4 changed files with 583 additions and 179 deletions

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+44
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@@ -10,6 +10,29 @@ from .components import (
Turbine,
)
from .cycles import BraytonCycle
from .mass_models import (
PCHEGeometry,
PCHEMaterial,
PCHEDesignOptions,
PCHE_STATE_UNIT_CONVENTION,
calculate_condenser_mass,
calculate_heater_mass,
calculate_turbine_mass,
calculate_water_outlet_temperature,
flow_velocity,
friction_factor,
gnielinski_f_star,
heat_transfer_coefficient,
nusselt_number,
overall_heat_transfer_coefficient,
pche_channel_flow_area,
pche_channel_wetted_perimeter,
pche_equivalent_diameter,
prandtl_number,
pressure_drop_pa,
reynolds_number,
validate_pche_state,
)
from .optimization import (
optimize_rc_fixed_param,
optimize_rc_param,
@@ -33,15 +56,36 @@ __all__ = [
"Concentrator",
"Condenser",
"Heater",
"PCHEGeometry",
"PCHEMaterial",
"PCHEDesignOptions",
"PCHE_STATE_UNIT_CONVENTION",
"Recuperator",
"Turbine",
"calculate_condenser_mass",
"calculate_heater_mass",
"calculate_turbine_mass",
"calculate_water_outlet_temperature",
"flow_velocity",
"friction_factor",
"gnielinski_f_star",
"heat_transfer_coefficient",
"evaluate_rc_efficiency",
"local_rc_component_performance_sensitivity",
"local_rc_design_sensitivity",
"nusselt_number",
"optimize_rc_fixed_param",
"optimize_rc_param",
"overall_heat_transfer_coefficient",
"pche_channel_flow_area",
"pche_channel_wetted_perimeter",
"pche_equivalent_diameter",
"plot_optimization_landscape",
"plot_sweep_optimization_results",
"prandtl_number",
"pressure_drop_pa",
"reynolds_number",
"scan_rc_efficiency",
"sweep_and_optimize_rc",
"validate_pche_state",
]
+28 -178
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@@ -1,9 +1,11 @@
# -*- coding: utf-8 -*-
"""Component models used by Brayton cycle simulations."""
import math
import ctREFPROP.ctREFPROP as ct
from .mass_models import (
calculate_condenser_mass,
calculate_heater_mass,
calculate_turbine_mass,
)
class ComponentMassMixin:
@@ -166,38 +168,7 @@ class Turbine(ComponentMassMixin):
}
def _calculate_mass(self, Pe=None, A=0.5, **kwargs):
"""Estimate turbine/TAC mass with the empirical TAC formula.
Formula from the provided reference:
M = A * sqrt(0.5*pi*(30.522*ln(Pe) - 5.7178))
If Pe is not supplied, the current turbine specific work ``Wt`` is used
directly as Pe without unit conversion.
"""
if not 0.4 <= A <= 0.8:
raise ValueError("A should be within the recommended range 0.4-0.8")
if Pe is None:
Pe = abs(self.variables['Wt'])
if Pe <= 0:
raise ValueError("Pe must be positive")
fit_term = 30.522 * math.log(Pe) - 5.7178
if fit_term <= 0:
raise ValueError(
"Pe is outside the valid logarithmic domain for this "
"empirical mass formula"
)
mass = A * math.sqrt(0.5 * math.pi * fit_term)
return {
'mass': mass,
'A': A,
'Pe': Pe,
'fit_term': fit_term,
'formula': 'A*sqrt(0.5*pi*(30.522*ln(Pe)-5.7178))',
}
return calculate_turbine_mass(self, Pe=Pe, A=A, **kwargs)
class Recuperator(ComponentMassMixin):
"""换热器类"""
@@ -397,43 +368,14 @@ class Heater(ComponentMassMixin):
include_shielding=True,
**kwargs,
):
"""Estimate reactor and shielding mass for the heater module.
Reactor empirical formula from the provided reference:
M_reactor = 0.2195 * P_heat + 0.09836
P_heat is the reactor thermal power in MWt, and masses are in tons.
The shielding mass is added as a constant 2.8 ton by default.
