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Application of COSMO-RS and UNIFAC for ionic liquids based gas separation

•An IL-database is established for gas-IL systems, containing both experimental solubility data and Henry’s law constants of various gases in different ILs.•A corrected COSMO-RS based model is developed and can be used to generate additional pseudo-experimental activity coefficient of some light hyd...

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Bibliographic Details
Published in:Chemical engineering science 2018-12, Vol.192, p.816-828
Main Authors: Liu, Xinyan, Zhou, Teng, Zhang, Xiangping, Zhang, Suojiang, Liang, Xiaodong, Gani, Rafiqul, Kontogeorgis, Georgios M.
Format: Article
Language:English
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Summary:•An IL-database is established for gas-IL systems, containing both experimental solubility data and Henry’s law constants of various gases in different ILs.•A corrected COSMO-RS based model is developed and can be used to generate additional pseudo-experimental activity coefficient of some light hydrocarbons (C2H4, C2H6) in ILs.•UNIFAC-IL model is developed for the prediction of four-component shale gas solubility in ILs, indicating a very useful tool for task-specific design of ILs for gas separation. In recent years, due to their advantages on good stability, non-volatility, tunable viscosity and tailor-made properties, ionic liquids (ILs) have been regarded as novel potential solvents and alternative media for gas separation. However, the various cations and anions representing the ILs, together with limited experimental data, make it challenging to predict gas solubility in ILs and identify the optimal IL for a specific gas separation. In this work, a comprehensive Henry’s law constants database is first established for gas-IL which supplements an already established extensive gas solubility database. Because of the insufficient experimental data for both IL-C2H4 and IL-C2H6 systems, the COSMO-RS model is used after validation to generate additional pseudo-experimental data. Then, together with the sufficient experimental data of CO2-IL and CH4-IL systems, UNIFAC-IL is developed for the prediction of four-component shale gas (CH4, C2H4, C2H6, CO2) solubility in ILs. A relatively good agreement between the model predicted and the experimental solubility data is observed. Moreover, the developed UNIFAC-IL model can be used to predict the solubility of gases in new ILs that are not included in parameter fitting due to its group contribution basis. For this reason, the model represents a very useful tool for task-specific design of ionic liquids for gas separations.
ISSN:0009-2509
1873-4405
DOI:10.1016/j.ces.2018.08.002