Main of costs_workflow (with hardcoded values for demands and power) operating. Lifecyclecosts first version
This commit is contained in:
parent
e9df29a323
commit
fcd6dc3436
@ -5,8 +5,10 @@ Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_mons
|
||||
Project contributor 2023 Author Oriol Gavaldà Torrellas oriol.gavalda@concordia.ca
|
||||
"""
|
||||
import sys
|
||||
import math
|
||||
from hub.hub_logger import logger
|
||||
from hub.helpers.dictionaries import Dictionaries
|
||||
from hub.helpers import constants as cte
|
||||
|
||||
|
||||
class LifeCycleCosts:
|
||||
@ -30,6 +32,13 @@ class LifeCycleCosts:
|
||||
building = self._building
|
||||
surface_opaque = 0
|
||||
surface_transparent = 0
|
||||
surface_roof = 0
|
||||
surface_ground = 0
|
||||
factor_pv=0.5
|
||||
factor_heating_power=0.1 #kW/m2
|
||||
factor_cooling_power=0.1 #kW/m2
|
||||
total_floor_area=0
|
||||
|
||||
try:
|
||||
function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
|
||||
archetype = self._search_archetype(self._cost_catalog, function)
|
||||
@ -42,20 +51,43 @@ class LifeCycleCosts:
|
||||
|
||||
for internal_zone in building.internal_zones:
|
||||
for thermal_zone in internal_zone.thermal_zones:
|
||||
total_floor_area+=thermal_zone.total_floor_area
|
||||
print(total_floor_area)
|
||||
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
|
||||
print(f'total floor area {total_floor_area}')
|
||||
|
||||
chapters = archetype.capital_cost.general_chapters
|
||||
|
||||
chapters = archetype.capital_cost
|
||||
capital_cost_skin=0
|
||||
capital_cost_services=0
|
||||
if self._retrofitting_scenario == 1 or self._retrofitting_scenario == 3:
|
||||
chapter = chapters.chapter('B_shell')
|
||||
capital_cost_opaque = surface_opaque * chapter.item('B2010_opaque_walls').refurbishment[0]
|
||||
capital_cost_transparent = surface_transparent * chapter.item('B2020_transparent').refurbishment[0]
|
||||
capital_cost_roof = surface_roof * chapter.item('B3010_opaque_roof').refurbishment[0]
|
||||
capital_cost_ground = surface_ground * chapter.item('B10_superstructure').refurbishment[0]
|
||||
capital_cost_skin= capital_cost_opaque+capital_cost_transparent+capital_cost_roof+capital_cost_ground
|
||||
print (f'capital cost skin {capital_cost_skin}')
|
||||
if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
|
||||
chapter = chapters.chapter('D_services')
|
||||
capital_cost_pv = surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
|
||||
capital_cost_heating_equipment = total_floor_area * factor_heating_power * chapter.item('D3020_heat_generating_systems').initial_investment[0]
|
||||
capital_cost_cooling_equipment = total_floor_area * factor_cooling_power * chapter.item('D3030_cooling_generation_systems').initial_investment[0]
|
||||
capital_cost_distribution_equipment = total_floor_area * factor_cooling_power * chapter.item('D3040_distribution_systems').initial_investment[0]
|
||||
capital_cost_other_hvac_ahu = total_floor_area * factor_cooling_power * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
|
||||
capital_cost_lighting = total_floor_area * factor_pv * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
|
||||
capital_cost_services=capital_cost_pv+capital_cost_heating_equipment+capital_cost_cooling_equipment+capital_cost_distribution_equipment+capital_cost_other_hvac_ahu+capital_cost_lighting
|
||||
|
||||
print(f'cost_opaque {capital_cost_opaque}')
|
||||
print(f'cost_transparent {capital_cost_transparent}')
|
||||
capital_cost_subtotal = capital_cost_skin + capital_cost_services
|
||||
capital_cost_total= capital_cost_subtotal*(1+chapters.design_allowance)*(1+chapters.overhead_and_profit)
|
||||
|
||||
return capital_cost_total
|
||||
@staticmethod
|
||||
def _search_archetype(costs_catalog, function):
|
||||
costs_archetypes = costs_catalog.entries('archetypes').archetypes
|
||||
@ -64,32 +96,137 @@ class LifeCycleCosts:
|
||||
return building_archetype
