Author SHA1 Message Date
ljz 1a4b050d53 重构质量模型并补充回热器分段建模 2026-06-24 11:23:58 +08:00
5 changed files with 939 additions and 247 deletions

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+20
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@@ -10,6 +10,17 @@ from .components import (
Turbine,
)
from .cycles import BraytonCycle
from .mass_models import (
apply_component_mass,
calculate_component_mass,
condenser_radiator_mass,
has_default_mass_model,
heater_reactor_mass,
initialize_recuperator_segments,
recuperator_pche_mass,
RecuperatorPCHEMassModel,
turbine_tac_mass,
)
from .optimization import (
optimize_rc_fixed_param,
optimize_rc_param,
@@ -34,14 +45,23 @@ __all__ = [
"Condenser",
"Heater",
"Recuperator",
"RecuperatorPCHEMassModel",
"Turbine",
"apply_component_mass",
"calculate_component_mass",
"condenser_radiator_mass",
"evaluate_rc_efficiency",
"has_default_mass_model",
"heater_reactor_mass",
"initialize_recuperator_segments",
"local_rc_component_performance_sensitivity",
"local_rc_design_sensitivity",
"optimize_rc_fixed_param",
"optimize_rc_param",
"plot_optimization_landscape",
"plot_sweep_optimization_results",
"recuperator_pche_mass",
"scan_rc_efficiency",
"sweep_and_optimize_rc",
"turbine_tac_mass",
]
+18 -240
View File
@@ -1,13 +1,9 @@
# -*- coding: utf-8 -*-
"""Component models used by Brayton cycle simulations."""
import math
import ctREFPROP.ctREFPROP as ct
class ComponentMassMixin:
"""Shared mass-calculation interface for cycle components."""
"""Shared mass-result storage interface for cycle components."""
component_type = "component"
@@ -15,43 +11,16 @@ class ComponentMassMixin:
self.mass = None
self.mass_variables = None
def calculate_mass(self, mass_model=None, **kwargs):
"""Calculate and store component mass.
def set_mass_result(self, result):
"""Store a mass-model result on this component.
The future mass model can be provided as either a callable accepting
``(component, **kwargs)`` or an object exposing ``calculate_mass`` or
``calculate_<component_type>_mass``.
Mass formulas live in ``brayton_cycle.mass_models``. Components only
keep the result after their thermodynamic calculator has populated
``variables``.
"""
if self.variables is None:
raise ValueError("Run component calculator before mass calculation")
raise ValueError("Run component calculator before storing mass")
if mass_model is None:
result = self._calculate_mass(**kwargs)
else:
result = self._run_external_mass_model(mass_model, **kwargs)
return self._store_mass_result(result)
def mass_calculator(self, mass_model=None, **kwargs):
return self.calculate_mass(mass_model=mass_model, **kwargs)
def _calculate_mass(self, **kwargs):
raise NotImplementedError(
f"{self.__class__.__name__} mass model is not implemented yet. "
"Pass a mass_model or override _calculate_mass()."
)
def _run_external_mass_model(self, mass_model, **kwargs):
method_name = f"calculate_{self.component_type}_mass"
if hasattr(mass_model, method_name):
return getattr(mass_model, method_name)(self, **kwargs)
if hasattr(mass_model, "calculate_mass"):
return mass_model.calculate_mass(self, **kwargs)
if callable(mass_model):
return mass_model(self, **kwargs)
raise TypeError("mass_model must be callable or expose a supported method")
def _store_mass_result(self, result):
if isinstance(result, dict):
if "mass" in result:
mass = result["mass"]
@@ -70,8 +39,17 @@ class ComponentMassMixin:
self.variables["mass_variables"] = self.mass_variables
return self.mass
class Compressor():
def clear_mass_result(self):
self.mass = None
self.mass_variables = None
if self.variables is not None:
self.variables.pop("mass", None)
self.variables.pop("mass_variables", None)
class Compressor(ComponentMassMixin):
"""压缩机类"""
component_type = "compressor"
def __init__(self, name, eff):
"""
初始化参数
@@ -87,6 +65,7 @@ class Compressor():
self.name = name
self.eff = eff
self.variables = None
self._init_mass_interface()
def calculator(self, p_in, T_in, p_out, property_calculator):
# 先计算熵值
@@ -165,40 +144,6 @@ class Turbine(ComponentMassMixin):
'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):
"""换热器类"""
component_type = "recuperator"
@@ -389,52 +334,6 @@ class Heater(ComponentMassMixin):
'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):
"""冷凝器类"""
component_type = "condenser"
@@ -463,127 +362,6 @@ class Condenser(ComponentMassMixin):
'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):
"""汇流组件"""
component_type = "concentrator"
+30 -6
View File
@@ -9,6 +9,7 @@ from .components import (
Recuperator,
Turbine,
)
from .mass_models import apply_component_mass, has_default_mass_model
from .properties import CO2PropertyCalculator
@@ -57,13 +58,31 @@ class BraytonCycle:
else:
yield value
def calculate_component_masses(self, mass_model=None, **kwargs):
def calculate_component_masses(self, mass_model=None, strict=False, **kwargs):
"""Calculate mass for each initialized component."""
