Multi-objective optimisation of batch distillation processes

被引:0
作者
Barakat, Tajalasfia M. [1 ]
Fraga, Eric S. [1 ]
Sorensen, Eva [1 ]
机构
[1] UCL, Ctr Proc Syst Engn, Dept Chem Engn, London WC1E 7JE, England
来源
16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷
关键词
Multi-objective optimisation; Genetic algorithm; Batch distillation;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper considers for the first time the simultaneous multi-objective optimisation of design and operation of batch distillation processes. The overall problem is formulated as a mixed integer dynamic multi-objective optimisation (MIDMO) problem. The optimisation strategy comprises of economics indices that reflect capital investment, operating costs and production revenues. A case study for the separation of a homogeneous tangent-pinch (acetone-water) binary mixture is presented for a dual-criteria optimisation case of minimising capital investment whilst also minimizing production costs. It is found that the proposed genetic algorithm based multi-objective framework can be implemented to multi-dimensional engineering problems to obtain the Pareto-optimal set. The presented algorithm was found to successfully handle the multi-objective nature of the simultaneous design and operation of batch distillation columns.
引用
收藏
页码:955 / 960
页数:6
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