|
||||
raise KeyError('archetype not found')
|
||||
|
||||
|
||||
'''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):
|
||||
building = self._building
|
||||
total_floor_area = 0
|
||||
|
||||
try:
|
||||
function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
|
||||
archetype = self._search_archetype(self._cost_catalog, function)
|
||||
except KeyError:
|
||||
logger.error(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
return
|
||||
|
||||
for internal_zone in building.internal_zones:
|
||||
for thermal_zone in internal_zone.thermal_zones:
|
||||
total_floor_area += thermal_zone.total_floor_area
|
||||
print(total_floor_area)
|
||||
|
||||
price_increase = 0
|
||||
for year in range(1, self._number_of_years + 1):
|
||||
price_increase += math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
|
||||
return self._end_of_life_cost * price_increase
|
||||
price_increase_average = price_increase/self._number_of_years
|
||||
|
||||
return total_floor_area*archetype.end_of_life_cost*price_increase_average
|
||||
|
||||
|
||||
def calculate_total_operational_costs(self):
|
||||
total_operational_costs = 0
|
||||
peak_cost=0
|
||||
monthly_cost=0
|
||||
variable_cost=0
|
||||
|
||||
building = self._building
|
||||
total_floor_area = 0
|
||||
|
||||
try:
|
||||
function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
|
||||
archetype = self._search_archetype(self._cost_catalog, function)
|
||||
except KeyError:
|
||||
logger.error(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
return
|
||||
|
||||
for internal_zone in building.internal_zones:
|
||||
for thermal_zone in internal_zone.thermal_zones:
|
||||
total_floor_area += thermal_zone.total_floor_area
|
||||
|
||||
if self._retrofitting_scenario==1 or self._retrofitting_scenario==3:
|
||||
specific_heating_demand=50
|
||||
else:
|
||||
specific_heating_demand=190
|
||||
|
||||
heating_demand= specific_heating_demand * total_floor_area
|
||||
cooling_demand= 10 * total_floor_area
|
||||
|
||||
if self._retrofitting_scenario==2 or self._retrofitting_scenario==3:
|
||||
heating_SCOP=1
|
||||
cooling_SEER=2.8
|
||||
else:
|
||||
heating_SCOP = 2.5
|
||||
cooling_SEER = 4
|
||||
|
||||
electricity_heating=heating_demand/heating_SCOP
|
||||
electricity_cooling=cooling_demand/cooling_SEER
|
||||
electricity_lighting=11* total_floor_area
|
||||
electricity_plug_loads=19*total_floor_area
|
||||
domestic_hot_water_demand= 50* total_floor_area
|
||||
|
||||
total_electricity_consumption= electricity_cooling+electricity_heating+electricity_lighting+domestic_hot_water_demand+electricity_plug_loads
|
||||
|
||||
peak_electricity_demand= 0.1*total_floor_area
|
||||
|
||||
operational_cost_year_0=total_electricity_consumption*archetype.operational_cost.fuels[0].variable[0]
|
||||
peak_cost_year_0=peak_electricity_demand*archetype.operational_cost.fuels[0].fixed_power*12
|
||||
monthly_cost_year_0=archetype.operational_cost.fuels[0].fixed_monthly*12*(total_floor_area/100)
|
||||
print(f'operational_cost_year_0 {operational_cost_year_0}')
|
||||
print(f'peak_cost_year_0 {peak_cost_year_0}')
|
||||
print(f'monthly_cost_year_0 {monthly_cost_year_0}')
|
||||
|
||||
for year in range(1, self._number_of_years + 1):
|
||||
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)
|
||||
peak_cost += operational_cost_year_0 \
|
||||
* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
|
||||
monthly_cost +=peak_cost_year_0 \
|
||||
* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
|
||||
variable_cost +=monthly_cost_year_0 \
|
||||
* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
|
||||
total_operational_costs = peak_cost + monthly_cost + variable_cost
|
||||
|
||||
return total_operational_costs
|
||||
|
||||
|
||||
def calculate_total_maintenance_costs(self):
|
||||
total_maintenance_costs = 0
|
||||
|
||||
building = self._building
|
||||
total_floor_area = 0
|
||||
|
||||