component_masses = {}
for component in self.iter_components():
if not hasattr(component, "calculate_mass"):
if not hasattr(component, "set_mass_result"):
continue
mass = component.calculate_mass(mass_model=mass_model, **kwargs)
if mass_model is None and not has_default_mass_model(component):
if strict:
raise NotImplementedError(
f"No default mass model for component type "
f"{component.component_type!r}."
)
continue
try:
mass = apply_component_mass(
component,
mass_model=mass_model,
**kwargs,
)
except NotImplementedError:
if strict:
raise
continue
key = component.variables.get("name", component.name)
component_masses[key] = {
"component_type": component.component_type,
@@ -74,18 +93,23 @@ class BraytonCycle:
self.component_masses = component_masses
return self.component_masses
def cycle_mass_calculator(self, mass_model=None, **kwargs):
def cycle_mass_calculator(self, mass_model=None, strict=False, **kwargs):
"""Calculate and return total cycle component mass."""
component_masses = self.calculate_component_masses(
mass_model=mass_model,
strict=strict,
**kwargs,
)
self.total_mass = sum(item["mass"] for item in component_masses.values())
return self.total_mass
def calculate_total_mass(self, mass_model=None, **kwargs):
def calculate_total_mass(self, mass_model=None, strict=False, **kwargs):
"""Compatibility alias for cycle_mass_calculator."""
return self.cycle_mass_calculator(mass_model=mass_model, **kwargs)
return self.cycle_mass_calculator(
mass_model=mass_model,
strict=strict,
**kwargs,
)
def SC(self, T_low, T_high, p_low, p_high, param=None):
"""Simple Brayton cycle."""
+861
View File
@@ -0,0 +1,861 @@
# -*- coding: utf-8 -*-
"""Mass assessment models for Brayton-cycle components."""
import math
def _variables_from(component_or_variables):
if isinstance(component_or_variables, dict):
return component_or_variables
if hasattr(component_or_variables, "variables"):
if component_or_variables.variables is None:
raise ValueError("Run component calculator before mass calculation")
return component_or_variables.variables
raise TypeError("Expected component variables dict or component object")
def turbine_tac_mass(variables, 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 turbine specific work ``Wt`` is used directly
as Pe without unit conversion.
"""
variables = _variables_from(variables)
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(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,
"model": "turbine_tac_mass",
"formula": "A*sqrt(0.5*pi*(30.522*ln(Pe)-5.7178))",
}
def heater_reactor_mass(
variables,
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:
M_reactor = 0.2195 * P_heat + 0.09836
P_heat is the reactor thermal power in MWt, and masses are in tons. 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.
"""
variables = _variables_from(variables)
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(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,
"mass_unit": "ton",
"model": "heater_reactor_mass",
"formula": "0.2195*P_heat+0.09836+shielding_mass",
}
def condenser_radiator_mass(
variables,
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.
