Abstract Reactive distillation is a process combining chemical reaction with distillation separation.It has attracted many researchers and has been used widely for the virtues of high selectivity,low capital investment and little energy consumption.In this article,artificial neural network(ANN) model was presented to simulate reactive distillation.A lot of data were produced by ASPEN to make up the shortage of experimental data when setting up the ANN models.In company with the ANN models,the multi-objective genetic algorithm was used to optimize the process of reactive distillation.Results show that the proposed method is feasible and has high precision.Reactive distillation for synthesizing ethyl acetate was taken as an example to demonstrate the proposed simulation and optimization methods.
SONG Hai-hua,SONG Gao-peng,SONG Jing,SONG Fu-cai.Application of Multi-Objective Genetic Algorithm in the Optimization of Reactive Distillation[J] Chemcial Industry and Engineering, 2008,V25(1): 52-55
2008, Vol. 25 
