A potassium responsive numerical path to model catalytic torrefaction kinetics

Silveira, Edgar Amaral; Macedo, Lucélia Alves de; Rousset, Patrick; Candelier, Kevin; Galvão, Luiz Gustavo Oliveira; Chaves, Bruno Sant'Anna; Commandre, Jean-Michel

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Campo DC	Valor	Idioma
dc.contributor.author	Silveira, Edgar Amaral	-
dc.contributor.author	Macedo, Lucélia Alves de	-
dc.contributor.author	Rousset, Patrick	-
dc.contributor.author	Candelier, Kevin	-
dc.contributor.author	Galvão, Luiz Gustavo Oliveira	-
dc.contributor.author	Chaves, Bruno Sant'Anna	-
dc.contributor.author	Commandre, Jean-Michel	-
dc.date.accessioned	2021-10-20T21:59:52Z	-
dc.date.available	2021-10-20T21:59:52Z	-
dc.date.issued	2021-09-28	-
dc.identifier.citation	SILVEIRA, Edgar A. et al. A potassium responsive numerical path to model catalytic torrefaction kinetics. Energy, v. 239, Part B, 122208, 15 jan. 2022. DOI: https://doi.org/10.1016/j.energy.2021.122208.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/42159	-
dc.language.iso	Inglês	pt_BR
dc.publisher	Elsevier Ltd.	pt_BR
dc.rights	Acesso Restrito	pt_BR
dc.title	A potassium responsive numerical path to model catalytic torrefaction kinetics	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Torrefação	pt_BR
dc.subject.keyword	Potássio	pt_BR
dc.subject.keyword	Catálise	pt_BR
dc.subject.keyword	Cinética	pt_BR
dc.subject.keyword	Modelagem numérica	pt_BR
dc.identifier.doi	https://doi.org/10.1016/j.energy.2021.122208	pt_BR
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/abs/pii/S0360544221024567?via%3Dihub	pt_BR
dc.description.abstract1	To assess the potassium catalytic influence on the kinetic behavior of non-oxidative biomass torrefaction, two woody biomass samples (Amapaí and Eucalyptus), as well as Miscanthus samples impregnated with three different K2CO3 concentrations (0.003 M, 0.006 M, and 0.009 M) were comprehensively studied. The solid thermal degradation kinetics were analyzed through thermogravimetric analysis in usual torrefaction conditions (275 °C during 68min and 10 °C.min−1 heating rate) and an original Potassium Responsive Numerical Path (PRNP). Therefore, a two-step reaction model with unified activation energies was integrated within a numerical method that considers the torrefaction severity influence for each potassium-loading content in all three biomasses. The proposed PRNP enables an accurate solid yield prediction (R2 > 0.9995). A strong (R2 between 0.91 and 0.99) and a significant (0.0463) linear correlation was highlighted between the potassium content in biomass, the increasing reaction rates, and pre-exponential factors. The solid and volatile product distribution depicted faster and marked degradation for solid pseudo-components and anticipated a higher volatile release. The catalytic torrefaction severity factor determination enabled correlating treatment severity and kinetic rates showing better correlations than K% for wood biomass. The accurate results are conducive to developing numerical models that are essential for assessing solid fuel upgrading under catalytic effect in torrefaction plants.	pt_BR
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