Capital cost

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atiya 2023-01-28 18:25:57 -05:00
parent 666e11dd3d
commit d3fc2802ff
24 changed files with 204918 additions and 148 deletions

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""" """
LifeCycleCosts calculates the life cycle costs of one building CapitalCost calculates the Capital Cost of one building
SPDX - License - Identifier: LGPL - 3.0 - or -later SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Project Coder Atiya atiya.atiya@mail.concordia.ca Copyright © 2022 Project Coder Atiya atiya.atiya@mail.concordia.ca
""" """
class CapitalCost: class CapitalCost:
def calculate_capital_cost(building_area, building_volume, content): def calculate_capital_cost(building_area, municipality, building_volume, total_opaque_area, total_transparent_area, content, heating_load, cooling_load, floor_area):
structural_cost = float(content.costs[0].capital_cost.structural_cost) * building_volume for cost in content.costs:
sub_structural_cost = float(content.costs[0].capital_cost.sub_structural_cost) * building_volume if cost.municipality == municipality:
lighting_cost = float(content.costs[0].capital_cost.lighting_cost) * building_volume structural_cost = float(cost.capital_cost.structural_cost) * building_volume
surface_finish_cost = float(content.costs[0].capital_cost.surface_finish_cost) * building_volume sub_structural_cost = float(cost.capital_cost.sub_structural_cost) * building_area
engineer_cost = float(content.costs[0].capital_cost.engineer_cost) * building_volume
envelop_cost = float(content.costs[0].capital_cost.EnvelopCost.reposition) * building_volume +
# system_cost = float(content.costs[0].capital_cost.system_cost) * building_volume
# subsidy = float(content.costs[0].capital_cost.subsidy) * building_volume
print("structural_cost ", structural_cost) envelop_cost = 0.0
print("sub_structural_cost ", sub_structural_cost) for i in range(len(cost.capital_cost.envelop_cost)):
print("lighting_cost ", lighting_cost) if cost.capital_cost.envelop_cost[i].type == 'opaque_cost':
print("surface_finish_cost ", surface_finish_cost) opague_cost = float(cost.capital_cost.envelop_cost[i].reposition) * total_opaque_area + float(
print("engineer_cost ", engineer_cost) cost.capital_cost.envelop_cost[i].initial_investment) * total_opaque_area
# print("envelop_cost ", envelop_cost) envelop_cost += opague_cost
# print("system_cost ", system_cost) if cost.capital_cost.envelop_cost[i].type == 'transparent_cost':
# print("subsidy ", subsidy) 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
# for thermal_zone in internal_zone.thermal_zones:
# for thermal_boundary in thermal_zone.thermal_boundaries:
# total_opaque_area = []
# for i, layer in enumerate(thermal_boundary.layers):
# print(layer)
# if layer.material.no_mass == False:
# layer_area = layer.thickness * thermal_boundary.opaque_area
# # total_opaque_area[layer.material.].append(material_layers_lca)
# # else:
# # material_layers_lca['layer_name'] = f'Layer {i+1}'
# # material_layers_lca['nrel_material_id'] = layer.material.id
# # material_layers_lca['lca_material_id'] = mat_id
# # material_layers_lca['embodied_carbon'] = (layer.thickness * thermal_boundary.opaque_area) * mat_density * embodied_carbon
# # material_layers_lca['end_of_life_per_layer'] = 0.0
# # materials_lca[thermal_boundary.type].append(material_layers_lca)

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3451
data/FZK_Haus_LoD_3.gml Normal file

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data/costs.xml Normal file
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<?xml version="1.0" encoding="utf-8"?>
<cost_catalogs>
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</opaque_cost>
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</transparent_cost>
</envelop_cost>
<system_cost>
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</heating_load_cost>
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</cooling_load_cost>
</hvac_cost>
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</rest_cost>
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</pv_cost>
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</capital_cost>
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</maintenance_cost>
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</operational_cost>
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</cost_catalogs>

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@ -0,0 +1,409 @@
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420
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View File