If P_heat_mwt is not supplied, it is estimated from Q_in and
mass_flow_rate, assuming Q_in is kJ/kg and mass_flow_rate is kg/s:
P_heat_mwt = abs(Q_in) * mass_flow_rate / 1000
"""
if P_heat_mwt is None:
if mass_flow_rate is None:
raise ValueError(
"Heater mass calculation requires P_heat_mwt, or "
"mass_flow_rate to estimate P_heat_mwt from Q_in."
)
P_heat_mwt = abs(self.variables['Q_in']) * mass_flow_rate / 1000
if P_heat_mwt <= 0:
raise ValueError("P_heat_mwt must be positive")
if shielding_mass_ton < 0:
raise ValueError("shielding_mass_ton must be non-negative")
reactor_mass_ton = 0.2195 * P_heat_mwt + 0.09836
shielding_mass = shielding_mass_ton if include_shielding else 0.0
total_mass_ton = reactor_mass_ton + shielding_mass
return {
'mass': total_mass_ton,
'reactor_mass_ton': reactor_mass_ton,
'shielding_mass_ton': shielding_mass,
'P_heat_mwt': P_heat_mwt,
'include_shielding': include_shielding,
'formula': '0.2195*P_heat+0.09836+shielding_mass',
}
return calculate_heater_mass(
self,
P_heat_mwt=P_heat_mwt,
mass_flow_rate=mass_flow_rate,
shielding_mass_ton=shielding_mass_ton,
include_shielding=include_shielding,
**kwargs,
)
class Condenser(ComponentMassMixin):
"""冷凝器类"""
@@ -477,112 +419,20 @@ class Condenser(ComponentMassMixin):
area_density=6.75,
**kwargs,
):
"""Estimate radiator mass for the condenser module.
Radiator heat rejection model:
Qc = phi * sigma * A_rad * (T**4 - T0**4)
M_rad = kappa * A_rad
The NaK coolant in the reference is represented here by water. If
coolant_outlet_T is not supplied, water outlet temperature is evaluated
with REFPROP from water_inlet_T, water_mass_flow_rate, and Qc_kw.
Args:
Qc_kw: Total heat rejection in kW.
co2_mass_flow_rate: Optional kg/s. If Qc_kw is not supplied, Qc_kw
is estimated as Q_out * co2_mass_flow_rate, assuming Q_out is
kJ/kg.
coolant_outlet_T: Radiator coolant outlet temperature T in K.
water_inlet_T: Water inlet temperature in K for REFPROP calculation.
water_mass_flow_rate: Water mass flow rate in kg/s.
water_pressure_kpa: Water pressure for REFPROP calculation.
refprop_path: REFPROP root path.
emissivity: Radiator surface emissivity phi.
surface_temperature: Ambient/surface temperature T0 in K. Default is
-63 degC for Mars, 210.15 K.
area_density: Radiator face density kappa in kg/m2.
"""
if Qc_kw is None:
if co2_mass_flow_rate is None:
raise ValueError(
"Condenser mass calculation requires Qc_kw, or "
"co2_mass_flow_rate to estimate Qc_kw from Q_out."
)
Qc_kw = abs(self.variables['Q_out']) * co2_mass_flow_rate
if Qc_kw <= 0:
raise ValueError("Qc_kw must be positive")
if emissivity <= 0:
raise ValueError("emissivity must be positive")
if area_density <= 0:
raise ValueError("area_density must be positive")
if coolant_outlet_T is None:
coolant_outlet_T = self._calculate_water_outlet_temperature(
Qc_kw=Qc_kw,
water_inlet_T=water_inlet_T,
water_mass_flow_rate=water_mass_flow_rate,
water_pressure_kpa=water_pressure_kpa,
refprop_path=refprop_path,
)
temperature_term = coolant_outlet_T**4 - surface_temperature**4
if temperature_term <= 0:
raise ValueError(
"coolant_outlet_T must be higher than surface_temperature for "
"radiative heat rejection"
)
stefan_boltzmann = 5.670374419e-8
Qc_w = Qc_kw * 1000
area_m2 = Qc_w / (emissivity * stefan_boltzmann * temperature_term)
mass_kg = area_density * area_m2
return {
'mass': mass_kg,
'radiator_area_m2': area_m2,
'Qc_kw': Qc_kw,
'coolant_outlet_T': coolant_outlet_T,
'surface_temperature': surface_temperature,
'emissivity': emissivity,
'area_density': area_density,
'mass_unit': 'kg',
'formula': 'M_rad=kappa*Qc/(phi*sigma*(T^4-T0^4))',
}
def _calculate_water_outlet_temperature(
self,
Qc_kw,
water_inlet_T,
water_mass_flow_rate,
water_pressure_kpa,
refprop_path,
):
if water_inlet_T is None or water_mass_flow_rate is None:
raise ValueError(
"Provide coolant_outlet_T directly, or provide water_inlet_T "
"and water_mass_flow_rate for REFPROP water calculation."
