Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach
- Autores
- Francesconi, Javier Andres; Oliva, Diego Gabriel; Aguirre, Pio Antonio
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work addresses the optimal design of a flexible heat exchanger network using model-based optimization, applied to hydrogen production by means of an ethanol steam reforming process. High efficiencies are obtained at different hydrogen production levels ranging from 25 to 100% of a nominal output. System structure, heat exchanger sizing, and operation conditions are simultaneously settled, ensuring both operational feasibility and optimality. The system involves a reforming reactor, vaporization and reheating equipment, combustors, and a heat exchanger network system. A multi-period nonlinear optimization problem (NLP) was formulated to account for the production level distribution. Equipment sizing constraints and structural constraints link the different scenarios. The trade-off between area and efficiency is analyzed using a multi-objective epsilon-constraint approach. Models were developed in the GAMS environment. The resulting solutions, for the maximum area case, maintain alcohol combustion at low levels showing efficiencies around 63% in each operational level. Pareto Optimal diagram shows that a 1% reduction of efficiency allows a 50% decrease in total required heat exchanger area by 50%.
Fil: Francesconi, Javier Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento. Instituto de Industria; Argentina
Fil: Oliva, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Universidad Nacional del Litoral. Facultad de Bioquimica y Ciencias Biologicas. Departamento de Matematicas; Argentina - Materia
-
Ethanol Processor
Energy Efficiency
Flexible Heat Exchanger Network
Hydrogen - 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:11336/46980
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Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approachFrancesconi, Javier AndresOliva, Diego GabrielAguirre, Pio AntonioEthanol ProcessorEnergy EfficiencyFlexible Heat Exchanger NetworkHydrogenhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This work addresses the optimal design of a flexible heat exchanger network using model-based optimization, applied to hydrogen production by means of an ethanol steam reforming process. High efficiencies are obtained at different hydrogen production levels ranging from 25 to 100% of a nominal output. System structure, heat exchanger sizing, and operation conditions are simultaneously settled, ensuring both operational feasibility and optimality. The system involves a reforming reactor, vaporization and reheating equipment, combustors, and a heat exchanger network system. A multi-period nonlinear optimization problem (NLP) was formulated to account for the production level distribution. Equipment sizing constraints and structural constraints link the different scenarios. The trade-off between area and efficiency is analyzed using a multi-objective epsilon-constraint approach. Models were developed in the GAMS environment. The resulting solutions, for the maximum area case, maintain alcohol combustion at low levels showing efficiencies around 63% in each operational level. Pareto Optimal diagram shows that a 1% reduction of efficiency allows a 50% decrease in total required heat exchanger area by 50%.Fil: Francesconi, Javier Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento. Instituto de Industria; ArgentinaFil: Oliva, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Aguirre, Pio Antonio. Universidad Nacional del Litoral. Facultad de Bioquimica y Ciencias Biologicas. Departamento de Matematicas; ArgentinaPergamon-Elsevier Science Ltd2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/46980Francesconi, Javier Andres; Oliva, Diego Gabriel; Aguirre, Pio Antonio; Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach; Pergamon-Elsevier Science Ltd; International Journal of Hydrogen Energy; 42; 5; 12-2016; 2736-27470360-3199CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhydene.2016.10.156info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0360319916332487info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:05Zoai:ri.conicet.gov.ar:11336/46980instacron: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:34982025-09-03 09:44:05.406CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
title |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
spellingShingle |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach Francesconi, Javier Andres Ethanol Processor Energy Efficiency Flexible Heat Exchanger Network Hydrogen |
title_short |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
title_full |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
title_fullStr |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
title_full_unstemmed |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
title_sort |
Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach |
dc.creator.none.fl_str_mv |
Francesconi, Javier Andres Oliva, Diego Gabriel Aguirre, Pio Antonio |
author |
Francesconi, Javier Andres |
author_facet |
Francesconi, Javier Andres Oliva, Diego Gabriel Aguirre, Pio Antonio |
author_role |
author |
author2 |
Oliva, Diego Gabriel Aguirre, Pio Antonio |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ethanol Processor Energy Efficiency Flexible Heat Exchanger Network Hydrogen |
topic |
Ethanol Processor Energy Efficiency Flexible Heat Exchanger Network Hydrogen |
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 work addresses the optimal design of a flexible heat exchanger network using model-based optimization, applied to hydrogen production by means of an ethanol steam reforming process. High efficiencies are obtained at different hydrogen production levels ranging from 25 to 100% of a nominal output. System structure, heat exchanger sizing, and operation conditions are simultaneously settled, ensuring both operational feasibility and optimality. The system involves a reforming reactor, vaporization and reheating equipment, combustors, and a heat exchanger network system. A multi-period nonlinear optimization problem (NLP) was formulated to account for the production level distribution. Equipment sizing constraints and structural constraints link the different scenarios. The trade-off between area and efficiency is analyzed using a multi-objective epsilon-constraint approach. Models were developed in the GAMS environment. The resulting solutions, for the maximum area case, maintain alcohol combustion at low levels showing efficiencies around 63% in each operational level. Pareto Optimal diagram shows that a 1% reduction of efficiency allows a 50% decrease in total required heat exchanger area by 50%. Fil: Francesconi, Javier Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de General Sarmiento. Instituto de Industria; Argentina Fil: Oliva, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina Fil: Aguirre, Pio Antonio. Universidad Nacional del Litoral. Facultad de Bioquimica y Ciencias Biologicas. Departamento de Matematicas; Argentina |
description |
This work addresses the optimal design of a flexible heat exchanger network using model-based optimization, applied to hydrogen production by means of an ethanol steam reforming process. High efficiencies are obtained at different hydrogen production levels ranging from 25 to 100% of a nominal output. System structure, heat exchanger sizing, and operation conditions are simultaneously settled, ensuring both operational feasibility and optimality. The system involves a reforming reactor, vaporization and reheating equipment, combustors, and a heat exchanger network system. A multi-period nonlinear optimization problem (NLP) was formulated to account for the production level distribution. Equipment sizing constraints and structural constraints link the different scenarios. The trade-off between area and efficiency is analyzed using a multi-objective epsilon-constraint approach. Models were developed in the GAMS environment. The resulting solutions, for the maximum area case, maintain alcohol combustion at low levels showing efficiencies around 63% in each operational level. Pareto Optimal diagram shows that a 1% reduction of efficiency allows a 50% decrease in total required heat exchanger area by 50%. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12 |
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/11336/46980 Francesconi, Javier Andres; Oliva, Diego Gabriel; Aguirre, Pio Antonio; Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach; Pergamon-Elsevier Science Ltd; International Journal of Hydrogen Energy; 42; 5; 12-2016; 2736-2747 0360-3199 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/46980 |
identifier_str_mv |
Francesconi, Javier Andres; Oliva, Diego Gabriel; Aguirre, Pio Antonio; Flexible heat exchanger network design of an ethanol processor for hydrogen production. A model-based multi-objective optimization approach; Pergamon-Elsevier Science Ltd; International Journal of Hydrogen Energy; 42; 5; 12-2016; 2736-2747 0360-3199 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.ijhydene.2016.10.156 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0360319916332487 |
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 |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
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 |
_version_ |
1842268644419043328 |
score |
13.13397 |