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Optimal Control of a Continuous Distillation Process under Probabilistic Constraints

In: Online Optimization of Large Scale Systems

Author

Listed:
  • René Henrion

    (Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS))

  • Pu Li

    (Technische Universität, Institut für Prozess- und Anlagentechnik)

  • Andris Möller

    (Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS))

  • Moritz Wendt

    (Technische Universität, Institut für Prozess- und Anlagentechnik)

  • Günter Wozny

    (Technische Universität, Institut für Prozess- und Anlagentechnik)

Abstract

A continuous distillation process with random inflow rate is considered. The aim is to find a control (feed rate, heat supply, reflux rate) which is optimal with respect to energy consumption and which is robust at the same time with respect to the stochastic level constraints in the feed tank. The solution approach is based on the formulation of probabilistic constraints. An overall model including the dynamics of the distillation process and probabilistic constraints under different assumptions on the randomness of inflow is developed and numerical results are presented.

Suggested Citation

  • René Henrion & Pu Li & Andris Möller & Moritz Wendt & Günter Wozny, 2001. "Optimal Control of a Continuous Distillation Process under Probabilistic Constraints," Springer Books, in: Martin Grötschel & Sven O. Krumke & Jörg Rambau (ed.), Online Optimization of Large Scale Systems, pages 499-517, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-04331-8_26
    DOI: 10.1007/978-3-662-04331-8_26
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