Analysis and optimisation of a cascade active magnetic regenerative refrigeration system

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dc.contributor.authorGanjehsarabi, Hadi
dc.contributor.authorDincer, Ibrahim
dc.contributor.authorGungor, Ali
dc.date.accessioned2019-10-27T22:58:07Z
dc.date.available2019-10-27T22:58:07Z
dc.date.issued2016
dc.departmentEge Üniversitesien_US
dc.description7th International Ege Energy Symposium and Exhibition (IEEESE) -- JUN 18-20, 2014 -- Usak Univ, Usak, TURKEYen_US
dc.description.abstractIn this paper, comprehensive thermodynamic analysis and optimisation of a cascade active magnetic regenerative refrigeration system are performed. A parametric study is conducted to investigate the effects of various design parameters on the cycle performance through energy and exergy efficiencies. A multi-objective optimisation method based on a fast and elitist non-dominated sorting genetic algorithm is applied to determine the best design parameters for the system. Two objective functions utilised in the optimisation study are the total cost rate of the system and the system exergy efficiency. The total cost rate of the system is minimised while the cycle exergy efficiency is maximised using an evolutionary algorithm. To provide insight, the Pareto frontier is shown for a multi-objective optimisation. The results show that exergy efficiency could be increased by 14.53% using exergy-based optimisation and the cost could be reduced by 12% using the cost-based optimisation.en_US
dc.identifier.doi10.1504/IJEX.2016.075601
dc.identifier.endpage160en_US
dc.identifier.issn1742-8297
dc.identifier.issn1742-8300
dc.identifier.issn1742-8297en_US
dc.identifier.issn1742-8300en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage143en_US
dc.identifier.urihttps://doi.org/10.1504/IJEX.2016.075601
dc.identifier.urihttps://hdl.handle.net/11454/51445
dc.identifier.volume19en_US
dc.identifier.wosWOS:000377353200002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofInternational Journal of Exergyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAMR cycleen_US
dc.subjectexergy efficiencyen_US
dc.subjectgenetic algorithm magnetic refrigerationen_US
dc.subjectmulti-objective optimisationen_US
dc.titleAnalysis and optimisation of a cascade active magnetic regenerative refrigeration systemen_US
dc.typeArticleen_US

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