Thermodynamic Efficiency and Cost-Effective Optimization of Heterogeneous Batch Distillation

被引：0
|
作者：
Rodriguez-Donis, Ivonne [1 ]
Hernandez-Gonzalez, Noslen [2 ]
Gerbaud, Vincent [3 ]
Joulia, Xavier
机构：
[1] Inst Super Tecnol & Ciencias Aplicadas InSTEC, Ave Salvador Allende & Luaces,AP 6163, Havana, Cuba
[2] CENTAV, Havana, Cuba
[3] Univ Toulouse, INP UPS, LGC, F-31432 Toulouse, France
来源：
22 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2012年 / 30卷
关键词：
thermodynamic efficiency; azeotropic distillation; optimization; Pareto front;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A multi-objective genetic algorithm with constraints is used to obtain the Pareto front of heterogeneous azeotropic batch distillation (HABD). Genetic algorithm (NSGA-II) real-coded in MATLAB is coupled to a commercial simulator ProSim Batch for performing a constrained optimization of two objective functions: economical profit and thermodynamic efficiency. Illustration is done by the separation of n-hexane - ethyl acetate using methanol as a lower boiling heterogenous entrainer.
引用
收藏
页码：362 / 366
页数：5
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