Optimisation-based algorithm for refinery short-term scheduling of crude-oil. (2018)

• Record Type: Journal Article
• Authors: Duan, Qianqian; Yang, Genke; Li, Guoqiang
• Is Part Of: International journal of oil, gas and coal technology. Volume 17:Number 1(2018)
• Page Start: 34
• Page End: 59
• Publication Date: 2018
• Subjects: refinery -- hybrid system -- hybrid automaton model -- solution space; Petroleum as fuel -- Periodicals; Gas as fuel -- Periodicals; Coal -- Periodicals; Biomass energy -- Periodicals; Hydrogen as fuel -- Periodicals; 662.6
• Languages: English
• ISSNs: 1753-3309

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]