文献类型：期刊文献

英文题名：Optimal design of extractive distillation for acetic acid dehydration with N-methyl acetamide

作者：You, Xinqiang[1,2];Gu, Jinglian[3];Peng, Changjun[1,2];Rodriguez-Donis, Ivonne[4];Liu, Honglai[1,2]

机构：[1]East China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Dept Chem, Shanghai 200237, Peoples R China;[3]Chongqing Univ, Sch Chem & Chem Engn, Chongqing 400044, Peoples R China;[4]Univ Toulouse, INRA, ENSIACET INPT, Lab Chim Agroind, Toulouse, France

年份：2017

卷号：120

起止页码：301

外文期刊名：CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION

收录：;EI(收录号：20173304051653);WOS:【SCI-EXPANDED(收录号:WOS:000412040700028)】；

基金：This work was supported by the Doctoral Fund of Ministry of Education of China (No. 2016M601528) and the National Natural Science Foundation of China (No. 21606026 and 21276073).

语种：英文

外文关键词：Acetic acid dehydration; Extractive distillation; Sequential quadratic programming; Multi-objective optimization; Genetic algorithm

摘要：A distinctive strategy for entrainer recycling is proposed in this work for acetic acid (AA) dehydration by extractive distillation by using N methyl acetamide (NMA). The use of standard entrainers such as DMF or DMSO has the main drawback of forming an azeotrope with acetic acid. However, the vapour liquid equilibrium AA NMA exhibits a tangential pinch point at NMA end composition. The new strategy rises from the thermodynamic analysis of the ternary diagram that which involves no azeotrope. As a result, acetic acid with high purity can be obtained by the recycling of the entrainer with a relaxed constraint in its purity. Optimization studies are discussed by using two approaches: two-step optimization method with Sequential Quadratic Programming (TSOM case) and the multi-objective genetic algorithm. The multi-objective genetic algorithm allowed the computation of the optimal acetic acid dehydration with an impurity of 3% in the recycled entrainer. Significant cost savings are achieved thanks to the optimization of both columns together. Energy consumption is reduced by 12.8% and 56.9% whereas TAC is saved by 28.4% and 56.3% compared with optimal case TSOM (impurity content 1%) and a published "Case Ref" (impurity content 0.01%), respectively.