Optimization of chemical processes under uncertainty

The problem of determining optimal equipment sizes and regimes of chemical processes that guarantee flexibility of the processes under uncertainty is considered in this paper. The effect of multiextremality of the solution is investigated. A comparative analysis of deterministic methods available in the open literature has been carried out as a result. All the methods require some convexity (or concavity) assumptions, which are difficult to verify for practical problems. To address the latter, we have developed algorithms with minimal convexity (or concavity) requirements for this problem.