![]() ![]() It is shown how this methodology yields more details about limitations of a studied process design. To facilitate automation, a novel relaxation-based heuristic to differentiate between numerical and physical infeasibility when simulations do not converge is introduced. In this work, an approach to quantify the effect of uncertainty on a process design in order to enhance comparisons among different designs is presented. The complexity of typical process models limits intuitive engineering estimates to judge the impact of uncertain parameters on the proposed design. Still, process engineers are expected to design safe, dependable and cost-efficient processes under these conditions. E-mail: major challenge in chemical process design is to make design decisions based on partly incomplete or imperfect design input data. E-mail: IICurrently: Massachusetts Institute of Technology, Department of Chemical Engineering, 66-363, 77 Massachusetts Ave, Cambridge, MA 02139, USA. This is an extended version of the manuscript presented at the PSE 2009 -10th International Symposium on Process Systems Engineering, 2009, Salvador, Brazil, and published in Computer Aided Chemical Engineering, vol. To whom correspondence should be addressed ![]() Supporting chemical process design under uncertaintyĪ. ![]()
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