Short-term scheduling of multiple source pipelines with simultaneous injections and deliveries

This paper addresses the optimal scheduling of straight pipelines featuring multiple intermediate nodes acting as dual-purpose stations, with a continuous-time Mixed-Integer Linear Programming formulation partly derived from Generalized Disjunctive Programming. The new model allows for an intermedia...

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Bibliographic Details
Published inComputers & operations research Vol. 73; pp. 27 - 42
Main Authors Mostafaei, Hossein, Castro, Pedro M., Ghaffari-Hadigheh, Alireza
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.09.2016
Pergamon Press Inc
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Summary:This paper addresses the optimal scheduling of straight pipelines featuring multiple intermediate nodes acting as dual-purpose stations, with a continuous-time Mixed-Integer Linear Programming formulation partly derived from Generalized Disjunctive Programming. The new model allows for an intermediate station to act as an output and input terminal at the same time so as to reduce the number of segment switches between active and idle, and consequently decrease operating costs. Contrary to previous approaches, decisions related to batch sizing, batch sequencing and timing are determined in a single step. Several examples of growing complexity are solved to illustrate the effectiveness and computational advantage of the proposed model in both solution quality and CPU time. •Continuous-time MILP model for operational scheduling of multi-product pipeline networks with dual purpose stations.•Simultaneous batch injections and product removals at input and output terminals.•Contrary to previous contributions, decisions related to batch sizing, batch sequencing and timing, are determined in a single step.•Flow rate limitations in pipeline segments originated from a lower diameter are easily handled.
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ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/j.cor.2016.03.006