Artificial neural network analysis of heat pumps using refrigerant mixtures

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dc.contributor.authorArcaklioglu, E
dc.contributor.authorErisen, A
dc.contributor.authorYilmaz, R
dc.date.accessioned2020-06-25T17:40:06Z
dc.date.available2020-06-25T17:40:06Z
dc.date.issued2004
dc.departmentKırıkkale Üniversitesi
dc.descriptionARCAKLIOGLU, Erol/0000-0001-8073-5207
dc.description.abstractIn this study, we have investigated the performance of a vapor compression heat pump with different ratios of R12/R22 refrigerant mixtures using artificial neural networks (ANN). Experimental studies were completed to obtain training and test data. Mixing ratio, evaporator inlet temperature and condenser pressure were used as input layer, while the outputs are coefficient of performance (COP) and rational efficiency (RE). The back propagation learning algorithm with three different variants and logistic sigmoid transfer function were used in the network. It is shown that the R-2 values are about 0.9999 and the RMS errors are smaller than 0.006. With these results, we believe that the ANN can be used for prediction of COP and RE as an accurate method in a heat pump. (C) 2003 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.enconman.2003.09.028
dc.identifier.endpage1929en_US
dc.identifier.issn0196-8904
dc.identifier.issue11-12en_US
dc.identifier.scopus2-s2.0-1642355338
dc.identifier.scopusqualityQ1
dc.identifier.startpage1917en_US
dc.identifier.urihttps://doi.org/10.1016/j.enconman.2003.09.028
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3269
dc.identifier.volume45en_US
dc.identifier.wosWOS:000220531500021
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEnergy Conversion And Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial neural networksen_US
dc.subjectrefrigerant mixtureen_US
dc.subjectcoefficient of performanceen_US
dc.subjectheat pumpsen_US
dc.titleArtificial neural network analysis of heat pumps using refrigerant mixturesen_US
dc.typeArticle

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