低耗散量子热机的最佳性能特性和最大功率输出

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Jingyi Chen , Junyi Wang , Yuzhuo Pan , Shanhe Su , Jincan Chen
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引用次数: 0

摘要

提出了一种低耗散量子热机循环,并分析了其性能特点。基于慢驱动微扰理论,导出了热的时间幂的解析展开式。利用拉格朗日乘子的方法,建立了效率与输出功率之间的约束关系。考虑不同的目标函数,对低耗散热机的性能进行了优化分析。结果强调了在最佳区域内运行低耗散量子热机循环对于同时获得大功率输出和高效率的重要性。这些发现有助于理解和优化低耗散量子热机,为高效能量转换技术的发展提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimum performance characteristics and maximum power output of a low-dissipation quantum heat engine
This study presents a low-dissipation quantum heat engine cycle and analyzes its performance characteristics. Based on the slow driven perturbation theory, the analytic expansion of heat in powers of time is derived. Employing the method of Lagrange multiplier, we establish a constraint relation between the efficiency and the power output. The performances of the low-dissipation heat engine are optimally analyzed by considering the different objective functions. The results underscore the significance of operating the low-dissipation quantum heat engine cycle within the optimal region to attain the large power output and high efficiency simultaneously. These findings contribute to the understanding and optimization of low-dissipation quantum heat engines, providing insights for the development of efficient energy conversion technologies.
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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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