Short-term operational planning of refined products pipelines

Autores
Cafaro, Diego Carlos; Cerda, Jaime
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Pipelines are the safest and least expensive mode for transporting energy products over long distances. Refined products pipelines convey multiple oil derivatives from refineries to marketing terminals, usually through the same duct. Planning the injection, transportation and delivery of batches moving into pipelines is a very complex industrial problem with many operational constraints. This work synthesizes two innovative optimization tools for the short-term planning of oil product pipelines. The first one is a continuous-time mixed-integer linear programming (MILP) formulation for the short-term planning of pipelines connecting a single source node to multiple terminals over a multiperiod horizon. In the second approach, the MILP formulation is extended to deal with the transportation planning of multi-source pipelines. Common-carrier pipelines often present input facilities at non-origin points, whose operation raises new difficulties. Solutions to real-world case studies illustrate the performance of the proposed optimization tools.
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
Oil Products Pipelines
Operational Planning
Optimization
Milp Models
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:11336/24203

id CONICETDig_89cf9b15e99e56f61d22e76b722ba7dd
oai_identifier_str oai:ri.conicet.gov.ar:11336/24203
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Short-term operational planning of refined products pipelinesCafaro, Diego CarlosCerda, JaimeOil Products PipelinesOperational PlanningOptimizationMilp Modelshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Pipelines are the safest and least expensive mode for transporting energy products over long distances. Refined products pipelines convey multiple oil derivatives from refineries to marketing terminals, usually through the same duct. Planning the injection, transportation and delivery of batches moving into pipelines is a very complex industrial problem with many operational constraints. This work synthesizes two innovative optimization tools for the short-term planning of oil product pipelines. The first one is a continuous-time mixed-integer linear programming (MILP) formulation for the short-term planning of pipelines connecting a single source node to multiple terminals over a multiperiod horizon. In the second approach, the MILP formulation is extended to deal with the transportation planning of multi-source pipelines. Common-carrier pipelines often present input facilities at non-origin points, whose operation raises new difficulties. Solutions to real-world case studies illustrate the performance of the proposed optimization tools.Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaSpringer2017-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/24203Cafaro, Diego Carlos; Cerda, Jaime; Short-term operational planning of refined products pipelines; Springer; Optimization And Engineering; 18; 1; 3-2017; 241-2681389-4420CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s11081-016-9330-5info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11081-016-9330-5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:25:07Zoai:ri.conicet.gov.ar:11336/24203instacron: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:34982025-10-15 15:25:07.73CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Short-term operational planning of refined products pipelines
title Short-term operational planning of refined products pipelines
spellingShingle Short-term operational planning of refined products pipelines
Cafaro, Diego Carlos
Oil Products Pipelines
Operational Planning
Optimization
Milp Models
title_short Short-term operational planning of refined products pipelines
title_full Short-term operational planning of refined products pipelines
title_fullStr Short-term operational planning of refined products pipelines
title_full_unstemmed Short-term operational planning of refined products pipelines
title_sort Short-term operational planning of refined products pipelines
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 Oil Products Pipelines
Operational Planning
Optimization
Milp Models
topic Oil Products Pipelines
Operational Planning
Optimization
Milp Models
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Pipelines are the safest and least expensive mode for transporting energy products over long distances. Refined products pipelines convey multiple oil derivatives from refineries to marketing terminals, usually through the same duct. Planning the injection, transportation and delivery of batches moving into pipelines is a very complex industrial problem with many operational constraints. This work synthesizes two innovative optimization tools for the short-term planning of oil product pipelines. The first one is a continuous-time mixed-integer linear programming (MILP) formulation for the short-term planning of pipelines connecting a single source node to multiple terminals over a multiperiod horizon. In the second approach, the MILP formulation is extended to deal with the transportation planning of multi-source pipelines. Common-carrier pipelines often present input facilities at non-origin points, whose operation raises new difficulties. Solutions to real-world case studies illustrate the performance of the proposed optimization tools.
Fil: Cafaro, Diego Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description Pipelines are the safest and least expensive mode for transporting energy products over long distances. Refined products pipelines convey multiple oil derivatives from refineries to marketing terminals, usually through the same duct. Planning the injection, transportation and delivery of batches moving into pipelines is a very complex industrial problem with many operational constraints. This work synthesizes two innovative optimization tools for the short-term planning of oil product pipelines. The first one is a continuous-time mixed-integer linear programming (MILP) formulation for the short-term planning of pipelines connecting a single source node to multiple terminals over a multiperiod horizon. In the second approach, the MILP formulation is extended to deal with the transportation planning of multi-source pipelines. Common-carrier pipelines often present input facilities at non-origin points, whose operation raises new difficulties. Solutions to real-world case studies illustrate the performance of the proposed optimization tools.
publishDate 2017
dc.date.none.fl_str_mv 2017-03
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/11336/24203
Cafaro, Diego Carlos; Cerda, Jaime; Short-term operational planning of refined products pipelines; Springer; Optimization And Engineering; 18; 1; 3-2017; 241-268
1389-4420
CONICET Digital
CONICET
url http://hdl.handle.net/11336/24203
identifier_str_mv Cafaro, Diego Carlos; Cerda, Jaime; Short-term operational planning of refined products pipelines; Springer; Optimization And Engineering; 18; 1; 3-2017; 241-268
1389-4420
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s11081-016-9330-5
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs11081-016-9330-5
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 Springer
publisher.none.fl_str_mv Springer
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
_version_ 1846083396414996480
score 13.22299