Optimal design of a two-stage membrane system for hydrogen separation in refining processes.

Autores
Arias, Ana Marisa; Mores, Patricia Liliana; Scenna, Nicolás José; Caballero, José Antonio; Mussati, Sergio Fabián; Mussati, Miguel Ceferino
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
This paper fits into the process system engineering field by addressing the optimization of a two-stage membrane system for H2 separation in refinery processes. To this end, a nonlinear mathematical programming (NLP) model is developed to simultaneously optimize the size of each membrane stage (membrane area, heat transfer area, and installed power for compressors and vacuum pumps) and operating conditions (flow rates, pressures, temperatures, and compositions) to achieve desired target levels of H2 product purity and H2 recovery at a minimum total annual cost. Optimal configuration and process design are obtained from a model which embeds different operating modes and process configurations. For instance, the following candidate ways to create the driving force across the membrane are embedded: (a) compression of both feed and/or permeate streams, or (b) vacuum application in permeate streams, or (c) a combination of (a) and (b). In addition, the potential selection of an expansion turbine to recover energy from the retentate stream (energy recovery system) is also embedded. For a H2 product purity of 0.90 and H2 recovery of 90%, a minimum total annual cost of 1.764 M$·year−1 was obtained for treating 100 kmol·h−1 with 0.18, 0.16, 0.62, and 0.04 mole fraction of H2, CO, N2, CO2, respectively. The optimal solution selected a combination of compression and vacuum to create the driving force and removed the expansion turbine. Afterwards, this optimal solution was compared in terms of costs, process-unit sizes, and operating conditions to the following two suboptimal solutions: (i) no vacuum in permeate stream is applied, and (ii) the expansion turbine is included into the process. The comparison showed that the latter (ii) has the highest total annual cost (TAC) value, which is around 7% higher than the former (i) and 24% higher than the found optimal solution. Finally, a sensitivity analysis to investigate the influence of the desired H2 product purity and H2 recovery is presented. Opposite cost-based trade-offs between total membrane area and total electric power were observed with the variations of these two model parameters. This paper contributes a valuable decision support tool in the process system engineering field for designing, simulating, and optimizing membranebased systems for H2 separation in a particular industrial case; and the presented optimization resultsprovide useful guidelines to assist in selecting the optimal configuration and operating mode.
Universidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Fil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Arias, Ana Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Scenna, Nicolás José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Caballero, José Antonio. University of Alicante. Department of Chemical Engineering ; España.
Fil: Mussati, Sergio Fabián. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Fil: Mussati, Miguel Ceferino. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Peer Reviewed
Fuente
Processes, 6(11), Article 11
Materia
Hidrógeno
Proceso de separación
NLP
GAMS
Ingeniería química
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-04-03T17:29:56Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/10256
Acceder
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network_acronym_str RIAUTN
repository_id_str a
network_name_str Repositorio Institucional Abierto (UTN)
spelling Optimal design of a two-stage membrane system for hydrogen separation in refining processes.Arias, Ana MarisaMores, Patricia LilianaScenna, Nicolás JoséCaballero, José AntonioMussati, Sergio FabiánMussati, Miguel CeferinoHidrógenoProceso de separaciónNLPGAMSIngeniería químicaThis paper fits into the process system engineering field by addressing the optimization of a two-stage membrane system for H2 separation in refinery processes. To this end, a nonlinear mathematical programming (NLP) model is developed to simultaneously optimize the size of each membrane stage (membrane area, heat transfer area, and installed power for compressors and vacuum pumps) and operating conditions (flow rates, pressures, temperatures, and compositions) to achieve desired target levels of H2 product purity and H2 recovery at a minimum total annual cost. Optimal configuration and process design are obtained from a model which embeds different operating modes and process configurations. For instance, the following candidate ways to create the driving force across the membrane are embedded: (a) compression of both feed and/or permeate streams, or (b) vacuum application in permeate streams, or (c) a combination of (a) and (b). In addition, the potential selection of an expansion turbine to recover energy from the retentate stream (energy recovery system) is also embedded. For a H2 product purity of 0.90 and H2 recovery of 90%, a minimum total annual cost of 1.764 M$·year−1 was obtained for treating 100 kmol·h−1 with 0.18, 0.16, 0.62, and 0.04 mole fraction of H2, CO, N2, CO2, respectively. The optimal solution selected a combination of compression and vacuum to create the driving force and removed the expansion turbine. Afterwards, this optimal solution was compared in terms of costs, process-unit sizes, and operating conditions to the following two suboptimal solutions: (i) no vacuum in permeate stream is applied, and (ii) the expansion turbine is included into the process. The comparison showed