Abstract
Today’s changeable market and resultant disturbance of crude oil supply require agile and flexible scheduling of crude oil operation. The objective of flexible scheduling is to keep stable crude oil operation and satisfy production demands under the circumstances of supply disturbance. In this paper, a new mixed integer non-linear programming (MINLP) formulation is set up for crude oil scheduling firstly, and then some heuristic rules worked out by some experts are proposed to linearize bilinear terms and prefix some binary variables in the MINLP model. These rules not only reduce the complexity of the MINLP model, but also can be used to solve the scheduling problems in various conditions. In case study, the new model with heuristic rules and the best models reported in the literature are compared and evaluated in three benchmark examples in the normal situation, and then three abnormal situations of supply delay are considered based on the new approach. The results of case study show that the new flexible approach can handle crude oil scheduling problems efficiently in both normal and abnormal conditions.
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References
Coxhead R E. Integrated planning and scheduling systems for the refining industry, In: Ciriani T A, Leachman R C, eds. Optimization in Industry,. New York: Wiley, 1994. Vol 2, 185–199
Shah N. Mathematical programming techniques for crude oil scheduling. Comp Chem Eng, 1996, 20(Suppl B): S1227–S1232
Pinto J, Joly M, Moro L. Planning and scheduling models for refinery operations. Comp Chem Eng, 2000, 24: 2259–2276
Lee H, Pinto J M, Grossmann I E, Park S. Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management. Ind Eng Chem Res, 1996, 35: 1630–1641
Li W, Hui C W, Hua B, Tong Z X. Scheduling crude oil unloading, storage, and processing. Ind Eng Chem Res, 2002, 41: 6723–6734
Reddy P C P, Karimi I A, Srinivasan R. Novel solution approach for optimizing crude oil operations. AIChE J, 2004, 50(6): 1177–1197
Jia Z, Ierapetritou M, Kelly J D. Refinery short-term scheduling using continuous time formulation: crude-oil operations.Ind Eng Chem Res, 2003, 42: 3085–3097
Jia Z, Ierapetritou M G. Efficient short-term scheduling of refinery operations based on a continuous time formulation. Com Chem Eng, 2004, 28: 1001–1019
Moro L F L, Pinto J M. Mixed-integer programming approach for short-term crude oil scheduling. Ind Eng Chem Res, 2004, 43: 85–94
Li L, Li X, Qian Y. Modeling and scheduling of refinery crude systems with a hierarchical scheduling approach (in Chinese). Acta Petrol Ei Sinica (Petroleum processing section), 2005, 21(1): 88–94
Reddy P C P, Karimi I A, Srinivasan R. A new continuous-time formulation for scheduling crude oil operations. Chem Eng Sci, 2004, 59: 1325–1341
Adhitya A, Srinivasan R, Karimi I A. Heuristic rescheduling of crude oil operations to manage abnormal supply chain events. AIChE J, 2007, 53(2): 397–422
Guo J, Yang M. Planning and Scheduling of Chemical Production (in Chinese). Beijing: Chemical Industry Press, 2006. 153–156
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Supported partially by the National Natural Science Foundation of China (Grant Nos. 20536020 and 20876056), and the Guangdong Province Science and Technology Foundation (Grant No. 2004B5010-1002)
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Pan, M., Qian, Y. & Li, X. Flexible scheduling model of crude oil operations under crude supply disturbance. Sci. China Ser. B-Chem. 52, 387–400 (2009). https://doi.org/10.1007/s11426-009-0005-3
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DOI: https://doi.org/10.1007/s11426-009-0005-3