Optimal Control of a Continuous Distillation Process under Probabilistic Constraints

René Henrion, Pu Li, Andris Möller, Moritz Wendt and Günter Wozny
Additional contact information
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

A chapter in Online Optimization of Large Scale Systems, 2001, pp 499-517 from Springer

Abstract: 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.

Keywords: Distillation Column; Inflow Rate; Probabilistic Constraint; Differential Algebraic Equation; Filling Level (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-04331-8_26

Ordering information: This item can be ordered from
http://www.springer.com/9783662043318

DOI: 10.1007/978-3-662-04331-8_26

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().