"""
variables = _variables_from(variables)
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(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",
"model": "condenser_radiator_mass",
"formula": "M_rad=kappa*Qc/(phi*sigma*(T^4-T0^4))",
}
class RecuperatorPCHEMassModel:
"""PCHE recuperator mass-model interface and segment initializer."""
def initialize_segments(
self,
variables,
channel_count,
heat_transfer_length_m,
mass_flow_rate=None,
channel_diameter_m=0.002,
property_calculator=None,
hot_inlet_state=None,
hot_outlet_state=None,
cold_inlet_state=None,
cold_outlet_state=None,
):
"""Initialize equal-length PCHE recuperator segments."""
variables = _variables_from(variables)
hot_inlet_state = self._state_from(
variables,
"hot_inlet_state",
hot_inlet_state,
)
hot_outlet_state = self._state_from(
variables,
"hot_outlet_state",
hot_outlet_state,
)
cold_inlet_state = self._state_from(
variables,
"cold_inlet_state",
cold_inlet_state,
)
cold_outlet_state = self._state_from(
variables,
"cold_outlet_state",
cold_outlet_state,
)
if not isinstance(channel_count, int):
raise TypeError("channel_count must be an integer")
if channel_count <= 0:
raise ValueError("channel_count must be positive")
if heat_transfer_length_m <= 0:
raise ValueError("heat_transfer_length_m must be positive")
if mass_flow_rate is not None and mass_flow_rate <= 0:
raise ValueError("mass_flow_rate must be positive")
segment_length_m = heat_transfer_length_m / channel_count
segment_mass_flow_rate = (
None if mass_flow_rate is None else mass_flow_rate / channel_count
)
channel_geometry = self._semicircular_channel_geometry(channel_diameter_m)
segments = []
for index in range(channel_count):
start = index / channel_count
end = (index + 1) / channel_count
hot_segment_in = self._interpolate_state(
hot_inlet_state,
hot_outlet_state,
start,
)
hot_segment_out = self._interpolate_state(
hot_inlet_state,
hot_outlet_state,
end,
)
cold_segment_in = self._interpolate_state(
cold_inlet_state,
cold_outlet_state,
1 - end,
)
cold_segment_out = self._interpolate_state(
cold_inlet_state,
cold_outlet_state,
1 - start,
)
hot_side = self._side_flow_result(
property_calculator,
inlet_state=hot_segment_in,
outlet_state=hot_segment_out,
mass_flow_rate=segment_mass_flow_rate,
flow_area_m2=channel_geometry["flow_area_m2"],
length_m=segment_length_m,
hydraulic_diameter_m=channel_geometry["hydraulic_diameter_m"],
)
cold_side = self._side_flow_result(
property_calculator,
inlet_state=cold_segment_in,
outlet_state=cold_segment_out,
mass_flow_rate=segment_mass_flow_rate,
flow_area_m2=channel_geometry["flow_area_m2"],
length_m=segment_length_m,
hydraulic_diameter_m=channel_geometry["hydraulic_diameter_m"],
)
segments.append(
{
"index": index,
"hot_inlet_state": hot_segment_in,
"hot_outlet_state": hot_side["outlet_state"],
"cold_inlet_state": cold_segment_in,
"cold_outlet_state": cold_side["outlet_state"],
"hot_mean_temperature": hot_side["mean_temperature"],
"hot_mean_pressure": hot_side["mean_pressure"],
"hot_flow_velocity_m_s": hot_side["flow_velocity_m_s"],
"hot_heat_transfer_coefficient": (
hot_side["heat_transfer_coefficient"]
),
"cold_mean_temperature": cold_side["mean_temperature"],
"cold_mean_pressure": cold_side["mean_pressure"],
"cold_flow_velocity_m_s": cold_side["flow_velocity_m_s"],
"cold_heat_transfer_coefficient": (
cold_side["heat_transfer_coefficient"]
),
"geometry": {
"channel_count": channel_count,
"length_m": segment_length_m,
"mass_flow_rate": segment_mass_flow_rate,
**channel_geometry,
},
}
)
return {
"channel_count": channel_count,
"heat_transfer_length_m": heat_transfer_length_m,
"mass_flow_rate": mass_flow_rate,
**channel_geometry,
"segment_count": channel_count,
"segment_length_m": segment_length_m,
"segment_mass_flow_rate": segment_mass_flow_rate,
"segments": segments,
}
def calculate_mass(
self,
variables,
hot_inlet_state=None,
hot_outlet_state=None,
cold_inlet_state=None,
cold_outlet_state=None,
Q_exchange=None,
mass_flow_rate=None,
channel_diameter_m=0.002,
property_calculator=None,
channel_count=None,
heat_transfer_length_m=None,
number_of_units=None,
channel_length_m=None,
total_channel_length_m=None,
cross_section_area_m2=None,
material_density=8360.0,
heat_transfer_area_m2=None,
pressure_drop_hot_kpa=None,
pressure_drop_cold_kpa=None,
segment_count=None,
**kwargs,
):
"""Calculate PCHE recuperator mass from initialized design data."""