)
if water_mass_flow_rate <= 0:
raise ValueError("water_mass_flow_rate must be positive")
water = ct.REFPROPFunctionLibrary(refprop_path)
water.SETUPdll(1, 'WATER.FLD', 'HMX.BNC', 'DEF')
water.SETUPdll(2, 'SI', 'SI', 'DEF')
z = [1.0]
mw = water.WMOLdll(z)
inlet = water.TPFLSHdll(water_inlet_T, water_pressure_kpa, z)
if inlet.ierr > 0:
raise ValueError(f"REFPROP water inlet calculation error: {inlet.ierr}")
h_in_mass = inlet.h / mw
h_out_mass = h_in_mass + Qc_kw / water_mass_flow_rate
outlet = water.PHFLSHdll(water_pressure_kpa, h_out_mass * mw, z)
if outlet.ierr > 0:
raise ValueError(f"REFPROP water outlet calculation error: {outlet.ierr}")
return outlet.T
return calculate_condenser_mass(
self,
Qc_kw=Qc_kw,
co2_mass_flow_rate=co2_mass_flow_rate,
coolant_outlet_T=coolant_outlet_T,
water_inlet_T=water_inlet_T,
water_mass_flow_rate=water_mass_flow_rate,
water_pressure_kpa=water_pressure_kpa,
refprop_path=refprop_path,
emissivity=emissivity,
surface_temperature=surface_temperature,
area_density=area_density,
**kwargs,
)
class Concentrator(ComponentMassMixin):
"""汇流组件"""
+484
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@@ -0,0 +1,484 @@
# -*- coding: utf-8 -*-
"""Mass-estimation models for Brayton cycle components."""
from dataclasses import dataclass
import math
PCHE_STATE_UNIT_CONVENTION = {
"P": "kPa",
"T": "K",
"h": "kJ/kg",
"mass_flow_rate": "kg/s",
"density": "kg/m3",
"viscosity": "Pa*s",
"thermal_conductivity": "W/(m*K)",
"specific_heat": "J/(kg*K)",
"length": "m",
"area": "m2",
"pressure_drop": "Pa",
"mass": "kg",
}
@dataclass(frozen=True)
class PCHEGeometry:
"""Default PCHE channel geometry from Yuan et al."""
channel_diameter_m: float = 0.002
channel_pitch_m: float = 0.0024
plate_thickness_m: float = 0.0015
def __post_init__(self):
_require_positive("channel_diameter_m", self.channel_diameter_m)
_require_positive("channel_pitch_m", self.channel_pitch_m)
_require_positive("plate_thickness_m", self.plate_thickness_m)
@property
def flow_area_m2(self):
return pche_channel_flow_area(self)
@property
def wetted_perimeter_m(self):
return pche_channel_wetted_perimeter(self)
@property
def equivalent_diameter_m(self):
return pche_equivalent_diameter(self)
@dataclass(frozen=True)
class PCHEMaterial:
"""Default Inconel 617 material data from Yuan et al."""
density_kg_m3: float = 8360.0
thermal_conductivity_w_m_k: float = 21.0
def __post_init__(self):
_require_positive("density_kg_m3", self.density_kg_m3)
_require_positive(
"thermal_conductivity_w_m_k",
self.thermal_conductivity_w_m_k,
)
@dataclass(frozen=True)
class PCHEDesignOptions:
"""Numerical and design limits for the Yuan-style PCHE calculation."""
