Modeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorFederal University of Rio Grande do Sul (UFRGS)-
Autor(es): dc.contributorPropulsion and Energy Laboratory-
Autor(es): dc.creatorAmaro, Jordan [UNESP]-
Autor(es): dc.creatorRosado, Diego Jhovanny Mariños [UNESP]-
Autor(es): dc.creatorMendiburu, Andrés Z.-
Autor(es): dc.creatordos Santos, Leila Ribeiro-
Autor(es): dc.creatorde Carvalho., João A. [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:48:53Z-
Data de disponibilização: dc.date.available2022-02-22T00:48:53Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.fuel.2020.119068-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206989-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206989-
Descrição: dc.descriptionThis work consists of developing a predictive model (PM) for syngas composition obtained from biomass gasification in fixed bed gasifiers. The PM is composed of three correlations which are made for carbon conversion efficiency, gasification temperature and the correction factor for the equilibrium constant of the water-gas homogeneous reaction. Such correlations were established using results obtained from the application of an optimization method (AOM) that uses Kuhn–Tucker multipliers. Syngas compositions determined through AOM were compared with experimental compositions and those estimated by other models, resulting that the AOM always determines the best estimates with respect to the root mean square error (RMSE). For syngas compositions estimated by AOM, the RMSE interval is [0.21, 4.11]. The PM was validated with six experimental compositions. From the predicted syngas compositions it was found that the ranges for LHV, cold gas efficiency, carbon conversion efficiency and gasification temperature were [4.594, 5.116 MJ/Nm3], [55.74, 68.18%], [74.20, 88.40%] and [749, 918 °C], respectively. Additionally, for the predicted syngas compositions the RMSE interval was determined as [0.68, 2.25]. Therefore, the PM was considered to be effective in estimating syngas compositions.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionSão Paulo State University (UNESP) Engineering School Chemistry and Energy Department, Campus of Guaratinguetá-
Descrição: dc.descriptionFederal University of Rio Grande do Sul (UFRGS) Department of Mechanical Engineering-
Descrição: dc.descriptionTechnological Institute of Aeronautics (ITA) Combustion Propulsion and Energy Laboratory-
Descrição: dc.descriptionSão Paulo State University (UNESP) Engineering School Chemistry and Energy Department, Campus of Guaratinguetá-
Idioma: dc.languageen-
Relação: dc.relationFuel-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBiomass-
Palavras-chave: dc.subjectChemical equilibrium model-
Palavras-chave: dc.subjectFixed bed-
Palavras-chave: dc.subjectGasification-
Palavras-chave: dc.subjectSyngas-
Título: dc.titleModeling of syngas composition obtained from fixed bed gasifiers using Kuhn–Tucker multipliers-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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