Modeling of Bio-Oil Production by Pyrolysis of Woody Biomass: Artificial Neural Network Approach

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dc.authoridKOKTEN, Erkan Sami/0000-0003-3428-4534
dc.contributor.authorOzbay, Gunay
dc.contributor.authorKokten, Erkan Sami
dc.date.accessioned2024-09-29T16:12:16Z
dc.date.available2024-09-29T16:12:16Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis study is dedicated to developing a reliable artificial neural network (ANN) model to model the pyrolysis liquid product (bio-oil). Some related parameters with the bio-oil yield such as the pyrolysis temperature, duration, catalyst type, catalyst ratio, particle size, proximate, and ultimate analysis of the biomass were tested. Due to the different characteristics of different biomass types and pyrolysis methods, only slow and intermediate pyrolysis data from woody biomass were used in modeling. The correlation coefficients (R) were 0.992, 0.933, and 0.951 for training, validation, and testing, respectively. In order to evaluate the predictability of the ANN model, the predicted results were compared with the experimental results that were not introduced before. The simulated data were in good agreement with the experimental results indicating the reliability of the developed model. The relative impact results revealed that the most important parameter that affects the bio-oil yield was catalyst type (11.4%).en_US
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey) [115O453]en_US
dc.description.sponsorshipThe support from TUBITAK (The Scientific and Technological Research Council of Turkey) [Project grant number: 115O453] for this research are gratefully acknowledged. This study was made as a part of the Ph.D. thesis by Erkan Sami KOKTEN in the Institute of Graduate Programs, Karabuk University, [Adviser: Assoc. Prof. Dr. Gunay OZBAY].en_US
dc.identifier.endpage1264en_US
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue4en_US
dc.identifier.startpage1255en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8636
dc.identifier.volume23en_US
dc.identifier.wosWOS:000581901200033en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherGazi Univen_US
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectbio-oilen_US
dc.subjectcatalysten_US
dc.subjectmodelingen_US
dc.subjectpyrolysisen_US
dc.titleModeling of Bio-Oil Production by Pyrolysis of Woody Biomass: Artificial Neural Network Approachen_US
dc.typeArticleen_US

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