A Modified Model for Flexibility Analysis in Chemical Engineering Processes

作     者：张蕾 何小荣 徐强 ZHANG Lei;He Xiaorong;XU Qiang

作者机构：Department of Chemical Engineering Tsinghua University Beijing 100084 China 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2004年第12卷第5期

页      面：673-676页

核心收录：

学科分类：07[理学] 070304[理学-物理化学(含∶化学物理)] 0703[理学-化学] 

主　　题：flexibility analysis chance-constrained programming stochastic simulation genetic algorithm 

摘      要：This paper discussed an extended model for flexibility analysis of chemical process. Under uncertainty, probability density function is used to describe uncertain parameters instead of hyper-rectangle, and chanceconstrained programming is a feasible way to deal with the violation of constraints. Because the feasible region of control variables would change along with uncertain parameters, its smallest acceptable size threshold is presented to ensure the controllability condition. By synthesizing the considerations mentioned above, a modified model can describe the flexibility analysis problem more exactly. Then a hybrid algorithm, which integrates stochastic simulation and genetic algorithm, is applied to solve this model and maximize the flexibility region. Both numerical and chemical process examples are presented to demonstrate the effectiveness of the method.