that the latter (ii) has the highest total annual cost (TAC) value, which is around 7% higher than the former (i) and 24% higher than the found optimal solution. Finally, a sensitivity analysis to investigate the influence of the desired H2 product purity and H2 recovery is presented. Opposite cost-based trade-offs between total membrane area and total electric power were observed with the variations of these two model parameters. This paper contributes a valuable decision support tool in the process system engineering field for designing, simulating, and optimizing membranebased systems for H2 separation in a particular industrial case; and the presented optimization resultsprovide useful guidelines to assist in selecting the optimal configuration and operating mode.Universidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Fil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Arias, Ana Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Scenna, Nicolás José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.Fil: Caballero, José Antonio. University of Alicante. Department of Chemical Engineering ; España.Fil: Mussati, Sergio Fabián. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.Fil: Mussati, Miguel Ceferino. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.Peer Reviewed2024-04-03T17:29:56Z2024-04-03T17:29:56Z2018-10-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdf. Processes, 6(11), Article 112227-9717http://hdl.handle.net/20.500.12272/10256https://doi.org/10.3390/pr6110208Processes, 6(11), Article 11reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacionalenginfo:eu-repo/semantics/openAccess2024-04-03T17:29:56Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalAcceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.2026-09-24T12:44:30Zoai:ria.utn.edu.ar:20.500.12272/10256instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:44:31.475Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
title Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
spellingShingle Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
Arias, Ana Marisa
Hidrógeno
Proceso de separación
NLP
GAMS
Ingeniería química
title_short Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
title_full Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
title_fullStr Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
title_full_unstemmed Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
title_sort Optimal design of a two-stage membrane system for hydrogen separation in refining processes.
dc.creator.none.fl_str_mv Arias, Ana Marisa
Mores, Patricia Liliana
Scenna, Nicolás José
Caballero, José Antonio
Mussati, Sergio Fabián
Mussati, Miguel Ceferino
author Arias, Ana Marisa
author_facet Arias, Ana Marisa
Mores, Patricia Liliana
Scenna, Nicolás José
Caballero, José Antonio
Mussati, Sergio Fabián
Mussati, Miguel Ceferino
author_role author
author2 Mores, Patricia Liliana
Scenna, Nicolás José
Caballero, José Antonio
Mussati, Sergio Fabián
Mussati, Miguel Ceferino
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Hidrógeno
Proceso de separación
NLP
GAMS
Ingeniería química
topic Hidrógeno
Proceso de separación
NLP
GAMS
Ingeniería química
dc.description.none.fl_txt_mv This paper fits into the process system engineering field by addressing the optimization of a two-stage membrane system for H2 separation in refinery processes. To this end, a nonlinear mathematical programming (NLP) model is developed to simultaneously optimize the size of each membrane stage (membrane area, heat transfer area, and installed power for compressors and vacuum pumps) and operating conditions (flow rates, pressures, temperatures, and compositions) to achieve desired target levels of H2 product purity and H2 recovery at a minimum total annual cost. Optimal configuration and process design are obtained from a model which embeds different operating modes and process configurations. For instance, the following candidate ways to create the driving force across the membrane are embedded: (a) compression of both feed and/or permeate streams, or (b) vacuum application in permeate streams, or (c) a combination of (a) and (b). In addition, the potential selection of an expansion turbine to recover energy from the retentate stream (energy recovery system) is also embedded. For a H2 product purity of 0.90 and H2 recovery of 90%, a minimum total annual cost of 1.764 M$·year−1 was obtained for treating 100 kmol·h−1 with 0.18, 0.16, 0.62, and 0.04 mole fraction of H2, CO, N2, CO2, respectively. The optimal solution selected a combination of compression and vacuum to create the driving force and removed the expansion turbine. Afterwards, this optimal solution was compared in terms of costs, process-unit sizes, and operating conditions to the following two suboptimal solutions: (i) no vacuum in permeate stream is applied, and (ii) the expansion turbine is included into the process. The comparison showed that the latter (ii) has the highest total annual cost (TAC) value, which is around 7% higher than the former (i) and 24% higher than the found optimal solution. Finally, a sensitivity analysis to investigate the influence of the desired H2 product purity and H2 recovery is presented. Opposite cost-based trade-offs between total membrane area and total electric power were observed with the variations of these two model parameters. This paper contributes a valuable decision support tool in the process system engineering field for designing, simulating, and optimizing membranebased systems for H2 separation in a particular industrial case; and the presented optimization resultsprovide useful guidelines to assist in selecting the optimal configuration and operating mode.
Universidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Fil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Arias, Ana Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Mores, Patricia Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Scenna, Nicolás José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.
Fil: Caballero, José Antonio. University of Alicante. Department of Chemical Engineering ; España.
Fil: Mussati, Sergio Fabián. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Fil: Mussati, Miguel Ceferino. Consejo Nacional de investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Peer Reviewed
description This paper fits into the process system engineering field by addressing the optimization of a two-stage membrane system for H2 separation in refinery processes. To this end, a nonlinear mathematical programming (NLP) model is developed to simultaneously optimize the size of each membrane stage (membrane area, heat transfer area, and installed power for compressors and vacuum pumps) and operating conditions (flow rates, pressures, temperatures, and compositions) to achieve desired target levels of H2 product purity and H2 recovery at a minimum total annual cost. Optimal configuration and process design are obtained from a model which embeds different operating modes and process configurations. For instance, the following candidate ways to create the driving force across the membrane are embedded: (a) compression of both feed and/or permeate streams, or (b) vacuum application in permeate streams, or (c) a combination of (a) and (b). In addition, the potential selection of an expansion turbine to recover energy from the retentate stream (energy recovery system) is also embedded. For a H2 product purity of 0.90 and H2 recovery of 90%, a minimum total annual cost of 1.764 M$·year−1 was obtained for treating 100 kmol·h−1 with 0.18, 0.16, 0.62, and 0.04 mole fraction of H2, CO, N2, CO2, respectively. The optimal solution selected a combination of compression and vacuum to create the driving force and removed the expansion turbine. Afterwards, this optimal solution was compared in terms of costs, process-unit sizes, and operating conditions to the following two suboptimal solutions: (i) no vacuum in permeate stream is applied, and (ii) the expansion turbine is included into the process. The comparison showed that the latter (ii) has the highest total annual cost (TAC) value, which is around 7% higher than the former (i) and 24% higher than the found optimal solution. Finally, a sensitivity analysis to investigate the influence of the desired H2 product purity and H2 recovery is presented. Opposite cost-based trade-offs between total membrane area and total electric power were observed with the variations of these two model parameters. This paper contributes a valuable decision support tool in the process system engineering field for designing, simulating, and optimizing membranebased systems for H2 separation in a particular industrial case; and the presented optimization resultsprovide useful guidelines to assist in selecting the optimal configuration and operating mode.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-31
2024-04-03T17:29:56Z
2024-04-03T17:29:56Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv . Processes, 6(11), Article 11
2227-9717
http://hdl.handle.net/20.500.12272/10256
https://doi.org/10.3390/pr6110208
identifier_str_mv . Processes, 6(11), Article 11
2227-9717
url http://hdl.handle.net/20.500.12272/10256
https://doi.org/10.3390/pr6110208
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-04-03T17:29:56Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Acceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-04-03T17:29:56Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Acceso abierto, con fines de estudio e investigación. Siempre con la mención de los autores.
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv Processes, 6(11), Article 11
reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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