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Download fileEfficient Approach for Calculating Pareto Boundaries under Uncertainties in Chemical Process Design
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posted on 2017-10-05, 00:00 authored by M. Bortz, J. Burger, E. von Harbou, M. Klein, J. Schwientek, N. Asprion, R. Böttcher, K.-H. Küfer, H. HasseTaking account of uncertain model
parameters in simulation-based
flowsheet optimization is crucial in order to quantify the reliability
of the optimization results. Since chemical process design is a multicriteria
optimization (MCO) task, methods to deal with uncertain Pareto boundaries
are needed. The simplest of such methods consists of a sensitivity
analysis of the Pareto boundary. In this work, it is shown how going
beyond sensitivity analysis can yield favorable process designs not
seen by sensitivity analysis alone. This is achieved by taking uncertainties
into account by worst and best case Pareto boundaries or by considering
the robustness of the Pareto boundary with respect to uncertain model
parameters as additional objectives. In order to increase computational
efficiency, for the first time, an adaptive scalarization approach
is used to deal with uncertainties in MCO. The methods are illustrated
by the calculation of a NQ curve of a distillation column.