Calculation and prediction of multicomponent azeotropes with activity coefficient models

Autores
Mandagaran, Beatriz Adriana; Campanella, Enrique Angel
Año de publicación
2008
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper studies the multicomponent azeotropic capacity prediction of activity coefficient models. Wilson and UNIFAC models are used for homogeneous azeotropes while UNIQUAC and UNIFAC models are used for heterogeneous azeotropes. Calculations were done with the commercial software DISTIL and HYSYS using the DISTIL Data Base for the binary parameters. In the case that binary parameters were not available they were estimated from binary experimental data. The prediction capability of the models decreases as the number of components in the mixtures increases. Prediction from Wilson and UNIQUAC are good for ternaries and poor for 4 and 5 component mixtures. Prediction using UNIFAC is as good as those from Wilson and UNIQUAC. However, calculations with UNIFAC produce occasionally two liquid phases in homogeneous systems.
Fil: Mandagaran, Beatriz Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Campanella, Enrique Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
ACTIVITY COEFFICIENT
AZEOTROPES
AZEOTROPIC DISTILLATION
MULTICOMPONENT MIXTURES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/84062
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Calculation and prediction of multicomponent azeotropes with activity coefficient modelsCálculo y predicción de azeótropos multicomponentes con modelos de coeficientes de actividadMandagaran, Beatriz AdrianaCampanella, Enrique AngelACTIVITY COEFFICIENTAZEOTROPESAZEOTROPIC DISTILLATIONMULTICOMPONENT MIXTUREShttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper studies the multicomponent azeotropic capacity prediction of activity coefficient models. Wilson and UNIFAC models are used for homogeneous azeotropes while UNIQUAC and UNIFAC models are used for heterogeneous azeotropes. Calculations were done with the commercial software DISTIL and HYSYS using the DISTIL Data Base for the binary parameters. In the case that binary parameters were not available they were estimated from binary experimental data. The prediction capability of the models decreases as the number of components in the mixtures increases. Prediction from Wilson and UNIQUAC are good for ternaries and poor for 4 and 5 component mixtures. Prediction using UNIFAC is as good as those from Wilson and UNIQUAC. However, calculations with UNIFAC produce occasionally two liquid phases in homogeneous systems.Fil: Mandagaran, Beatriz Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Campanella, Enrique Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaCentro de Informacion Tecnologica2008-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/84062Mandagaran, Beatriz Adriana; Campanella, Enrique Angel; Calculation and prediction of multicomponent azeotropes with activity coefficient models; Centro de Informacion Tecnologica; Información Tecnológica; 19; 5; 5-2008; 73-840716-8756CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/doi/10.1612/inf.tecnol.3931it.07info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:44:03Zoai:ri.conicet.gov.ar:11336/84062instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:44:04.263CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Calculation and prediction of multicomponent azeotropes with activity coefficient models
Cálculo y predicción de azeótropos multicomponentes con modelos de coeficientes de actividad
title Calculation and prediction of multicomponent azeotropes with activity coefficient models
spellingShingle Calculation and prediction of multicomponent azeotropes with activity coefficient models
Mandagaran, Beatriz Adriana
ACTIVITY COEFFICIENT
AZEOTROPES
AZEOTROPIC DISTILLATION
MULTICOMPONENT MIXTURES
title_short Calculation and prediction of multicomponent azeotropes with activity coefficient models
title_full Calculation and prediction of multicomponent azeotropes with activity coefficient models
title_fullStr Calculation and prediction of multicomponent azeotropes with activity coefficient models
title_full_unstemmed Calculation and prediction of multicomponent azeotropes with activity coefficient models
title_sort Calculation and prediction of multicomponent azeotropes with activity coefficient models
dc.creator.none.fl_str_mv Mandagaran, Beatriz Adriana
Campanella, Enrique Angel
author Mandagaran, Beatriz Adriana
author_facet Mandagaran, Beatriz Adriana
Campanella, Enrique Angel
author_role author
author2 Campanella, Enrique Angel
author2_role author
dc.subject.none.fl_str_mv ACTIVITY COEFFICIENT
AZEOTROPES
AZEOTROPIC DISTILLATION
MULTICOMPONENT MIXTURES
topic ACTIVITY COEFFICIENT
AZEOTROPES
AZEOTROPIC DISTILLATION
MULTICOMPONENT MIXTURES
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper studies the multicomponent azeotropic capacity prediction of activity coefficient models. Wilson and UNIFAC models are used for homogeneous azeotropes while UNIQUAC and UNIFAC models are used for heterogeneous azeotropes. Calculations were done with the commercial software DISTIL and HYSYS using the DISTIL Data Base for the binary parameters. In the case that binary parameters were not available they were estimated from binary experimental data. The prediction capability of the models decreases as the number of components in the mixtures increases. Prediction from Wilson and UNIQUAC are good for ternaries and poor for 4 and 5 component mixtures. Prediction using UNIFAC is as good as those from Wilson and UNIQUAC. However, calculations with UNIFAC produce occasionally two liquid phases in homogeneous systems.
Fil: Mandagaran, Beatriz Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Campanella, Enrique Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description This paper studies the multicomponent azeotropic capacity prediction of activity coefficient models. Wilson and UNIFAC models are used for homogeneous azeotropes while UNIQUAC and UNIFAC models are used for heterogeneous azeotropes. Calculations were done with the commercial software DISTIL and HYSYS using the DISTIL Data Base for the binary parameters. In the case that binary parameters were not available they were estimated from binary experimental data. The prediction capability of the models decreases as the number of components in the mixtures increases. Prediction from Wilson and UNIQUAC are good for ternaries and poor for 4 and 5 component mixtures. Prediction using UNIFAC is as good as those from Wilson and UNIQUAC. However, calculations with UNIFAC produce occasionally two liquid phases in homogeneous systems.
publishDate 2008
dc.date.none.fl_str_mv 2008-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/84062
Mandagaran, Beatriz Adriana; Campanella, Enrique Angel; Calculation and prediction of multicomponent azeotropes with activity coefficient models; Centro de Informacion Tecnologica; Información Tecnológica; 19; 5; 5-2008; 73-84
0716-8756
CONICET Digital
CONICET
url http://hdl.handle.net/11336/84062
identifier_str_mv Mandagaran, Beatriz Adriana; Campanella, Enrique Angel; Calculation and prediction of multicomponent azeotropes with activity coefficient models; Centro de Informacion Tecnologica; Información Tecnológica; 19; 5; 5-2008; 73-84
0716-8756
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1612/inf.tecnol.3931it.07
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Centro de Informacion Tecnologica
publisher.none.fl_str_mv Centro de Informacion Tecnologica
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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