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首页> 外文期刊>International Journal of Refrigeration >Performance enhancement of a compressive thermoelastic cooling system using multi-objective optimization and novel designs
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Performance enhancement of a compressive thermoelastic cooling system using multi-objective optimization and novel designs

机译:利用多目标优化和新颖设计提高压缩热弹性冷却系统的性能

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摘要

Thermoelastic cooling is a recently proposed, novel solid-state cooling technology. It has the benefit of not using high global warming potential (GWP) refrigerants which are used in vapor compression cycles (VCCs). Performance enhancements on a thermoelastic cooling prototype were investigated. A few novel design options aiming to reduce the cyclic loss were proposed. It was found that the maximum temperature lift increased from 6.6 K to 27.8 K when applying the proposed novel designs, corresponding to 0-152 W cooling capacity enhancement evaluated under 10 K water-water system temperature lift. In addition, a multi-objective optimization problem was formulated and solved using the genetic algorithm to maximize the system capacity and coefficient of performance (COP). With all the novel designs, the optimization could further enhance 31% COP, or 21% cooling capacity, corresponding to COP of 4.1 or 184 W maximum cooling capacity. (C) 2015 Elsevier Ltd and IIR. All rights reserved.
机译:热弹性冷却是最近提出的新颖的固态冷却技术。其优点是不使用蒸气压缩循环(VCC)中使用的高全球变暖潜能值(GWP)制冷剂。研究了热弹性冷却原型的性能增强。提出了一些旨在减少循环损耗的新颖设计方案。发现在应用提出的新颖设计时,最大温度升程从6.6 K增加到27.8 K,对应于在10 K水-水系统温度升程下评估的0-152 W冷却能力增强。此外,使用遗传算法制定并解决了多目标优化问题,以最大程度地提高系统容量和性能系数(COP)。使用所有新颖的设计,优化可以进一步提高31%的COP或21%的冷却能力,相当于COP为4.1或184 W最大冷却能力。 (C)2015 Elsevier Ltd和IIR。版权所有。

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