Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30172
Optimization of Petroleum Refinery Configuration Design with Logic Propositions

Authors: Cheng Seong Khor, Xiao Qi Yeoh

Abstract:

This work concerns the topological optimization problem for determining the optimal petroleum refinery configuration. We are interested in further investigating and hopefully advancing the existing optimization approaches and strategies employing logic propositions to conceptual process synthesis problems. In particular, we seek to contribute to this increasingly exciting area of chemical process modeling by addressing the following potentially important issues: (a) how the formulation of design specifications in a mixed-logical-and-integer optimization model can be employed in a synthesis problem to enrich the problem representation by incorporating past design experience, engineering knowledge, and heuristics; and (b) how structural specifications on the interconnectivity relationships by space (states) and by function (tasks) in a superstructure should be properly formulated within a mixed-integer linear programming (MILP) model. The proposed modeling technique is illustrated on a case study involving the alternative processing routes of naphtha, in which significant improvement in the solution quality is obtained.

Keywords: Mixed-integer linear programming (MILP), petroleum refinery, process synthesis, superstructure.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329260

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1413

References:


[1] J. M. Douglas, "A hierarchical decision procedure for process synthesis," AIChE Journal, vol. 31, pp. 353-362, 1985.
[2] B. Linnhoff, "Pinch analysisÔÇöa state-of-the-art overview," Trans IChemE, vol. 71, part A, pp. 503-522, 1993.
[3] I. E. Grossmann, "Review of nonlinear mixed-integer and disjunctive programming techniques" Optimization and Engineering, vol. 3, 227- 252, 2002.
[4] R. Raman and I. E. Grossmann, "Relation between MILP modelling and logical inference for chemical process synthesis," Computers & Chemical Engineering, vol. 15, no. 2, pp. 73-84, 1991.
[5] R. Raman and I. E. Grossmann, "Integration of logic and heuristic knowledge in MINLP optimization for process synthesis," Computers & Chemical Engineering, vol. 16, no. 3, pp. 155-171, 1992.
[6] R. Raman and I. E. Grossmann, "Symbolic integration of logic in mixedinteger linear programming techniques for process synthesis," Computers & Chemical Engineering, vol. 17, no. 9, pp. 909-927, 1993.
[7] R. Raman and I. E. Grossmann, "Modelling and computational techniques for logic based integer programming," Computers & Chemical Engineering, vol. 18, no. 7, pp. 563-578, 1994.
[8] C. S Khor, C. Y. Loh, and A. Elkamel, "A logic-based mixed-integer superstructure optimization approach for the optimal design of petroleum refinery topology with environmental considerations," in Proceedings of 5th International Conference on Foundations of Computer-Aided Process Operations (FOCAPO) 2008, Massachusetts, pp. 221-224.
[9] J. Hooker, H. Yan, I. E. Grossmann, and R. Raman, "Logic cuts for processing networks with fixed charges," Computers & Operations Research, vol. 21, no. 3, pp. 265-279, 1994.
[10] I. E Grossmann, "Advances in logic-based optimization approaches to process integration and supply chain management," in Chemical Engineering: Trends and Developments, M. A. Galan and E. Del Valle, Ed. West Sussex: Wiley, 2005, pp. 299-322.