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

页码：362 / 366

页数：5

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