variables = _variables_from(variables)
hot_inlet_state = self._state_from(
variables,
"hot_inlet_state",
hot_inlet_state,
)
hot_outlet_state = self._state_from(
variables,
"hot_outlet_state",
hot_outlet_state,
)
cold_inlet_state = self._state_from(
variables,
"cold_inlet_state",
cold_inlet_state,
)
cold_outlet_state = self._state_from(
variables,
"cold_outlet_state",
cold_outlet_state,
)
if channel_count is None:
channel_count = number_of_units
if heat_transfer_length_m is None:
heat_transfer_length_m = channel_length_m
if number_of_units is None:
number_of_units = channel_count
if channel_length_m is None:
channel_length_m = heat_transfer_length_m
if Q_exchange is None:
Q_exchange = variables.get("Q_exchange")
if material_density <= 0:
raise ValueError("material_density must be positive")
if cross_section_area_m2 is not None and cross_section_area_m2 <= 0:
raise ValueError("cross_section_area_m2 must be positive")
if number_of_units is not None and number_of_units <= 0:
raise ValueError("number_of_units must be positive")
if channel_length_m is not None and channel_length_m <= 0:
raise ValueError("channel_length_m must be positive")
if total_channel_length_m is not None and total_channel_length_m <= 0:
raise ValueError("total_channel_length_m must be positive")
if heat_transfer_area_m2 is not None and heat_transfer_area_m2 <= 0:
raise ValueError("heat_transfer_area_m2 must be positive")
if mass_flow_rate is not None and mass_flow_rate <= 0:
raise ValueError("mass_flow_rate must be positive")
segment_data = None
if channel_count is not None and heat_transfer_length_m is not None:
segment_data = self.initialize_segments(
variables,
channel_count=channel_count,
heat_transfer_length_m=heat_transfer_length_m,
mass_flow_rate=mass_flow_rate,
channel_diameter_m=channel_diameter_m,
property_calculator=property_calculator,
hot_inlet_state=hot_inlet_state,
hot_outlet_state=hot_outlet_state,
cold_inlet_state=cold_inlet_state,
cold_outlet_state=cold_outlet_state,
)
segment_count = segment_data["segment_count"]
if total_channel_length_m is None:
if number_of_units is not None and channel_length_m is not None:
total_channel_length_m = number_of_units * channel_length_m
if total_channel_length_m is None or cross_section_area_m2 is None:
raise NotImplementedError(
"Segmented PCHE recuperator mass calculation is not "
"implemented yet. Provide final geometric design results "
"(number_of_units + channel_length_m + cross_section_area_m2, "
"or total_channel_length_m + cross_section_area_m2) to close "
"M_heat=N*L*Area*rho."
