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dc.creatorRadojević, Miloš
dc.creatorJanković, Bojan
dc.creatorJovanović, Vladimir
dc.creatorStojiljković, Dragoslava
dc.creatorManić, Nebojša
dc.date.accessioned2022-09-19T18:31:12Z
dc.date.available2022-09-19T18:31:12Z
dc.date.issued2018
dc.identifier.issn1932-6203
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/2876
dc.description.abstractThe pyrolysis process of various types of biomass (agricultural and wood by-products) in non-isothermal conditions using simultaneous thermal analyses (STA) was investigated. Devolatilization kinetics was implemented through combined application of model-free methods and DAEM (distributed activation energy model) using Gaussian distribution functions of activation energies. Results obtained were used in the curve prediction of the rate of mass loss against temperature at various heating rates by numerical optimization. The possible calculation of biomass samples behavior under pyrolytic conditions as the summation of their pseudo-components, hemicelluloses, cellulose, and lignin is also explored. The differences between experimental and calculated data are less than 3.20% offering a quality test of applicability of proposed model on the kinetic studies of a wide range of biomass samples. It seems that the most physically realistic model is the decomposition of biomass in three reactions, depending on the composition of the biomass regarding hemicelluloses, cellulose, and lignin. Kinetic model applied here may serve as a starting point to build more complex models capable of describing the thermal behavior of plant materials during thermochemical processing.en
dc.publisherPublic Library Science, San Francisco
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourcePLOS ONE
dc.titleComparative pyrolysis kinetics of various biomasses based on model-free and DAEM approaches improved with numerical optimization procedureen
dc.typearticle
dc.rights.licenseBY
dc.citation.issue10
dc.citation.other13(10): -
dc.citation.rankM22
dc.citation.volume13
dc.identifier.doi10.1371/journal.pone.0206657
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/1570/2873.pdf
dc.identifier.pmid30379972
dc.identifier.scopus2-s2.0-85055832275
dc.identifier.wos000448823700141
dc.type.versionpublishedVersion


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