Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks

Autores
Rodriguez, D. A; Brignole, N. B; Oteiza, Paola P.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión enviada
Descripción
In this work the determination of optimally located pipeline networks has been proposed by means of the implementation of a metaheuristic algorithm called Simulated Annealing with GAMS (SAG) in order to find the best pipeline layout together with a subset of locations to install concentrating nodes. The strategy essentially consists of a hybridization of Simulated Annealing, combined with the well-known GAMS package. In particular, the sample cases consisted of finding the most convenient routes so as to transport natural gasoline from Santa Cruz (Argentina) gas fields to the processing plants. The SAG algorithm behaved satisfactorily because it proved to be efficient and flexible.
Materia
Ciencias Químicas
Simulated Annealing
Pipeline Networks
Gams
Hydrocarbon
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/4287
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/4287
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Simulated-Annealing Optimization for Hydrocarbon Pipeline NetworksRodriguez, D. ABrignole, N. BOteiza, Paola P.Ciencias QuímicasSimulated AnnealingPipeline NetworksGamsHydrocarbonIn this work the determination of optimally located pipeline networks has been proposed by means of the implementation of a metaheuristic algorithm called Simulated Annealing with GAMS (SAG) in order to find the best pipeline layout together with a subset of locations to install concentrating nodes. The strategy essentially consists of a hybridization of Simulated Annealing, combined with the well-known GAMS package. In particular, the sample cases consisted of finding the most convenient routes so as to transport natural gasoline from Santa Cruz (Argentina) gas fields to the processing plants. The SAG algorithm behaved satisfactorily because it proved to be efficient and flexible.2013-05-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/4287enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-04T09:43:15Zoai:digital.cic.gba.gob.ar:11746/4287Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-04 09:43:15.514CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
title Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
spellingShingle Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
Rodriguez, D. A
Ciencias Químicas
Simulated Annealing
Pipeline Networks
Gams
Hydrocarbon
title_short Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
title_full Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
title_fullStr Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
title_full_unstemmed Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
title_sort Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks
dc.creator.none.fl_str_mv Rodriguez, D. A
Brignole, N. B
Oteiza, Paola P.
author Rodriguez, D. A
author_facet Rodriguez, D. A
Brignole, N. B
Oteiza, Paola P.
author_role author
author2 Brignole, N. B
Oteiza, Paola P.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Químicas
Simulated Annealing
Pipeline Networks
Gams
Hydrocarbon
topic Ciencias Químicas
Simulated Annealing
Pipeline Networks
Gams
Hydrocarbon
dc.description.none.fl_txt_mv In this work the determination of optimally located pipeline networks has been proposed by means of the implementation of a metaheuristic algorithm called Simulated Annealing with GAMS (SAG) in order to find the best pipeline layout together with a subset of locations to install concentrating nodes. The strategy essentially consists of a hybridization of Simulated Annealing, combined with the well-known GAMS package. In particular, the sample cases consisted of finding the most convenient routes so as to transport natural gasoline from Santa Cruz (Argentina) gas fields to the processing plants. The SAG algorithm behaved satisfactorily because it proved to be efficient and flexible.
description In this work the determination of optimally located pipeline networks has been proposed by means of the implementation of a metaheuristic algorithm called Simulated Annealing with GAMS (SAG) in order to find the best pipeline layout together with a subset of locations to install concentrating nodes. The strategy essentially consists of a hybridization of Simulated Annealing, combined with the well-known GAMS package. In particular, the sample cases consisted of finding the most convenient routes so as to transport natural gasoline from Santa Cruz (Argentina) gas fields to the processing plants. The SAG algorithm behaved satisfactorily because it proved to be efficient and flexible.
publishDate 2013
dc.date.none.fl_str_mv 2013-05-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/4287
url https://digital.cic.gba.gob.ar/handle/11746/4287
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 12.623145

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