Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model

Detalhes bibliográficos
Autor(a) principal: Costa Junior, José Martim
Data de Publicação: 2018
Outros Autores: Naveira-Cotta, Carolina Palma
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRJ
Texto Completo: http://hdl.handle.net/11422/8196
Resumo: Indisponível.
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spelling Costa Junior, José MartimNaveira-Cotta, Carolina Palma2019-05-24T17:20:03Z2023-11-30T03:03:27Z2018-11-230263-8762http://hdl.handle.net/11422/819610.1016/j.cherd.2018.11.023Indisponível.High yields in the production of biodiesel at very short residence times can be obtained by means of micro-reactors technology. The theoretical study of the reaction mechanisms involved in biodiesel synthesis in micro-reactors is crucial in achieving adequate design conditions towards maximizing biodiesel production. Such a physico-chemical phenomenon involves complex liquid–liquid flow and mass transfer processes, besides the transesterification reaction, and the determination of the kinetic coefficients is essential in using the mathematical models for the design of the micro-reactors. In this work, a nonlinear coupled mathematical model of first-order ordinary differential equations has been developed, using the Coupled Integral Equations Approach (CIEA) for model reduction, starting from a diffusive-convective-reactive three-dimensional mathematical model that describes the local species concentrations involved in the biodiesel synthesis. The ODEs system is numerically solved using the NDSolve routine of the Mathematica platform. The Markov Chain Monte Carlo method (MCMC) is employed in solving the inverse problem to estimate the kinetic coefficients, using synthetic experimental data with low conversion rates, which maximize the presence of intermediate species and increase the sensitivity of the problem to the desired parameters. The results presented indicate that the CIEA in combination with the MCMC statistical inference yield an efficient and robust combination for the direct - inverse analysis of such reactive mass transfer problems.Submitted by Jairo Amaro (jairo.amaro@sibi.ufrj.br) on 2019-05-24T17:20:03Z No. of bitstreams: 1 2-2019_Estimationofkineticcoefficients-min.pdf: 1418747 bytes, checksum: 83065db54068bc775d3aaf96360597ac (MD5)Made available in DSpace on 2019-05-24T17:20:03Z (GMT). No. of bitstreams: 1 2-2019_Estimationofkineticcoefficients-min.pdf: 1418747 bytes, checksum: 83065db54068bc775d3aaf96360597ac (MD5) Previous issue date: 2018-11-23engElsevierBrasilNúcleo Interdisciplinar de Dinâmica dos FluidosChemical Engineering Research and DesignCNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOSBiodieselMicro-reactorMass transferLumped-differential formulationKinetic coefficientsInverse problemEstimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer modelinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article141550565abertoinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRJinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJORIGINAL2-2019_Estimationofkineticcoefficients-min.pdf2-2019_Estimationofkineticcoefficients-min.pdfapplication/pdf1418747http://pantheon.ufrj.br:80/bitstream/11422/8196/1/2-2019_Estimationofkineticcoefficients-min.pdf83065db54068bc775d3aaf96360597acMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81853http://pantheon.ufrj.br:80/bitstream/11422/8196/2/license.txtdd32849f2bfb22da963c3aac6e26e255MD5211422/81962023-11-30 00:03:27.22oai:pantheon.ufrj.br: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Repositório de PublicaçõesPUBhttp://www.pantheon.ufrj.br/oai/requestopendoar:2023-11-30T03:03:27Repositório Institucional da UFRJ - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.en.fl_str_mv Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
title Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
spellingShingle Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
Costa Junior, José Martim
CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS
Biodiesel
Micro-reactor
Mass transfer
Lumped-differential formulation
Kinetic coefficients
Inverse problem
title_short Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
title_full Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
title_fullStr Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
title_full_unstemmed Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
title_sort Estimation of kinetic coefficients in micro-reactors for biodiesel synthesis: Bayesian inference with reduced mass transfer model
author Costa Junior, José Martim
author_facet Costa Junior, José Martim
Naveira-Cotta, Carolina Palma
author_role author
author2 Naveira-Cotta, Carolina Palma
author2_role author
dc.contributor.author.fl_str_mv Costa Junior, José Martim
Naveira-Cotta, Carolina Palma
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS
topic CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA::AREAS CLASSICAS DE FENOMENOLOGIA E SUAS APLICACOES::DINAMICA DOS FLUIDOS
Biodiesel
Micro-reactor
Mass transfer
Lumped-differential formulation
Kinetic coefficients
Inverse problem
dc.subject.por.fl_str_mv Biodiesel
dc.subject.eng.fl_str_mv Micro-reactor
Mass transfer
Lumped-differential formulation
Kinetic coefficients
Inverse problem
description Indisponível.
publishDate 2018
dc.date.issued.fl_str_mv 2018-11-23
dc.date.accessioned.fl_str_mv 2019-05-24T17:20:03Z
dc.date.available.fl_str_mv 2023-11-30T03:03:27Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/11422/8196
dc.identifier.issn.pt_BR.fl_str_mv 0263-8762
dc.identifier.doi.pt_BR.fl_str_mv 10.1016/j.cherd.2018.11.023
identifier_str_mv 0263-8762
10.1016/j.cherd.2018.11.023
url http://hdl.handle.net/11422/8196
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.en.fl_str_mv Chemical Engineering Research and Design
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Núcleo Interdisciplinar de Dinâmica dos Fluidos
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRJ
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
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institution UFRJ
reponame_str Repositório Institucional da UFRJ
collection Repositório Institucional da UFRJ
bitstream.url.fl_str_mv http://pantheon.ufrj.br:80/bitstream/11422/8196/1/2-2019_Estimationofkineticcoefficients-min.pdf
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