Modeling of bio-oil production by pyrolysis of woody biomass: Artificial neural network approach

dc.contributor.authorÖzbay, Günay
dc.contributor.authorKökten, Erkan Sami
dc.date.accessioned2021-06-28T10:38:23Z
dc.date.available2021-06-28T10:38:23Z
dc.date.issued2020
dc.departmentMühendislik Fakültesi
dc.descriptionÖzbay, Günay ( Aksaray, Yazar )
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%).
dc.identifier.endpage1264en_US
dc.identifier.issue4en_US
dc.identifier.startpage1255en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12451/8204
dc.identifier.volume23en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherGazi Üniversitesi
dc.relation.ispartofPoliteknik Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial Neural Network
dc.subjectBio-oil
dc.subjectCatalyst
dc.subjectModeling
dc.subjectPyrolysis
dc.titleModeling of bio-oil production by pyrolysis of woody biomass: Artificial neural network approach
dc.title.alternativeOdunsu biyokütlenin pirolizi ile biyoyağ üretiminin modellenmesi: yapay sinir ağları yaklaşımı
dc.typeArticle

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