)
mass_kg = total_channel_length_m * cross_section_area_m2
mass_kg *= material_density
return {
"mass": mass_kg,
"mass_unit": "kg",
"model": "recuperator_pche_mass",
"formula": "M_heat=N*L*Area*rho",
"hot_inlet_state": hot_inlet_state,
"hot_outlet_state": hot_outlet_state,
"cold_inlet_state": cold_inlet_state,
"cold_outlet_state": cold_outlet_state,
"Q_exchange": Q_exchange,
"mass_flow_rate": mass_flow_rate,
**self._semicircular_channel_geometry(channel_diameter_m),
"channel_count": channel_count,
"heat_transfer_length_m": heat_transfer_length_m,
"number_of_units": number_of_units,
"channel_length_m": channel_length_m,
"total_channel_length_m": total_channel_length_m,
"cross_section_area_m2": cross_section_area_m2,
"material_density": material_density,
"heat_transfer_area_m2": heat_transfer_area_m2,
"pressure_drop_hot_kpa": pressure_drop_hot_kpa,
"pressure_drop_cold_kpa": pressure_drop_cold_kpa,
"segment_count": segment_count,
"segment_length_m": (
None if segment_data is None else segment_data["segment_length_m"]
),
"segment_mass_flow_rate": (
None
if segment_data is None
else segment_data["segment_mass_flow_rate"]
),
"segments": None if segment_data is None else segment_data["segments"],
"extra_parameters": dict(kwargs),
}
def calculate_recuperator_mass(self, component, **kwargs):
return self.calculate_mass(component, **kwargs)
@staticmethod
def _density_kg_m3(property_calculator, T, P):
if property_calculator is None:
return None
properties = property_calculator.calculate_properties(T=T, P=P)
if "density_kg_m3" in properties:
return properties["density_kg_m3"]
if "rho" in properties:
return properties["rho"]
if "density" in properties:
return properties["density"]
if "D" not in properties:
raise ValueError("property_calculator result must include density")
density = properties["D"]
mw = getattr(property_calculator, "mw", None)
if mw is None:
return density
return density * mw
@staticmethod
def _flow_velocity(mass_flow_rate, density_kg_m3, flow_area_m2):
if mass_flow_rate is None or density_kg_m3 is None:
return None
if density_kg_m3 <= 0:
raise ValueError("density_kg_m3 must be positive")
return mass_flow_rate / (density_kg_m3 * flow_area_m2)
def _side_flow_result(
self,
property_calculator,
inlet_state,
outlet_state,
mass_flow_rate,
flow_area_m2,
length_m,
hydraulic_diameter_m,
):
outlet_state = dict(outlet_state)
mean_temperature = (inlet_state["T"] + outlet_state["T"]) / 2
mean_pressure = (inlet_state["P"] + outlet_state["P"]) / 2
density = self._density_kg_m3(
property_calculator,
T=mean_temperature,
P=mean_pressure,
)
velocity = self._flow_velocity(mass_flow_rate, density, flow_area_m2)
pressure_drop_kpa = self._pressure_drop_kpa(
property_calculator=property_calculator,
T=mean_temperature,
P=mean_pressure,
density_kg_m3=density,
velocity_m_s=velocity,
length_m=length_m,
hydraulic_diameter_m=hydraulic_diameter_m,
)
if pressure_drop_kpa is not None:
outlet_state["P"] = self.calculate_outlet_pressure(
inlet_state["P"],
pressure_drop_kpa,
)
mean_pressure = (inlet_state["P"] + outlet_state["P"]) / 2
density = self._density_kg_m3(
property_calculator,
T=mean_temperature,
P=mean_pressure,
)
velocity = self._flow_velocity(mass_flow_rate, density, flow_area_m2)
convection = self._convection_result(
property_calculator,
T=mean_temperature,
P=mean_pressure,
density_kg_m3=density,
velocity_m_s=velocity,
hydraulic_diameter_m=hydraulic_diameter_m,
)
return {
"outlet_state": outlet_state,
"mean_temperature": mean_temperature,
"mean_pressure": mean_pressure,
"flow_velocity_m_s": velocity,
"heat_transfer_coefficient": (
convection["heat_transfer_coefficient"]
),
}
@staticmethod
def calculate_outlet_pressure(inlet_pressure_kpa, pressure_drop_kpa):
outlet_pressure_kpa = inlet_pressure_kpa - pressure_drop_kpa
if outlet_pressure_kpa <= 0:
raise ValueError("Calculated outlet pressure must be positive")
