journal article·2020-10-01Open access

Influential factors and optimization analysis of adsorption refrigeration system performance

Xueling Zhang, Feifei Wang, Xudong Lei, Yanling Wang, Qi Zhang, Xuehong Wu, Tingxiang Jin, Yujing Wang

AIP Advances· Volume 10· Issue 10

Abstract

This paper reviews recent research on adsorption refrigeration systems. Common and new-type adsorbent–adsorbate working pairs for adsorption refrigeration are summarized and classified. The performance evaluating parameters such as the coefficient of performance and specific cooling power are analyzed for an adsorption refrigeration system, and the influential factors of adsorption refrigeration system performance are investigated from the adsorbent and adsorption bed, respectively. The factors from the adsorbent include the following: the adsorbent particle size, size of micropores inside the adsorbent, total porosity of the adsorbent, and adsorbent stability. Optimization methods for improving adsorbents’ stability are proposed, and four preparation methods for composite adsorbents are summarized. Methods for improving the performance of an adsorption refrigeration system from the adsorption bed are illustrated by examples, including increasing the heat exchange area, improving the surface coating technology, utilizing the heat pipe technology, and designing the multiple adsorption bed system. Among these factors, the working pairs of adsorption refrigeration play the most important role for the system performance, and developing the new type of composite adsorbent to improve the performance and stability is the effective strategy to optimize the system performance. This article also provides suggestions on recent progress and the innovation directions for an adsorption refrigeration system.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Adsorption and Cooling Systems · Thermal Radiation and Cooling Technologies · Phase Change Materials Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Energy and Power Engineering, Zhengzhou University of Light Industry , Zhengzhou 450002, China

Funding

National Natural Science Foundation of China

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