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Screening of ionic liquids as green entrainers for ethanol water separation by extractive distillation: COSMO-RS prediction and aspen plus simulation.
Malik, Huzaifa; Khan, Huma Warsi; Hassan Shah, Mansoor Ul; Ahmad, Muhammad Imran; Khan, Iqra; Al-Kahtani, Abdullah A; Sillanpää, Mika.
Afiliação
  • Malik H; Department of Chemical Engineering, University of Engineering and Technology, 25120, Peshawar, Pakistan.
  • Khan HW; Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Perak, Malaysia; Centre of Research in Ionic Liquids (CORIL), Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Perak, Malaysia.
  • Hassan Shah MU; Department of Chemical Engineering, University of Engineering and Technology, 25120, Peshawar, Pakistan. Electronic address: mansoorshah@uetpeshawar.edu.pk.
  • Ahmad MI; Department of Chemical Engineering, University of Engineering and Technology, 25120, Peshawar, Pakistan; Metallurgical and Materials Engineering Department, Middle East Technical University, Ankara, 06800, Turkey. Electronic address: imran.ahmad@uetpeshawar.edu.pk.
  • Khan I; Department of Chemical Engineering, University of Engineering and Technology, 25120, Peshawar, Pakistan.
  • Al-Kahtani AA; Chemistry Department, P. O. Box 2455, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
  • Sillanpää M; Department of Biological and Chemical Engineering, Aarhus University, Norrebrogade 44, 8000, Aarhus C, Denmark.
Chemosphere ; 311(Pt 2): 136901, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36288769
ABSTRACT
Ionic liquids (ILs) have been demonstrated as promising alternatives to conventional entrainers in separation of azeotropic mixtures mostly investigating phase equilibrium and process design scenarios. However, proper selection of ILs for a specific task always remains challenging. Hence a simulation tool, i.e. conductor like screening model for real solvents (COSMO-RS) was applied to address this challenge. Furthermore, screened ILs were simulated as entrainers for ethanol water separation by extractive distillation. The current study also aims to demonstrate a systematic approach to retrofit existing processes, by employing ILs as green entrainers. Screening of twenty-five (25) ILs was carried out using COSMO-RS to select suitable ILs as green entrainers based on activity coefficient, capacity and selectivity. Results illustrated that tetramethylammonium chloride ([TMAm][Cl]) due to its strong hydrogen bonding ability was found to be the best ILs entrainer. Moreover, in order to reduce the operating costs without compromising desired product purity (ethanol purity ≥99.5% in top product), the selected ILs (8 kg/h) in a mixture with ethylene glycol (72 kg/h) were simulated using Aspen plus v.11. The simulation results revealed that by combining tetramethylammonium chloride (2 kg/h) with ethylene glycol (78 kg/h) reduced 7.26 tons of CO2 emissions/year through heat integration by saving 1.49*108 kJ/year energy besides minimizing operating costs. In conclusion, the systematic selection of ILs as green entrainers in combination with ethylene glycol and then the appropriate simulation of the whole system will ultimately reduce the cost of the separation process and reduce the emission of greenhouse gases as well utilization of toxic conventional entrainers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article