Quantitative structure-activity relationships (QSARs) for estimation of activity coefficient at infinite dilution of water in ionic liquids for natural gas dehydration

被引：30

作者：

Gonfa, Girma ^{[1
]}

Bustam, Mohamad Azmi ^{[1
]}

Shariff, Azmi M. ^{[1
]}

Muhammad, Nawshad ^{[2
]}

Ullah, Sami ^{[1
]}

机构：

[1] Univ Teknol PETRONAS, Res Ctr Capture CO2, Tronoh 31750, Perak, Malaysia

[2] COMSATS Inst Informat Technol, Interdisciplinary Res Ctr Biomed Mat, Lahore, Pakistan

来源：

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS | 2016年 / 66卷

关键词：

Ionic liquids; COSMO-RS; QSPR; Activity coefficients; Natural gas; Dehydration; COSMO-RS; PREDICTION; DESIGN; MIXTURES; MODEL; TOOL; TEG;

D O I：

10.1016/j.jtice.2016.06.027

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Recently, ionic liquids (ILs) have been considered as alternative solvents to glycol in dehydration of natural gas. However, due to the unlimited structural variations and possible combinations of cations and anions of the ILs, selection of potential ILs for this separation process has been a difficult task. Activity coefficient at infinite dilution is one of the most important thermodynamic properties for preliminary selection of suitable liquid desiccants for water absorption and designing of the natural gas dehydration process. In this paper, COSMO-RS based quantitative structure-property/activity relationship (QSPR/QSAR) models were developed for prediction of activity coefficient of water at infinite dilution in ILs over various temperatures. COSMO-RS based descriptors were generated for 53 ILs (318 data points) at various temperatures. Multiple linear regressions were applied to develop the models. The accuracies of the models were verified by different statistical tests. The model provides a better understanding of the effect of the structural variations of ILs on their affinity for water. (C) 2016 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

引用

页码：222 / 229

页数：8

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