      if self._retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
+        if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
+          self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] += surface_pv \
+                                                                                * chapter.item(
+            'D301010_photovoltaic_system').reposition[0] * costs_increase
+    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):
+    """
+    Calculate end of life costs
+    :return: pd.DataFrame
+    """
+    archetype = self._archetype
+    total_floor_area = self._total_floor_area
+
+    for year in range(1, self._number_of_years + 1):
+      price_increase = math.pow(1 + self._consumer_price_index, year)
+      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.fillna(0, inplace=True)
+    return self._yearly_end_of_life_costs
+
+  def calculate_total_floor_area(self):
+    total_floor_area = self._total_floor_area
+    return total_floor_area
+  @property
+  def calculate_total_operational_costs(self):
+    """
+    Calculate total operational costs
+    :return: pd.DataFrame
+    """
+    building = self._building
+    archetype = self._archetype
+    total_floor_area = self._total_floor_area
+    factor_residential = total_floor_area / 80
+    # todo: split the heating between fuels
+    fixed_gas_cost_year_0 = 0
+    variable_gas_cost_year_0 = 0
+    electricity_heating = 0
+    domestic_hot_water_electricity = 0
+    if self._fuel_type == 1:
+      fixed_gas_cost_year_0 = archetype.operational_cost.fuels[1].fixed_monthly * 12 * factor_residential
+      variable_gas_cost_year_0 = (
+          (building.heating_consumption[cte.YEAR][0] + building.domestic_hot_water_consumption[cte.YEAR][0]) / 1000 *
+          archetype.operational_cost.fuels[1].variable[0]
+      )
+    if self._fuel_type == 0:
+      electricity_heating = building.heating_consumption[cte.YEAR][0] / 1000
+      domestic_hot_water_electricity = building.domestic_hot_water_consumption[cte.YEAR][0] / 1000
+
+    electricity_cooling = building.cooling_consumption[cte.YEAR][0] / 1000
+    electricity_lighting = building.lighting_electrical_demand[cte.YEAR]['insel meb'] / 1000
+    electricity_plug_loads = building.appliances_electrical_demand[cte.YEAR]['insel meb'] / 1000
+    electricity_distribution = 0
+    total_electricity_consumption = (
+        electricity_heating + electricity_cooling + electricity_lighting + domestic_hot_water_electricity +
+        electricity_plug_loads + electricity_distribution
+    )
+    print(f'electricity consumption {total_electricity_consumption}')
+
+    # todo: change when peak electricity demand is coded. Careful with factor residential
+    peak_electricity_demand = 0.1*total_floor_area # self._peak_electricity_demand
+    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
+
+    for year in range(1, self._number_of_years + 1):
+      price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
+      price_increase_peak_electricity = math.pow(1 + self._electricity_peak_index, year)
+      price_increase_gas = math.pow(1 + self._gas_price_index, year)
+      self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_peak'] = (
+          peak_electricity_cost_year_0 * price_increase_peak_electricity
+      )
+
+      self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_monthly'] = (
+          monthly_electricity_cost_year_0 * price_increase_peak_electricity
+      )
+      self._yearly_operational_costs.at[year, 'Variable_costs_electricity'] = float(
+        variable_electricity_cost_year_0 * price_increase_electricity
+      )
+      self._yearly_operational_costs.at[year, 'Fixed_costs_gas'] = fixed_gas_cost_year_0 * price_increase_gas
+      self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = (
+          variable_gas_cost_year_0 * price_increase_peak_electricity
+      )
+      self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = (
+          variable_gas_cost_year_0 * price_increase_peak_electricity
+      )
+    self._yearly_operational_costs.fillna(0, inplace=True)
+
+    return self._yearly_operational_costs
+
+  def calculate_total_operational_incomes(self, retrofitting_scenario):
+    """
+    Calculate total operational incomes
+    :return: pd.DataFrame
+    """
+    building = self._building
+    if cte.YEAR not in building.onsite_electrical_production:
+      onsite_electricity_production = 0
+    else:
+      if retrofitting_scenario == 0 or retrofitting_scenario == 1:
+        onsite_electricity_production = 0
+      else:
+        onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]/1000
+
+    for year in range(1, self._number_of_years + 1):
+      price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
+      # todo: check the adequate assignation of price. Pilar
+      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
+
+  def calculate_total_maintenance_costs(self):
+    """
+    Calculate total maintenance costs
+    :return: pd.DataFrame
+    """
+    building = self._building
+    archetype = self._archetype
+    # todo: change area pv when the variable exists
+    roof_area = 0
+    for roof in building.roofs:
+      roof_area += roof.solid_polygon.area
+    surface_pv = roof_area * 0.5
+
+    peak_heating = building.heating_peak_load[cte.YEAR][0]/1000
+    peak_cooling = building.heating_peak_load[cte.YEAR][0]/1000
+
+    maintenance_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating
+    maintenance_cooling_0 = peak_cooling * archetype.operational_cost.maintenance_cooling
+    maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
+
+    for year in range(1, self._number_of_years + 1):
+      costs_increase = math.pow(1 + self._consumer_price_index, year)
+      self._yearly_maintenance_costs.loc[year, 'Heating_maintenance'] = (
+          maintenance_heating_0 * costs_increase
+      )
+      self._yearly_maintenance_costs.loc[year, 'Cooling_maintenance'] = (
+          maintenance_cooling_0 * costs_increase
+      )
+      self._yearly_maintenance_costs.loc[year, 'PV_maintenance'] = (
+          maintenance_pv_0 * costs_increase
+      )
+    self._yearly_maintenance_costs.fillna(0, inplace=True)
+    return self._yearly_maintenance_costs

costs/outputs/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore

costs/printing_results.py

@@ -0,0 +1,58 @@
+import plotly.graph_objects as go
+import matplotlib.pyplot as plt
+import plotly.express as px
+
+
+def printing_results(investmentcosts, life_cycle_results,total_floor_area):
+
+  labels = investmentcosts.index
+  values = investmentcosts['retrofitting_scenario_1']
+  values2 = investmentcosts['retrofitting_scenario_2']
+  values3 = investmentcosts['retrofitting_scenario_3']
+
+  fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
+  fig2 = go.Figure(data=[go.Pie(labels=labels, values=values2)])
+  fig3 = go.Figure(data=[go.Pie(labels=labels, values=values3)])
+  # Set the layout properties
+  fig.update_layout(
+    title='Retrofitting scenario 1',
+    showlegend=True
+  )
+  fig2.update_layout(
+    title='Retrofitting scenario 2',
+    showlegend=True
+  )
+  fig3.update_layout(
+    title='Retrofitting scenario 3',
+    showlegend=True
+  )
+
+  # Display the chart
+  fig.show()
+  fig2.show()
+  fig3.show()
+
+  df = life_cycle_results / total_floor_area
+
+  # Transpose the DataFrame (swap columns and rows)
+  df_swapped = df.transpose()
+
+  # Reset the index to make the current index a regular column
+  df_swapped = df_swapped.reset_index()
+
+  # Assign new column names
+  df_swapped.columns = ['Scenarios', 'total_capital_costs_skin',
+                        'total_capital_costs_systems',
+                        'end_of_life_costs',
+                        'total_operational_costs',
+                        'total_maintenance_costs',
+                        'operational_incomes',
+                        'capital_incomes']
+
+  df_swapped.index = df_swapped['Scenarios']
+  df_swapped = df_swapped.drop('Scenarios', axis=1)
+  print(df_swapped)
+  fig = px.bar(df_swapped, title='Life Cycle Costs for buildings')
+  fig.show()
+  # Display the chart
+  plt.show()

costs/tmp/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this file
+!.gitignore

