Three different genetic algorithm approaches to the estimation of residential exergy input/output values

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dc.contributor.authorOzturk, HK
dc.contributor.authorCanyurt, OE
dc.contributor.authorHepbasli, A
dc.contributor.authorUtlu, Z
dc.date.accessioned2019-10-27T19:02:48Z
dc.date.available2019-10-27T19:02:48Z
dc.date.issued2004
dc.departmentEge Üniversitesien_US
dc.description.abstractThis study develops residential exergy input/output estimation equations in order to better analyze exergy values and predict the future projections using genetic algorithm (GA) notion. GA EXnergy Input/Output Estimation Model (GAEXIEM/GAEXOEM) is used to estimate the future residential exergy input/output values based on the indicators of gross domestic product, population, import, export, house production, cement production and basic house appliances consumption. The model is applied to Turkey's residential sector, of which exergy input and output values were 861.06 and 77.32 PJ in 2002, respectively. The three different estimation models are proposed in quadratic forms. Developed models are validated with actual data, while future estimation of exergy values is projected for the years between 2003 and 2023. It may be concluded that all the models developed seem to be capable of predicting the residential-commercial exergy input/output values of Turkey as well as countries. This study is also expected to give a new direction to engineers, scientists, and policy makers in implementing energy planning studies and in dictating the energy strategies as a potential tool. (C) 2004 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.buildenv.2003.12.002
dc.identifier.endpage816en_US
dc.identifier.issn0360-1323
dc.identifier.issn1873-684X
dc.identifier.issn0360-1323en_US
dc.identifier.issn1873-684Xen_US
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage807en_US
dc.identifier.urihttps://doi.org/10.1016/j.buildenv.2003.12.002
dc.identifier.urihttps://hdl.handle.net/11454/38046
dc.identifier.volume39en_US
dc.identifier.wosWOS:000220967500007en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofBuilding and Environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectresidentialen_US
dc.subjectgenetic algorithmen_US
dc.subjectenergyen_US
dc.subjectexergyen_US
dc.subjectenergy planningen_US
dc.subjectenergy modelingen_US
dc.subjectfuture projectionsen_US
dc.subjectsocio-economic indicatorsen_US
dc.titleThree different genetic algorithm approaches to the estimation of residential exergy input/output valuesen_US
dc.typeArticleen_US

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