def disconnected_building_main(locator, total_demand, config, prices, lca):
"""
This functions optimizes disconnected buildings individually
:param locator: locator class
:type locator: class
:return: elecCosts, elecCO2, elecPrim
:rtype: tuple
"""
# local variables
buildings_name_with_heating = get_building_names_with_load(total_demand, load_name='QH_sys_MWhyr')
buildings_name_with_space_heating = get_building_names_with_load(total_demand, load_name='Qhs_sys_MWhyr')
buildings_name_with_cooling = get_building_names_with_load(total_demand, load_name='QC_sys_MWhyr')
if buildings_name_with_heating and buildings_name_with_space_heating:
decentralized_buildings_heating.disconnected_buildings_heating_main(locator, total_demand,
buildings_name_with_heating,
config, prices, lca)
if buildings_name_with_cooling:
decentralized_buildings_cooling.disconnected_buildings_cooling_main(locator,
buildings_name_with_cooling,
total_demand,
config, prices, lca)
print("done.")
def disconnected_building_main(locator, building_names, config, prices, lca):
"""
This function computes the parameters for the electrical demand contributing to the pareto optimal alternatives.
in the future, this aspect should be included in the optimization itself.
:param locator: locator class
:param gv: global variables class
:type locator: class
:type gv: class
:return: elecCosts, elecCO2, elecPrim
:rtype: tuple
"""
if config.region == 'SIN':
decentralized_buildings_cooling.disconnected_buildings_cooling_main(
locator, building_names, config, prices, lca)
elif config.region == 'CH':
decentralized_buildings_heating.disconnected_buildings_heating_main(
locator, building_names, config, prices, lca)
else:
raise ValueError("the region is not specified correctly")
print "Run decentralized model for buildings"
def disconnected_building_main(locator, building_names, config, prices, lca):
"""
This function computes the parameters for the electrical demand contributing to the pareto optimal alternatives.
in the future, this aspect should be included in the optimization itself.
:param locator: locator class
:param gv: global variables class
:type locator: class
:type gv: class
:return: elecCosts, elecCO2, elecPrim
:rtype: tuple
"""
controls = pd.read_excel(locator.get_archetypes_system_controls(config.region))
if controls['has-cooling-season'].item() or controls['has-heating-season'].item():
if controls['has-cooling-season'].item():
decentralized_buildings_cooling.disconnected_buildings_cooling_main(locator, building_names, config, prices, lca)
if controls['has-heating-season'].item():
decentralized_buildings_heating.disconnected_buildings_heating_main(locator, building_names, config, prices, lca)
else:
raise ValueError("The case study has neither a heating nor a cooling season, please specify in system_controls.xlsx")
print "Run decentralized model for buildings"