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dc.creatorCafaro, Diego Carlos-
dc.creatorCerda, Jaime-
dc.date2017-02-24T14:41:17Z-
dc.date2017-02-24T14:41:17Z-
dc.date2011-04-
dc.date2017-02-17T13:25:35Z-
dc.date.accessioned2019-04-29T15:29:02Z-
dc.date.available2019-04-29T15:29:02Z-
dc.date.issued2017-02-24T14:41:17Z-
dc.date.issued2017-02-24T14:41:17Z-
dc.date.issued2011-04-
dc.date.issued2017-02-17T13:25:35Z-
dc.identifierCafaro, Diego Carlos; Cerda, Jaime; A Rigorous Mathematical Formulation for the Scheduling of Tree-Structure Pipeline Networks; American Chemical Society; Industrial And Engineering Chemistry; 50; 9; 4-2011; 5064-5085-
dc.identifier0019-7866-
dc.identifierhttp://hdl.handle.net/11336/13363-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/294953-
dc.descriptionPipeline networks are the dominant mode of conveying a wide variety of oil refined products from refineries to distribution terminals. Pipeline infrastructure usually comprises trunk lines serving high-volume, long-haul transportation requirements, and delivering lines moving smaller volumes over shorter distances. Lots of products are mostly sent through trunk lines to bulk terminals while some portions are branched to delivering lines and supplied to nearby market areas. This work presents a novel continuous-time mixed-integer linear (MILP) formulation for the short-term operational planning of tree-structure pipeline systems. The problem goal is to find the optimal schedule of pumping and delivery operations in order to satisfy all terminal requirements at minimum operating cost. To this end, model constraints strictly monitor the branching of batches and the creation of new interfaces in delivering lines to avoid forbidden sequences and determine additional reprocessing costs. By allowing the transfer of multiple products to delivering lines during a batch injection, longer runs can be executed and fewer ones are needed to find the optimal solution. The new approach has been successfully applied to three examples, one of them involving a real-world pipeline network. Compared with previous contributions, significant improvements in both solution quality and CPU time have been obtained.-
dc.descriptionFil: 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. Universidad Nacional del Litoral; Argentina-
dc.descriptionFil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. Universidad Nacional del Litoral; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherAmerican Chemical Society-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1021/ie101462k-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie101462k-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectOil Products Distribution-
dc.subjectSplit Pipelines-
dc.subjectContinuous-Time Scheduling-
dc.subjectRigorous Approach-
dc.subjectIngeniería de Procesos Químicos-
dc.subjectIngeniería Química-
dc.subjectINGENIERÍAS Y TECNOLOGÍAS-
dc.titleA Rigorous Mathematical Formulation for the Scheduling of Tree-Structure Pipeline Networks-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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