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Stochastic Optimization for Operating Chemical Processes under Uncertainty

In: Online Optimization of Large Scale Systems

Author

Listed:
  • René Henrion

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

  • Pu Li

    (Technische Universität Berlin, Institut für Prozess- und Anlagentechnik)

  • Andris Möller

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

  • Marc C. Steinbach

    (Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB))

  • Moritz Wendt

    (Technische Universität Berlin, Institut für Prozess- und Anlagentechnik)

  • Günter Wozny

    (Technische Universität Berlin, Institut für Prozess- und Anlagentechnik)

Abstract

Mathematical optimization techniques are on their way to becoming a standard tool in chemical process engineering. While such approaches are usually based on deterministic models, uncertainties such as external disturbances play a significant role in many real-life applications. The present article gives an introduction to practical issues of process operation and to basic mathematical concepts required for the explicit treatment of uncertainties by stochastic optimization.

Suggested Citation

  • René Henrion & Pu Li & Andris Möller & Marc C. Steinbach & Moritz Wendt & Günter Wozny, 2001. "Stochastic Optimization for Operating Chemical Processes under Uncertainty," Springer Books, in: Martin Grötschel & Sven O. Krumke & Jörg Rambau (ed.), Online Optimization of Large Scale Systems, pages 457-478, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-04331-8_24
    DOI: 10.1007/978-3-662-04331-8_24
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