num_segments: int = 50
allowable_pressure_drop_ratio: float = 0.01
outlet_temperature_tolerance_k: float = 1.0e-3
max_iterations: int = 100
reynolds_transition: float = 2300.0
def __post_init__(self):
if self.num_segments < 1:
raise ValueError("num_segments must be at least 1")
if self.max_iterations < 1:
raise ValueError("max_iterations must be at least 1")
_require_positive(
"allowable_pressure_drop_ratio",
self.allowable_pressure_drop_ratio,
)
_require_positive(
"outlet_temperature_tolerance_k",
self.outlet_temperature_tolerance_k,
)
_require_positive("reynolds_transition", self.reynolds_transition)
def _require_positive(name, value):
_require_finite(name, value)
if value <= 0:
raise ValueError(f"{name} must be positive")
def _require_finite(name, value):
if not math.isfinite(value):
raise ValueError(f"{name} must be finite")
def validate_pche_state(state, state_name="state", require_transport=False):
"""Validate the state fields expected by the PCHE mass model."""
required = ("P", "T", "h")
missing = [key for key in required if key not in state]
if missing:
raise ValueError(f"{state_name} missing required keys: {', '.join(missing)}")
_require_positive(f"{state_name}.P", state["P"])
_require_positive(f"{state_name}.T", state["T"])
_require_finite(f"{state_name}.h", state["h"])
if require_transport:
transport_keys = (
"rho",
"cp_mass",
"mu",
"thermal_conductivity",
)
missing = [key for key in transport_keys if key not in state]
if missing:
raise ValueError(
f"{state_name} missing transport keys: {', '.join(missing)}"
)
for key in transport_keys:
_require_positive(f"{state_name}.{key}", state[key])
def pche_channel_flow_area(geometry=None):
"""Return the semicircular PCHE channel flow area in m2."""
geometry = geometry or PCHEGeometry()
diameter = geometry.channel_diameter_m
return math.pi * diameter**2 / 8.0
def pche_channel_wetted_perimeter(geometry=None):
"""Return the Yuan PCHE channel wetted perimeter in m."""
geometry = geometry or PCHEGeometry()
diameter = geometry.channel_diameter_m
return math.pi * diameter / 2.0 + diameter
def pche_equivalent_diameter(geometry=None):
"""Return the Yuan PCHE equivalent diameter in m."""
area = pche_channel_flow_area(geometry)
perimeter = pche_channel_wetted_perimeter(geometry)
return 4.0 * area / perimeter
def flow_velocity(
mass_flow_rate_kg_s,
density_kg_m3,
flow_area_m2,
parallel_channels=1,
):
"""Return average channel velocity in m/s."""
_require_positive("mass_flow_rate_kg_s", mass_flow_rate_kg_s)
_require_positive("density_kg_m3", density_kg_m3)
_require_positive("flow_area_m2", flow_area_m2)
if parallel_channels < 1:
raise ValueError("parallel_channels must be at least 1")
channel_mass_flow = mass_flow_rate_kg_s / parallel_channels
return channel_mass_flow / (density_kg_m3 * flow_area_m2)
def reynolds_number(
density_kg_m3,
velocity_m_s,
hydraulic_diameter_m,
viscosity_pa_s,
):
"""Return Reynolds number."""
_require_positive("density_kg_m3", density_kg_m3)
_require_positive("velocity_m_s", velocity_m_s)
_require_positive("hydraulic_diameter_m", hydraulic_diameter_m)
_require_positive("viscosity_pa_s", viscosity_pa_s)
return density_kg_m3 * velocity_m_s * hydraulic_diameter_m / viscosity_pa_s
def prandtl_number(
specific_heat_j_kg_k,
viscosity_pa_s,
thermal_conductivity_w_m_k,
):
"""Return Prandtl number."""