data/FZK_Haus_LoD_0.gml

@@ -1,80 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><!-- Generated by:                                    --><!-- IFC -> cityGML Converter                         --><!-- (C) - Institute for Applied Computer Science     --><!-- Forschungszentrum Karlsruhe                      --><!-- Not for commercial use                           --><!-- Generated by: IfcExplorer--><!-- cityGML Schema: 1.0.0                            --><!-- Level of Detail 1--><!-- Creation Date: Tuesday, 23 November 2010 - 10:37:59--><!-- Edited Manually in Oxygen 8.2 --><!-- Modified by GMLOffset.xslt at Mon Dec 6 2010 --><!-- Version 2 Building located in the area of KIT Campus North)--><!-- Modified by GMLOffset.xslt at Wed Dec 8 2010 --><!-- Modified by GMLOffset.xslt at Wed Mar 29 2017 --><core:CityModel xsi:schemaLocation="http://www.opengis.net/citygml/2.0 http://schemas.opengis.net/citygml/2.0/cityGMLBase.xsd  http://www.opengis.net/citygml/appearance/2.0 http://schemas.opengis.net/citygml/appearance/2.0/appearance.xsd http://www.opengis.net/citygml/building/2.0 http://schemas.opengis.net/citygml/building/2.0/building.xsd http://www.opengis.net/citygml/generics/2.0 http://schemas.opengis.net/citygml/generics/2.0/generics.xsd" xmlns:core="http://www.opengis.net/citygml/2.0" xmlns="http://www.opengis.net/citygml/profiles/base/2.0" xmlns:bldg="http://www.opengis.net/citygml/building/2.0" xmlns:gen="http://www.opengis.net/citygml/generics/2.0" xmlns:grp="http://www.opengis.net/citygml/cityobjectgroup/2.0" xmlns:app="http://www.opengis.net/citygml/appearance/2.0" xmlns:gml="http://www.opengis.net/gml" xmlns:xAL="urn:oasis:names:tc:ciq:xsdschema:xAL:2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
-  <!-- Manually edited by KHH 23.01.2017, Address added, roof edge added -->
-  <gml:name>AC14-FZK-Haus</gml:name>
-  <gml:boundedBy>
-    <gml:Envelope srsDimension="3" srsName="urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH">
-      <gml:lowerCorner srsDimension="3">457842 5439083 111.8 </gml:lowerCorner>
-      <gml:upperCorner srsDimension="3">457854 5439093 118.317669 </gml:upperCorner>
-    </gml:Envelope>
-  </gml:boundedBy>
-  <core:cityObjectMember>
-    <bldg:Building gml:id="UUID_d281adfc-4901-0f52-540b-4cc1a9325f82">
-      <gml:description>FZK-Haus (Forschungszentrum Karlsruhe, now KIT), created by Karl-Heinz
-        Haefele </gml:description>
-      <gml:name>AC14-FZK-Haus</gml:name>
-      <core:creationDate>2017-01-23</core:creationDate>
-      <core:relativeToTerrain>entirelyAboveTerrain</core:relativeToTerrain>
-      <gen:measureAttribute name="GrossPlannedArea">
-        <gen:value uom="m2">120.00</gen:value>
-      </gen:measureAttribute>
-      <gen:stringAttribute name="ConstructionMethod">
-        <gen:value>New Building</gen:value>
-      </gen:stringAttribute>
-      <gen:stringAttribute name="IsLandmarked">
-        <gen:value>NO</gen:value>
-      </gen:stringAttribute>
-      <bldg:class codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_class.xml">1000</bldg:class>
-      <bldg:function codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_function.xml">1000</bldg:function>
-      <bldg:usage codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_usage.xml">1000</bldg:usage>
-      <bldg:yearOfConstruction>2020</bldg:yearOfConstruction>
-      <bldg:roofType codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_roofType.xml">1030</bldg:roofType>
-      <bldg:measuredHeight uom="m">6.52</bldg:measuredHeight>
-      <bldg:storeysAboveGround>2</bldg:storeysAboveGround>
-      <bldg:storeysBelowGround>0</bldg:storeysBelowGround>
-      <bldg:lod0FootPrint>
-        <gml:MultiSurface>
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-            <gml:Polygon>
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-                  <gml:posList srsDimension="3">457842 5439083 111.8 457842 5439093 111.8 457854 5439093 111.8 457854 5439083 111.8 457842 5439083 111.8 </gml:posList>
-                </gml:LinearRing>
-              </gml:exterior>
-            </gml:Polygon>
-          </gml:surfaceMember>
-        </gml:MultiSurface>
-      </bldg:lod0FootPrint>
-      <bldg:lod0RoofEdge>
-        <gml:MultiSurface>
-          <gml:surfaceMember>
-            <gml:Polygon>
-              <gml:exterior>
-                <gml:LinearRing>
-                  <gml:posList srsDimension="3">457841.5 5439082.5 111.8 457841.5 5439093.5 111.8 457854.5 5439093.5 111.8 457854.5 5439082.5 111.8 457841.5 5439082.5 111.8 </gml:posList>
-                </gml:LinearRing>
-              </gml:exterior>
-            </gml:Polygon>
-          </gml:surfaceMember>
-        </gml:MultiSurface>
-      </bldg:lod0RoofEdge>
-      <bldg:address>
-        <core:Address>
-          <core:xalAddress>
-            <xAL:AddressDetails>
-              <xAL:Locality Type="Town">
-                <xAL:LocalityName>Eggenstein-Leopoldshafen</xAL:LocalityName>
-                <xAL:Thoroughfare Type="Street">
-                  <xAL:ThoroughfareNumber>4711</xAL:ThoroughfareNumber>
-                  <xAL:ThoroughfareName>Spöcker Straße</xAL:ThoroughfareName>
-                </xAL:Thoroughfare>
-                <xAL:PostalCode>
-                  <xAL:PostalCodeNumber>76344</xAL:PostalCodeNumber>
-                </xAL:PostalCode>
-              </xAL:Locality>
-            </xAL:AddressDetails>
-          </core:xalAddress>
-        </core:Address>
-      </bldg:address>
-    </bldg:Building>
-  </core:cityObjectMember>
-</core:CityModel>

