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

: Bortz, Michael; Maag, Volker; Schwientek, Jan; Benfer, Regina; Böttcher, Roger; Burger, Jakob; Harbou, E. von; Asprion, N.; Küfer, K.-H.; Hasse, H.


Gernaey, K.V.:
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, PSE 2015/ESCAPE 2015. Pt.A : Joint event; 31 May - 4 June 2015, Copenhagen, Denmark
Amsterdam: Elsevier, 2015 (Computer-aided chemical engineering 37)
ISBN: 978-0-444-63578-5
ISBN: 978-0-444-63429-0 (Set)
International Symposium on Process Systems Engineering (PSE) <12, 2015, Copenhagen>
European Symposium on Computer Aided Process Engineering (ESCAPE) <25, 2015, Copenhagen>
Conference Paper
Fraunhofer ITWM ()

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.