_require_positive("specific_heat_j_kg_k", specific_heat_j_kg_k)
_require_positive("viscosity_pa_s", viscosity_pa_s)
_require_positive(
"thermal_conductivity_w_m_k",
thermal_conductivity_w_m_k,
)
return specific_heat_j_kg_k * viscosity_pa_s / thermal_conductivity_w_m_k
def gnielinski_f_star(reynolds):
"""Return the turbulent f* term used in Yuan et al.'s Nu correlation."""
_require_positive("reynolds", reynolds)
denominator = 1.82 * math.log10(reynolds) - 1.64
if denominator == 0:
raise ValueError("reynolds gives a zero denominator in f* correlation")
return 1.0 / denominator**2
def nusselt_number(reynolds, prandtl, transition_re=2300.0):
"""Return Nusselt number using Yuan et al.'s laminar/turbulent formulas."""
_require_positive("reynolds", reynolds)
_require_positive("prandtl", prandtl)
_require_positive("transition_re", transition_re)
if reynolds < transition_re:
return 4.36
f_star = gnielinski_f_star(reynolds)
numerator = (f_star / 8.0) * (reynolds - 1000.0) * prandtl
denominator = 1.0 + 12.7 * math.sqrt(f_star / 8.0) * (
prandtl ** (2.0 / 3.0) - 1.0
)
if denominator == 0:
raise ValueError("Nusselt correlation denominator is zero")
return numerator / denominator
def heat_transfer_coefficient(
nusselt,
thermal_conductivity_w_m_k,
hydraulic_diameter_m,
):
"""Return convective heat-transfer coefficient in W/(m2*K)."""
_require_positive("nusselt", nusselt)
_require_positive(
"thermal_conductivity_w_m_k",
thermal_conductivity_w_m_k,
)
_require_positive("hydraulic_diameter_m", hydraulic_diameter_m)
return nusselt * thermal_conductivity_w_m_k / hydraulic_diameter_m
def overall_heat_transfer_coefficient(
hot_h_w_m2_k,
cold_h_w_m2_k,
wall_thickness_m,
wall_thermal_conductivity_w_m_k,
):
"""Return total heat-transfer coefficient K in W/(m2*K)."""
_require_positive("hot_h_w_m2_k", hot_h_w_m2_k)
_require_positive("cold_h_w_m2_k", cold_h_w_m2_k)
_require_positive("wall_thickness_m", wall_thickness_m)
_require_positive(
"wall_thermal_conductivity_w_m_k",
wall_thermal_conductivity_w_m_k,
)
resistance = (
1.0 / hot_h_w_m2_k
+ 1.0 / cold_h_w_m2_k
+ wall_thickness_m / wall_thermal_conductivity_w_m_k
)
return 1.0 / resistance
def friction_factor(reynolds, transition_re=2300.0):
"""Return Darcy friction factor from Yuan et al.'s piecewise relation."""
_require_positive("reynolds", reynolds)
_require_positive("transition_re", transition_re)
if reynolds < transition_re:
return 64.0 / reynolds
return 0.3164 / reynolds**0.25
def pressure_drop_pa(
friction_factor_value,
length_m,
hydraulic_diameter_m,
density_kg_m3,
velocity_m_s,
):
"""Return channel pressure drop in Pa."""
_require_positive("friction_factor_value", friction_factor_value)
_require_positive("length_m", length_m)
_require_positive("hydraulic_diameter_m", hydraulic_diameter_m)
_require_positive("density_kg_m3", density_kg_m3)
_require_positive("velocity_m_s", velocity_m_s)
return (
friction_factor_value
* length_m
/ hydraulic_diameter_m
* density_kg_m3
* velocity_m_s**2
/ 2.0
)
def calculate_turbine_mass(component, Pe=None, A=0.5, **kwargs):
"""Estimate turbine/TAC mass with the empirical TAC formula.
Formula from the provided reference:
M = A * sqrt(0.5*pi*(30.522*ln(Pe) - 5.7178))
If Pe is not supplied, the current turbine specific work ``Wt`` is used
directly as Pe without unit conversion.
