DocumentCode
133474
Title
Scheduling crude oil blending and tanks inventory control under CDU demand uncertainty: A receding horizon approach
Author
Hamisu, Aminu A. ; Yi Cao ; Kokossis, Antonis
Author_Institution
Process Syst. Eng. Group, Cranfield Univ., Cranfield, UK
fYear
2014
fDate
12-13 Sept. 2014
Firstpage
260
Lastpage
265
Abstract
The scheduling of crude oil processing for charging crude distillation unit (CDU) in petroleum refinery is a serious challenge especially when the CDU demand is uncertain. In this paper, we have shown that the problem of crude oil blending and inventory management scheduling under uncertainty can be cast in the framework of receding horizon control strategy. Fixed-end receding horizon is proposed and applied to a crude oil scheduling model to obtain schedules in a receding-like manner corresponding to different time steps over different prediction horizon lengths. Through case studies, this solution procedure was compared with the traditional scheduling solution approach and then with moving-end receding horizon strategy. Different disturbance scenarios are generated to evaluate the performance of the two receding horizon approaches in terms of efficiency to accommodate demand uncertainty.
Keywords
blending; crude oil; distillation; integer programming; linear programming; oil refining; scheduling; stock control; tanks (containers); CDU demand; crude distillation unit; crude oil blending; crude oil processing scheduling model; demand uncertainty; fixed-end receding horizon; horizon control strategy; inventory management scheduling; mixed-integer linear programming; moving-end receding horizon strategy; petroleum refinery; prediction horizon lengths; receding-like manner; Job shop scheduling; Optimal scheduling; Programming; Schedules; Storage tanks; Uncertainty; Crude oil; Mixed-integer linear programming (MILP); Short-term operation; receding horizon; scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Computing (ICAC), 2014 20th International Conference on
Conference_Location
Cranfield
Type
conf
DOI
10.1109/IConAC.2014.6935497
Filename
6935497
Link To Document