Optimization Model for Refinery Hydrogen Networks Part I

Autores
Tarifa, Enrique Eduardo; Vera, Carlos Roman; Domínguez, Samuel Franco; Benitez, Leonel Alberto
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Petroleum refineries have many process units that consume hydrogen.These process units are distributed in different places everywhere in the refinery.In order to feed them, it is necessary to have sources capable of supplying, in amount and quality, the hydrogen that every consuming unit needs.It is also needed to have a distribution network that it is correctly designed and which operation is adjusted in an optimal manner to the changing conditions of the refinery.This involves the minimization of the cost of installation and operation of the hydrogen network.The installation cost is dominated by the amount of pipelines, compressors and purifying units; while the cost of operation is dominated by the amount of fresh hydrogen that the plant consumes.In this work a mathematical model is developed for a hydrogen network,which is adapted to the different information levels available in the different stages of design of that system.The model is currently in use in the YPF Luján de Cuyo refinery (Mendoza, Argentina). In this first part, the basic model is presented; whereas in a second part, the model is enlarged to accommodate the incorporation of purifying units and new compressors.
Fil: Tarifa, Enrique Eduardo. Universidad Nacional de Jujuy; Argentina
Fil: Vera, Carlos Roman. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica ; Argentina
Fil: Domínguez, Samuel Franco. Universidad Nacional de Jujuy; Argentina
Fil: Benitez, Leonel Alberto. Universidad Nacional de Salta; Argentina
Materia
optimization
hydrogen network
refinery
LINGO
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:11336/46946
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Optimization Model for Refinery Hydrogen Networks Part ITarifa, Enrique EduardoVera, Carlos RomanDomínguez, Samuel FrancoBenitez, Leonel Albertooptimizationhydrogen networkrefineryLINGOhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Petroleum refineries have many process units that consume hydrogen.These process units are distributed in different places everywhere in the refinery.In order to feed them, it is necessary to have sources capable of supplying, in amount and quality, the hydrogen that every consuming unit needs.It is also needed to have a distribution network that it is correctly designed and which operation is adjusted in an optimal manner to the changing conditions of the refinery.This involves the minimization of the cost of installation and operation of the hydrogen network.The installation cost is dominated by the amount of pipelines, compressors and purifying units; while the cost of operation is dominated by the amount of fresh hydrogen that the plant consumes.In this work a mathematical model is developed for a hydrogen network,which is adapted to the different information levels available in the different stages of design of that system.The model is currently in use in the YPF Luján de Cuyo refinery (Mendoza, Argentina). In this first part, the basic model is presented; whereas in a second part, the model is enlarged to accommodate the incorporation of purifying units and new compressors.Fil: Tarifa, Enrique Eduardo. Universidad Nacional de Jujuy; ArgentinaFil: Vera, Carlos Roman. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica ; ArgentinaFil: Domínguez, Samuel Franco. Universidad Nacional de Jujuy; ArgentinaFil: Benitez, Leonel Alberto. Universidad Nacional de Salta; ArgentinaIJERA2016-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/46946Tarifa, Enrique Eduardo; Vera, Carlos Roman; Domínguez, Samuel Franco; Benitez, Leonel Alberto; Optimization Model for Refinery Hydrogen Networks Part I; IJERA; International Journal of Engineering Research and Application; 6; 10; 10-2016; 84-882248-9622CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/www.ijera.com/papers/Vol6_issue10/Part-2/K0610028488.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:32Zoai:ri.conicet.gov.ar:11336/46946instacron: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 09:38:32.457CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimization Model for Refinery Hydrogen Networks Part I
title Optimization Model for Refinery Hydrogen Networks Part I
spellingShingle Optimization Model for Refinery Hydrogen Networks Part I
Tarifa, Enrique Eduardo
optimization
hydrogen network
refinery
LINGO
title_short Optimization Model for Refinery Hydrogen Networks Part I