"""
if not 0.4 <= A <= 0.8:
raise ValueError("A should be within the recommended range 0.4-0.8")
if Pe is None:
Pe = abs(component.variables["Wt"])
if Pe <= 0:
raise ValueError("Pe must be positive")
fit_term = 30.522 * math.log(Pe) - 5.7178
if fit_term <= 0:
raise ValueError(
"Pe is outside the valid logarithmic domain for this "
"empirical mass formula"
)
mass = A * math.sqrt(0.5 * math.pi * fit_term)
return {
"mass": mass,
"A": A,
"Pe": Pe,
"fit_term": fit_term,
"formula": "A*sqrt(0.5*pi*(30.522*ln(Pe)-5.7178))",
}
def calculate_heater_mass(
component,
P_heat_mwt=None,
mass_flow_rate=None,
shielding_mass_ton=2.8,
include_shielding=True,
**kwargs,
):
"""Estimate reactor and shielding mass for the heater module.
Reactor empirical formula from the provided reference:
M_reactor = 0.2195 * P_heat + 0.09836
P_heat is the reactor thermal power in MWt, and masses are in tons.
The shielding mass is added as a constant 2.8 ton by default.
If P_heat_mwt is not supplied, it is estimated from Q_in and
mass_flow_rate, assuming Q_in is kJ/kg and mass_flow_rate is kg/s:
P_heat_mwt = abs(Q_in) * mass_flow_rate / 1000
"""
if P_heat_mwt is None:
if mass_flow_rate is None:
raise ValueError(
"Heater mass calculation requires P_heat_mwt, or "
"mass_flow_rate to estimate P_heat_mwt from Q_in."
)
P_heat_mwt = abs(component.variables["Q_in"]) * mass_flow_rate / 1000
if P_heat_mwt <= 0:
raise ValueError("P_heat_mwt must be positive")
if shielding_mass_ton < 0:
raise ValueError("shielding_mass_ton must be non-negative")
reactor_mass_ton = 0.2195 * P_heat_mwt + 0.09836
shielding_mass = shielding_mass_ton if include_shielding else 0.0
total_mass_ton = reactor_mass_ton + shielding_mass
return {
"mass": total_mass_ton,
"reactor_mass_ton": reactor_mass_ton,
"shielding_mass_ton": shielding_mass,
"P_heat_mwt": P_heat_mwt,
"include_shielding": include_shielding,
"formula": "0.2195*P_heat+0.09836+shielding_mass",
}
def calculate_condenser_mass(
component,
Qc_kw=None,
co2_mass_flow_rate=None,
coolant_outlet_T=None,
water_inlet_T=None,
water_mass_flow_rate=None,
water_pressure_kpa=101.325,
refprop_path="C:/Program Files (x86)/REFPROP 10.0+/REFPROP",
emissivity=0.92,
surface_temperature=210.15,
area_density=6.75,
**kwargs,
):
"""Estimate radiator mass for the condenser module.
Radiator heat rejection model:
Qc = phi * sigma * A_rad * (T**4 - T0**4)
M_rad = kappa * A_rad
The NaK coolant in the reference is represented here by water. If
coolant_outlet_T is not supplied, water outlet temperature is evaluated
with REFPROP from water_inlet_T, water_mass_flow_rate, and Qc_kw.
"""
if Qc_kw is None:
if co2_mass_flow_rate is None:
raise ValueError(
"Condenser mass calculation requires Qc_kw, or "
"co2_mass_flow_rate to estimate Qc_kw from Q_out."
