Optimal power and resource-intensive process design under uncertainty

Approach to the solution of a problem of optimal power and resource-intensive process design under uncertainty is proposed. The problem has a form of two-stage optimization problem with separate chance constraints. The approach based on the problem’s functions approximations allows us to avoid calculation of multiple integrals. This allows us to reduce the problem of stochastic nonlinear programming to the usual problem of nonlinear programming.