Toward Modeling the Aromatic/Aliphatic Separation by Extractive Distillation with Tricyanomethanide-Based Ionic Liquids Using CPA EoS
authors Ayuso, M; Navarro, P; Palma, AM; Larriba, M; Delgado-Mellado, N; Garcia, J; Rodriguez, F; Coutinho, JAP; Carvalho, PJ
nationality International
journal INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
keywords EQUATION-OF-STATE; PYROLYSIS GASOLINES; RECOVERY SECTION; BINARY-MIXTURES; NAPHTHA FEED; N-HEPTANE; AROMATICS; TOLUENE; PLUS; EQUILIBRIA
abstract Extractive distillation using tricyanomethanide-based ionic liquids (ILs) has been shown to be a promising and feasible process for effectively separate aromatics from pyrolysis gasolines. The high performance of these mass agents has been reported by evaluating simple synthetic n-heptane/toluene binary mixtures, on a wide temperature and solvent to feed (S/F) ratio ranges. However, industrial streams are much more complex with the presence of other aromatic and aliphatic compounds, like benzene, xylenes, and shorter and longer linear alkanes, creating further difficulties to the separation and thus must be studied. This work covers the phase equilibrium characterization of {n-hexane + benzene + IL} and {n-octane + p-xylene + IL} ternary systems with two tricyanomethanide-based ILs, namely 1-ethyl-3-methylimidazolium tricyanomethanide ([C(2)C(1)im][TCM]) and 1-butyl-4-methylpyridinium tricyanomethanide ([4-C(4)C(1)py][TCM]), addressing also the phase characterization of the corresponding {hydrocarbon + IL} binary systems. The phase equilibria were determined by headspace gas chromatography (HS-GC) in a wide range of hydrocarbon compositions, temperatures and S/F ratios and modeled using the Cubic Plus Association (CPA) Equation of State (EoS). This is the first work proposing a consistent EoS model for a multicomponent separation case involving ILs, demonstrating its suitability for a wide range of conditions in binary and ternary systems.
publisher AMER CHEMICAL SOC
issn 0888-5885
year published 2019
volume 58
issue 42
beginning page 19681
ending page 19692
digital object identifier (doi) 10.1021/acs.iecr.9b04440
web of science category Engineering, Chemical
subject category Engineering
unique article identifier WOS:000500349200034
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journal analysis (jcr 2019):
journal impact factor 3.573
5 year journal impact factor 3.684
category normalized journal impact factor percentile 69.58
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