Optimization of Petroleum Refinery Configuration Design with Logic Propositions
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.
[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.
[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.
@article{"International Journal of Chemical, Materials and Biomolecular Sciences:50036", author = "Cheng Seong Khor and Xiao Qi Yeoh", title = "Optimization of Petroleum Refinery Configuration Design with Logic Propositions", 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.", volume = "4", number = "8", pages = "453-4", }