کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
155556 | 456900 | 2012 | 9 صفحه PDF | دانلود رایگان |
Generally, chemical processes (CP) are designed with the use of inaccurate mathematical models. Therefore, it is important to create a chemical process that guarantees satisfaction of all design specifications either exactly or with some probability. The paper considers the problem of solving one-stage optimization problem with chance constraints. The main issue in solving one-stage optimization problems is calculating multiple integrals (calculating the expected value of the objective function and probabilities of constraints satisfaction). Here we consider a new approach to solving a one-stage optimization problem with chance constraints in the case when uncertain parameters are dependent, normally distributed random, variables. This approach is based on transformation of chance constraints into deterministic ones.
► Problem of the optimal design of chemical processes under uncertainty is considered.
► Transformation of chance constraints with dependent variables to deterministic ones.
► Method of solving optimization problems with chance constraints is developed.
Journal: Chemical Engineering Science - Volume 83, 3 December 2012, Pages 119–127