title_full Optimization Model for Refinery Hydrogen Networks Part I
title_fullStr Optimization Model for Refinery Hydrogen Networks Part I
title_full_unstemmed Optimization Model for Refinery Hydrogen Networks Part I
title_sort Optimization Model for Refinery Hydrogen Networks Part I
dc.creator.none.fl_str_mv Tarifa, Enrique Eduardo
Vera, Carlos Roman
Domínguez, Samuel Franco
Benitez, Leonel Alberto
author Tarifa, Enrique Eduardo
author_facet Tarifa, Enrique Eduardo
Vera, Carlos Roman
Domínguez, Samuel Franco
Benitez, Leonel Alberto
author_role author
author2 Vera, Carlos Roman
Domínguez, Samuel Franco
Benitez, Leonel Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv optimization
hydrogen network
refinery
LINGO
topic optimization
hydrogen network
refinery
LINGO
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Petroleum refineries have many process units that consume hydrogen.These process units are distributed in different places everywhere in the refinery.In order to feed them, it is necessary to have sources capable of supplying, in amount and quality, the hydrogen that every consuming unit needs.It is also needed to have a distribution network that it is correctly designed and which operation is adjusted in an optimal manner to the changing conditions of the refinery.This involves the minimization of the cost of installation and operation of the hydrogen network.The installation cost is dominated by the amount of pipelines, compressors and purifying units; while the cost of operation is dominated by the amount of fresh hydrogen that the plant consumes.In this work a mathematical model is developed for a hydrogen network,which is adapted to the different information levels available in the different stages of design of that system.The model is currently in use in the YPF Luján de Cuyo refinery (Mendoza, Argentina). In this first part, the basic model is presented; whereas in a second part, the model is enlarged to accommodate the incorporation of purifying units and new compressors.
Fil: Tarifa, Enrique Eduardo. Universidad Nacional de Jujuy; Argentina
Fil: Vera, Carlos Roman. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica ; Argentina
Fil: Domínguez, Samuel Franco. Universidad Nacional de Jujuy; Argentina
Fil: Benitez, Leonel Alberto. Universidad Nacional de Salta; Argentina
description Petroleum refineries have many process units that consume hydrogen.These process units are distributed in different places everywhere in the refinery.In order to feed them, it is necessary to have sources capable of supplying, in amount and quality, the hydrogen that every consuming unit needs.It is also needed to have a distribution network that it is correctly designed and which operation is adjusted in an optimal manner to the changing conditions of the refinery.This involves the minimization of the cost of installation and operation of the hydrogen network.The installation cost is dominated by the amount of pipelines, compressors and purifying units; while the cost of operation is dominated by the amount of fresh hydrogen that the plant consumes.In this work a mathematical model is developed for a hydrogen network,which is adapted to the different information levels available in the different stages of design of that system.The model is currently in use in the YPF Luján de Cuyo refinery (Mendoza, Argentina). In this first part, the basic model is presented; whereas in a second part, the model is enlarged to accommodate the incorporation of purifying units and new compressors.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
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/11336/46946
Tarifa, Enrique Eduardo; Vera, Carlos Roman; Domínguez, Samuel Franco; Benitez, Leonel Alberto; Optimization Model for Refinery Hydrogen Networks Part I; IJERA; International Journal of Engineering Research and Application; 6; 10; 10-2016; 84-88
2248-9622
CONICET Digital
CONICET
url http://hdl.handle.net/11336/46946
identifier_str_mv Tarifa, Enrique Eduardo; Vera, Carlos Roman; Domínguez, Samuel Franco; Benitez, Leonel Alberto; Optimization Model for Refinery Hydrogen Networks Part I; IJERA; International Journal of Engineering Research and Application; 6; 10; 10-2016; 84-88
2248-9622
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/www.ijera.com/papers/Vol6_issue10/Part-2/K0610028488.pdf
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 IJERA
publisher.none.fl_str_mv IJERA
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 13.069144

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