Thermodynamic model for process design, simulation and optimization in the production of biodiesel

Autores
Cotabarren, Natalia Soledad; Hegel, Pablo Ezequiel; Pereda, Selva
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The separation processes of the biodiesel production process require thermodynamic models able to correlate and predict the phase equilibria of mixtures at different stages of the process. Moreover, some units like those in the glycerol washing sector, require high accuracy due to their sensitivity to the components distribution coefficients. In this work, the Group Contribution Equation of State (GCA-EoS) is applied to model several systems of importance in this field. The mixtures evaluated can be highly non-ideal, especially in the last purification steps where polar compounds are infinitely diluted in biodiesel. Experimental VLE and LLE data were satisfactorily correlated and predicted with a single set of interaction parameters, using a simplified version of the association contribution of the model. In this way GCA-EoS can be used for the whole process with a faster convergence of simulated units in comparison with the case of considering the rigorous association model. Furthermore, considering that GCA-EoS is a group contribution model, biodiesel production from different raw material, i.e soy, palm or canola oil, can be predicted without requiring new parameters adjustment. The prediction model can be applied to the design, simulation and optimization of the production and purification sections.
Fil: Cotabarren, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Hegel, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Pereda, Selva. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
Biodiesel
Gca-Eos
Group Contribution
Liquid-Liquid Equilibria
Vapor-Liquid Equilibria
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:11336/25454
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/25454
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Thermodynamic model for process design, simulation and optimization in the production of biodieselCotabarren, Natalia SoledadHegel, Pablo EzequielPereda, SelvaBiodieselGca-EosGroup ContributionLiquid-Liquid EquilibriaVapor-Liquid Equilibriahttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The separation processes of the biodiesel production process require thermodynamic models able to correlate and predict the phase equilibria of mixtures at different stages of the process. Moreover, some units like those in the glycerol washing sector, require high accuracy due to their sensitivity to the components distribution coefficients. In this work, the Group Contribution Equation of State (GCA-EoS) is applied to model several systems of importance in this field. The mixtures evaluated can be highly non-ideal, especially in the last purification steps where polar compounds are infinitely diluted in biodiesel. Experimental VLE and LLE data were satisfactorily correlated and predicted with a single set of interaction parameters, using a simplified version of the association contribution of the model. In this way GCA-EoS can be used for the whole process with a faster convergence of simulated units in comparison with the case of considering the rigorous association model. Furthermore, considering that GCA-EoS is a group contribution model, biodiesel production from different raw material, i.e soy, palm or canola oil, can be predicted without requiring new parameters adjustment. The prediction model can be applied to the design, simulation and optimization of the production and purification sections.Fil: Cotabarren, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Hegel, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Pereda, Selva. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaElsevier Science2013-09-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/25454Cotabarren, Natalia Soledad; Hegel, Pablo Ezequiel; Pereda, Selva; Thermodynamic model for process design, simulation and optimization in the production of biodiesel; Elsevier Science; Fluid Phase Equilibria; 362; 19-9-2013; 108-1120378-3812CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.fluid.2013.09.019info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:55:07Zoai:ri.conicet.gov.ar:11336/25454instacron: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 09:55:07.333CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Thermodynamic model for process design, simulation and optimization in the production of biodiesel
title Thermodynamic model for process design, simulation and optimization in the production of biodiesel
spellingShingle Thermodynamic model for process design, simulation and optimization in the production of biodiesel
Cotabarren, Natalia Soledad
Biodiesel
Gca-Eos
Group Contribution
Liquid-Liquid Equilibria
Vapor-Liquid Equilibria
title_short Thermodynamic model for process design, simulation and optimization in the production of biodiesel
title_full Thermodynamic model for process design, simulation and optimization in the production of biodiesel
title_fullStr Thermodynamic model for process design, simulation and optimization in the production of biodiesel
title_full_unstemmed Thermodynamic model for process design, simulation and optimization in the production of biodiesel
title_sort Thermodynamic model for process design, simulation and optimization in the production of biodiesel
dc.creator.none.fl_str_mv Cotabarren, Natalia Soledad
Hegel, Pablo Ezequiel
Pereda, Selva
author Cotabarren, Natalia Soledad
author_facet Cotabarren, Natalia Soledad
Hegel, Pablo Ezequiel
Pereda, Selva
author_role author
author2 Hegel, Pablo Ezequiel
Pereda, Selva
author2_role author
author
dc.subject.none.fl_str_mv Biodiesel
Gca-Eos
Group Contribution
Liquid-Liquid Equilibria
Vapor-Liquid Equilibria
topic Biodiesel
Gca-Eos
Group Contribution
Liquid-Liquid Equilibria
Vapor-Liquid Equilibria
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The separation processes of the biodiesel production process require thermodynamic models able to correlate and predict the phase equilibria of mixtures at different stages of the process. Moreover, some units like those in the glycerol washing sector, require high accuracy due to their sensitivity to the components distribution coefficients. In this work, the Group Contribution Equation of State (GCA-EoS) is applied to model several systems of importance in this field. The mixtures evaluated can be highly non-ideal, especially in the last purification steps where polar compounds are infinitely diluted in biodiesel. Experimental VLE and LLE data were satisfactorily correlated and predicted with a single set of interaction parameters, using a simplified version of the association contribution of the model. In this way GCA-EoS can be used for the whole process with a faster convergence of simulated units in comparison with the case of considering the rigorous association model. Furthermore, considering that GCA-EoS is a group contribution model, biodiesel production from different raw material, i.e soy, palm or canola oil, can be predicted without requiring new parameters adjustment. The prediction model can be applied to the design, simulation and optimization of the production and purification sections.
Fil: Cotabarren, Natalia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Hegel, Pablo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Pereda, Selva. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description The separation processes of the biodiesel production process require thermodynamic models able to correlate and predict the phase equilibria of mixtures at different stages of the process. Moreover, some units like those in the glycerol washing sector, require high accuracy due to their sensitivity to the components distribution coefficients. In this work, the Group Contribution Equation of State (GCA-EoS) is applied to model several systems of importance in this field. The mixtures evaluated can be highly non-ideal, especially in the last purification steps where polar compounds are infinitely diluted in biodiesel. Experimental VLE and LLE data were satisfactorily correlated and predicted with a single set of interaction parameters, using a simplified version of the association contribution of the model. In this way GCA-EoS can be used for the whole process with a faster convergence of simulated units in comparison with the case of considering the rigorous association model. Furthermore, considering that GCA-EoS is a group contribution model, biodiesel production from different raw material, i.e soy, palm or canola oil, can be predicted without requiring new parameters adjustment. The prediction model can be applied to the design, simulation and optimization of the production and purification sections.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-19
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/11336/25454
Cotabarren, Natalia Soledad; Hegel, Pablo Ezequiel; Pereda, Selva; Thermodynamic model for process design, simulation and optimization in the production of biodiesel; Elsevier Science; Fluid Phase Equilibria; 362; 19-9-2013; 108-112
0378-3812
CONICET Digital
CONICET
url http://hdl.handle.net/11336/25454
identifier_str_mv Cotabarren, Natalia Soledad; Hegel, Pablo Ezequiel; Pereda, Selva; Thermodynamic model for process design, simulation and optimization in the production of biodiesel; Elsevier Science; Fluid Phase Equilibria; 362; 19-9-2013; 108-112
0378-3812
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fluid.2013.09.019
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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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