)
Qc_kw = abs(component.variables["Q_out"]) * co2_mass_flow_rate
if Qc_kw <= 0:
raise ValueError("Qc_kw must be positive")
if emissivity <= 0:
raise ValueError("emissivity must be positive")
if area_density <= 0:
raise ValueError("area_density must be positive")
if coolant_outlet_T is None:
coolant_outlet_T = calculate_water_outlet_temperature(
Qc_kw=Qc_kw,
water_inlet_T=water_inlet_T,
water_mass_flow_rate=water_mass_flow_rate,
water_pressure_kpa=water_pressure_kpa,
refprop_path=refprop_path,
)
temperature_term = coolant_outlet_T**4 - surface_temperature**4
if temperature_term <= 0:
raise ValueError(
"coolant_outlet_T must be higher than surface_temperature for "
"radiative heat rejection"
)
stefan_boltzmann = 5.670374419e-8
Qc_w = Qc_kw * 1000
area_m2 = Qc_w / (emissivity * stefan_boltzmann * temperature_term)
mass_kg = area_density * area_m2
return {
"mass": mass_kg,
"radiator_area_m2": area_m2,
"Qc_kw": Qc_kw,
"coolant_outlet_T": coolant_outlet_T,
"surface_temperature": surface_temperature,
"emissivity": emissivity,
"area_density": area_density,
"mass_unit": "kg",
"formula": "M_rad=kappa*Qc/(phi*sigma*(T^4-T0^4))",
}
def calculate_water_outlet_temperature(
Qc_kw,
water_inlet_T,
water_mass_flow_rate,
water_pressure_kpa,
refprop_path,
):
"""Calculate water outlet temperature for the condenser mass model."""
import ctREFPROP.ctREFPROP as ct
if water_inlet_T is None or water_mass_flow_rate is None:
raise ValueError(
"Provide coolant_outlet_T directly, or provide water_inlet_T "
"and water_mass_flow_rate for REFPROP water calculation."
)
if water_mass_flow_rate <= 0:
raise ValueError("water_mass_flow_rate must be positive")
water = ct.REFPROPFunctionLibrary(refprop_path)
water.SETUPdll(1, "WATER.FLD", "HMX.BNC", "DEF")
water.SETUPdll(2, "SI", "SI", "DEF")
z = [1.0]
mw = water.WMOLdll(z)
inlet = water.TPFLSHdll(water_inlet_T, water_pressure_kpa, z)
if inlet.ierr > 0:
raise ValueError(f"REFPROP water inlet calculation error: {inlet.ierr}")
h_in_mass = inlet.h / mw
h_out_mass = h_in_mass + Qc_kw / water_mass_flow_rate
outlet = water.PHFLSHdll(water_pressure_kpa, h_out_mass * mw, z)
if outlet.ierr > 0:
raise ValueError(f"REFPROP water outlet calculation error: {outlet.ierr}")
return outlet.T
+27 -1
View File
@@ -15,7 +15,7 @@ class CO2PropertyCalculator():
self.rp.SETUPdll(2, 'SI', 'SI', 'DEF')
self.z = [1.0]
self.mw = self.rp.WMOLdll(self.z)
def calculate_properties(self, T=None, P=None, h=None, s=None):
def calculate_properties(self, T=None, P=None, h=None, s=None, include_transport=False):
"""计算二氧化碳物性"""
if T is not None and P is not None:
# 已知Tp
@@ -62,4 +62,30 @@ class CO2PropertyCalculator():
properties['D'] = result.D
properties['cp'] = result.Cp
properties['cv'] = result.Cv,
properties['rho'] = result.D * self.mw
properties['cp_mass'] = result.Cp / self.mw * 1000.0
properties['cv_mass'] = result.Cv / self.mw * 1000.0
if include_transport:
self._add_transport_properties(properties, result)
return properties
def _add_transport_properties(self, properties, result):
"""Add CO2 transport properties needed by PCHE correlations."""
transport = self.rp.TRNPRPdll(properties['T'], result.D, self.z)
if getattr(transport, 'ierr', 0) > 0:
raise ValueError(f"REFPROP transport calculation error:{transport.ierr}")
viscosity_micro_pa_s = getattr(transport, 'eta', None)
thermal_conductivity = getattr(transport, 'tcx', None)
if viscosity_micro_pa_s is None:
viscosity_micro_pa_s = getattr(transport, 'visc', None)
if thermal_conductivity is None:
thermal_conductivity = getattr(transport, 'tcond', None)
if viscosity_micro_pa_s is None or thermal_conductivity is None:
raise ValueError("REFPROP transport result missing viscosity or conductivity")
viscosity_pa_s = viscosity_micro_pa_s * 1.0e-6
properties['mu'] = viscosity_pa_s
properties['viscosity'] = viscosity_pa_s
properties['lambda'] = thermal_conductivity
properties['thermal_conductivity'] = thermal_conductivity