Co-combustion of peanut hull and coal blends: artificial neural networks modeling, particle swarm optimization and Monte Carlo simulation

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dc.authorid0000-0001-6841-6457en_US
dc.contributor.authorBüyükada, Musa
dc.date.accessioned2021-06-23T19:43:11Z
dc.date.available2021-06-23T19:43:11Z
dc.date.issued2016
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractCo-combustion of coal and peanut hull (PH) were investigated using artificial neural networks (ANN), particle swarm optimization, and Monte Carlo simulation as a function of blend ratio, heating rate, and temperature. The best prediction was reached by ANN61 multi-layer perception model with a R-2 of 0.99994. Blend ratio of 90 to 10 (PH to coal, wt%), temperature of 305 degrees C, and heating rate of 49 degrees C min (1) were determined as the optimum input values and yield of 87.4% was obtained under PSO optimized conditions. The validation experiments resulted in yields of 87.5% +/- 0.2 after three replications. Monte Carlo simulations were used for the probabilistic assessments of stochastic variability and uncertainty associated with explanatory variables of co-combustion process. (C) 2016 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.biortech.2016.05.091
dc.identifier.endpage286en_US
dc.identifier.issn0960-8524
dc.identifier.issn1873-2976
dc.identifier.pmid27243606en_US
dc.identifier.scopus2-s2.0-84969961378en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage280en_US
dc.identifier.urihttps://doi.org/10.1016/j.biortech.2016.05.091
dc.identifier.urihttps://hdl.handle.net/20.500.12491/8715
dc.identifier.volume216en_US
dc.identifier.wosWOS:000379555900035en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBüyükada, Musa
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofBioresource Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPeanut Hullen_US
dc.subjectCo-Combustionen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectMonte Carloen_US
dc.titleCo-combustion of peanut hull and coal blends: artificial neural networks modeling, particle swarm optimization and Monte Carlo simulationen_US
dc.typeArticleen_US

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