Optimisation-based algorithm for refinery short-term scheduling of crude-oil
by Qianqian Duan; Genke Yang; Guoqiang Li
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 17, No. 1, 2018

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]

Online publication date: Fri, 19-Jan-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Oil, Gas and Coal Technology (IJOGCT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com