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  4. Decision support by multicriteria optimization in process development: An integrated approach for robust planning and design of plant experiments
 
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2015
Conference Paper
Titel

Decision support by multicriteria optimization in process development: An integrated approach for robust planning and design of plant experiments

Abstract
In simulation-based process design, model parameters, like thermodynamic data, are affected by uncertainties. Optimized process designs should, among different other objectives, also be robust to uncertainties of the model parameters. In industrial practise, it is important to know the trade-off between an increase in robustness and the other objectives - like minimizing costs or maximizing product purities. This contribution describes a practical procedure how to incorporate robustness as an objective into a multicriteria optimization framework. The general procedure is illustrated by a concrete example. Finally, we argue that the same approach is useable for an optimal design of plant experiments.
Author(s)
Bortz, Michael
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM
Maag, Volker
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM
Schwientek, Jan
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM
Benfer, Regina
Böttcher, Roger
Burger, Jakob
Harbou, E. von
Asprion, N.
Küfer, K.-H.
Hasse, H.
Hauptwerk
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, PSE 2015/ESCAPE 2015. Pt.A
Konferenz
International Symposium on Process Systems Engineering (PSE) 2015
European Symposium on Computer Aided Process Engineering (ESCAPE) 2015
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DOI
10.1016/B978-0-444-63576-1.50038-8
Language
English
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Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM
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