补充加热装置、冷凝器和涡轮质量计算

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ljz committed 2026-06-22 17:08:04 +08:00
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commit 5709ed5f71
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@@ -1,6 +1,10 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
"""Component models used by Brayton cycle simulations.""" """Component models used by Brayton cycle simulations."""
import math
import ctREFPROP.ctREFPROP as ct
class ComponentMassMixin: class ComponentMassMixin:
"""Shared mass-calculation interface for cycle components.""" """Shared mass-calculation interface for cycle components."""
@@ -66,9 +70,8 @@ class ComponentMassMixin:
self.variables["mass_variables"] = self.mass_variables self.variables["mass_variables"] = self.mass_variables
return self.mass return self.mass
class Compressor(ComponentMassMixin): class Compressor():
"""压缩机类""" """压缩机类"""
component_type = "compressor"
def __init__(self, name, eff): def __init__(self, name, eff):
""" """
初始化参数 初始化参数
@@ -84,7 +87,6 @@ class Compressor(ComponentMassMixin):
self.name = name self.name = name
self.eff = eff self.eff = eff
self.variables = None self.variables = None
self._init_mass_interface()
def calculator(self, p_in, T_in, p_out, property_calculator): def calculator(self, p_in, T_in, p_out, property_calculator):
# 先计算熵值 # 先计算熵值
@@ -163,6 +165,40 @@ class Turbine(ComponentMassMixin):
'pi': p_in / p_out 'pi': p_in / p_out
} }
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))',
}
class Recuperator(ComponentMassMixin): class Recuperator(ComponentMassMixin):
"""换热器类""" """换热器类"""
component_type = "recuperator" component_type = "recuperator"
@@ -353,6 +389,52 @@ class Heater(ComponentMassMixin):
'Q_in': Q_input, 'Q_in': Q_input,
} }
def _calculate_mass(
self,
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(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',
}
class Condenser(ComponentMassMixin): class Condenser(ComponentMassMixin):
"""冷凝器类""" """冷凝器类"""
component_type = "condenser" component_type = "condenser"
@@ -381,6 +463,127 @@ class Condenser(ComponentMassMixin):
'Q_out': Q_output, 'Q_out': Q_output,
} }
def _calculate_mass(
self,
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.
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
class Concentrator(ComponentMassMixin): class Concentrator(ComponentMassMixin):
"""汇流组件""" """汇流组件"""
component_type = "concentrator" component_type = "concentrator"
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@@ -61,6 +61,8 @@ class BraytonCycle:
"""Calculate mass for each initialized component.""" """Calculate mass for each initialized component."""
component_masses = {} component_masses = {}
for component in self.iter_components(): for component in self.iter_components():
if not hasattr(component, "calculate_mass"):
continue
mass = component.calculate_mass(mass_model=mass_model, **kwargs) mass = component.calculate_mass(mass_model=mass_model, **kwargs)
key = component.variables.get("name", component.name) key = component.variables.get("name", component.name)
component_masses[key] = { component_masses[key] = {