return outlet_pressure_kpa
def calculate_segment_outlet_pressure(
self,
inlet_pressure_kpa,
property_calculator,
T,
P,
density_kg_m3,
velocity_m_s,
length_m,
hydraulic_diameter_m,
):
pressure_drop_kpa = self._pressure_drop_kpa(
property_calculator=property_calculator,
T=T,
P=P,
density_kg_m3=density_kg_m3,
velocity_m_s=velocity_m_s,
length_m=length_m,
hydraulic_diameter_m=hydraulic_diameter_m,
)
if pressure_drop_kpa is None:
return None
return self.calculate_outlet_pressure(inlet_pressure_kpa, pressure_drop_kpa)
def _pressure_drop_kpa(
self,
property_calculator,
T,
P,
density_kg_m3,
velocity_m_s,
length_m,
hydraulic_diameter_m,
):
if (
property_calculator is None
or density_kg_m3 is None
or velocity_m_s is None
):
return None
properties = property_calculator.calculate_properties(T=T, P=P)
viscosity = self._pick_positive_property(
properties,
(
"viscosity_pa_s",
"viscosity",
"dynamic_viscosity",
"mu",
),
)
reynolds = (
density_kg_m3
* velocity_m_s
* hydraulic_diameter_m
/ viscosity
)
friction_factor = self._pressure_drop_friction_factor(reynolds)
pressure_drop_pa = (
friction_factor
* length_m
/ hydraulic_diameter_m
* density_kg_m3
* velocity_m_s**2
/ 2
)
return pressure_drop_pa / 1000
@staticmethod
def _pressure_drop_friction_factor(reynolds):
if reynolds <= 0:
raise ValueError("Reynolds number must be positive")
if reynolds < 2300:
return 64 / reynolds
return 0.3164 / reynolds**0.25
def _convection_result(
self,
property_calculator,
T,
P,
density_kg_m3,
velocity_m_s,
hydraulic_diameter_m,
):
if property_calculator is None or density_kg_m3 is None:
return {
"heat_transfer_coefficient": None,
}
if velocity_m_s is None:
return {
"heat_transfer_coefficient": None,
}
properties = property_calculator.calculate_properties(T=T, P=P)
viscosity = self._pick_positive_property(
properties,
(
"viscosity_pa_s",
"viscosity",
"dynamic_viscosity",
"mu",
),
)
thermal_conductivity = self._pick_positive_property(
properties,
(
"thermal_conductivity_w_m_k",
"thermal_conductivity",
"conductivity",
"lambda",
"k",
),
)
cp = self._specific_heat_j_kg_k(properties, property_calculator)
reynolds = (
density_kg_m3
* velocity_m_s
* hydraulic_diameter_m
/ viscosity
)
prandtl = cp * viscosity / thermal_conductivity
nusselt, _ = self._nusselt_and_friction_factor(
reynolds,
prandtl,
)
return {
"heat_transfer_coefficient": (
nusselt * thermal_conductivity / hydraulic_diameter_m
),
}
@staticmethod
def _nusselt_and_friction_factor(reynolds, prandtl):
if reynolds <= 0:
raise ValueError("Reynolds number must be positive")
if prandtl <= 0:
raise ValueError("Prandtl number must be positive")
if reynolds < 2300:
return 4.36, 64 / reynolds
friction_factor = 1 / (1.82 * math.log10(reynolds) - 1.64) ** 2
numerator = (friction_factor / 8) * (reynolds - 1000) * prandtl
denominator = (
1
+ 12.7
* math.sqrt(friction_factor / 8)
* (prandtl ** (2 / 3) - 1)
)
return numerator / denominator, friction_factor
@staticmethod
def _pick_positive_property(properties, keys):
for key in keys:
if key in properties:
value = properties[key]
if value <= 0:
raise ValueError(f"{key} must be positive")
return value
raise ValueError(
"property_calculator result must include one of: "
+ ", ".join(keys)
)
@staticmethod
def _specific_heat_j_kg_k(properties, property_calculator):
for key in ("cp_j_kg_k", "specific_heat_j_kg_k", "cp_mass"):
if key in properties:
value = properties[key]
if value <= 0:
raise ValueError(f"{key} must be positive")
return value
if "cp" not in properties:
raise ValueError("property_calculator result must include cp")
cp = properties["cp"]
if cp <= 0:
raise ValueError("cp must be positive")
mw = getattr(property_calculator, "mw", None)
if mw is None:
return cp
return cp / mw * 1000
@staticmethod
def _semicircular_channel_geometry(channel_diameter_m):
if channel_diameter_m <= 0:
raise ValueError("channel_diameter_m must be positive")
