The best fuel selection with hybrid multiple-criteria decision making approaches in a CI engine fueled with their blends and pure biodiesels produced from different sources

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dc.authoridBalki, Mustafa Kemal/0000-0001-9396-5239
dc.authoridAydin, Selman/0000-0001-9685-9853
dc.authoridERDOGAN, Sinan/0000-0001-8844-0761
dc.contributor.authorErdogan, Sinan
dc.contributor.authorBalki, Mustafa Kemal
dc.contributor.authorAydin, Selman
dc.contributor.authorSayin, Cenk
dc.date.accessioned2025-03-23T19:38:11Z
dc.date.available2025-03-23T19:38:11Z
dc.date.issued2019
dc.departmentSinop Üniversitesi
dc.description.abstractIn engine tests where the feasibility of alternative fuels is being investigated, the results of the engine performance, combustion characteristics, and exhaust emissions should be considered as a whole. It is difficult to determine the optimal parameters due to a large number of results obtained in multi-variable experiments. Multi-criteria decision making (MCDM) methods are preferred in solving such problems to energy management and energy efficiency. This paper deals with an application of a novel hybrid MCDM technique is suggested to select the optimum fuel for the compression ignition (CI). Five academicians who are an expert in the field of CI engines are selected to set criteria in the MCDM. Engine tests carried out at the constant engine speed and the resistive load of 10.8 kW in the generator-engine set. The results were used in the MCDM process. In this study, the hybrid models which are SWARA-MOORA, and ANP-MOORA has been preferred as the MCDM methods. The best fuel choice was made from fuels such as animal fat biodiesel (AFB), vegetable oil biodiesel (VOB), diesel fuel and the blend fuels. According to results, it was determined that the best fuel is VOB20 in both hybrid methods according to the determined criteria. (C) 2018 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipScientific Research Projects Unit of Marmara University in Turkey [FEN-C-DRP-120516-0223]
dc.description.sponsorshipThis work was supported by the Scientific Research Projects Unit of Marmara University in Turkey (Project No: FEN-C-DRP-120516-0223).
dc.identifier.doi10.1016/j.renene.2018.11.060
dc.identifier.endpage668
dc.identifier.issn0960-1481
dc.identifier.issn1879-0682
dc.identifier.scopus2-s2.0-85059332579
dc.identifier.scopusqualityQ1
dc.identifier.startpage653
dc.identifier.urihttps://doi.org/10.1016/j.renene.2018.11.060
dc.identifier.urihttps://hdl.handle.net/11486/6090
dc.identifier.volume134
dc.identifier.wosWOS:000456760900058
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRenewable Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectMulti-criteria decision making (MCDM)
dc.subjectVegetable oil biodiesel (VOB)
dc.subjectAnimal fat biodiesel (AFB)
dc.subjectANP
dc.subjectSWARA
dc.subjectMOORA
dc.subjectBest fuel selection
dc.titleThe best fuel selection with hybrid multiple-criteria decision making approaches in a CI engine fueled with their blends and pure biodiesels produced from different sources
dc.typeArticle

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