Multi-objective optimisation of batch separation processes

被引：16

作者：

Barakat, Tajalasfia M. M. ^{[1
]}

Fraga, Eric S. ^{[1
]}

Sorensen, Eva ^{[1
]}

机构：

[1] UCL, Dept Chem Engn, Ctr Proc Syst Engn, London WC1E 7JE, England

来源：

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION | 2008年 / 47卷 / 12期

关键词：

Multi-objective optimisation; Genetic algorithm; Batch distillation; Batch hybrid separation;

D O I：

10.1016/j.cep.2008.01.005

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper considers tor the first time the Simultaneous multi-objective optimisation of design and operation of batch distillation as well as of batch hybrid distillation/pervaporation processes. The overall problem is formulated as a multi-objective mixed integer dynamic optimisation (MO-MIDO) problem. The optimisation strategy comprises of different ranking procedures that allow the determination of the Pareto optimal set. A case study for the separation of a homogeneous tangent-pinch (acetone-water) mixture is presented for a dual-criteria optimisation case of minimising capital investment while at the same time minimising the energy consumption rate during the batch. It is found that the proposed distance ranking procedure yields the best Pareto optimal set when compared to other non-dominated sorting procedures. Furthermore, the distance ranking procedure was found to be further improved when used with all elitism operator. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：2303 / 2314

页数：12

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