An application of genetic algorithm search techniques to the future total exergy input/output estimation

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dc.contributor.authorOzturk, HK
dc.contributor.authorCanyurt, OE
dc.contributor.authorHepbasli, A
dc.contributor.authorUtlu, Z
dc.date.accessioned2019-10-27T19:18:18Z
dc.date.available2019-10-27T19:18:18Z
dc.date.issued2006
dc.departmentEge Üniversitesien_US
dc.description.abstractSince 1975, there has been a great deal of interest, particularly during the past decade, in the promising genetic algorithm (GA) and its application to various disciplines from medicine to cogeneration. However, the studies performed on energy-related GA modeling are relatively low in numbers. The main objective of the present study is to develop the exergy input/output estimation equations in order to estimate the future projections based on the GA notion. In this regard, the GA Future Total EXergy Input/Output Estimation Models (GAFTEXIEM/GAFTEXOEM) are used to estimate total exergy input/output demand of Turkey, which is selected as an application country, based on the economic and social indicators of gross domestic product (GDP), population, import, export and house production figures. The future prediction of Turkey's total exergy input/output values are projected between 2003 and 2023. It may be concluded that the models proposed here can be used as an alternative solution and estimation techniques to available estimation techniques. It is also expected that this study will be helpful in developing highly applicable and productive planning for energy policies.en_US
dc.identifier.doi10.1080/009083190881490
dc.identifier.endpage725en_US
dc.identifier.issn1556-7036
dc.identifier.issn1556-7230
dc.identifier.issn1556-7036en_US
dc.identifier.issn1556-7230en_US
dc.identifier.issue8en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage715en_US
dc.identifier.urihttps://doi.org/10.1080/009083190881490
dc.identifier.urihttps://hdl.handle.net/11454/38557
dc.identifier.volume28en_US
dc.identifier.wosWOS:000237274300003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofEnergy Sources Part A-Recovery Utilization and Environmental Effectsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectgenetic algorithmen_US
dc.subjectexergyen_US
dc.subjectenergy useen_US
dc.subjectenergy planningen_US
dc.subjectenergy modelingen_US
dc.subjectfuture projectionsen_US
dc.titleAn application of genetic algorithm search techniques to the future total exergy input/output estimationen_US
dc.typeArticleen_US

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