data/FZK_Haus_LoD_1.gml

@@ -1,116 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><!-- Generated by:                                    --><!-- IFC -> cityGML Converter                         --><!-- (C) - Institute for Applied Computer Science     --><!-- Forschungszentrum Karlsruhe                      --><!-- Not for commercial use                           --><!-- Generated by: IfcExplorer--><!-- cityGML Schema: 1.0.0                            --><!-- Level of Detail 1--><!-- Creation Date: Tuesday, 23 November 2010 - 10:37:59--><!-- Edited Manually in Oxygen 8.2 --><!-- Modified by GMLOffset.xslt at Mon Dec 6 2010 --><!-- Version 2 Building located in the area of KIT Campus North)--><!-- Modified by GMLOffset.xslt at Wed Dec 8 2010 --><!-- Modified by GMLOffset.xslt at Wed Mar 29 2017 --><core:CityModel xsi:schemaLocation="http://www.opengis.net/citygml/2.0 http://schemas.opengis.net/citygml/2.0/cityGMLBase.xsd  http://www.opengis.net/citygml/appearance/2.0 http://schemas.opengis.net/citygml/appearance/2.0/appearance.xsd http://www.opengis.net/citygml/building/2.0 http://schemas.opengis.net/citygml/building/2.0/building.xsd http://www.opengis.net/citygml/generics/2.0 http://schemas.opengis.net/citygml/generics/2.0/generics.xsd" xmlns:core="http://www.opengis.net/citygml/2.0" xmlns="http://www.opengis.net/citygml/profiles/base/2.0" xmlns:bldg="http://www.opengis.net/citygml/building/2.0" xmlns:gen="http://www.opengis.net/citygml/generics/2.0" xmlns:grp="http://www.opengis.net/citygml/cityobjectgroup/2.0" xmlns:app="http://www.opengis.net/citygml/appearance/2.0" xmlns:gml="http://www.opengis.net/gml" xmlns:xAL="urn:oasis:names:tc:ciq:xsdschema:xAL:2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
-  <!-- Manually edited by KHH 23.01.2017, CityGML 2.0, Address added, roof edge added -->
-  <gml:name>AC14-FZK-Haus</gml:name>
-  <gml:boundedBy>
-    <gml:Envelope srsDimension="3" srsName="urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH">
-      <gml:lowerCorner srsDimension="3">457842 5439083 111.8 </gml:lowerCorner>
-      <gml:upperCorner srsDimension="3">457854 5439093 118.317669 </gml:upperCorner>
-    </gml:Envelope>
-  </gml:boundedBy>
-  <core:cityObjectMember>
-    <bldg:Building gml:id="UUID_d281adfc-4901-0f52-540b-4cc1a9325f82">
-      <gml:description>FZK-Haus (Forschungszentrum Karlsruhe, now KIT), created by Karl-Heinz
-        Haefele </gml:description>
-      <gml:name>AC14-FZK-Haus</gml:name>
-      <core:creationDate>2017-01-23</core:creationDate>
-      <core:relativeToTerrain>entirelyAboveTerrain</core:relativeToTerrain>
-      <gen:measureAttribute name="GrossPlannedArea">
-        <gen:value uom="m2">120.00</gen:value>
-      </gen:measureAttribute>
-      <gen:stringAttribute name="ConstructionMethod">
-        <gen:value>New Building</gen:value>
-      </gen:stringAttribute>
-      <gen:stringAttribute name="IsLandmarked">
-        <gen:value>NO</gen:value>
-      </gen:stringAttribute>
-      <bldg:class codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_class.xml">1000</bldg:class>
-      <bldg:function codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_function.xml">1000</bldg:function>
-      <bldg:usage codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_usage.xml">1000</bldg:usage>
-      <bldg:yearOfConstruction>2020</bldg:yearOfConstruction>
-      <bldg:roofType codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_roofType.xml">1030</bldg:roofType>
-      <bldg:measuredHeight uom="m">6.52</bldg:measuredHeight>
-      <bldg:storeysAboveGround>2</bldg:storeysAboveGround>
-      <bldg:storeysBelowGround>0</bldg:storeysBelowGround>
-      <bldg:lod1Solid>
-        <gml:Solid>
-          <gml:exterior>
-            <gml:CompositeSurface>
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-                    </gml:LinearRing>
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-                  <gml:exterior>
-                    <gml:LinearRing>
-                      <gml:posList srsDimension="3">457842 5439083 118.31769 457854 5439083 118.31769 457854 5439093 118.31769 457842 5439093 118.31769 457842 5439083 118.31769 </gml:posList>
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-              <gml:surfaceMember>
-                <gml:Polygon>
-                  <gml:exterior>
-                    <gml:LinearRing>
-                      <gml:posList srsDimension="3">457842 5439083 111.8 457842 5439083 118.31769 457842 5439093 118.31769 457842 5439093 111.8 457842 5439083 111.8 </gml:posList>
-                    </gml:LinearRing>
-                  </gml:exterior>
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-              <gml:surfaceMember>
-                <gml:Polygon>
-                  <gml:exterior>
-                    <gml:LinearRing>
-                      <gml:posList srsDimension="3">457842 5439093 111.8 457842 5439093 118.31769 457854 5439093 118.31769 457854 5439093 111.8 457842 5439093 111.8 </gml:posList>
-                    </gml:LinearRing>
-                  </gml:exterior>
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-              </gml:surfaceMember>
-              <gml:surfaceMember>
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-                  <gml:exterior>
-                    <gml:LinearRing>
-                      <gml:posList srsDimension="3">457854 5439093 111.8 457854 5439093 118.31769 457854 5439083 118.31769 457854 5439083 111.8 457854 5439093 111.8 </gml:posList>
-                    </gml:LinearRing>
-                  </gml:exterior>
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-              </gml:surfaceMember>
-              <gml:surfaceMember>
-                <gml:Polygon>
-                  <gml:exterior>
-                    <gml:LinearRing>
-                      <gml:posList srsDimension="3">457854 5439083 111.8 457854 5439083 118.31769 457842 5439083 118.31769 457842 5439083 111.8 457854 5439083 111.8 </gml:posList>
-                    </gml:LinearRing>
-                  </gml:exterior>
-                </gml:Polygon>
-              </gml:surfaceMember>
-            </gml:CompositeSurface>
-          </gml:exterior>
-        </gml:Solid>
-      </bldg:lod1Solid>
-      <bldg:address>
-        <core:Address>
-          <core:xalAddress>
-            <xAL:AddressDetails>
-              <xAL:Locality Type="Town">
-                <xAL:LocalityName>Eggenstein-Leopoldshafen</xAL:LocalityName>
-                <xAL:Thoroughfare Type="Street">
-                  <xAL:ThoroughfareNumber>4711</xAL:ThoroughfareNumber>
-                  <xAL:ThoroughfareName>Spöcker Straße</xAL:ThoroughfareName>
-                </xAL:Thoroughfare>
-                <xAL:PostalCode>
-                  <xAL:PostalCodeNumber>76344</xAL:PostalCodeNumber>
-                </xAL:PostalCode>
-              </xAL:Locality>
-            </xAL:AddressDetails>
-          </core:xalAddress>
-        </core:Address>
-      </bldg:address>
-    </bldg:Building>
-  </core:cityObjectMember>
-</core:CityModel>

