OPTIMIZATION OF CHEMICAL PROCESSES UNDER CONDITION OF PARAMETRIC PROBABILISTIC UNCERTAINTY
We developed a method and a MathCAD implementation of the solution of the problem of stochastic optimization of chemical- engineering systems with unknown parameters using the characteristics of the parameters in the form of independent random variables with known laws and the parameters of the distribution was developed in the Mathcad environment. For optimization, an approximate model of objective function was used. To calculate multidimensional integrals, the Monte-Karlo method was employed. The method we developed was tested by solving the problem of optimization under probabilistic uncertainty for a sequence of extractors with a recycle.