SCI和EI收录∣中国化工学会会刊

›› 2011, Vol. 19 ›› Issue (5): 833-844.

• SELECTED PAPERS FROM THE 4TH NATIONAL CONFERENCE ON MASS TRANSFER AND SEPARATION ENGINEERING AND IN HONOUR OF PROF. K. T. YU (YU GUOCONG) • Previous Articles     Next Articles

Prediction of Distillation Column Performance by Computational Mass Transfer Method

SUN Zhimin, LIU Chunjiang, YU Guocong, YUAN Xigang   

  1. State Key Laboratory for Chemical Engineering (Tianjin University) and School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
  • Received:2011-06-20 Revised:2011-08-25 Online:2011-10-28 Published:2011-10-28
  • Supported by:
    Supported by the National Natural Science Foundation of China (20736005)

Prediction of Distillation Column Performance by Computational Mass Transfer Method

孙志民, 刘春江, 余国琮, 袁希钢   

  1. State Key Laboratory for Chemical Engineering (Tianjin University) and School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
  • 通讯作者: YU Guocong,E-mail:ktyu@tju.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China (20736005)

Abstract: A computational mass transfer model is proposed for predicting the concentration profile and Murphree efficiency of sieve tray distillation column. The proposed model is based on using modified c'2c' two equations formulation for closing the differential turbulent mass transfer equation with improvement by considering the vapor injected from the sieve hole to be three dimensional. The predicted concentration distributions by using proposed model were checked by experimental work conducted on a sieve tray simulator of 1.2 meters in diameter for desorbing the dissolved oxygen in the feed water by blowing air. The model predictions were confirmed by the experimental measurement. The validation of the proposed model was further tested by comparing the simulated result with the performance of an industrial scale sieve tray distillation column reported by Kunesh et al. for the stripping of toluene from its water solution. The predicted outlet concentration of each tray and the Murphree tray efficiencies under different operating conditions were in agreement with the published data. The simulated turbulent mass transfer diffusivity on each tray was within the range of the experimental result in the same sieve column reported by Cai et al. In addition, the prediction of the influence of sieve tray structure on the tray efficiency by using the proposed model was demonstrated.

Key words: simulation, concentration field, computational mass transfer, computational fluid-dynamics, tray effi-ciency, sieve tray, turbulent mass transfer diffusivity

摘要: A computational mass transfer model is proposed for predicting the concentration profile and Murphree efficiency of sieve tray distillation column. The proposed model is based on using modified c'2c' two equations formulation for closing the differential turbulent mass transfer equation with improvement by considering the vapor injected from the sieve hole to be three dimensional. The predicted concentration distributions by using proposed model were checked by experimental work conducted on a sieve tray simulator of 1.2 meters in diameter for desorbing the dissolved oxygen in the feed water by blowing air. The model predictions were confirmed by the experimental measurement. The validation of the proposed model was further tested by comparing the simulated result with the performance of an industrial scale sieve tray distillation column reported by Kunesh et al. for the stripping of toluene from its water solution. The predicted outlet concentration of each tray and the Murphree tray efficiencies under different operating conditions were in agreement with the published data. The simulated turbulent mass transfer diffusivity on each tray was within the range of the experimental result in the same sieve column reported by Cai et al. In addition, the prediction of the influence of sieve tray structure on the tray efficiency by using the proposed model was demonstrated.

关键词: simulation, concentration field, computational mass transfer, computational fluid-dynamics, tray effi-ciency, sieve tray, turbulent mass transfer diffusivity