文献类型：期刊文献

英文题名：CAMD for entrainer screening of extractive distillation process based on new thermodynamic criteria

作者：Cignitti, Stefano[1]; Rodriguez-Donis, Ivonne[2]; Abildskov, Jens[1]; You, Xinqiang[3]; Shcherbakova, Nataliya[4]; Gerbaud, Vincent[4]

机构：[1] PROSYS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Denmark; [2] Laboratoire de Chimie Agro-Industrielle, Université de Toulouse, INRA, INP, Toulouse, France; [3] State Key Laboratory of Chemical Engineering, Department of Chemistry, East China University of Science and Technology, Shanghai, 200237, China; [4] Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INP, UPS, Toulouse, France

年份：2018

卷号：69

起止页码：223

外文期刊名：Chemical Engineering Transactions

收录：EI(收录号：20184205943785)

语种：英文

外文关键词：Nonlinear programming - Thermodynamic properties - Linear programming - Integer programming - Binary mixtures - Distillation

摘要：This paper presents a framework for finding homogeneous entrainers E to separate non-ideal mixtures AB by extractive distillation. The framework is a systematic approach to convert a Computer Aided Molecular Design into a mixed integer non-linear program (MINLP). It is based on the thermodynamic properties of binary mixtures AE and BE and of isovolatility curve maps of the ternary mixture ABE. Entrainer candidates are ranked by the maximization of the driving force of A and B in their respective mixtures AE and BE as well as by minimizing the entrainer composition xE corresponding to a fixed value of the relative volatility αAB. The framework application is highlighted through an entrainer problem design for the separation of acetone - methanol by extractive distillation process. ? Copyright 2018, AIDIC Servizi S.r.l.