Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS
- Autores
- Cismondi Duarte, Martín; Cruz Doblas, J.; Gomez, M. J.; Montoya, Gerardo Federico
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- After showing in a previous publication a clear superiority to the classic Peng-Robinson EoS for the description of high pressure phase behavior in the more asymmetric alkane-alkane binary mixtures, in this work the RKPR EoS is turned into a predictive model by developing correlations of interaction parameters for all possible pairs or normal alkanes, associated also to a new parameterization of pure compounds. The proposed correlations are based on van der Waals quadratic mixing rules. Repulsive interaction lij parameters are implemented in all cases, while attractive kij interactions were necessary only for the methane-series and the more asymmetric systems of propane, in particular with carbon numbers higher than 24. The analysis of the results, in comparison to an important diversity of data available for several dozens of systems, demonstrates a very good predictive power for the new correlations, which could be useful in modeling the phase behavior of different hydrocarbon fluids.
Fil: Cismondi Duarte, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina
Fil: Cruz Doblas, J.. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina
Fil: Gomez, M. J.. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina
Fil: Montoya, Gerardo Federico. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina - Materia
-
Critical Lines
High Pressure Phase Behavior
Hydrocarbons
Interaction Parameters Correlation
Rkpr - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/43792
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oai:ri.conicet.gov.ar:11336/43792 |
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spelling |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOSCismondi Duarte, MartínCruz Doblas, J.Gomez, M. J.Montoya, Gerardo FedericoCritical LinesHigh Pressure Phase BehaviorHydrocarbonsInteraction Parameters CorrelationRkprhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2After showing in a previous publication a clear superiority to the classic Peng-Robinson EoS for the description of high pressure phase behavior in the more asymmetric alkane-alkane binary mixtures, in this work the RKPR EoS is turned into a predictive model by developing correlations of interaction parameters for all possible pairs or normal alkanes, associated also to a new parameterization of pure compounds. The proposed correlations are based on van der Waals quadratic mixing rules. Repulsive interaction lij parameters are implemented in all cases, while attractive kij interactions were necessary only for the methane-series and the more asymmetric systems of propane, in particular with carbon numbers higher than 24. The analysis of the results, in comparison to an important diversity of data available for several dozens of systems, demonstrates a very good predictive power for the new correlations, which could be useful in modeling the phase behavior of different hydrocarbon fluids.Fil: Cismondi Duarte, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina. Universidad Nacional de Córdoba. Incubadora de Empresas; ArgentinaFil: Cruz Doblas, J.. Universidad Nacional de Córdoba. Incubadora de Empresas; ArgentinaFil: Gomez, M. J.. Universidad Nacional de Córdoba. Incubadora de Empresas; ArgentinaFil: Montoya, Gerardo Federico. Universidad Nacional de Córdoba. Incubadora de Empresas; ArgentinaElsevier Science2015-10-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/43792Cismondi Duarte, Martín; Cruz Doblas, J.; Gomez, M. J.; Montoya, Gerardo Federico; Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS; Elsevier Science; Fluid Phase Equilibria; 403; 15-10-2015; 49-590378-3812CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.fluid.2015.06.005info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378381215003246?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:43Zoai:ri.conicet.gov.ar:11336/43792instacron: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 10:32:44.074CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
title |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
spellingShingle |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS Cismondi Duarte, Martín Critical Lines High Pressure Phase Behavior Hydrocarbons Interaction Parameters Correlation Rkpr |
title_short |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
title_full |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
title_fullStr |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
title_full_unstemmed |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
title_sort |
Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS |
dc.creator.none.fl_str_mv |
Cismondi Duarte, Martín Cruz Doblas, J. Gomez, M. J. Montoya, Gerardo Federico |
author |
Cismondi Duarte, Martín |
author_facet |
Cismondi Duarte, Martín Cruz Doblas, J. Gomez, M. J. Montoya, Gerardo Federico |
author_role |
author |
author2 |
Cruz Doblas, J. Gomez, M. J. Montoya, Gerardo Federico |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Critical Lines High Pressure Phase Behavior Hydrocarbons Interaction Parameters Correlation Rkpr |
topic |
Critical Lines High Pressure Phase Behavior Hydrocarbons Interaction Parameters Correlation Rkpr |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
After showing in a previous publication a clear superiority to the classic Peng-Robinson EoS for the description of high pressure phase behavior in the more asymmetric alkane-alkane binary mixtures, in this work the RKPR EoS is turned into a predictive model by developing correlations of interaction parameters for all possible pairs or normal alkanes, associated also to a new parameterization of pure compounds. The proposed correlations are based on van der Waals quadratic mixing rules. Repulsive interaction lij parameters are implemented in all cases, while attractive kij interactions were necessary only for the methane-series and the more asymmetric systems of propane, in particular with carbon numbers higher than 24. The analysis of the results, in comparison to an important diversity of data available for several dozens of systems, demonstrates a very good predictive power for the new correlations, which could be useful in modeling the phase behavior of different hydrocarbon fluids. Fil: Cismondi Duarte, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina Fil: Cruz Doblas, J.. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina Fil: Gomez, M. J.. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina Fil: Montoya, Gerardo Federico. Universidad Nacional de Córdoba. Incubadora de Empresas; Argentina |
description |
After showing in a previous publication a clear superiority to the classic Peng-Robinson EoS for the description of high pressure phase behavior in the more asymmetric alkane-alkane binary mixtures, in this work the RKPR EoS is turned into a predictive model by developing correlations of interaction parameters for all possible pairs or normal alkanes, associated also to a new parameterization of pure compounds. The proposed correlations are based on van der Waals quadratic mixing rules. Repulsive interaction lij parameters are implemented in all cases, while attractive kij interactions were necessary only for the methane-series and the more asymmetric systems of propane, in particular with carbon numbers higher than 24. The analysis of the results, in comparison to an important diversity of data available for several dozens of systems, demonstrates a very good predictive power for the new correlations, which could be useful in modeling the phase behavior of different hydrocarbon fluids. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-15 |
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/11336/43792 Cismondi Duarte, Martín; Cruz Doblas, J.; Gomez, M. J.; Montoya, Gerardo Federico; Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS; Elsevier Science; Fluid Phase Equilibria; 403; 15-10-2015; 49-59 0378-3812 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/43792 |
identifier_str_mv |
Cismondi Duarte, Martín; Cruz Doblas, J.; Gomez, M. J.; Montoya, Gerardo Federico; Modelling the phase behavior of alkane mixtures in wide ranges of conditions: New parameterization and predictive correlations of binary interactions for the RKPR EOS; Elsevier Science; Fluid Phase Equilibria; 403; 15-10-2015; 49-59 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.2015.06.005 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378381215003246?via%3Dihub |
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 |
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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1844614341425364992 |
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13.070432 |