Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production

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dc.authoridGünay, M. Erdem/0000-0003-1282-718X|TAPAN, N. Alper/0000-0001-8599-0450|YILDIRIM, RAMAZAN/0000-0001-5077-5689
dc.authorwosidGünay, M. Erdem/I-1564-2019
dc.authorwosidYILDIRIM, RAMAZAN/AAQ-4867-2020
dc.authorwosidTAPAN, Niyazi A/H-6416-2013
dc.contributor.authorTapan, N. Alper
dc.contributor.authorYildirim, Ramazan
dc.contributor.authorGunay, M. Erdem
dc.date.accessioned2024-07-18T20:40:01Z
dc.date.available2024-07-18T20:40:01Z
dc.date.issued2016
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractIn this study, published experimental works on catalytic transesterification were analyzed to determine the most important variables affecting fatty acid conversion and the most suitable ranges of these variables for high performance. A database of 1324 data points was constructed from the experimental results in 31 representative papers published between 2008 and 2014, and this database was analyzed using artificial neural network (ANN) and decision tree (DT) techniques. It was found from ANN analysis that the most important variable for high fatty acid conversion was reaction time (with about 40% relative importance) followed by catalyst loading, alcohol:oil molar ratio, operating temperature, and support type with similar relative importance (about 10% each). DT analysis revealed 14 combinations of conditions leading to high performance, and some of these seemed to be generalizable for the use for the future studies; some heuristics were also derived from these generalizable conditions. (c) 2016 Society of Chemical Industry and John Wiley & Sons, Ltden_US
dc.identifier.doi10.1002/bbb.1650
dc.identifier.endpage434en_US
dc.identifier.issn1932-104X
dc.identifier.issn1932-1031
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84964677440en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage422en_US
dc.identifier.urihttps://doi.org/10.1002/bbb.1650
dc.identifier.urihttps://hdl.handle.net/11411/6929
dc.identifier.volume10en_US
dc.identifier.wosWOS:000379919400009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofBiofuels Bioproducts & Biorefining-Biofpren_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData Miningen_US
dc.subjectKnowledge Extractionen_US
dc.subjectBiodieselen_US
dc.subjectDecision Treesen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectEsterificationen_US
dc.subjectArtificial Neural-Networksen_US
dc.subjectSelective Co Oxidationen_US
dc.subjectSolid Base Catalysten_US
dc.subjectSoybean Oilen_US
dc.subjectCalcium-Oxideen_US
dc.subjectKnowledge Extractionen_US
dc.subjectVegetable-Oilsen_US
dc.subjectAcid Catalysten_US
dc.subjectRapeseed Oilen_US
dc.subjectTransesterificationen_US
dc.titleAnalysis of past experimental data in literature to determine conditions for high performance in biodiesel productionen_US
dc.typeArticleen_US

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