Title: Optimisation-based algorithm for refinery short-term scheduling of crude-oil

Authors: Qianqian Duan; Genke Yang; Guoqiang Li

Addresses: Department of Automation, Shanghai University of Engineering Science, Longteng Road, Shanghai, China; Department of Automation, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, China ' Department of Automation, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, China ' School of Software, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, China

Abstract: A short-term schedule for oil refinery should detail all the activities for the entire scheduling process, leading to a complex problem. There is a lack of efficient techniques and software tools for its solution applicable to industrial oil refinery. An optimisation-based algorithm is proposed in this paper with methods to obtain global optimal or near-optimal solutions for this hybrid system. This solution approach benefits from a hybrid automaton model describing the hybrid system and using an algorithm based on the hybrid model to obtain a feasible solution. In order to solve the crude-oil scheduling, the hybrid model we introduce utilises techniques to dynamically improve uniform overage of the solution space. As evidenced by experimental results, this approach has been successfully applied. [Received: July 20, 2015; Accepted: April 20, 2016]

Keywords: refinery; hybrid system; hybrid automaton model; solution space.

DOI: 10.1504/IJOGCT.2018.089337

International Journal of Oil, Gas and Coal Technology, 2018 Vol.17 No.1, pp.34 - 59

Received: 20 Jul 2015
Accepted: 20 Apr 2016

Published online: 19 Jan 2018 *

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