Optimization of chemical processes under uncertainty

被引：0

作者：

Ostrovsky, GM ^{[1
]}

Achenie, LEK ^{[1
]}

Volin, YM ^{[1
]}

机构：

[1] Univ Connecticut, Dept Chem Engn, Storrs, CT 06269 USA

来源：

SYSTEM MODELLING AND OPTIMIZATION: METHODS, THEORY AND APPLICATIONS | 2000年 / 46卷

关键词：

flexibility analysis; uncertainty analysis; chemical process design; nonlinear programming;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of determining optimal equipment sizes and regimes of chemical processes that guarantee flexibility of the processes under uncertainty is considered in this paper. The effect of multiextremality of the solution is investigated. A comparative analysis of deterministic methods available in the open literature has been carried out as a result. All the methods require some convexity (or concavity) assumptions, which are difficult to verify for practical problems. To address the latter, we have developed algorithms with minimal convexity (or concavity) requirements for this problem.

引用

页码：209 / 226

页数：18

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