data/FZK_Haus_LoD_2.gml

@@ -1,240 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><!-- IFC to CityGML by IFCExplorer KIT --><!-- CityGML to Sketchup by  Sketchup CityGML Plugin FH GelsenKirchen --><!--CityGML Dataset produced with CityGML Export Plugin for Sketchup by GeoRES --><!--http://www.geores.de --><!-- Edited Manually in Oxygen 8.2 --><!-- Modified by GMLOffset.xslt at Mon Dec 6 2010 --><!-- Version 2 Building located in the area of KIT Campus North)--><!-- Modified by GMLOffset.xslt at Wed Dec 8 2010 --><!-- Modified by GMLOffset.xslt at Wed Mar 29 2017 --><core:CityModel xsi:schemaLocation="http://www.opengis.net/citygml/2.0 http://schemas.opengis.net/citygml/2.0/cityGMLBase.xsd  http://www.opengis.net/citygml/appearance/2.0 http://schemas.opengis.net/citygml/appearance/2.0/appearance.xsd http://www.opengis.net/citygml/building/2.0 http://schemas.opengis.net/citygml/building/2.0/building.xsd http://www.opengis.net/citygml/generics/2.0 http://schemas.opengis.net/citygml/generics/2.0/generics.xsd" xmlns:core="http://www.opengis.net/citygml/2.0" xmlns="http://www.opengis.net/citygml/profiles/base/2.0" xmlns:bldg="http://www.opengis.net/citygml/building/2.0" xmlns:gen="http://www.opengis.net/citygml/generics/2.0" xmlns:grp="http://www.opengis.net/citygml/cityobjectgroup/2.0" xmlns:app="http://www.opengis.net/citygml/appearance/2.0" xmlns:gml="http://www.opengis.net/gml" xmlns:xAL="urn:oasis:names:tc:ciq:xsdschema:xAL:2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
-    <!-- Manually edited by KHH 23.01.2017, CityGML 2.0, Address added, Codespaces added -->
-    <gml:name>AC14-FZK-Haus</gml:name>
-    <gml:boundedBy>
-        <gml:Envelope srsDimension="3" srsName="urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH">
-            <gml:lowerCorner srsDimension="3">457842 5439083 111.8 </gml:lowerCorner>
-            <gml:upperCorner srsDimension="3">457854 5439093 118.317669 </gml:upperCorner>
-        </gml:Envelope>
-    </gml:boundedBy> 
-    <core:cityObjectMember>
-        <bldg:Building gml:id="UUID_d281adfc-4901-0f52-540b-4cc1a9325f82">
-            <gml:description>FZK-Haus (Forschungszentrum Karlsruhe, now KIT), created by Karl-Heinz
-                Haefele </gml:description>
-            <gml:name>AC14-FZK-Haus</gml:name>
-            <core:creationDate>2017-01-23</core:creationDate>
-            <core:relativeToTerrain>entirelyAboveTerrain</core:relativeToTerrain>
-            <gen:measureAttribute name="GrossPlannedArea">
-                <gen:value uom="m2">120.00</gen:value>
-            </gen:measureAttribute>
-            <gen:stringAttribute name="ConstructionMethod">
-                <gen:value>New Building</gen:value>
-            </gen:stringAttribute>
-            <gen:stringAttribute name="IsLandmarked">
-                <gen:value>NO</gen:value>
-            </gen:stringAttribute>
-            <bldg:class codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_class.xml">1000</bldg:class>
-            <bldg:function codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_function.xml">1000</bldg:function>
-            <bldg:usage codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_usage.xml">1000</bldg:usage>
-            <bldg:yearOfConstruction>2020</bldg:yearOfConstruction>
-            <bldg:roofType codeSpace="http://www.sig3d.org/codelists/citygml/2.0/building/2.0/_AbstractBuilding_roofType.xml">1030</bldg:roofType>
-            <bldg:measuredHeight uom="m">6.52</bldg:measuredHeight>
-            <bldg:storeysAboveGround>2</bldg:storeysAboveGround>
-            <bldg:storeysBelowGround>0</bldg:storeysBelowGround>
-            <bldg:lod2Solid>
-                <gml:Solid>
-                    <gml:exterior>
-                        <gml:CompositeSurface>
-                            <!--Outer Wall 1 (West)  -->
-                            <gml:surfaceMember xlink:href="#PolyID7350_878_759628_120742"> </gml:surfaceMember>
-                            <!--Outer Wall 1 (West)  -->
-                            <!--Outer Wall 2 (South)  -->
-                            <gml:surfaceMember xlink:href="#PolyID7351_1722_416019_316876" />
-                            <!--Outer Wall 2 (South)  -->
-                            <!--Outer Wall 3 (East)  -->
-                            <gml:surfaceMember xlink:href="#PolyID7352_230_209861_355851" />
-                            <!--Outer Wall 3 (East)  -->
-                            <!--Roof 1 (North)  -->
-                            <gml:surfaceMember xlink:href="#PolyID7353_166_774155_320806" />
-                            <!--Roof 1 (North)  -->
-                            <!--Outer Wall 4 (North)  -->
-                            <gml:surfaceMember xlink:href="#PolyID7354_1362_450904_410226" />
-                            <!--Outer Wall 2 (North)  -->
-                            <!--Roof 2 (South)  -->
-                            <gml:surfaceMember xlink:href="#PolyID7355_537_416207_260034" />
-                            <!--Roof 2 (South)  -->
-                            <!--Base Surface  -->
-                            <gml:surfaceMember xlink:href="#PolyID7356_612_880782_415367" />
-                            <!--Base Surface  -->
-                        </gml:CompositeSurface>
-                    </gml:exterior>
-                </gml:Solid>
-            </bldg:lod2Solid>
-            <bldg:boundedBy>
-                <bldg:WallSurface gml:id="GML_5856d7ad-5e34-498a-817b-9544bfbb1475">
-                    <gml:name>Outer Wall 1 (West)</gml:name>
-                    <bldg:lod2MultiSurface>
-                        <gml:MultiSurface>
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-                                <gml:Polygon gml:id="PolyID7350_878_759628_120742">
-                                    <gml:exterior>
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-                                            <gml:pos>457842 5439093 111.8 </gml:pos>
-                                            <gml:pos>457842 5439083 111.8 </gml:pos>
-                                            <gml:pos>457842 5439083 115.430940107676 </gml:pos>
-                                            <gml:pos>457842 5439088 118.317691453624 </gml:pos>
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-                </bldg:WallSurface>
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-            <bldg:boundedBy>
-                <bldg:WallSurface gml:id="GML_d38cf762-c29d-4491-88c9-bdc89e141978">
-                    <gml:name>Outer Wall 2 (South)</gml:name>
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-                                <gml:Polygon gml:id="PolyID7351_1722_416019_316876">
-                                    <gml:exterior>
-                                        <gml:LinearRing gml:id="PolyID7351_1722_416019_316876_0">
-                                            <gml:pos>457854 5439083 115.430940107676 </gml:pos>
-                                            <gml:pos>457842 5439083 115.430940107676 </gml:pos>
-                                            <gml:pos>457842 5439083 111.8 </gml:pos>
-                                            <gml:pos>457854 5439083 111.8 </gml:pos>
-                                            <gml:pos>457854 5439083 115.430940107676 </gml:pos>
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-                                            <gml:pos>457854 5439093 111.8 </gml:pos>
-                                            <gml:pos>457854 5439093 115.430940107676 </gml:pos>
-                                            <gml:pos>457854 5439088 118.317691453624 </gml:pos>
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-                            </gml:surfaceMember>
-                        </gml:MultiSurface>
-                    </bldg:lod2MultiSurface>
-                </bldg:WallSurface>
-            </bldg:boundedBy>
-            <bldg:boundedBy>
-                <bldg:RoofSurface gml:id="GML_875d470b-32b4-4985-a4c8-0f02caa342a2">
-                    <gml:name>Roof 1 (North)</gml:name>
-                    <bldg:lod2MultiSurface>
-                        <gml:MultiSurface>
-                            <gml:surfaceMember>
-                                <gml:Polygon gml:id="PolyID7353_166_774155_320806">
-                                    <gml:exterior>
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-                                            <gml:pos>457842 5439088 118.317691453624 </gml:pos>
-                                            <gml:pos>457854 5439088 118.317691453624 </gml:pos>
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-                                            <gml:pos>457842 5439093 115.430940107676 </gml:pos>
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-                        </gml:MultiSurface>
-                    </bldg:lod2MultiSurface>
-                </bldg:RoofSurface>
-            </bldg:boundedBy>
-            <bldg:boundedBy>
-                <bldg:WallSurface gml:id="GML_0f30f604-e70d-4dfe-ba35-853bc69609cc">
-                    <gml:name>Outer Wall 4 (North)</gml:name>
-                    <bldg:lod2MultiSurface>
-                        <gml:MultiSurface>
-                            <gml:surfaceMember>
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-                <bldg:RoofSurface gml:id="GML_eeb6796a-e261-4d3b-a6f2-475940cca80a">
-                    <gml:name>Roof 2 (South)</gml:name>
-                    <bldg:lod2MultiSurface>
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-            <bldg:boundedBy>
-                <bldg:GroundSurface gml:id="GML_257a8dde-8194-4ca3-b581-abd591dcd6a3">
-                    <gml:description>Bodenplatte</gml:description>
-                    <gml:name>Base Surface</gml:name>
-                    <bldg:lod2MultiSurface>
-                        <gml:MultiSurface>
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-                        </gml:MultiSurface>
-                    </bldg:lod2MultiSurface>
-                </bldg:GroundSurface>
-            </bldg:boundedBy>
-            <bldg:address>
-                <core:Address>
-                    <core:xalAddress>
-                        <xAL:AddressDetails>
-                            <xAL:Locality Type="Town">
-                                <xAL:LocalityName>Eggenstein-Leopoldshafen</xAL:LocalityName>
-                                <xAL:Thoroughfare Type="Street">
-                                    <xAL:ThoroughfareNumber>4711</xAL:ThoroughfareNumber>
-                                    <xAL:ThoroughfareName>Spöcker Straße</xAL:ThoroughfareName>
-                                </xAL:Thoroughfare>
-                                <xAL:PostalCode>
-                                    <xAL:PostalCodeNumber>76344</xAL:PostalCodeNumber>
-                                </xAL:PostalCode>
-                            </xAL:Locality>
-                        </xAL:AddressDetails>
-                    </core:xalAddress>
-                </core:Address>
-            </bldg:address>
-        </bldg:Building>
-    </core:cityObjectMember>
-</core:CityModel>

