Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/196181
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampCosta, Aline Carvalho dapt_BR
dc.contributor.authorunicampMaciel Filho, Rubenspt_BR
dc.typeArtigopt_BR
dc.titleEvaluation of optimization techniques for an extractive alcoholic fermentation processpt_BR
dc.contributor.authorFilho, Rubens Macielpt_BR
dc.contributor.authorda Costa, Aline Cpt_BR
unicamp.authorAline C da Costa, DPQ/FEQ/UNICAMP, Cx. Postal 6066, Campinas, SP, 13081-970 Brazil. accosta@feq.unicamp.brpt_BR
unicamp.author.externalRubens Maciel Filho,pt
dc.subjectFermentaçãopt_BR
dc.subject.otherlanguageFermentationpt_BR
dc.description.abstractThe mathematical optimization of a continuous alcoholic fermentation process combined with a flash column under vacuum was studied. The objective was to maximize % yield and productivity in the fermentor. The results using surface response analysis combined with modeling and simulation were compared withy those obtained when the problem was written as a nonlinear programming problem and was solved with a successive quadratic programming (SQP) technique. Two process models were evaluated when the process was optimized using the SQP technique. The first one is a deterministic model, whose kinetic parameters were experimentally determined as functions of the temperature, and the second is a statistical model obtained using the factorial design technique combined with simulation. Although the best result was the one obtained using the rigorous model, the values for productivity and % yield obtained using the simplified model are acceptable, and these models can be used when the development of a rigorous model is excessively difficult, slow, or expensive.en
dc.description.abstractThe mathematical optimization of a continuous alcoholic fermentation process combined with a flash column under vacuum was studied. The objective was to maximize % yield and productivity in the fermentor. The results using surface response analysis combined with modeling and simulation were compared withy those obtained when the problem was written as a nonlinear programming problem and was solved with a successive quadratic programming (SQP) technique. Two process models were evaluated when the process was optimized using the SQP technique. The first one is a deterministic model, whose kinetic parameters were experimentally determined as functions of the temperature, and the second is a statistical model obtained using the factorial design technique combined with simulation. Although the best result was the one obtained using the rigorous model, the values for productivity and % yield obtained using the simplified model are acceptable, and these models can be used when the development of a rigorous model is excessively difficult, slow, or expensive.pt
dc.relation.ispartofApplied biochemistry and biotechnologypt_BR
dc.relation.ispartofabbreviationAppl. biochem. biotechnol.pt_BR
dc.publisher.cityCliftonpt_BR
dc.publisher.countryUSApt_BR
dc.publisherSpringer USpt_BR
dc.date.issued2004pt_BR
dc.date.monthofcirculationMar.pt_BR
dc.identifier.citationApplied Biochemistry And Biotechnology. v. 113-116, p. 485-96, 2004.pt_BR
dc.language.isoengpt_BR
dc.description.volume114pt_BR
dc.description.issuenumber1-3pt_BR
dc.description.firstpage485pt_BR
dc.description.lastpage496pt_BR
dc.rightsfechadopt_BR
dc.sourcePubMedpt_BR
dc.sourcePUBMEDpt_br
dc.identifier.issn0273-2289pt_BR
dc.identifier.eissn1559-0291pt_BR
dc.identifier.urlhttps://link.springer.com/article/10.1385/ABAB%3A114%3A1-3%3A485pt_BR
dc.date.available2015-11-27T12:58:50Z-
dc.date.accessioned2015-11-27T12:58:50Z-
dc.description.provenanceMade available in DSpace on 2015-11-27T12:58:50Z (GMT). No. of bitstreams: 1 pmed_15054272.pdf: 156641 bytes, checksum: 5fdfa5cf0416d5f7eb975cdc2f33344b (MD5) Previous issue date: 2004en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/196181-
dc.identifier.idPubmed15054272pt_BR
dc.contributor.departmentDepartamento de Desenvolvimento de Processos e Produtospt_BR
dc.contributor.departmentDepartamento de Desenvolvimento de Processos e Produtospt_BR
dc.contributor.unidadeFaculdade de Engenharia Químicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Químicapt_BR
dc.subject.keywordKineticspt_BR
dc.identifier.source15054272-
dc.type.formArtigo original-
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