@ -4,11 +4,27 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca
""" """
import math import math
from capital_cost import CapitalCost 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: 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 # 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, def __init__(self, building, number_of_years, consumer_price_index, discount_rate, end_of_life_cost,
capital_costs_at_year_0, items, fuels, concepts): capital_costs_at_year_0, items, fuels, concepts):
@ -26,8 +42,6 @@ class LifeCycleCosts:
self._concepts = concepts self._concepts = concepts
def calculate_capital_costs(self): def calculate_capital_costs(self):
total_capital_costs = self._capital_costs_at_year_0 total_capital_costs = self._capital_costs_at_year_0
for year in range(1, self._number_of_years + 1): for year in range(1, self._number_of_years + 1):
@ -58,13 +72,27 @@ class LifeCycleCosts:
total_maintenance_costs += concept.mantainance_costs * costs_increase total_maintenance_costs += concept.mantainance_costs * costs_increase
return total_maintenance_costs return total_maintenance_costs
def capital_cost(one_building, content): def calculate_capitalcost(self, city):
# print(len(one_building.internal_zones)) for building in city.buildings:
# municipality = "montreal"
lcc.calculate_capitalcost(building, municipality, content)
building_volume = 0.0 building_volume = 0.0
building_area = 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 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_area += internal_zone.area
building_volume += internal_zone.volume building_volume += internal_zone.volume
# print("area of the building ", building_area) # print("Total building_volume ", building_volume)
# print("volume of the building ", building_volume) # print("Total building_area ", building_area)
CapitalCost.calculate_capital_cost(building_area, building_volume, content) # print("Total opaque_area ", total_opaque_area)
CapitalCost.calculate_capital_cost(building_area, municipality, building_volume, total_opaque_area, total_transparent_area, content)

44
main.py
View File

@ -1,44 +0,0 @@
"""
Costs Workflow
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Project Author Pilar Monsalvete Álvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
from imports.geometry_factory import GeometryFactory
from capital_cost import CapitalCost
from life_cycle_costs import LifeCycleCosts
from imports.construction_factory import ConstructionFactory
from catalog_factories.costs_catalog_factory import CostCatalogFactory
gml_file = 'one_building_in_kelowna.gml'
file = Path(gml_file).resolve()
city = GeometryFactory('citygml', file).city
ConstructionFactory('nrel', city).enrich()
# print(city.buildings)
number_of_years = 40
consumer_price_index = 0.1
catalog = CostCatalogFactory('montreal_catalog').catalog
content = catalog.entries()
for building in city.buildings:
LifeCycleCosts.capital_cost(building, content)
catalog = CostCatalogFactory('montreal_catalog').catalog
content = catalog.entries()
# print(len(content.costs))
# lcc = LifeCycleCosts(building, number_of_years, consumer_price_index, costs_catalog)
# total_capital_costs = lcc.calculate_capital_costs()
# end_of_life_costs = lcc.calculate_end_of_life_costs()
# total_operational_costs = lcc.calculate_total_operational_costs()
# total_maintenance_costs = lcc.calculate_total_maintenance_costs()
# life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
#
# print(f'Building name: {building.name}')
# print(f'Capital costs: {total_capital_costs}')
# print(f'End of life costs: {end_of_life_costs}')
# print(f'Operational costs: {total_operational_costs}')
# print(f'Maintenance costs: {total_maintenance_costs}')
# print(f'Life cycle costs: {life_cycle_costs}')

12
operational_cost.py Normal file
View File

@ -0,0 +1,12 @@
"""
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)

View File

@ -0,0 +1,141 @@
"""
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)
# PeakLoads(city, outputs_path, weather_format, irradiance_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]
print(bulding_name, heating_load, cooling_load)
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)
print("capital_costs_at_year_0 ", capital_costs_at_year_0)
# 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
# print(PeakLoads(city, outputs_path, weather_format, irradiance_format)._results[][1])

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city name: Kelowna
name: BLD109438
year of construction: 2006
function: residential
floor area: 272.08909526467323
storeys: 1
heated_volume: 995.0080033651222
volume: 1170.597651017791
1 city name: Kelowna
2 name: BLD109438
3 year of construction: 2006
4 function: residential
5 floor area: 272.08909526467323
6 storeys: 1
7 heated_volume: 995.0080033651222
8 volume: 1170.597651017791

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Peak loads in W
BLD109438, 33882.32144209778, -10503.805886306322
1 Peak loads in W
2 BLD109438, 33882.32144209778, -10503.805886306322