2010
DOI: 10.1016/j.compchemeng.2009.11.014
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A mathematical model for planning transportation of multiple petroleum products in a multi-pipeline system

Abstract: A multiproduct pipeline provides an economic way to transport large volumes of refined petroleum products over long distances. In such a pipeline, different products are pumped back-to-back without any separation device between them. Sometimes, multiproduct pipelines can be connected together, resulting in a more complex system commonly named multi-pipeline system. This paper proposes a new discrete mathematical approach to solve short-term operational planning of multi-pipeline systems for refined products. T… Show more

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Cited by 91 publications
(55 citation statements)
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References 8 publications
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“…Zyngier and Kelly (2009) proved that the introduction of a stock constraint will add to the model's complexity and improve the discrete-time expression. Herrán et al (2010) resolved the issue of multi-injection and tracking batch interfaces through discrete-time expression. de Souza Filho et al (2013) combined a discrete-time expression with a heuristic algorithm and set up a mixed integer linear programming (MILP) model to resolve the issue of scheduling aiming at minimizing power costs.…”
Section: Introductionmentioning
confidence: 99%
“…Zyngier and Kelly (2009) proved that the introduction of a stock constraint will add to the model's complexity and improve the discrete-time expression. Herrán et al (2010) resolved the issue of multi-injection and tracking batch interfaces through discrete-time expression. de Souza Filho et al (2013) combined a discrete-time expression with a heuristic algorithm and set up a mixed integer linear programming (MILP) model to resolve the issue of scheduling aiming at minimizing power costs.…”
Section: Introductionmentioning
confidence: 99%
“…the initial volume of batch i. (12) and (13). The parameter pv denotes the total volume of the pipeline network.…”
Section: Tracking Batches Along the Pipelinementioning
confidence: 99%
“…Instead of generating the whole pipeline model, we discretize the pipeline model into many segments [3] in order to simulate the liquid flow process as in Fig. 1.…”
Section: Parameter Driven Discretization Modelingmentioning
confidence: 99%