This work presents a two-level methodology for the optimal design and MINLPsynthesis of flexible chemical processes with known probability distributions ofuncertain parameters. This methodology comprises synthesis at 1) nominal leveland 2) approximate stochastic level. Both levels rely on considerable reductionof discrete points. The first level provides good starting and flexible structurefor the second level, therefore, the computational effort is reduced and largerproblems with many uncertain parameters, e.g. 10 to 100, can be solved. Theuse of this methodology is illustrated by the synthesis of a flexible heatintegratedmethanol process flow sheet.
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