data/costs.xml

@@ -1,108 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<cost_catalogs>
-    <cost_catalog function="residential" municipality="montreal" id="1" currency="CAD">
-        <capital_cost>
-            <structural_cost cost_unit="currency/m3">     56          </structural_cost>
-            <sub_structural_cost cost_unit="currency/m2">     9.8      </sub_structural_cost>
-            <envelop_cost>
-                <opaque_cost>
-                    <reposition cost_unit="currency/m2">           43.4     </reposition>
-                    <initial_investment cost_unit="currency/m2">    36    </initial_investment>
-                </opaque_cost>
-                <transparent_cost>
-                    <reposition cost_unit="currency/m2">         78       </reposition>
-                    <initial_investment cost_unit="currency/m2">  984.5      </initial_investment>
-                </transparent_cost>
-            </envelop_cost>
-            <system_cost>
-                <hvac_cost> 
-                    <heating_load_cost>
-                        <reposition cost_unit="currency/kw">       7839         </reposition>
-                        <initial_investment cost_unit="currency/kw">  363.5      </initial_investment>
-                    </heating_load_cost>
-                    <cooling_load_cost>
-                        <reposition cost_unit="currency/kw">       7839         </reposition>
-                        <initial_investment cost_unit="currency/kw">  363.5      </initial_investment>
-                    </cooling_load_cost>
-                </hvac_cost>
-                <rest_cost>
-                    <reposition cost_unit="currency/m2">         1       </reposition>
-                    <initial_investment cost_unit="currency/m2">   365     </initial_investment>
-                </rest_cost>
-                <pv_cost>
-                    <reposition cost_unit="currency/m2">       98.98         </reposition>
-                    <initial_investment cost_unit="currency/m2">    17    </initial_investment>
-                </pv_cost>
-            </system_cost>
-            <lighting_cost cost_unit="currency/m2">           36      </lighting_cost>
-            <surface_finish_cost cost_unit="currency/m2">   88        </surface_finish_cost>
-            <engineer_cost cost_unit="%">       2.5         </engineer_cost>
-            <subsidy>
-                <construction_subsidy cost_unit="%">  2    </construction_subsidy>
-                <hvac_subsidy cost_unit="%">       1.5       </hvac_subsidy>
-                <pv_subsidy cost_unit="%">        3.6        </pv_subsidy>
-            </subsidy>
-        </capital_cost>
-        <operational_cost fuel_type="electricity">
-            <fuel_operational_cost cost_unit="currency/kwh">      5.6       </fuel_operational_cost>
-            <maintenance_cost>
-                <systems_maintenance_cost cost_unit="currency/m2">  4.6    </systems_maintenance_cost>
-                <pv_maintenance_cost cost_unit="currency/m2">      888.9     </pv_maintenance_cost>
-            </maintenance_cost>
-            <peak_power_cost cost_unit="currency/kw">         0.80          </peak_power_cost>
-            <energy_exports cost_unit="currency/kwh">     0              </energy_exports>
-        </operational_cost>
-        <end_of_life_cost cost_unit="currency/m2">           6.3           </end_of_life_cost>
-    </cost_catalog>
-    <cost_catalog function="business" municipality="laval" id="2" currency="CAD">
-        <capital_cost>
-            <structural_cost cost_unit="currency/m3">     56          </structural_cost>
-            <sub_structural_cost cost_unit="currency/m2">     9.8      </sub_structural_cost>
-            <envelop_cost>
-                <opaque_cost>
-                    <reposition cost_unit="currency/m2">           43.4     </reposition>
-                    <initial_investment cost_unit="currency/m2">    36    </initial_investment>
-                </opaque_cost>
-                <transparent_cost>
-                    <reposition cost_unit="currency/m2">         78       </reposition>
-                    <initial_investment cost_unit="currency/m2">  984.5      </initial_investment>
-                </transparent_cost>
-            </envelop_cost>
-            <system_cost>
-                <hvac_cost> 
-                    <reposition cost_unit="currency/kw">       7839         </reposition>
-                    <initial_investment cost_unit="currency/kw">  363.5      </initial_investment>
-                </hvac_cost>
-                <rest_cost>
-                    <reposition cost_unit="currency/m2">         1       </reposition>
-                    <initial_investment cost_unit="currency/m2">   365     </initial_investment>
-                </rest_cost>
-                <pv_cost>
-                    <reposition cost_unit="currency/m2">       98.7         </reposition>
-                    <initial_investment cost_unit="currency/m2">    17    </initial_investment>
-                </pv_cost>
-            </system_cost>
-            <lighting_cost cost_unit="currency/m2">           36      </lighting_cost>
-            <surface_finish_cost cost_unit="currency/m2">   88        </surface_finish_cost>
-            <engineer_cost cost_unit="%">       5          </engineer_cost>
-            <subsidy>
-                <construction_subsidy cost_unit="%">  2    </construction_subsidy>
-                <hvac_subsidy cost_unit="%">       1.5       </hvac_subsidy>
-                <pv_subsidy cost_unit="%">        3.6        </pv_subsidy>
-            </subsidy>
-        </capital_cost>
-        <operational_cost fuel_type="electricity">
-            <fuel_operational_cost cost_unit="currency/kw">      5.6       </fuel_operational_cost>
-            <maintenance_cost>
-                <systems_maintenance_cost cost_unit="currency/m2">  4.6    </systems_maintenance_cost>
-                <pv_maintenance_cost cost_unit="currency/m2">      888.9     </pv_maintenance_cost>
-            </maintenance_cost>
-            <peak_power_cost cost_unit="currency/kw">         0.54          </peak_power_cost>
-            <energy_exports cost_unit="currency/kw">     15.3               </energy_exports>
-        </operational_cost>
-        <end_of_life_cost cost_unit="currency/m2">           4.0           </end_of_life_cost>
-    </cost_catalog>
-
-</cost_catalogs>
-
-

data/one_building_in_kelowna_alkis.gml

@@ -1,409 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<core:CityModel xmlns:brid="http://www.opengis.net/citygml/bridge/2.0" xmlns:tran="http://www.opengis.net/citygml/transportation/2.0" xmlns:frn="http://www.opengis.net/citygml/cityfurniture/2.0" xmlns:wtr="http://www.opengis.net/citygml/waterbody/2.0" xmlns:sch="http://www.ascc.net/xml/schematron" xmlns:veg="http://www.opengis.net/citygml/vegetation/2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:tun="http://www.opengis.net/citygml/tunnel/2.0" xmlns:tex="http://www.opengis.net/citygml/texturedsurface/2.0" xmlns:gml="http://www.opengis.net/gml" xmlns:gen="http://www.opengis.net/citygml/generics/2.0" xmlns:dem="http://www.opengis.net/citygml/relief/2.0" xmlns:app="http://www.opengis.net/citygml/appearance/2.0" xmlns:luse="http://www.opengis.net/citygml/landuse/2.0" xmlns:xAL="urn:oasis:names:tc:ciq:xsdschema:xAL:2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:smil20lang="http://www.w3.org/2001/SMIL20/Language" xmlns:pbase="http://www.opengis.net/citygml/profiles/base/2.0" xmlns:smil20="http://www.w3.org/2001/SMIL20/" xmlns:bldg="http://www.opengis.net/citygml/building/2.0" xmlns:core="http://www.opengis.net/citygml/2.0" xmlns:grp="http://www.opengis.net/citygml/cityobjectgroup/2.0">
-<gml:boundedBy>
-<gml:Envelope srsName="EPSG:26911" srsDimension="3">
-<gml:lowerCorner>326011.03601000085 5526048.416990001 -1.6000000000058208</gml:lowerCorner>
-<gml:upperCorner>329466.6600299999 5529018.72205 9.80000000000291</gml:upperCorner>
-</gml:Envelope>
-</gml:boundedBy>
-<core:cityObjectMember>
-<bldg:Building gml:id="BLD109438">
-<gen:doubleAttribute name="gross_floor_area">
-<gen:value>291</gen:value>
-</gen:doubleAttribute>
-<gen:stringAttribute name="gross_floor_raea_unit">
-<gen:value>m2</gen:value>
-</gen:stringAttribute>
-<bldg:yearOfConstruction>1996</bldg:yearOfConstruction>
-<bldg:function>residential</bldg:function>			
-<bldg:measuredHeight>5.3</bldg:measuredHeight>
-<bldg:storeysAboveGround>1</bldg:storeysAboveGround>
-<bldg:lod2Solid>
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data/pluto_building.gml

