This paper presents a new approach towards the integration of process design and control. The approach compares alternative process designs based on the optimal closed-loop performance in the presence of stochastic disturbances. The most important contribution is that a clear relation is established between the degrees of freedom in the process design and a closed loop performance measure. The approach is illustrated with a case-study of a distillation column.
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