def calc_vcc_operation(Qc_from_VCC_W, T_DCN_re_K, T_DCN_sup_K, T_source_K, chiller_size, VCC_chiller):
Qc_from_VCC_W = min(Qc_from_VCC_W, chiller_size) # The chiller can not supply more cooling than the installed capacity allows
VCC_operation = chiller_vapor_compression.calc_VCC(chiller_size, Qc_from_VCC_W, T_DCN_sup_K, T_DCN_re_K, T_source_K, VCC_chiller)
# unpack outputs
Qc_VCC_W = VCC_operation['q_chw_W']
E_used_VCC_W = VCC_operation['wdot_W']
return Qc_VCC_W, E_used_VCC_W
def calc_vcc_operation(Qc_from_VCC_W, T_DCN_re_K, T_DCN_sup_K, prices, lca, limits):
mdot_VCC_kgpers = Qc_from_VCC_W / ((T_DCN_re_K - T_DCN_sup_K) * HEAT_CAPACITY_OF_WATER_JPERKGK)
VCC_operation = chiller_vapor_compression.calc_VCC(mdot_VCC_kgpers, T_DCN_sup_K, T_DCN_re_K, limits['Qnom_VCC_W'], limits['number_of_VCC_chillers'])
# unpack outputs
opex = VCC_operation['wdot_W'] * lca.ELEC_PRICE
co2 = VCC_operation['wdot_W'] * lca.EL_TO_CO2 * 3600E-6
prim_energy = VCC_operation['wdot_W'] * lca.EL_TO_OIL_EQ * 3600E-6
Qc_CT_W = VCC_operation['q_cw_W']
return opex, co2, prim_energy, Qc_CT_W
def calc_vcc_backup_operation(Qc_from_VCC_backup_W, T_DCN_re_K, T_DCN_sup_K, prices, lca, limits):
mdot_VCC_kgpers = Qc_from_VCC_backup_W / ((T_DCN_re_K - T_DCN_sup_K) * HEAT_CAPACITY_OF_WATER_JPERKGK)
VCC_operation = chiller_vapor_compression.calc_VCC(mdot_VCC_kgpers, T_DCN_sup_K, T_DCN_re_K, limits['Qnom_VCC_backup_W'], limits['number_of_VCC_backup_chillers'])
# unpack outputs
opex_var_VCC_backup_USD = VCC_operation['wdot_W'] * lca.ELEC_PRICE
co2_VCC_backup_kgCO2perhr = VCC_operation['wdot_W'] * lca.EL_TO_CO2 * 3600E-6
prim_energy_VCC_backup_MJperhr = VCC_operation['wdot_W'] * lca.EL_TO_OIL_EQ * 3600E-6
Qc_CT_VCC_backup_W = VCC_operation['q_cw_W']
E_used_VCC_backup_W = opex_var_VCC_backup_USD / lca.ELEC_PRICE
return opex_var_VCC_backup_USD, co2_VCC_backup_kgCO2perhr, prim_energy_VCC_backup_MJperhr, Qc_CT_VCC_backup_W, E_used_VCC_backup_W
def calc_vcc_operation(Qc_from_VCC_W, T_DCN_re_K, T_DCN_sup_K, T_source_K):
from cea.technologies.constants import G_VALUE_CENTRALIZED # this is where to differentiate chiller performances
VCC_operation = chiller_vapor_compression.calc_VCC(Qc_from_VCC_W, T_DCN_sup_K, T_DCN_re_K, T_source_K,
G_VALUE_CENTRALIZED)
# unpack outputs
Qc_VCC_W = VCC_operation['q_chw_W']
E_used_VCC_W = VCC_operation['wdot_W']
return Qc_VCC_W, E_used_VCC_W
def calc_vcc_operation(Qc_from_VCC_W, T_DCN_re_K, T_DCN_sup_K, T_source_K,
chiller_size, min_VCC_capacity, max_VCC_capacity,
scale):
g_value = G_VALUE_CENTRALIZED # get the isentropic efficiency of the district cooling
Qc_from_VCC_W = min(
Qc_from_VCC_W, chiller_size
) # The chiller can not supply more cooling than the installed capacity allows
VCC_operation = chiller_vapor_compression.calc_VCC(
chiller_size, Qc_from_VCC_W, T_DCN_sup_K, T_DCN_re_K, T_source_K,
g_value, min_VCC_capacity, max_VCC_capacity, scale)
# unpack outputs
Qc_VCC_W = VCC_operation['q_chw_W']
E_used_VCC_W = VCC_operation['wdot_W']
return Qc_VCC_W, E_used_VCC_W
def calc_vcc_CT_operation(Qc_from_VCC_W, T_DCN_re_K, T_DCN_sup_K, T_source_K,
size_chiller_CT, VCC_chiller):
VCC_operation = chiller_vapor_compression.calc_VCC(size_chiller_CT,
Qc_from_VCC_W,
T_DCN_sup_K, T_DCN_re_K,
T_source_K, VCC_chiller)
# unpack outputs
Qc_CT_VCC_W = VCC_operation['q_cw_W']
Qc_VCC_W = VCC_operation['q_chw_W']
# calculate cooling tower
wdot_CT_Wh = CTModel.calc_CT(Qc_CT_VCC_W, size_chiller_CT)
# calcualte energy consumption and variable costs
E_used_VCC_W = (VCC_operation['wdot_W'] + wdot_CT_Wh)
return Qc_VCC_W, E_used_VCC_W
def calc_vcc_CT_operation(Qc_from_VCC_W,
T_DCN_re_K,
T_DCN_sup_K,
T_source_K):
from cea.technologies.constants import G_VALUE_CENTRALIZED # this is where to differentiate chiller performances
VCC_operation = chiller_vapor_compression.calc_VCC(Qc_from_VCC_W, T_DCN_sup_K, T_DCN_re_K, T_source_K,
G_VALUE_CENTRALIZED)
# unpack outputs
Qc_CT_VCC_W = VCC_operation['q_cw_W']
Qc_VCC_W = VCC_operation['q_chw_W']
# calculate cooling tower
wdot_CT_Wh = CTModel.calc_CT(Qc_CT_VCC_W, Qc_CT_VCC_W)
# calcualte energy consumption and variable costs
E_used_VCC_W = (VCC_operation['wdot_W'] + wdot_CT_Wh)
return Qc_VCC_W, E_used_VCC_W
def calc_vcc_CT_operation(Qc_from_VCC_W, T_DCN_re_K, T_DCN_sup_K, T_source_K,
size_chiller_CT, min_VCC_capacity, max_VCC_capacity,
scale):
g_value = G_VALUE_CENTRALIZED
VCC_operation = chiller_vapor_compression.calc_VCC(
size_chiller_CT, Qc_from_VCC_W, T_DCN_sup_K, T_DCN_re_K, T_source_K,
g_value, min_VCC_capacity, max_VCC_capacity, scale)
# unpack outputs
Qc_CT_VCC_W = VCC_operation['q_cw_W']
Qc_VCC_W = VCC_operation['q_chw_W']
# calculate cooling tower
wdot_CT_Wh = CTModel.calc_CT(Qc_CT_VCC_W, size_chiller_CT)
# calcualte energy consumption and variable costs
E_used_VCC_W = (VCC_operation['wdot_W'] + wdot_CT_Wh)
return Qc_VCC_W, E_used_VCC_W