具有复杂热阻模型的多级序列内可逆热泵系统的功耗最小化

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Lingen Chen, Shaojun Xia
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Continuous Hamilton–Jacobi–Bellman (HJB) equations for optimal-configurations of sink-temperature with power-consumption minimization objective (PCMO) are obtained. General results are provided, and analytical solution with linear heat-resistance model is further obtained. Discrete HJB equations are obtained, and dynamic program method is utilized to obtain numerical-solutions of optimal-configurations with non-linear heat-resistance models. Optimization results are compared with those obtained for multistage discrete sequential endoreversible heat-engine systems with five different heat-resistance models. 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Continuous Hamilton–Jacobi–Bellman (HJB) equations for optimal-configurations of sink-temperature with power-consumption minimization objective (PCMO) are obtained. General results are provided, and analytical solution with linear heat-resistance model is further obtained. Discrete HJB equations are obtained, and dynamic program method is utilized to obtain numerical-solutions of optimal-configurations with non-linear heat-resistance models. Optimization results are compared with those obtained for multistage discrete sequential endoreversible heat-engine systems with five different heat-resistance models. 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引用次数: 0

摘要

建立并研究了具有有限汇和无限环境、具有复杂热阻模型[\(q \propto (\Delta (T^{\text{n}} ))^{\text{m}}\)]的多级顺序内可逆热泵(EHP)系统模型。\(q \propto (\Delta (T^{\text{n}} ))^{\text{m}}\)模型包括线性-现象模型[\({\text{n}} = - 1\), \(m = 1\), \(q \propto \Delta (T^{ - 1} )\)],线性模型[\({\text{n}} = 1\), \(m = 1\), \(q \propto \Delta (T)\)], Dulong-Petit模型[\({\text{n}} = 1\), \(m = 1.25\), \(q \propto \Delta (T)^{1.25}\)],辐射模型[\({\text{n}} = 4\), \(m = 1\), \(q \propto \Delta (T^{4} )\)],广义对流模型[\(q \propto (\Delta T)^{\text{m}}\)],广义辐射模型[\(q \propto \Delta (T^{\text{n}} )\)],特殊模型[\({\text{n}} = 4\),\(m = 1.25\), \(q \propto (\Delta (T^{4} ))^{1.25}\)]等。得到了以功耗最小化为目标的槽温度最优构型的连续Hamilton-Jacobi-Bellman方程。给出了一般结果,并进一步得到了线性热阻模型的解析解。建立了离散HJB方程,并利用动态规划方法求解了非线性热阻模型的最优构型的数值解。对5种不同热阻模型下多级离散顺序内可逆热机系统的优化结果进行了比较。对于一定的固定参数,线性模型下多级离散序贯EHP系统的PCMO为\(\dot{W}_{{\min }} = 8.29 \times 10^{4} {\text{W}}\);对于Dulong-Petit模型,为\(\dot{W}_{\min } = 8.41 \times 10^{4} {\text{W}}\);对于线性-现象学模型,为\(\dot{W}_{\min } = 8.59 \times 10^{4} {\text{W}}\);对于辐射模型,它是\(\dot{W}_{\min } = 8.{4}9 \times 10^{4} {\text{W}}\);对于[\(q \propto (\Delta (T^{4} ))^{1.25}\)]模型,它是\(\dot{W}_{\min } = 8.21 \times 10^{4} {\text{W}}\)。只有当周期趋于无限长,\(\dot{W}_{\min } = \dot{W}_{\text{rev}}\)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power-consumption minimization for multistage sequential endoreversible heat-pump systems with complex heat-resistance model

Model of multistage sequential endoreversible heat-pump (EHP) system with a finite-sink and an infinite-environment and with complex heat-resistance model of [\(q \propto (\Delta (T^{\text{n}} ))^{\text{m}}\)] is established and investigated. The \(q \propto (\Delta (T^{\text{n}} ))^{\text{m}}\) model includes many cases, such as linear-phenomenological model [\({\text{n}} = - 1\), \(m = 1\), \(q \propto \Delta (T^{ - 1} )\)], linear model [\({\text{n}} = 1\), \(m = 1\), \(q \propto \Delta (T)\)], Dulong-Petit model [\({\text{n}} = 1\), \(m = 1.25\), \(q \propto \Delta (T)^{1.25}\)], radiative model [\({\text{n}} = 4\), \(m = 1\), \(q \propto \Delta (T^{4} )\)], generalized convection model [\(q \propto (\Delta T)^{\text{m}}\)], generalized radiative model [\(q \propto \Delta (T^{\text{n}} )\)], special model [\({\text{n}} = 4\), \(m = 1.25\), \(q \propto (\Delta (T^{4} ))^{1.25}\)], etc.. Continuous Hamilton–Jacobi–Bellman (HJB) equations for optimal-configurations of sink-temperature with power-consumption minimization objective (PCMO) are obtained. General results are provided, and analytical solution with linear heat-resistance model is further obtained. Discrete HJB equations are obtained, and dynamic program method is utilized to obtain numerical-solutions of optimal-configurations with non-linear heat-resistance models. Optimization results are compared with those obtained for multistage discrete sequential endoreversible heat-engine systems with five different heat-resistance models. For some fixed parameters, PCMO of multistage discrete sequential EHP system for linear model is \(\dot{W}_{{\min }} = 8.29 \times 10^{4} {\text{W}}\); for Dulong-Petit model, it is \(\dot{W}_{\min } = 8.41 \times 10^{4} {\text{W}}\); for linear-phenomenological model, it is \(\dot{W}_{\min } = 8.59 \times 10^{4} {\text{W}}\); and for radiative model, it is \(\dot{W}_{\min } = 8.{4}9 \times 10^{4} {\text{W}}\); for [\(q \propto (\Delta (T^{4} ))^{1.25}\)] model, it is \(\dot{W}_{\min } = 8.21 \times 10^{4} {\text{W}}\). Only if cycle-period tends to infinite-long, \(\dot{W}_{\min } = \dot{W}_{\text{rev}}\).

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来源期刊
CiteScore
8.50
自引率
9.10%
发文量
577
审稿时长
3.8 months
期刊介绍: Journal of Thermal Analysis and Calorimetry is a fully peer reviewed journal publishing high quality papers covering all aspects of thermal analysis, calorimetry, and experimental thermodynamics. The journal publishes regular and special issues in twelve issues every year. The following types of papers are published: Original Research Papers, Short Communications, Reviews, Modern Instruments, Events and Book reviews. The subjects covered are: thermogravimetry, derivative thermogravimetry, differential thermal analysis, thermodilatometry, differential scanning calorimetry of all types, non-scanning calorimetry of all types, thermometry, evolved gas analysis, thermomechanical analysis, emanation thermal analysis, thermal conductivity, multiple techniques, and miscellaneous thermal methods (including the combination of the thermal method with various instrumental techniques), theory and instrumentation for thermal analysis and calorimetry.
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