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input_files/selected_building_2864.geojson

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+            [
+              -73.57945149010348,
+              45.49793915473101
+            ]
+          ]
+        ]
+      },
+      "properties": {
+        "OBJECTID_12": 12,
+        "gml_id": 1340982,
+        "gml_parent": "fme-gen-5fa2a82b-c38e-4bf0-9e8f-10a47b9f64f7",
+        "citygml_ta": "http://www.opengis.net/citygml/building/2.0",
+        "citygml_fe": "cityObjectMember",
+        "citygml__1": " ",
+        "citygml__2": " ",
+        "gml_descri": " ",
+        "gml_name": " ",
+        "citygml_cr": " ",
+        "citygml_te": " ",
+        "externalRe": " ",
+        "external_1": " ",
+        "external_2": " ",
+        "citygml_ge": " ",
+        "citygml_re": " ",
+        "citygml__3": " ",
+        "citygml_ap": " ",
+        "citygml_cl": " ",
+        "citygml__4": " ",
+        "citygml_fu": " ",
+        "citygml__5": " ",
+        "citygml_us": " ",
+        "citygml__6": " ",
+        "citygml_ye": " ",
+        "citygml__7": " ",
+        "citygml_ro": " ",
+        "citygml__8": " ",
+        "citygml_me": 19.113,
+        "citygml__9": "#m",
+        "citygml_st": " ",
+        "citygml_10": " ",
+        "citygml_11": " ",
+        "citygml_12": " ",
+        "citygml_13": " ",
+        "citygml_14": " ",
+        "citygml_ou": " ",
+        "citygml_in": " ",
+        "citygml_bo": " ",
+        "citygml_le": " ",
+        "citygml_15": " ",
+        "citygml_co": " ",
+        "citygml_ad": " ",
+        "Volume": "2931.350",
+        "parcelle": " ",
+        "OBJECTID": 1056,
+        "gml_id_1": "384b2b1c-2e25-4f6a-b082-d272dba3453f",
+        "gml_pare_1": 1340982,
+        "citygml_16": "http://www.opengis.net/citygml/building/2.0",
+        "citygml_17": "boundedBy",
+        "citygml_18": " ",
+        "citygml_19": " ",
+        "gml_desc_1": " ",
+        "gml_name_1": " ",
+        "citygml_20": " ",
+        "citygml_21": " ",
+        "external_3": " ",
+        "external_4": " ",
+        "external_5": " ",
+        "citygml_22": " ",
+        "citygml_23": " ",
+        "citygml_24": " ",
+        "citygml_25": " ",
+        "citygml_26": " ",
+        "citygml_op": " ",
+        "Area": 191.404,
+        "FID_": 0,
+        "Join_Count": 2,
+        "TARGET_FID": 1058,
+        "gml_id_12": 1340982,
+        "gml_pare_2": "fme-gen-5fa2a82b-c38e-4bf0-9e8f-10a47b9f64f7",
+        "citygml_27": "http://www.opengis.net/citygml/building/2.0",
+        "citygml_28": "cityObjectMember",
+        "citygml_29": " ",
+        "citygml_30": " ",
+        "gml_desc_2": " ",
+        "gml_name_2": " ",
+        "citygml_31": " ",
+        "citygml_32": " ",
+        "external_6": " ",
+        "external_7": " ",
+        "external_8": " ",
+        "citygml_33": " ",
+        "citygml_34": " ",
+        "citygml_35": " ",
+        "citygml_36": " ",
+        "citygml_37": " ",
+        "citygml_38": " ",
+        "citygml_39": " ",
+        "citygml_40": " ",
+        "citygml_41": " ",
+        "citygml_42": " ",
+        "citygml_43": " ",
+        "citygml_44": " ",
+        "citygml_45": " ",
+        "citygml_46": " ",
+        "citygml_47": 19.113,
+        "citygml_48": "#m",
+        "citygml_49": " ",
+        "citygml_50": " ",
+        "citygml_51": " ",
+        "citygml_52": " ",
+        "citygml_53": " ",
+        "citygml_54": " ",
+        "citygml_55": " ",
+        "citygml_56": " ",
+        "citygml_57": " ",
+        "citygml_58": " ",
+        "citygml_59": " ",
+        "citygml_60": " ",
+        "citygml_61": " ",
+        "Volume_1": "2931.350",
+        "Field": 0,
+        "Field1": 0,
+        "OBJECTID_1": 1056,
+        "gml_id_12_": "384b2b1c-2e25-4f6a-b082-d272dba3453f",
+        "gml_pare_3": 1340982,
+        "citygml_62": "http://www.opengis.net/citygml/building/2.0",
+        "citygml_63": "boundedBy",
+        "citygml_64": " ",
+        "citygml_65": " ",
+        "gml_desc_3": " ",
+        "gml_name_3": " ",
+        "citygml_66": " ",
+        "citygml_67": " ",
+        "external_9": " ",
+        "externa_10": " ",
+        "externa_11": " ",
+        "citygml_68": " ",
+        "citygml_69": " ",
+        "citygml_70": " ",
+        "citygml_71": " ",
+        "citygml_72": " ",
+        "citygml_73": " ",
+        "Area_1": 191.404,
+        "cityGML_hi": 0,
+        "Z_Min": 46.1162,
+        "Z_Max": 64.399,
+        "Shape_Leng": 63.6906066955,
+        "ID_UEV": "01036804",
+        "CIVIQUE_DE": " 2170",
+        "CIVIQUE_FI": " 2170",
+        "NOM_RUE": "rue Bishop  (MTL)",
+        "MUNICIPALI": 50,
+        "ETAGE_HORS": 3,
+        "NOMBRE_LOG": 1,
+        "ANNEE_CONS": 1900,
+        "CODE_UTILI": 6000,
+        "LIBELLE_UT": "Immeuble à bureaux",
+        "CATEGORIE_": "Régulier",
+        "MATRICULE8": "9839-57-7770-3-000-0000",
+        "SUPERFICIE": 259,
+        "SUPERFIC_1": 490,
+        "NO_ARROND_": "REM19",
+        "Shape_Le_1": 0.00093336765858,
+        "Shape_Ar_1": 3.0845126501e-8,
+        "Z_Min_1": null,
+        "Z_Max_1": null,
+        "Shape_Length": 63.69060669550123,
+        "Shape_Area": 174.69050030775531
+      }
+    }
+  ]
+}

