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dc.contributor.author
Guillén Gosálbez, Gonzalo
dc.contributor.author
Mele, Fernando Daniel
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dc.contributor.author
Grossmann, Ignacio E.
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dc.date.available
2019-03-25T20:54:47Z
dc.date.issued
2010-03
dc.identifier.citation
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
dc.identifier.issn
0001-1541
dc.identifier.uri
http://hdl.handle.net/11336/72479
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Inc
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Hydrogen
dc.subject
Life Cycle Assessment
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Optimization
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Supply Chain Management
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Sustainability
dc.subject.classification
Otras Ingeniería Química
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dc.subject.classification
Ingeniería Química
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
A bi-criterion optimization approach for the design and planning of hydrogen supply chains for vehicle use
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-03-21T16:10:04Z
dc.journal.volume
56
dc.journal.number
3
dc.journal.pagination
650-667
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Hoboken
dc.description.fil
Fil: Guillén Gosálbez, Gonzalo. Universitat Rovira I Virgili; España
dc.description.fil
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
dc.description.fil
Fil: Grossmann, Ignacio E.. Carnegie Mellon University; Estados Unidos
dc.journal.title
Aiche Journal
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/aic.12024
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1002/aic.12024
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