A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use

Autores
Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Grossmann, Ignacio E.
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this article, we address the design of hydrogen supply chains for vehicle use with economic and environmental concerns. Given a set of available technologies to produce, store, and deliver hydrogen, the problem consists of determining the optimal design of the production-distribution network capable of satisfying a predefined hydrogen demand. The design task is formulated as a bi-criterion mixed-integer linear programming (MILP) problem, which simultaneously accounts for the minimization of cost and environmental impact. The environmental impact is measured through the contribution to climate change made by the hydrogen network operation. The emissions considered in the analysis are those associated with the entire life cycle of the process, and are quantified according to the principles of Life Cycle Assessment (LCA). To expedite the search of the Pareto solutions of the problem, we introduce a bi-level algorithm that exploits its specific structure. A case study that addresses the optimal design of the hydrogen infrastructure needed to fulfill the expected hydrogen demand in Great Britain is introduced to illustrate the capabilities of the proposed approach. © 2009 American Institute of Chemical Engineers.
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; España
Fil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina
Fil: Grossmann, Ignacio E.. Carnegie Mellon University; Estados Unidos
Materia
Hydrogen
Life Cycle Assessment
Optimization
Supply Chain Management
Sustainability
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:11336/72479
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle useGuillén Gosálbez, GonzaloMele, Fernando DanielGrossmann, Ignacio E.HydrogenLife Cycle AssessmentOptimizationSupply Chain ManagementSustainabilityhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this article, we address the design of hydrogen supply chains for vehicle use with economic and environmental concerns. Given a set of available technologies to produce, store, and deliver hydrogen, the problem consists of determining the optimal design of the production-distribution network capable of satisfying a predefined hydrogen demand. The design task is formulated as a bi-criterion mixed-integer linear programming (MILP) problem, which simultaneously accounts for the minimization of cost and environmental impact. The environmental impact is measured through the contribution to climate change made by the hydrogen network operation. The emissions considered in the analysis are those associated with the entire life cycle of the process, and are quantified according to the principles of Life Cycle Assessment (LCA). To expedite the search of the Pareto solutions of the problem, we introduce a bi-level algorithm that exploits its specific structure. A case study that addresses the optimal design of the hydrogen infrastructure needed to fulfill the expected hydrogen demand in Great Britain is introduced to illustrate the capabilities of the proposed approach. © 2009 American Institute of Chemical Engineers.Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; EspañaFil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; ArgentinaFil: Grossmann, Ignacio E.. Carnegie Mellon University; Estados UnidosJohn Wiley & Sons Inc2010-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/72479Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Grossmann, Ignacio E.; A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use; John Wiley & Sons Inc; Aiche Journal; 56; 3; 3-2010; 650-6670001-1541CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/aic.12024info:eu-repo/semantics/altIdentifier/doi/10.1002/aic.12024info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:23Zoai:ri.conicet.gov.ar:11336/72479instacron: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 09:34:23.893CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
title A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
spellingShingle A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
Guillén Gosálbez, Gonzalo
Hydrogen
Life Cycle Assessment
Optimization
Supply Chain Management
Sustainability
title_short A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
title_full A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
title_fullStr A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
title_full_unstemmed A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
title_sort A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
dc.creator.none.fl_str_mv Guillén Gosálbez, Gonzalo
Mele, Fernando Daniel
Grossmann, Ignacio E.
author Guillén Gosálbez, Gonzalo
author_facet Guillén Gosálbez, Gonzalo
Mele, Fernando Daniel
Grossmann, Ignacio E.
author_role author
author2 Mele, Fernando Daniel
Grossmann, Ignacio E.
author2_role author
author
dc.subject.none.fl_str_mv Hydrogen
Life Cycle Assessment
Optimization
Supply Chain Management
Sustainability
topic Hydrogen
Life Cycle Assessment
Optimization
Supply Chain Management
Sustainability
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this article, we address the design of hydrogen supply chains for vehicle use with economic and environmental concerns. Given a set of available technologies to produce, store, and deliver hydrogen, the problem consists of determining the optimal design of the production-distribution network capable of satisfying a predefined hydrogen demand. The design task is formulated as a bi-criterion mixed-integer linear programming (MILP) problem, which simultaneously accounts for the minimization of cost and environmental impact. The environmental impact is measured through the contribution to climate change made by the hydrogen network operation. The emissions considered in the analysis are those associated with the entire life cycle of the process, and are quantified according to the principles of Life Cycle Assessment (LCA). To expedite the search of the Pareto solutions of the problem, we introduce a bi-level algorithm that exploits its specific structure. A case study that addresses the optimal design of the hydrogen infrastructure needed to fulfill the expected hydrogen demand in Great Britain is introduced to illustrate the capabilities of the proposed approach. © 2009 American Institute of Chemical Engineers.
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; España
Fil: Mele, Fernando Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Ingeniería en Procesos y Gestión Industrial; Argentina
Fil: Grossmann, Ignacio E.. Carnegie Mellon University; Estados Unidos
description In this article, we address the design of hydrogen supply chains for vehicle use with economic and environmental concerns. Given a set of available technologies to produce, store, and deliver hydrogen, the problem consists of determining the optimal design of the production-distribution network capable of satisfying a predefined hydrogen demand. The design task is formulated as a bi-criterion mixed-integer linear programming (MILP) problem, which simultaneously accounts for the minimization of cost and environmental impact. The environmental impact is measured through the contribution to climate change made by the hydrogen network operation. The emissions considered in the analysis are those associated with the entire life cycle of the process, and are quantified according to the principles of Life Cycle Assessment (LCA). To expedite the search of the Pareto solutions of the problem, we introduce a bi-level algorithm that exploits its specific structure. A case study that addresses the optimal design of the hydrogen infrastructure needed to fulfill the expected hydrogen demand in Great Britain is introduced to illustrate the capabilities of the proposed approach. © 2009 American Institute of Chemical Engineers.
publishDate 2010
dc.date.none.fl_str_mv 2010-03
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/11336/72479
Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Grossmann, Ignacio E.; A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use; John Wiley & Sons Inc; Aiche Journal; 56; 3; 3-2010; 650-667
0001-1541
CONICET Digital
CONICET
url http://hdl.handle.net/11336/72479
identifier_str_mv Guillén Gosálbez, Gonzalo; Mele, Fernando Daniel; Grossmann, Ignacio E.; A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use; John Wiley & Sons Inc; Aiche Journal; 56; 3; 3-2010; 650-667
0001-1541
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/aic.12024
info:eu-repo/semantics/altIdentifier/doi/10.1002/aic.12024
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 John Wiley & Sons Inc
publisher.none.fl_str_mv John Wiley & Sons Inc
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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