文献类型：期刊文献

英文题名：Estimation of Mass-Transfer Efficiency for Industrial Distillation Columns

作者：Luo, Na[1];Qian, Feng[1];Ye, Zhen-Cheng[1];Cheng, Hui[1];Zhong, Wei-Min[1]

机构：[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2012

卷号：51

期号：7

起止页码：3023

外文期刊名：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录：;EI(收录号：20120914816986);WOS:【SCI-EXPANDED(收录号:WOS:000300644300023)】；

基金：We are grateful to the reviewers for their detailed comments and suggestions. Thanks are also given to Dr. Wangli He and Jinlong Li from the laboratory for their professional editing. This work is funded by the Major State Basic Research Development Program of China (Grant 2009CB320603), 111 Project (Grant B08021), Shanghai Leading Academic Discipline Project (Grant B504), and Major State Basic Research Development Program of Shanghai (Grant 10JC1403400).

语种：英文

外文关键词：Mass transfer - Multiobjective optimization - Estimation - Distillation columns

摘要：Tray efficiencies are data fundamental to the evaluation of the performance of distillation columns, and many estimation methods have been proposed on the basis of the mass-transfer process. However, determining tray efficiencies in industrial practice remains a challenge. In the current paper, we provide a new method of estimating tray efficiencies of distillation columns by using industrial operating data, in which a multiobjective optimization problem is formulated and a univariate marginal distribution algorithm is used to solve this problem. Using the obtained tray efficiencies, a neural network model is then trained to predict the future efficiencies. The feasibility of the proposed method is verified by an industrial C8 aromatics distillation column. With the prediction errors limited to 5%, the approach shows more accurate generalization than traditional methods.