An Approach to solve the power and resource-intensive process design problem in a one-stage optimization problem form

Abstract

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 one-stage optimization problem with separate chance constraints. The approach based on the problem’s functions approximations and approximations of the regions of the constraints satisfaction. This allows us to avoid calculation of multiple integrals. Thus we reduce the problem of stochastic nonlinear programming to the sequence of the usual problem of nonlinear programming.