Optimal Scheduling of Multiproduct Pipeline System Using MILP Continuous Approach - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2018

Optimal Scheduling of Multiproduct Pipeline System Using MILP Continuous Approach

Résumé

To date, the multiproduct pipeline transportation mode has nationally and internationally considerably evolved thanks to his efficiently and effectively of transporting several products. In this paper, we focus our study on the scheduling of a multiproduct pipeline system that receives a number of petroleum products (fuels) from a single refinery source in order to be distributed to several storage and distribution centers (depots). Mixed Integer Linear Programming (MILP) continuous mathematical approach is presented to solve this problem. The sequence of injected products in the same pipeline should be carefully studied, in order to meet market demands and ensure storage autonomy of the marketable pure products in the fuels depots on the one hand and to minimize the number of interfaces; Birth zone of mixture between two products in contact and in sequential flow, which may hinder the continuous operation of the pipeline system, by the necessity of additional storage capacity for this last mixture, that is in no way marketable and requires special processing operations. This work is applied on a real case of a multiproduct pipeline that feeds the western and southwestern region of Algeria with fuels. The obtained results based on the MILP continuous approach give an optimal scheduling of the multiproduct transport system with a minimized number of interfaces.
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hal-01913876 , version 1 (06-11-2018)

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Wassila Abdellaoui, Asma Berrichi, Djamel Bennacer, Fouad Maliki, Latéfa Ghomri. Optimal Scheduling of Multiproduct Pipeline System Using MILP Continuous Approach. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.411-420, ⟨10.1007/978-3-319-89743-1_36⟩. ⟨hal-01913876⟩
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