A simulation study on the process design and optimization pressure swing separation of azeotropic mixture methanol and toluene

Xinxin Liu, Ndungutse Jean Maurice, Mugabekazi Joie Claire, Bigirimana Gentil, Junning Li, Zengxiang Jiao and Abdulmoseen Segun Giwa

PLOS ONE, 2024, vol. 19, issue 12, 1-25

Abstract: Pressure Swing Distillation (PSD) is the only advanced technology that does not require the addition of third components to the system to enhance the separation of azeotropic mixtures. It outperforms homogeneous distillation for separating pressure-sensitive azeotropic mixtures. In this study, we aimed to separate methanol and toluene using the Non-Random Two-Liquid (NRTL) and Aspen Plus thermodynamic calculation models to simulate a binary homogeneous azeotropic system. The standard PSD process was employed to separate methanol and toluene. Furthermore, multiple optimization sequences were utilized to sequentially optimize the process for obtaining higher purities of methanol and toluene while reducing the Total Annual Cost (TAC) and heat energy consumption. The effects of the optimization sequence on the TAC were investigated. The best optimization sequences for graphing in Origin or Aspen Plus were found to be RR1, NR, NF1, NF2, NT1, and NT2. Additionally, the Double-Effect Distillation (DED) optimization sequence is similar, with TAC as the primary function in the simulation and methanol and toluene purities up to 99.99%. In the DED simulation, the feed position and tray number were found to be sensitive to TAC by the order NR > NF1 > NF2 and NT1 > NT2. This study simulated PSD using the NRTL thermodynamic calculation model in Aspen Plus and generated visualizations using Origin software.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0310541

DOI: 10.1371/journal.pone.0310541

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