Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104151
PIRA download icon_1.1View/Download Full Text
Title: The separation of ternary azeotropic mixture : thermodynamic insight and improved multi-objective optimization
Authors: Sun, S
Chun, W
Yang, A
Shen, W
Cui, P
Ren, J 
Issue Date: 1-Sep-2020
Source: Energy, 1 Sept 2020, v. 206, 118117
Abstract: Acetonitrile (ACN) and Ethanol (EtOH) are important organic solvents and they are frequently used as mobile phase in high performance liquid chromatography resulting in the production of waste ternary mixture ACN/EtOH/water. The separation of such ternary systems is a key to recovery valuable solvents in waste liquid from views on economic and environmental benefits. Thus, we proposed an effective separation strategy of triple-column extractive distillation (TCED) to separate such ternary mixture with three binary azeotropes and a single ternary azeotrope for the first time. The suitable entrainer and the separation sequence were determined by thermodynamic insights (i.e., residue curve maps, isovolatility line, univolatility line and material balance lines). In addition, an improved multi-objective genetic algorithm optimization embedding the weak mutation and detection/deduplication of overlapping solutions was employed to optimize the proposed process with plenty of continuous and discrete decision variables. Finally, DMSO was determined as the most appropriate entrainer to separate such complex ternary mixture. The separation sequence of TCED process was determined as the ACN first, then EtOH and water as the last product. The optimal TCED process with the trade-off benefits between fixed capital investment and annual operating costs was obtained.
Keywords: Conceptual design
Multi-objective optimization
Ternary azeotropic mixture
Triple-column extractive distillation
Publisher: Elsevier Ltd
Journal: Energy 
ISSN: 0360-5442
EISSN: 1873-6785
DOI: 10.1016/j.energy.2020.118117
Rights: © 2020 Elsevier Ltd. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Sun, S., Chun, W., Yang, A., Shen, W., Cui, P., & Ren, J. (2020). The separation of ternary azeotropic mixture: Thermodynamic insight and improved multi-objective optimization. Energy, 206, 118117 is available at https://doi.org/10.1016/j.energy.2020.118117.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Ren_Separation_Ternary_Azeotropic.pdfPre-Published version2.45 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

88
Last Week
7
Last month
Citations as of Nov 30, 2025

Downloads

432
Citations as of Nov 30, 2025

SCOPUSTM   
Citations

68
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

63
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.