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Determining SMB Superstructures by Mixed-Integer Optimal Control

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Book cover Operations Research Proceedings 2006

Part of the book series: Operations Research Proceedings ((ORP,volume 2006))

Abstract

We treat a simplified model of a Simulated Moving Bed (SMB) chromatographic separation process that contains time-dependent discrete decisions. SMB processes have been gaining increased attention lately, see [3], [4] for further references. The related optimization problems are challenging from a mathematical point of view, as they combine periodic nonlinear optimal control problems in partial differential equations (PDE) with time-dependent discrete decisions. For this problem class of mixed-integer optimal control problems (MIOCP) a novel numerical method, developed in [5], is applied.

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References

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  3. S. Engell and A. Toumi. Optimisation and control of chromatography. Computers and Chemical Engineering, 29:1243–1252, 2005.

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  4. Y. Kawajiri and L.T. Biegler. Large-scale optimization strategies for zone configuration of simulated moving beds. In 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. Elsevier, 2006.

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  5. S. Sager. Numerical methods for mixed-integer optimal control problems. Der andere Verlag, Tönning, Lübeck, Marburg, 2005. ISBN 3-89959-416-9. Available at http://sager1.de/sebastian/downloads/Sager2005.pdf.

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© 2007 Springer-Verlag Berlin Heidelberg

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Sager, S., Diehl, M., Singh, G., Küpper, A., Engell, S. (2007). Determining SMB Superstructures by Mixed-Integer Optimal Control. In: Waldmann, KH., Stocker, U.M. (eds) Operations Research Proceedings 2006. Operations Research Proceedings, vol 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69995-8_6

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