Multi-objective optimization of a direct methanol fuel cell system using a genetic-based algorithm

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dc.contributor.authorMert, Suha Orcun
dc.contributor.authorOzcelik, Zehra
dc.date.accessioned2019-10-27T21:51:50Z
dc.date.available2019-10-27T21:51:50Z
dc.date.issued2013
dc.departmentEge Üniversitesien_US
dc.description.abstractThe multi-objective optimization of a direct methanol fuel cell system was conducted with the objective functions of maximizing both the power output and energy and exergy efficiencies depending on the comprehensive exergy analysis of this study. This advanced model is mounted into the developed computer program multi-objective optimizer which is based on an improved genetic algorithm. The problem is solved parametrically depending on the on the multi-objective optimization objective function ratios which allows a chance to investigate the trade-offs and the importance of the objectives. The investigated parameters are the varying available operating conditions, such as temperature, concentration, and current density. The best results found for each objective were 9.72W for the power produced and 10.732 and 10.467 energy and exergy efficiency, respectively. However, the best optimum for the overall investigation, taking the fitness function into consideration, was 9.59W for the power and 10.248 and 9.995 energy and exergy efficiencies. Copyright (c) 2012 John Wiley & Sons, Ltd.en_US
dc.identifier.doi10.1002/er.2963
dc.identifier.endpage1264en_US
dc.identifier.issn0363-907X
dc.identifier.issn0363-907Xen_US
dc.identifier.issue10en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1256en_US
dc.identifier.urihttps://doi.org/10.1002/er.2963
dc.identifier.urihttps://hdl.handle.net/11454/47315
dc.identifier.volume37en_US
dc.identifier.wosWOS:000321547900013en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.relation.ispartofInternational Journal of Energy Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDMFCen_US
dc.subjectmulti-objective optimizationen_US
dc.subjectenergyen_US
dc.subjectexergyen_US
dc.subjectefficiencyen_US
dc.subjectgenetic algorithmen_US
dc.titleMulti-objective optimization of a direct methanol fuel cell system using a genetic-based algorithmen_US
dc.typeArticleen_US

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