life_cycle_costs.py

@@ -1,98 +0,0 @@
-"""
-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
-"""
-import math
-from pathlib import Path
-from imports.geometry_factory import GeometryFactory
-from costs_workflow.capital_cost import CapitalCost
-from catalog_factories.costs_catalog_factory import CostCatalogFactory
-from imports.construction_factory import ConstructionFactory
-
-class LifeCycleCosts:
-
-  number_of_years = 40
-  consumer_price_index = 0.1
-  catalog = CostCatalogFactory('montreal_catalog').catalog
-  content = catalog.entries()
-  construction_format = 'nrel'
-  usage_format = 'comnet'
-  base_path = Path(Path(__file__).parent / 'unittests/tests_data')
-  gml_file = str(base_path / 'one_building_in_kelowna.gml')
-  city = GeometryFactory('citygml', gml_file).city
-  for building in city.buildings:
-    building.year_of_construction = 2006
-  ConstructionFactory(construction_format, city).enrich()
-
-  # todo: this should be (city, costs_catalog) or similar
-  def __init__(self, building, number_of_years, consumer_price_index, discount_rate, end_of_life_cost,
-               capital_costs_at_year_0, items, fuels, concepts):
-    self._building = building
-    self._number_of_years = number_of_years
-    self._consumer_price_index = consumer_price_index
-    self._discount_rate = discount_rate
-
-    self._end_of_life_cost = end_of_life_cost
-
-    self._capital_costs_at_year_0 = capital_costs_at_year_0
-    self._items = items
-
-    self._fuels = fuels
-
-    self._concepts = concepts
-
-  def calculate_capital_costs(self):
-    total_capital_costs = self._capital_costs_at_year_0
-    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)
-      for item in self._items:
-        total_capital_costs += item.reposition_costs[year] * costs_increase
-    return total_capital_costs
-
-  def calculate_end_of_life_costs(self):
-    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)
-    return self._end_of_life_cost * price_increase
-
-  def calculate_total_operational_costs(self):
-    total_operational_costs = 0
-    for year in range(1, self._number_of_years + 1):
-      for fuel in self._fuels:
-        total_operational_costs += fuel.operational_cost \
-                                   * math.pow(1 + fuel.energy_price_index, year) / math.pow(1 + self._discount_rate, year)
-    return total_operational_costs
-
-  def calculate_total_maintenance_costs(self):
-    total_maintenance_costs = 0
-    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)
-      for concept in self._concepts:
-        total_maintenance_costs += concept.mantainance_costs * costs_increase
-    return total_maintenance_costs
-
-  def calculate_capitalcost(self, city):
-    for building in city.buildings:
-      # municipality = "montreal"
-      lcc.calculate_capitalcost(building, municipality, content)
-    building_volume = 0.0
-    building_area = 0.0
-    total_opaque_area = 0.0
-    total_transparent_area = 0.0
-    for internal_zone in one_building.internal_zones:
-      for thermal_zone in internal_zone.thermal_zones:
-        for thermal_boundary in thermal_zone.thermal_boundaries:
-          if thermal_boundary.opaque_area is not None:
-            total_opaque_area += thermal_boundary.opaque_area
-          if thermal_boundary.windows_areas is not None:
-            total_transparent_area += thermal_boundary.windows_areas
-
-
-      building_area += internal_zone.area
-      building_volume += internal_zone.volume
-    # print("Total building_volume  ", building_volume)
-    # print("Total building_area  ", building_area)
-    # print("Total opaque_area  ", total_opaque_area)
-
-    CapitalCost.calculate_capital_cost(building_area, municipality, building_volume, total_opaque_area, total_transparent_area, content)

operational_cost.py

@@ -1,12 +0,0 @@
-"""
-OperationalCost calculates the Operational Cost of one building
-SPDX - License - Identifier: LGPL - 3.0 - or -later
-Copyright © 2022 Project Coder Atiya atiya.atiya@mail.concordia.ca
-"""
-
-class OperationalCost:
-
-  def calculate_operational_cost(municipality, content):
-    for cost in content.costs:
-      if cost.municipality == municipality:
-        fuel_operational_cost = float(cost.operational_cost.fuel_operational_cost)

out_files/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+.gitignore
+# Except this file
+!.gitignore

resources.txt

@@ -0,0 +1,2 @@
+numpy_financial
+cerc_hub

unittests/test_costs_workflow.py

@@ -1,137 +0,0 @@
-"""
-TestCostsWorkflow test
-SPDX - License - Identifier: LGPL - 3.0 - or -later
-Copyright © 2022 Concordia CERC group
-Copyright © 2022 Project Coder Atiya atiya.atiya@mail.concordia.ca
-"""
-
-from pathlib import Path
-from unittest import TestCase
-import pandas as pd
-import helpers.constants as cte
-from helpers.monthly_values import MonthlyValues
-from imports.geometry_factory import GeometryFactory
-from imports.construction_factory import ConstructionFactory
-from imports.usage_factory import UsageFactory
-from imports.weather_factory import WeatherFactory
-from peak_loads import PeakLoads
-from costs_workflow.capital_cost import CapitalCost
-from costs_workflow.life_cycle_costs import LifeCycleCosts
-from catalog_factories.costs_catalog_factory import CostCatalogFactory
-
-
-class TestPeakLoadsWorkflow(TestCase):
-  """
-  TestPeakLoadsWorkflow class
-  """
-  def setUp(self) -> None:
-    """
-        Test setup
-        :return: None
-        """
-    self._city = None
-    self._complete_city = None
-    self._example_path = (Path(__file__).parent / 'tests_data').resolve()
-    self._output_path = (Path(__file__).parent / 'tests_outputs').resolve()
-
-  def _get_citygml(self, file):
-    file_path = (self._example_path / file).resolve()
-    self._city = GeometryFactory('citygml', path=file_path).city
-    self.assertIsNotNone(self._city, 'city is none')
-    return self._city
-
-  @property
-  def _read_sra_file(self) -> []:
-    path = (self._example_path / "one_building_in_kelowna_sra_SW.out").resolve()
-    _results = pd.read_csv(path, sep='\s+', header=0)
-    id_building = ''
-    header_building = []
-    _radiation = []
-    for column in _results.columns.values:
-      if id_building != column.split(':')[1]:
-        id_building = column.split(':')[1]
-        if len(header_building) > 0:
-          _radiation.append(pd.concat([MonthlyValues().month_hour, _results[header_building]], axis=1))
-        header_building = [column]
-      else:
-        header_building.append(column)
-    _radiation.append(pd.concat([MonthlyValues().month_hour, _results[header_building]], axis=1))
-    return _radiation
-
-  def _set_irradiance_surfaces(self, city, irradiance_format):
-    """
-    saves in building surfaces the correspondent irradiance at different time-scales depending on the mode
-    if building is None, it saves all buildings' surfaces in file, if building is specified, it saves only that
-    specific building values
-    :parameter city: city
-    :return: none
-    """
-    for radiation in self._read_sra_file:
-      city_object_name = radiation.columns.values.tolist()[1].split(':')[1]
-      building = city.city_object(city_object_name)
-      for column in radiation.columns.values:
-        if column == cte.MONTH:
-          continue
-        header_id = column
-        surface_id = header_id.split(':')[2]
-        surface = building.surface_by_id(surface_id)
-        new_value = pd.DataFrame(radiation[[header_id]].to_numpy(), columns=[irradiance_format])
-        surface.global_irradiance[cte.HOUR] = new_value
-
-  def _enrich_city(self, city, weather_file, weather_format, irradiance_format, construction_format, usage_format):
-    WeatherFactory(weather_format, city, file_name=weather_file).enrich()
-    self._set_irradiance_surfaces(city, irradiance_format)
-
-    for building in city.buildings:
-      building.year_of_construction = 2006
-      if building.function is None:
-        building.function = cte.LARGE_OFFICE
-
-    ConstructionFactory(construction_format, city).enrich()
-    UsageFactory(usage_format, city).enrich()
-
-  def test_workflow(self):
-    outputs_path = (Path(__file__).parent / 'tests_outputs').resolve()
-
-    gml_file = 'one_building_in_kelowna.gml'
-    city = self._get_citygml(gml_file)
-
-    weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
-    weather_format = 'epw'
-    irradiance_format = 'sra'
-    construction_format = 'nrel'
-    usage_format = 'comnet'
-    number_of_years = 40
-    consumer_price_index = 0.1
-    discount_rate = 2.5
-    self._enrich_city(city, weather_file, weather_format, irradiance_format, construction_format, usage_format)
-    municipality = "montreal"
-    catalog = CostCatalogFactory('montreal_catalog').catalog
-    content = catalog.entries()
-    for building in city.buildings:
-      building_volume = 0.0
-      building_area = 0.0
-      total_opaque_area = 0.0
-      total_transparent_area = 0.0
-      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.opaque_area is not None:
-              total_opaque_area += thermal_boundary.opaque_area
-            if thermal_boundary.windows_areas is not None:
-              total_transparent_area += thermal_boundary.windows_areas
-
-        building_area += internal_zone.area
-        building_volume += internal_zone.volume
-
-      bulding_name, heating_load, cooling_load = PeakLoads(city, outputs_path, weather_format, irradiance_format)._results[0]
-      capital_costs_at_year_0 = CapitalCost.calculate_capital_cost(building_area, municipality, building_volume, total_opaque_area, total_transparent_area, content, heating_load, cooling_load, building.floor_area)
-      # end_of_life_cost = 0.0
-      # items = []
-      # fuels = city.fuels
-      # concepts = []
-      # LifeCycleCosts(city, number_of_years, consumer_price_index, discount_rate, end_of_life_cost,
-      #            capital_costs_at_year_0, items, fuels, concepts).calculate_capital_costs
-
-
-

