多域系统的熵生成优化:一个广义Gouy-Stodola定理和最优控制。

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2025-06-09 DOI:10.3390/e27060612
Hanz Richter, Meysam Fathizadeh, Tyler Kaptain
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引用次数: 0

摘要

本文考虑了热力学第二定律的扩展解释及其对多域系统功率转换优化的影响。首先,对满足克劳修斯第二定律公设的互联系统,导出了经典Gouy-Stodola定理的广义的、域无关的版本。机械系统、电学系统和更一般的哈密顿系统不满足这一假设,但能量环向性的相关性质可以得到满足。然后,对于满足这一性质的系统,以不等式形式得到了Gouy-Stodola定理的广义版本。结果定义了多域系统熵产生和损失功的平均形式。然后,针对某典型机电系统提出了最优控制问题,得到了负荷功率转移和能量收集情况下的完整的闭式解。结果表明,熵产最小化近似于最大功率传递定理。对于能量收集的情况,保证了闭环的稳定性,可以设计出实用的控制器。该方法与直接最小化损失进行了理论和蒙特卡罗模拟的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Entropy Generation Optimization in Multidomain Systems: A Generalized Gouy-Stodola Theorem and Optimal Control.

The paper considers an extended interpretation of the second law of thermodynamics and its implications to power conversion optimization in multidomain systems. First, a generalized, domain-independent version of the classical Gouy-Stodola theorem is derived for interconnected systems which satisfy the Clausius postulate of the second law. Mechanical, electrical and more general Hamiltonian systems do not satisfy this postulate, however the related property of energy cyclodirectionality may be satisfied. A generalized version of the Gouy-Stodola theorem is then obtained in inequality form for systems satisfying this property. The result defines average forms of entropy generation and lost work for multi-domain systems. The paper then formulates an optimal control problem for a representative electromechanical system, obtaining complete, closed-form solutions for the load power transfer and energy harvesting cases. The results indicate that entropy generation minimization is akin to the maximum power transfer theorem. For the power harvesting case, closed-loop stability is guaranteed and practical controllers may be designed. The approach is compared against direct minimization of losses, both theoretically and with Monte Carlo simulations.

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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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