Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey

Basit Öğe Kaydı
dc.authoridSengul, Umran/0000-0001-5867-863X
dc.authoridEslamian Shiraz, Seyedhadi/0000-0002-9730-7126
dc.authoridEren, Mirac/0000-0002-5150-9144
dc.authoridSENGUL, Ahmet Bilal/0000-0002-1939-0550
dc.contributor.authorSengul, Umran
dc.contributor.authorEren, Mirac
dc.contributor.authorShiraz, Seyedhadi Eslamian
dc.contributor.authorGezder, Volkan
dc.contributor.authorSengul, Ahmet Bilal
dc.date.accessioned2025-01-27T20:45:54Z
dc.date.available2025-01-27T20:45:54Z
dc.date.issued2015
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractMulti-Criteria Decision Making (MCDM) techniques are gaining popularity in energy supply systems. The aim of this paper is to develop the multi-criteria decision support framework for ranking renewable energy supply systems in Turkey. Given the selection of renewable energy supply systems involves many conflicting criteria, multi criteria decision methods (Fuzzy TOPSIS) were employed for the analysis. The Interval Shannon's Entropy methodology was used to determine weight values of the criteria. In this study, alpha = 0.1, 0.5 and 0.9 values based sensitivity analysis were performed. Three alpha-cutting levels were identical to the sequence of alternatives. According to result, the first criterion in preference ranking of renewable energy sources in Turkey is the Amount of Energy Produced, followed by the ranking systems Land use, Operation and maintenance cost, Installed capacity, Efficiency, Payback period, Investment cost, Job creation, and Value of CO2 emission. Thus the multi-criteria analysis showed that the Hydro Power Station is determined to be the most renewable energy supply system in Turkey. Additionally, the Geothermal Power Station, Regulator and Wind Power Station are determined to be the second, third and fourth, respectively. The government of Turkey should invest, in order of priority, in these systems. The government should also evaluate the projects, which are related to these renewable energy resources. (C) 2014 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.renene.2014.10.045
dc.identifier.endpage625
dc.identifier.issn0960-1481
dc.identifier.scopus2-s2.0-84910046427
dc.identifier.scopusqualityQ1
dc.identifier.startpage617
dc.identifier.urihttps://doi.org/10.1016/j.renene.2014.10.045
dc.identifier.urihttps://hdl.handle.net/20.500.12428/24754
dc.identifier.volume75
dc.identifier.wosWOS:000347580600066
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRenewable Energy
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectRenewable energy supply systems
dc.subjectMulti-criteria decision making
dc.subjectFuzzy TOPSIS
dc.subjectInterval shannon's entropy
dc.titleFuzzy TOPSIS method for ranking renewable energy supply systems in Turkey
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu