Optimal performance of irreversible quantum Stirling refrigerator with extreme relativistic particles as working substance

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-04-15 Epub Date: 2025-02-24 DOI:10.1016/j.physa.2025.130486
Yong Yin , Xinting Fang , Lingen Chen , Yanlin Ge
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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 x = 1.1013 and R* = 0.2889.
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以极端相对论性粒子为工质的不可逆量子斯特林制冷机的最佳性能
在有限时间热力学(FTT)的背景下,以一维无限势阱(ODIPW)中的极端相对论粒子(ERP)为工质,建立了不可逆量子斯特林制冷机(IQSR)模型。循环模型由两个等温过程和两个等L过程组成,其中L为势阱宽度,等L过程被视为量子等容性过程。粒子在某一能级上的占据概率服从吉布斯分布。计算了性能系数COP、ε、冷负荷R和Ω函数的解析公式。ε随R率的变化曲线呈环状。由冷负荷和COP决定的最佳性能区间可以分为两个不同的部分。一部分是由Ω函数和COP优化标准确定的优化间隔。在考虑冷却负荷时,这个区间考虑了较高的ε。例如,当xmcop = 1.0371时,ε = 0.6743的最大值。另一部分是根据Ω函数和冷负荷的优化准则确定的优化区间,该优化区间考虑了较高的R值。最大R对应于R*max = 0.2918,xmR = 1.1333。分析表明Ω函数通过捕获COP和冷负荷之间的权衡,在这一优化过程中起着关键作用。Ω函数用于量化有限时间效应导致的效率损失,从而为实际应用中优化循环提供了有用的工具。对于量子斯特林制冷机,Ω函数的最大值(Ωmax = 0.2802)出现在xmΩ = 1.1013和R*mΩ = 0.2889时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
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.
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