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https://hdl.handle.net/11499/4879
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ceylan, H. | - |
dc.contributor.author | Ozturk, H.K. | - |
dc.contributor.author | Hepbasli, A. | - |
dc.contributor.author | Utlu, Z. | - |
dc.date.accessioned | 2019-08-16T11:38:21Z | - |
dc.date.available | 2019-08-16T11:38:21Z | - |
dc.date.issued | 2005 | - |
dc.identifier.issn | 0090-8312 | - |
dc.identifier.uri | https://hdl.handle.net/11499/4879 | - |
dc.identifier.uri | https://doi.org/10.1080/00908310490448631 | - |
dc.description.abstract | The main objective of the present study is to investigate the application of the genetic algorithm (GA) method with various scenarios for the future estimation of the energy and exergy production and consumption values. The methodology developed and presented in detail in Part 1 of this study was applied to Turkey's energy and exergy utilization values. Good correlations were obtained in all cases, indicating the validity of the models proposed that can be used to estimate total energy and exergy production and consumption of Turkey for the period of 2000-2020. It may be concluded that the models reported here will provide the investigators with knowledge about how a country can model its natural resources in terms of energy and exergy utilizations. Copyright © Taylor & Francis Inc. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Energy Sources | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Energy | en_US |
dc.subject | Energy demand | en_US |
dc.subject | Energy modeling | en_US |
dc.subject | Energy planning | en_US |
dc.subject | Exergy | en_US |
dc.subject | Exergy modeling | en_US |
dc.subject | Future projections | en_US |
dc.subject | GA | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | Turkey | en_US |
dc.subject | Correlation methods | en_US |
dc.subject | Economic and social effects | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Natural resources | en_US |
dc.subject | Planning | en_US |
dc.subject | Energy utilization | en_US |
dc.title | Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 27 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.startpage | 629 | |
dc.identifier.startpage | 629 | en_US |
dc.identifier.endpage | 639 | en_US |
dc.identifier.doi | 10.1080/00908310490448631 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-18444388620 | en_US |
dc.identifier.wos | WOS:000228667400006 | en_US |
local.message.claim | 2023-07-12T19:54:09.286+0300|||rp00390|||submit_approve|||dc_contributor_author|||None | * |
dc.identifier.scopusquality | Q1 | - |
dc.owner | Pamukkale_University | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
crisitem.author.dept | 10.07. Mechanical Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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