作者
Gennady M Ostrovsky, Nadir N Ziyatdinov, Tatjana V Lapteva, Anna Silvestrova
发表日期
2015/4/8
期刊
Industrial & Engineering Chemistry Research
卷号
54
期号
13
页码范围
3412-3429
出版商
American Chemical Society
简介
Generally, chemical processes are designed with the use of inaccurate mathematical models. Therefore, it is important to create a chemical process that guarantees the satisfaction of all design specifications either exactly or with some probability. This paper considers the issue of chemical process optimization when at the operation stage the design specifications should be met with some probability and the control variables can be changed. We have developed a common approach for solving one-stage and two-stage optimization problems with joint chance constraints for the cases in which the uncertain parameters are either independent random variables with arbitrary probability distributions or dependent normally distributed random variables. This approach is based on approximate transformation of chance constraints into deterministic constraints. This excludes the numerical calculation of multiple integrals …
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GM Ostrovsky, NN Ziyatdinov, TV Lapteva… - Industrial & Engineering Chemistry Research, 2015