Systematic design of an extractive distillation for maximum‐boiling azeotropes with heavy entrainers |
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Authors: | Weifeng Shen Lichun Dong Shun'an Wei Jie Li Hassiba Benyounes Xinqiang You Vincent Gerbaud |
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Affiliation: | 1. School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China;2. Key Laboratory of Low‐Grade Energy Utilization Technologies & Systems of the Ministry of Education, Chongqing University, Chongqing, China;3. Dept. of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, NY, USA;4. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China;5. U.S.T. Oran, Laboratoire de chimie physique des matériaux, catalyse et environnement, Oran, Algérie;6. Université de Toulouse, INP, UPS, LGC (Laboratoire de Génie Chimique), France;7. CNRS, LGC (Laboratoire de Génie Chimique), France |
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Abstract: | Extractive distillation is one of the most attractive approaches for separating azeotropic mixtures. Few contributions have been reported to design an extractive distillation for separating maximum‐boiling azeotropes and no systematic approaches for entrainer screening have been presented. A systematic approach to design of two‐column extractive distillation for separating azeotropes with heavy entrainers has been proposed. A thermodynamic feasibility analysis for azeotropes with potential heavy entrainers was first conducted. Then, five important properties are selected for entrainer evaluation. Fuzzy logic and develop membership functions to calculate attribute values of selected properties have been used. An overall indicator for entrainer evaluation is proposed and a ranking list is generated. Finally, the top five entrainers from the ranking list have been selected and use process optimization techniques to further evaluate selected entrainers and generate an optimal design. The capability of the proposed method is illustrated using the separation of acetone–chloroform azeotropes with five potential entrainers. © 2015 American Institute of Chemical Engineers AIChE J, 61: 3898–3910, 2015 |
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Keywords: | extractive distillation entrainer screening membership function process optimization |
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