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机器熵产生对冰箱最优性能的影响。

Effect of Machine Entropy Production on the Optimal Performance of a Refrigerator.

作者信息

Feidt Michel, Costea Monica

机构信息

LEMTA, URA CNRS 7563, University of Lorraine, 2, avenue de la Forêt de Haye, 54518 Vandoeuvre-lès-Nancy, France.

Department of Engineering Thermodynamics, Engines, Thermal and Refrigerating Equipment, University Politehnica of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.

出版信息

Entropy (Basel). 2020 Aug 20;22(9):913. doi: 10.3390/e22090913.

Abstract

The need for cooling is more and more important in current applications, as environmental constraints become more and more restrictive. Therefore, the optimization of reverse cycle machines is currently required. This optimization could be split in two parts, namely, (1) the design optimization, leading to an optimal dimensioning to fulfill the specific demand (static or nominal steady state optimization); and (2) the dynamic optimization, where the demand fluctuates, and the system must be continuously adapted. Thus, the variability of the system load (with or without storage) implies its careful control-command. The topic of this paper is concerned with part (1) and proposes a novel and more complete modeling of an irreversible Carnot refrigerator that involves the coupling between sink (source) and machine through a heat transfer constraint. Moreover, it induces the choice of a reference heat transfer entropy, which is the heat transfer entropy at the source of a Carnot irreversible refrigerator. The thermodynamic optimization of the refrigerator provides new results regarding the optimal allocation of heat transfer conductances and minimum energy consumption with associated coefficient of performance (COP) when various forms of entropy production owing to internal irreversibility are considered. The reported results and their consequences represent a new fundamental step forward regarding the performance upper bound of Carnot irreversible refrigerator.

摘要

在当前应用中,随着环境限制越来越严格,冷却需求变得越来越重要。因此,目前需要对逆循环机器进行优化。这种优化可以分为两部分,即:(1)设计优化,实现满足特定需求的最优尺寸设计(静态或名义稳态优化);(2)动态优化,此时需求波动,系统必须持续调整。因此,系统负载的变化性(有无存储)意味着要对其进行精细的控制指令。本文的主题涉及第(1)部分,并提出了一种新颖且更完整的不可逆卡诺制冷机模型,该模型通过传热约束涉及冷源(热源)与机器之间的耦合。此外,它引出了参考传热熵的选择,即卡诺不可逆制冷机热源处的传热熵。当考虑由于内部不可逆性产生的各种形式的熵产生时,制冷机的热力学优化提供了关于传热热导率的最优分配以及具有相关性能系数(COP)的最小能耗的新结果。所报道的结果及其影响代表了在卡诺不可逆制冷机性能上限方面向前迈出的新的重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2abe/7597165/9211c25ab051/entropy-22-00913-g001.jpg

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