{"title":"Optimal performance of irreversible quantum Stirling refrigerator with extreme relativistic particles as working substance","authors":"Yong Yin , Xinting Fang , Lingen Chen , Yanlin Ge","doi":"10.1016/j.physa.2025.130486","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of finite-time thermodynamics (FTT), an irreversible quantum Stirling refrigerator (IQSR) model is constructed using extreme relativistic particles (ERP) confined within a one-dimensional infinite potential well (ODIPW) as the working medium. The cycle model is made up of two isothermal processes and two equal-L processes, where L is the width of the potential well, and the equal-L processes are treated as quantum isocapacitive processes. The occupation probability of the particles in an energy level follows the Gibbs distribution. Analytical formulas of coefficient of performance (COP, ε), cooling load (R) and Ω function are calculated. The curve of ε versus R rate is loop-shaped. The optimal performance interval, determined by cooling load and COP, can be divided into two distinct parts. One part is the optimization interval determined by the Ω function and COP optimization criteria. This interval takes the higher ε into accountwhen considering the cooling load. For instance, the maximum <em>ε</em> = 0.6743 is obtained when <em>x</em><sub>mcop</sub> = 1.0371. The other part is the optimization interval determined by the optimization criteria of the Ω function and cooling load, which takes the higher R into account. The maximum R corresponds to <em>R</em>*<sub>max</sub> = 0.2918 and <em>x</em><sub>mR</sub> = 1.1333. The analyses reveal that the Ω function plays a critical role in this optimization process by capturing the trade-off between COP and cooling load. The Ω function is designed to quantify the efficiency loss due to finite-time effects, thus providing a useful tool to optimize cycles in practical applications. For the quantum Stirling refrigerator, the maximum value of the Ω function (<em>Ω</em><sub>max</sub> = 0.2802) occurs when <em>x</em><sub>mΩ</sub> = 1.1013 and <em>R</em>*<sub>mΩ</sub> = 0.2889.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"664 ","pages":"Article 130486"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125001384","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of finite-time thermodynamics (FTT), an irreversible quantum Stirling refrigerator (IQSR) model is constructed using extreme relativistic particles (ERP) confined within a one-dimensional infinite potential well (ODIPW) as the working medium. The cycle model is made up of two isothermal processes and two equal-L processes, where L is the width of the potential well, and the equal-L processes are treated as quantum isocapacitive processes. The occupation probability of the particles in an energy level follows the Gibbs distribution. Analytical formulas of coefficient of performance (COP, ε), cooling load (R) and Ω function are calculated. The curve of ε versus R rate is loop-shaped. The optimal performance interval, determined by cooling load and COP, can be divided into two distinct parts. One part is the optimization interval determined by the Ω function and COP optimization criteria. This interval takes the higher ε into accountwhen considering the cooling load. For instance, the maximum ε = 0.6743 is obtained when xmcop = 1.0371. The other part is the optimization interval determined by the optimization criteria of the Ω function and cooling load, which takes the higher R into account. The maximum R corresponds to R*max = 0.2918 and xmR = 1.1333. The analyses reveal that the Ω function plays a critical role in this optimization process by capturing the trade-off between COP and cooling load. The Ω function is designed to quantify the efficiency loss due to finite-time effects, thus providing a useful tool to optimize cycles in practical applications. For the quantum Stirling refrigerator, the maximum value of the Ω function (Ωmax = 0.2802) occurs when xmΩ = 1.1013 and R*mΩ = 0.2889.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.