flow_area_m2 = math.pi * channel_diameter_m**2 / 8
wetted_perimeter_m = math.pi * channel_diameter_m / 2 + channel_diameter_m
hydraulic_diameter_m = 4 * flow_area_m2 / wetted_perimeter_m
return {
"channel_diameter_m": channel_diameter_m,
"flow_area_m2": flow_area_m2,
"wetted_perimeter_m": wetted_perimeter_m,
"hydraulic_diameter_m": hydraulic_diameter_m,
}
@staticmethod
def _state_from(variables, key, override):
state = override if override is not None else variables.get(key)
if state is None:
raise ValueError(f"Missing {key} for heat exchanger mass calculation")
return dict(state)
@staticmethod
def _interpolate_state(start, end, fraction):
return {
key: start[key] + (end[key] - start[key]) * fraction
for key in ("T", "P")
}
_DEFAULT_RECUPERATOR_PCHE_MODEL = RecuperatorPCHEMassModel()
def initialize_recuperator_segments(*args, **kwargs):
return _DEFAULT_RECUPERATOR_PCHE_MODEL.initialize_segments(*args, **kwargs)
def recuperator_pche_mass(*args, **kwargs):
return _DEFAULT_RECUPERATOR_PCHE_MODEL.calculate_mass(*args, **kwargs)
def calculate_water_outlet_temperature(
Qc_kw,
water_inlet_T,
water_mass_flow_rate,
water_pressure_kpa,
refprop_path,
):
"""Calculate substitute water outlet temperature with REFPROP."""
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")
import ctREFPROP.ctREFPROP as ct
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
DEFAULT_MASS_MODELS = {
"turbine": turbine_tac_mass,
"heater": heater_reactor_mass,
"condenser": condenser_radiator_mass,
"recuperator": recuperator_pche_mass,
}
def has_default_mass_model(component_or_type):
"""Return whether a component type has a built-in mass model."""
component_type = (
component_or_type
if isinstance(component_or_type, str)
else getattr(component_or_type, "component_type", None)
)
return component_type in DEFAULT_MASS_MODELS
def calculate_component_mass(component, mass_model=None, **kwargs):
"""Calculate mass for one component without mutating it."""
if component.variables is None:
raise ValueError("Run component calculator before mass calculation")
if mass_model is None:
try:
model_function = DEFAULT_MASS_MODELS[component.component_type]
except KeyError as exc:
raise NotImplementedError(
f"No default mass model for component type "
f"{component.component_type!r}."
) from exc
return model_function(component.variables, **kwargs)
return _run_external_mass_model(component, mass_model, **kwargs)
def apply_component_mass(component, mass_model=None, **kwargs):
"""Calculate mass with a mass model and store it on the component."""
result = calculate_component_mass(component, mass_model=mass_model, **kwargs)
return component.set_mass_result(result)
def _run_external_mass_model(component, mass_model, **kwargs):
method_name = f"calculate_{component.component_type}_mass"
if hasattr(mass_model, method_name):
return getattr(mass_model, method_name)(component, **kwargs)
if hasattr(mass_model, "calculate_component_mass"):
return mass_model.calculate_component_mass(component, **kwargs)
if hasattr(mass_model, "calculate_mass"):
return mass_model.calculate_mass(component, **kwargs)
if callable(mass_model):
return mass_model(component, **kwargs)
raise TypeError("mass_model must be callable or expose a supported method")
+10 -1
View File
@@ -60,6 +60,15 @@ class CO2PropertyCalculator():
# 补充提取的物性,这里由于后续还要使用,不进行参数变换
properties['D'] = result.D
properties['density_kg_m3'] = result.D * self.mw
properties['cp'] = result.Cp
properties['cv'] = result.Cv,
properties['cp_j_kg_k'] = result.Cp / self.mw * 1000
properties['cv'] = result.Cv
properties['cv_j_kg_k'] = result.Cv / self.mw * 1000
transport = self.rp.TRNPRPdll(result.T, result.D, self.z)
if transport.ierr > 0:
raise ValueError(f"REFPROP transport calculation error:{transport.ierr}")
properties['viscosity_pa_s'] = transport.eta * 1e-6
properties['thermal_conductivity_w_m_k'] = transport.tcx
return properties