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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/24203
Ver los metadatos del registro completo
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846083396414996480 |
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13.22299 |