unittests/tests_data/one_building_in_kelowna.gml

@@ -1,409 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<core:CityModel xmlns:brid="http://www.opengis.net/citygml/bridge/2.0" xmlns:tran="http://www.opengis.net/citygml/transportation/2.0" xmlns:frn="http://www.opengis.net/citygml/cityfurniture/2.0" xmlns:wtr="http://www.opengis.net/citygml/waterbody/2.0" xmlns:sch="http://www.ascc.net/xml/schematron" xmlns:veg="http://www.opengis.net/citygml/vegetation/2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:tun="http://www.opengis.net/citygml/tunnel/2.0" xmlns:tex="http://www.opengis.net/citygml/texturedsurface/2.0" xmlns:gml="http://www.opengis.net/gml" xmlns:gen="http://www.opengis.net/citygml/generics/2.0" xmlns:dem="http://www.opengis.net/citygml/relief/2.0" xmlns:app="http://www.opengis.net/citygml/appearance/2.0" xmlns:luse="http://www.opengis.net/citygml/landuse/2.0" xmlns:xAL="urn:oasis:names:tc:ciq:xsdschema:xAL:2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:smil20lang="http://www.w3.org/2001/SMIL20/Language" xmlns:pbase="http://www.opengis.net/citygml/profiles/base/2.0" xmlns:smil20="http://www.w3.org/2001/SMIL20/" xmlns:bldg="http://www.opengis.net/citygml/building/2.0" xmlns:core="http://www.opengis.net/citygml/2.0" xmlns:grp="http://www.opengis.net/citygml/cityobjectgroup/2.0">
-	<gml:boundedBy>
-		<gml:Envelope srsName="EPSG:26911" srsDimension="3">
-			<gml:lowerCorner>326011.03601000085 5526048.416990001 -1.6000000000058208</gml:lowerCorner>
-			<gml:upperCorner>329466.6600299999 5529018.72205 9.80000000000291</gml:upperCorner>
-		</gml:Envelope>
-	</gml:boundedBy>
-	<core:cityObjectMember>
-		<bldg:Building gml:id="BLD109438">
-			<gen:doubleAttribute name="gross_floor_area">
-				<gen:value>291</gen:value>
-			</gen:doubleAttribute>
-			<gen:stringAttribute name="gross_floor_raea_unit">
-				<gen:value>m2</gen:value>
-			</gen:stringAttribute>
-			<bldg:function>residential</bldg:function>
-			<bldg:yearOfConstruction>1996</bldg:yearOfConstruction>
-			<bldg:measuredHeight>5.3</bldg:measuredHeight>
-			<bldg:storeysAboveGround>1</bldg:storeysAboveGround>
-			<bldg:lod2Solid>
-				<gml:Solid srsName="EPSG:26911" srsDimension="3">
-					<gml:exterior>
-						<gml:CompositeSurface>
-							<gml:surfaceMember xlink:href="#UUID_854e7876-bcb7-43f5-9f4b-7c55803cf04f"/>
-							<gml:surfaceMember xlink:href="#UUID_50045e42-87aa-4aa4-b179-99d03a5569df"/>
-							<gml:surfaceMember xlink:href="#UUID_6138b267-e734-4830-98f8-a79fc4d38da4"/>
-							<gml:surfaceMember xlink:href="#UUID_7e4a20ee-4581-4e9a-a661-3e80c79ae226"/>
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-										<gml:LinearRing>
-											<gml:posList>329242.40003000014 5528257.71503 3.8000000000029104 329242.1777599994 5528266.829500001 5.298219999996945 329238.32637000084 5528266.609999999 4.6887600000045495 329233.80010999925 5528270.5848900005 4.683640000002924 329231.5010599997 5528270.404139999 4.311470000000554 329229.30395000055 5528269.304020001 3.8000000000029104 329242.40003000014 5528257.71503 3.8000000000029104</gml:posList>
-										</gml:LinearRing>
-									</gml:exterior>
-								</gml:Polygon>
-							</gml:surfaceMember>
-						</gml:MultiSurface>
-					</bldg:lod2MultiSurface>
-				</bldg:RoofSurface>
-			</bldg:boundedBy>
-			<bldg:boundedBy>
-				<bldg:RoofSurface gml:id="UUID_d6d9c32d-cd29-490e-accc-3ac5decbb289">
-					<bldg:lod2MultiSurface>
-						<gml:MultiSurface srsName="EPSG:26911" srsDimension="3">
-							<gml:surfaceMember>
-								<gml:Polygon gml:id="UUID_16a00d48-90a4-4cd1-94e6-0654a5b9b1d2">
-									<gml:exterior>
-										<gml:LinearRing>
-											<gml:posList>329247.3289800007 5528262.52503 3.8000000000029104 329245.1323099993 5528267.42457 4.930840000000899 329244.33748999983 5528267.074109999 4.999100000000908 329242.3462899998 5528267.00502 5.30000000000291 329242.1777599994 5528266.829500001 5.298219999996945 329242.40003000014 5528257.71503 3.8000000000029104 329247.3289800007 5528262.52503 3.8000000000029104</gml:posList>
-										</gml:LinearRing>
-									</gml:exterior>
-								</gml:Polygon>
-							</gml:surfaceMember>
-						</gml:MultiSurface>
-					</bldg:lod2MultiSurface>
-				</bldg:RoofSurface>
-			</bldg:boundedBy>
-			<bldg:boundedBy>
-				<bldg:RoofSurface gml:id="UUID_d97b1be8-8be7-4a5c-9f4d-3159853b054e">
-					<bldg:lod2MultiSurface>
-						<gml:MultiSurface srsName="EPSG:26911" srsDimension="3">
-							<gml:surfaceMember>
-								<gml:Polygon gml:id="UUID_4832dea6-f237-45ec-a711-ce1fc27b7e3b">
-									<gml:exterior>
-										<gml:LinearRing>
-											<gml:posList>329254.11205999926 5528262.99903 3.8000000000029104 329248.8121399991 5528267.658840001 4.925719999999274 329245.1323099993 5528267.42457 4.930840000000899 329247.3289800007 5528262.52503 3.8000000000029104 329254.11205999926 5528262.99903 3.8000000000029104</gml:posList>
-										</gml:LinearRing>
-									</gml:exterior>
-								</gml:Polygon>
-							</gml:surfaceMember>
-						</gml:MultiSurface>
-					</bldg:lod2MultiSurface>
-				</bldg:RoofSurface>
-			</bldg:boundedBy>
-		</bldg:Building>
-	</core:cityObjectMember>
-</core:CityModel>

unittests/tests_outputs/metadata.csv

@@ -1,9 +0,0 @@
-city name: Kelowna
-
-name: BLD109438
-year of construction: 2006
-function: residential
-floor area: 272.08909526467323
-storeys: 1
-heated_volume: 995.0080033651222
-volume: 1170.597651017791

unittests/tests_outputs/peak_loads.csv

@@ -1,2 +0,0 @@
-Peak loads in W
-BLD109438, 33882.32144209778, -10503.805886306322