Design of flexible process flow sheets with a large number of uncertain parameters

Abstract This work presents a solution strategy for design and synthesis of flexible process flow sheets with a large number of uncertain parameters, i.e. 50-100. The strategy relies on the standard two-stage stochastic formulation for fixed degree of flexibility, and combines the following solution techniques: a) prescreening analyses for reduction of uncertain parameters used in the approximate stochastic optimization, b) determination of the reduced set of critical points for feasibility, c) decomposition technique for individual stochastic suboptimizations of uncertain parameters and determination of basic point for approximate stochastic optimization, and d) approximate stochastic optimization for flexible design. These methods are merged into the strategy for process flow sheet optimization with a large number of uncertain parameters,which is illustrated with bioethanol case study.