Performance parameters of an ejector-absorption heat transformer

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dc.contributor.authorSözen, Adnan
dc.contributor.authorArcaklioğlu, Erol
dc.contributor.authorÖzalp, Mehmet
dc.contributor.authorYücesu, Serdar
dc.date.accessioned2020-06-25T17:40:43Z
dc.date.available2020-06-25T17:40:43Z
dc.date.issued2005
dc.departmentKırıkkale Üniversitesi
dc.descriptionARCAKLIOGLU, Erol/0000-0001-8073-5207
dc.description.abstractEjector-absorption heat transformers (EAHTs) are attractive for increasing a solar-pond's temperature and for recovering low-level waste-heat. Thermodynamic analysis of the performance of an EAHT is complicated due to the associated complex differential equations and simulation programs. This paper proposes the use of artificial neural-networks (ANNs) as a new approach to determine the performance parameters, as functions of only the working temperatures of the EAHT, which is used to increase the solar pond's temperature under various working conditions. Thus, this study is helpful in predicting the performance of an EAHT where the temperatures are known. Scaled conjugate gradient (SCG) and Levenberg-Marquardt (LM) learning algorithms and a logistic sigmoid transfer-function were used in the network. The best approach was investigated for performance parameters with developed software using various algorithms. The best statistical coefficients of multiple determinations (R-2-values) equal 0.99995, 0.99997 and 0.99995 for the coefficient of performance (COP), exergetic coefficient of performance (ECOP) and circulation ratio (F), respectively obtained by the LM algorithm with seven neurons. In the comparison of performances, results obtained via analytic equations and by means of the ANN, the COP, ECOP and F for all working situations differ by less than 1.05%, 0.7% and 3.07%, respectively. These accuracies are acceptable in the design of the EAHT. The ANN approach greatly reduces the time required by design engineers to find the optimum solution. Apart from reducing the time required, it is possible to find solutions that make solar-energy applications more viable and thus more attractive to potential users. Also, this approach has the advantages of high computational speed, low cost for feasibility, rapid turn-around, which is especially important during iterative design phases, and ease of design by operators with little technical experience. (C) 2004 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.apenergy.2004.04.004
dc.identifier.endpage289en_US
dc.identifier.issn0306-2619
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-9444297966
dc.identifier.scopusqualityQ1
dc.identifier.startpage273en_US
dc.identifier.urihttps://doi.org/10.1016/j.apenergy.2004.04.004
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3534
dc.identifier.volume80en_US
dc.identifier.wosWOS:000227320000004
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofApplied Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectabsorptionen_US
dc.subjectheat transformeren_US
dc.subjectsimulationen_US
dc.subjectsolar ponden_US
dc.subjectejectoren_US
dc.titlePerformance parameters of an ejector-absorption heat transformeren_US
dc.typeArticle

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