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dc.creatorManić, Nebojša
dc.creatorJanković, Bojan
dc.creatorDodevski, Vladimir
dc.date.accessioned2022-09-19T19:17:39Z
dc.date.available2022-09-19T19:17:39Z
dc.date.issued2021
dc.identifier.issn1388-6150
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/3559
dc.description.abstractAs representative among biomass feedstocks, Poplar fluff was chosen to analyze the pyrolysis properties of this new biofuel. Thermogravimetry under inert (argon) atmosphere at the heating rates of 5, 10, 15, and 20 degrees C min(-1)was employed in the investigation of thermal processing of studied biomass. The determination of kinetic parameters and estimation of reaction mechanism function were done through application of the state-of-the-art NETZSCH Kinetics NEO software. With this aim, the various model-free models and model-based calculations were implemented. The obtained results showed that the most appropriate kinetic model to describe the thermal decomposition of Poplar fluff sample wasn-dimensional acceleratory Avrami-Erofeev model (An) for three-step consecutive reaction mechanism. Governed reaction pathway in pyrolysis process represents fragmentation reactions which arise from levoglucosan decomposing that permits permanent gases and refractory tars, where diffusion-controlled process is involved in the sample devolatilization. The modulated and multiple-step predictions of pyrolysis process were also carried out.en
dc.publisherSpringer, Dordrecht
dc.relationMinistry of Education, Science and Technological Development of the Republic of Serbia
dc.rightsrestrictedAccess
dc.sourceJournal of Thermal Analysis and Calorimetry
dc.subjectThree-step consecutive reactionen
dc.subjectThermogravimetryen
dc.subjectPyrolysisen
dc.subjectPoplar fluffen
dc.subjectModulated TG simulationen
dc.subjectFragmentationen
dc.titleModel-free and model-based kinetic analysis of Poplar fluff (Populus alba) pyrolysis process under dynamic conditionsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage3438
dc.citation.issue5
dc.citation.other143(5): 3419-3438
dc.citation.rankM21
dc.citation.spage3419
dc.citation.volume143
dc.identifier.doi10.1007/s10973-020-09675-y
dc.identifier.scopus2-s2.0-85083863204
dc.identifier.wos000558418800001
dc.type.versionpublishedVersion


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