Separation of benzene from methylcycloalkanes by extractive distillation with cyano-based ionic liquids: Experimental and CPA EoS modelling
authors Ayuso, M; Navarro, P; Palma, AM; Larriba, M; Delgado-Mellado, N; Garcia, J; Rodriguez, F; Coutinho, JAP; Carvalho, PJ
nationality International
journal SEPARATION AND PURIFICATION TECHNOLOGY
author keywords Ionic liquids; Aromatic/aliphatic separation; Extractive distillation; HS-GC; CPA EoS
keywords EQUATION-OF-STATE; RECOVERY SECTION; PILOT-PLANT; AROMATICS; EQUILIBRIA; PLUS; CYCLOHEXANE; TOLUENE; DESIGN; DEAROMATIZATION
abstract The aromatic/aliphatic separation using ionic liquids (ILs) has been proposed as an enhanced technology when compared to conventional liquid-liquid extraction and extractive distillation processes. Some ILs show extractive properties (distribution ratios and selectivities) greater than those of conventional solvents, like sulfolane and N-methylpyrrolidone, positioning these solvents to address challenging separations. Methylcycloalkanes and benzene are close-boiling mixtures in the petrochemical industry, presented at the hydrogenated pyrolysis naphtha where benzene is at a high concentration (ca. 70 wt%). Aiming to tackle this separation, cyano-based ILs were tested as mass agents in the benzene separation from methylcycloalkanes. A complete phase equilibria characterization with the most promising ILs, [C(2)C(1)im] [DCA] and [C(2)C(1)im][SCN], were done, using a recently developed experimental-modelling strategy. Isothermal vapour-liquid equilibria for binary, ternary and quaternary systems was measured by Headspace Gas-Chromatography (HS-GC) and modelled using the Cubic Plus Association (CPA) Equation of State (EoS). The presence of the ILs improved the methylcycloalkane/benzene relative volatilities by one order of magnitude, whereas homogeneous and heterogeneous regions were determined by HS-GC, leading to a consistent model.
publisher ELSEVIER
issn 1383-5866
isbn 1873-3794
year published 2020
volume 234
digital object identifier (doi) 10.1016/j.seppur.2019.116128
web of science category Engineering, Chemical
subject category Engineering
unique article identifier WOS:000491627200060
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journal analysis (jcr 2019):
journal impact factor 5.774
5 year journal impact factor 5.257
category normalized journal impact factor percentile 89.161
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