IIR document
Analysis of organic Rankine cycle integrated multi evaporator vapor-compression refrigeration (ORC-mVCR) system.
Author(s) : ASHWNI, SHERWANI A. F.
Type of article: IJR article
Summary
In this study, a multi evaporator vapor-compression refrigeration (mVCR) system driven by Organic Rankine Cycle (ORC) is proposed as a refrigeration system for supermarkets, restaurants, etc. The system is analyzed for its thermodynamic performance in terms of coefficient of performance (COPs) and exergetic efficiency. A zeotropic mixture of hexane and R245fa is used as working fluid over pure fluid to assess its impact on the thermodynamic performance of the system. Moreover, the system is optimized using an evolutionary algorithm called genetic algorithm (GA) to determine the optimal values of the operating parameters for the maximum exergetic efficiency of the system. The results indicate that COPs and are maximum at the mass fraction of 0.5 of the zeotropic mixture. The maximum values of COPs and are 0.425 and 31.1% respectively. The system can achieve an exergetic efficiency of 58% at the optimal set of operating parameters. The corresponding optimal values of the temperature of the ORC evaporator, VCR evaporator 1, VCR evaporator 2, and the condenser are 388 K, 268 K, 268 K, and 303 K respectively.
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Details
- Original title: Analysis of organic Rankine cycle integrated multi evaporator vapor-compression refrigeration (ORC-mVCR) system.
- Record ID : 30029626
- Languages: English
- Subject: Technology
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 138
- Publication date: 2022/06
- DOI: http://dx.doi.org/10.1016/j.ijrefrig.2022.03.014
- Document available for consultation in the library of the IIR headquarters only.
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Indexing
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Themes:
Supermarkets, display cabinets;
Ejector systems, air cycle, Stirling cycle, other cycles);
Evaporators, condensers and other heat exchangers;
Blends - Keywords: Organic Rankine cycle; Supermarket; Zeotropic mixture; Compression system; Evaporator; Modelling; Optimization; Hexane; R245fa; Performance; COP
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