Rigorous scheduling of mesh-structure refined petroleum pipeline networks

Autores
Cafaro, Diego Carlos; Cerda, Jaime
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Pipeline networks represent the major mode of transportation for crude oil and refined fuels. Recent data suggest that this trend will persist in coming years. A multiproduct pipeline network can be described as a set of interconnected pipelines with several input and receiving terminals. In the most general case, it has a mesh-like configuration with alternative paths between two terminals. Pumping and delivery operations should be scheduled all at once in an integrated fashion. This work introduces a novel MILP continuous-time formulation for the scheduling of mesh pipeline networks. The pipeline operational plan is conceived as a sequence of composite pumping runs each one involving at most a batch injection at every input station. The model solution simultaneously provides the timing of batch inputs at every source, the product sequence and lot sizes at every pipeline, and the flows diverted to terminals. Three examples of growing complexity were successfully solved at low CPU times.
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Materia
Mutiproduct Pipeline Network
Mesh Structure
Operational Planning
Continuous Approach
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/10900

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spelling Rigorous scheduling of mesh-structure refined petroleum pipeline networksCafaro, Diego CarlosCerda, JaimeMutiproduct Pipeline NetworkMesh StructureOperational PlanningContinuous Approachhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Pipeline networks represent the major mode of transportation for crude oil and refined fuels. Recent data suggest that this trend will persist in coming years. A multiproduct pipeline network can be described as a set of interconnected pipelines with several input and receiving terminals. In the most general case, it has a mesh-like configuration with alternative paths between two terminals. Pumping and delivery operations should be scheduled all at once in an integrated fashion. This work introduces a novel MILP continuous-time formulation for the scheduling of mesh pipeline networks. The pipeline operational plan is conceived as a sequence of composite pumping runs each one involving at most a batch injection at every input station. The model solution simultaneously provides the timing of batch inputs at every source, the product sequence and lot sizes at every pipeline, and the flows diverted to terminals. Three examples of growing complexity were successfully solved at low CPU times.Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaFil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaElsevier2012-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10900Cafaro, Diego Carlos; Cerda, Jaime; Rigorous scheduling of mesh-structure refined petroleum pipeline networks; Elsevier; Computers And Chemical Engineering; 38; 3-2012; 185-2030098-1354enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135411003280info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2011.11.007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:10:27Zoai:ri.conicet.gov.ar:11336/10900instacron: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:34982025-09-17 11:10:27.36CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Rigorous scheduling of mesh-structure refined petroleum pipeline networks
title Rigorous scheduling of mesh-structure refined petroleum pipeline networks
spellingShingle Rigorous scheduling of mesh-structure refined petroleum pipeline networks
Cafaro, Diego Carlos
Mutiproduct Pipeline Network
Mesh Structure
Operational Planning
Continuous Approach
title_short Rigorous scheduling of mesh-structure refined petroleum pipeline networks
title_full Rigorous scheduling of mesh-structure refined petroleum pipeline networks
title_fullStr Rigorous scheduling of mesh-structure refined petroleum pipeline networks
title_full_unstemmed Rigorous scheduling of mesh-structure refined petroleum pipeline networks
title_sort Rigorous scheduling of mesh-structure refined petroleum pipeline networks
dc.creator.none.fl_str_mv Cafaro, Diego Carlos
Cerda, Jaime
author Cafaro, Diego Carlos
author_facet Cafaro, Diego Carlos
Cerda, Jaime
author_role author
author2 Cerda, Jaime
author2_role author
dc.subject.none.fl_str_mv Mutiproduct Pipeline Network
Mesh Structure
Operational Planning
Continuous Approach
topic Mutiproduct Pipeline Network
Mesh Structure
Operational Planning
Continuous Approach
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Pipeline networks represent the major mode of transportation for crude oil and refined fuels. Recent data suggest that this trend will persist in coming years. A multiproduct pipeline network can be described as a set of interconnected pipelines with several input and receiving terminals. In the most general case, it has a mesh-like configuration with alternative paths between two terminals. Pumping and delivery operations should be scheduled all at once in an integrated fashion. This work introduces a novel MILP continuous-time formulation for the scheduling of mesh pipeline networks. The pipeline operational plan is conceived as a sequence of composite pumping runs each one involving at most a batch injection at every input station. The model solution simultaneously provides the timing of batch inputs at every source, the product sequence and lot sizes at every pipeline, and the flows diverted to terminals. Three examples of growing complexity were successfully solved at low CPU times.
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
description Pipeline networks represent the major mode of transportation for crude oil and refined fuels. Recent data suggest that this trend will persist in coming years. A multiproduct pipeline network can be described as a set of interconnected pipelines with several input and receiving terminals. In the most general case, it has a mesh-like configuration with alternative paths between two terminals. Pumping and delivery operations should be scheduled all at once in an integrated fashion. This work introduces a novel MILP continuous-time formulation for the scheduling of mesh pipeline networks. The pipeline operational plan is conceived as a sequence of composite pumping runs each one involving at most a batch injection at every input station. The model solution simultaneously provides the timing of batch inputs at every source, the product sequence and lot sizes at every pipeline, and the flows diverted to terminals. Three examples of growing complexity were successfully solved at low CPU times.
publishDate 2012
dc.date.none.fl_str_mv 2012-03
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/11336/10900
Cafaro, Diego Carlos; Cerda, Jaime; Rigorous scheduling of mesh-structure refined petroleum pipeline networks; Elsevier; Computers And Chemical Engineering; 38; 3-2012; 185-203
0098-1354
url http://hdl.handle.net/11336/10900
identifier_str_mv Cafaro, Diego Carlos; Cerda, Jaime; Rigorous scheduling of mesh-structure refined petroleum pipeline networks; Elsevier; Computers And Chemical Engineering; 38; 3-2012; 185-203
0098-1354
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135411003280
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2011.11.007
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.001348