Stochastic Optimization for Operating Chemical Processes under Uncertainty

René Henrion, Pu Li, Andris Möller, Marc C. Steinbach, Moritz Wendt and Günter Wozny
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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

A chapter in Online Optimization of Large Scale Systems, 2001, pp 457-478 from Springer

Abstract: 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.

Keywords: Stochastic Program; Model Predictive Control; Stochastic Optimization; Scenario Tree; Uncertain Variable (search for similar items in EconPapers)
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-04331-8_24

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DOI: 10.1007/978-3-662-04331-8_24

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