{"title":"Power-consumption minimization for multistage sequential endoreversible heat-pump systems with complex heat-resistance model","authors":"Lingen Chen, Shaojun Xia","doi":"10.1007/s10973-024-13868-0","DOIUrl":null,"url":null,"abstract":"<div><p>Model of multistage sequential endoreversible heat-pump (EHP) system with a finite-sink and an infinite-environment and with complex heat-resistance model of [<span>\\(q \\propto (\\Delta (T^{\\text{n}} ))^{\\text{m}}\\)</span>] is established and investigated. The <span>\\(q \\propto (\\Delta (T^{\\text{n}} ))^{\\text{m}}\\)</span> model includes many cases, such as linear-phenomenological model [<span>\\({\\text{n}} = - 1\\)</span>, <span>\\(m = 1\\)</span>, <span>\\(q \\propto \\Delta (T^{ - 1} )\\)</span>], linear model [<span>\\({\\text{n}} = 1\\)</span>, <span>\\(m = 1\\)</span>, <span>\\(q \\propto \\Delta (T)\\)</span>], Dulong-Petit model [<span>\\({\\text{n}} = 1\\)</span>, <span>\\(m = 1.25\\)</span>, <span>\\(q \\propto \\Delta (T)^{1.25}\\)</span>], radiative model [<span>\\({\\text{n}} = 4\\)</span>, <span>\\(m = 1\\)</span>, <span>\\(q \\propto \\Delta (T^{4} )\\)</span>], generalized convection model [<span>\\(q \\propto (\\Delta T)^{\\text{m}}\\)</span>], generalized radiative model [<span>\\(q \\propto \\Delta (T^{\\text{n}} )\\)</span>], special model [<span>\\({\\text{n}} = 4\\)</span>, <span>\\(m = 1.25\\)</span>, <span>\\(q \\propto (\\Delta (T^{4} ))^{1.25}\\)</span>], 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 <span>\\(\\dot{W}_{{\\min }} = 8.29 \\times 10^{4} {\\text{W}}\\)</span>; for Dulong-Petit model, it is <span>\\(\\dot{W}_{\\min } = 8.41 \\times 10^{4} {\\text{W}}\\)</span>; for linear-phenomenological model, it is <span>\\(\\dot{W}_{\\min } = 8.59 \\times 10^{4} {\\text{W}}\\)</span>; and for radiative model, it is <span>\\(\\dot{W}_{\\min } = 8.{4}9 \\times 10^{4} {\\text{W}}\\)</span>; for [<span>\\(q \\propto (\\Delta (T^{4} ))^{1.25}\\)</span>] model, it is <span>\\(\\dot{W}_{\\min } = 8.21 \\times 10^{4} {\\text{W}}\\)</span>. Only if cycle-period tends to infinite-long, <span>\\(\\dot{W}_{\\min } = \\dot{W}_{\\text{rev}}\\)</span>.</p></div>","PeriodicalId":678,"journal":{"name":"Journal of Thermal Analysis and Calorimetry","volume":"150 3","pages":"1787 - 1799"},"PeriodicalIF":3.0000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thermal Analysis and Calorimetry","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10973-024-13868-0","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
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, \(\dot{W}_{\min } = \dot{W}_{\text{rev}}\).
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.