factor_pv = 0.5
|
||||
factor_heating_power = 0.1 # kW/m2
|
||||
factor_cooling_power = 0.1 # kW/m2
|
||||
surface_roof = 0
|
||||
maintenance_pv = 0
|
||||
maintenance_heating = 0
|
||||
maintenance_cooling = 0
|
||||
|
||||
try:
|
||||
function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
|
||||
archetype = self._search_archetype(self._cost_catalog, function)
|
||||
except KeyError:
|
||||
logger.error(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
return
|
||||
|
||||
for internal_zone in building.internal_zones:
|
||||
for thermal_zone in internal_zone.thermal_zones:
|
||||
total_floor_area+=thermal_zone.total_floor_area
|
||||
for thermal_boundary in thermal_zone.thermal_boundaries:
|
||||
if thermal_boundary.type == 'Roof':
|
||||
surface_roof += thermal_boundary.opaque_area
|
||||
surface_pv = surface_roof*factor_pv
|
||||
maintenance_pv_0=surface_pv*archetype.operational_cost.maintenance_pv
|
||||
maintenance_heating_0=total_floor_area*factor_heating_power*archetype.operational_cost.maintenance_heating
|
||||
maintenance_cooling_0=total_floor_area*factor_cooling_power*archetype.operational_cost.maintenance_cooling
|
||||
for year in range(1, self._number_of_years + 1):
|
||||
costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
|
||||
for concept in self._concepts:
|
||||
total_maintenance_costs += concept.mantainance_costs * costs_increase
|
||||
return total_maintenance_costs'''
|
||||
maintenance_pv +=maintenance_pv_0*costs_increase
|
||||
maintenance_heating +=maintenance_heating_0*costs_increase
|
||||
maintenance_cooling +=maintenance_cooling_0*costs_increase
|
||||
total_maintenance_costs = maintenance_pv + maintenance_heating + maintenance_cooling
|
||||
return total_maintenance_costs
|
||||
|
||||
25
main.py
25
main.py
@ -14,7 +14,7 @@ from hub.imports.geometry_factory import GeometryFactory
|
||||
from life_cycle_costs import LifeCycleCosts
|
||||
from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
|
||||
|
||||
file_path = (Path(__file__).parent.parent / 'costs_workflow' / 'input_files' / 'Citylayers_neighbours.geojson')
|
||||
file_path = (Path(__file__).parent.parent / 'costs_workflow' / 'input_files' / 'selected_building_2864.geojson')
|
||||
out_path = (Path(__file__).parent.parent / 'costs_workflow' / 'out_files')
|
||||
files = glob.glob(f'{out_path}/*')
|
||||
for file in files:
|
||||
@ -32,17 +32,22 @@ city = GeometryFactory('geojson',
|
||||
print(f'city created from {file_path}')
|
||||
ConstructionFactory('nrcan', city).enrich()
|
||||
print('enrich constructions... done')
|
||||
number_of_years = 40
|
||||
consumer_price_index = 0.1
|
||||
number_of_years = 30
|
||||
consumer_price_index = 0.04
|
||||
discount_rate = 0.06
|
||||
retrofitting_scenario = 1
|
||||
#retrofitting_scenario = 2
|
||||
catalog = CostCatalogFactory('montreal_custom').catalog
|
||||
|
||||
for i in range(1,4) :
|
||||
for building in city.buildings:
|
||||
lcc = LifeCycleCosts(building, catalog, number_of_years, consumer_price_index, discount_rate, retrofitting_scenario)
|
||||
lcc = LifeCycleCosts(building, catalog, number_of_years, consumer_price_index, discount_rate, i)
|
||||
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'total capital costs scenario {i} are {total_capital_costs}')
|
||||
end_of_life_costs = lcc.calculate_end_of_life_costs()
|
||||
print(f'end_of_life_costs scenario {i} are {end_of_life_costs}')
|
||||
total_operational_costs = lcc.calculate_total_operational_costs()
|
||||
print(f'total_operational_costs scenario {i} are {total_operational_costs}')
|
||||
total_maintenance_costs = lcc.calculate_total_maintenance_costs()
|
||||
print(f'total_maintenance_costs scenario {i} are {total_maintenance_costs}')
|
||||
life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
|
||||
print(f'life_cycle_costs scenario {i} are {life_cycle_costs}')
|
||||
|
||||
Loading…
Reference in New Issue
Block a user