Title: Integration and coordination of multisite refinery and under uncertainty

Authors: A. Elkamel, K. Al-Qahtani

Addresses: Department of Chemical Engineering, University of Waterloo, Ontario, N2L 3G1, Canada. ' Department of Chemical Engineering, University of Waterloo, Ontario, N2L 3G1, Canada

Abstract: In this paper we extend upon our previous work on the deterministic design of an optimal network for the integration of multisite refinery and petrochemical systems to incorporate uncertainty. A two-stage stochastic mixed-integer program with the objective of minimising the refining cost over a given time horizon and maximising the added value by the petrochemical network is proposed in this paper. Uncertainties considered in this study are in terms of imported crude oil price, refinery product price, petrochemical product price, refinery market demand, and petrochemical lower level product demand. The proposed method adopts the sample average approximation (SAA) method for scenario generation and optimal gab statistical bounding. The model performance is tested on an industrial case study of multiple refineries and a polyvinyl chloride (PVC) complex.

Keywords: planning under uncertainty; coordination; petrochemical planning; multirefinery optimisation; refinery networks; petrochemical networks; multiple refineries; polyvinyl chloride; PVC complex; imported crude oil; oil prices; refinery products; petrochemical products; market demand; lower level product demand; product pricing.

DOI: 10.1504/IJPSE.2011.041561

International Journal of Process Systems Engineering, 2011 Vol.1 No.3/4, pp.237 - 265

Published online: 14 Jan 2015 *

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