Scoping and screening complex reaction networks using stochastic optimization

Abstract

AbstractA systematic methodology to target the performance of chemical reactors with the use of stochastic optimization is presented. The approach employs a two‐level strategy where targets are followed by the proposition of reactor configurations that match or are near the desired performance. The targets can be used for synthesis and retrofit problems, as they can provide the incentives to modify the operation, and ideas in developing the reactor design. The application of stochastic optimization enables confidence in the optimization results, can afford particularly nonlinear reactor models, and is not restricted by the dimensionality or the size of the problem.