High CO2 solubility, permeability and selectivity in ionic liquids with the tetracyanoborate anion

RSC Advances ◽  
2012 ◽  
Vol 2 (31) ◽  
pp. 11813 ◽  
Author(s):  
Shannon M. Mahurin ◽  
Patrick C. Hillesheim ◽  
Joshua S. Yeary ◽  
De-en Jiang ◽  
Sheng Dai
Keyword(s):  
Ionic Liquids ◽  
Co2 Solubility ◽  
High Co2

Eutectic ionic liquid mixtures and their effect on CO2 solubility and conductivity

RSC Advances ◽  
2015 ◽  
Vol 5 (63) ◽  
pp. 51407-51412 ◽  
Author(s):  
Anna S. Ivanova ◽  
Thomas Brinzer ◽  
Elliot A. Roth ◽  
Victor A. Kusuma ◽  
John D. Watkins ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Ionic Liquids ◽  
Binary System ◽  
Liquid Mixtures ◽  
Short Chain ◽  
Co2 Solubility

A simple binary system of compounds resembling short-chain versions of popular ionic liquids has been shown to have alloying properties.

scholarly journals Prediction of CO2 Solubility in Ionic Liquids Based on Multi-Model Fusion Method

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 258 ◽  
Author(s):  
Luyue Xia ◽  
Jiachen Wang ◽  
Shanshan Liu ◽  
Zhuo Li ◽  
Haitian Pan
Keyword(s):  
Ionic Liquids ◽  
Information Entropy ◽  
Research Work ◽  
Entropy Method ◽  
Modeling Method ◽  
Least Square ◽  
Fusion Model ◽  
Co2 Solubility ◽  
Model Fusion ◽  
Better Than

Reducing the emissions of greenhouse gas is a worldwide problem that needs to be solved urgently for sustainable development in the future. The solubility of CO2 in ionic liquids is one of the important basic data for capturing CO2. Considering the disadvantages of experimental measurements, e.g., time-consuming and expensive, the complex parameters of mechanism modeling and the poor stability of single data-driven modeling, a multi-model fusion modeling method is proposed in order to predict the solubility of CO2 in ionic liquids. The multiple sub-models are built by the training set. The sub-models with better performance are selected through the validation set. Then, linear fusion models are established by minimizing the sum of squares of the error and information entropy method respectively. Finally, the performance of the fusion model is verified by the test set. The results showed that the prediction effect of the linear fusion models is better than that of the other three optimal sub-models. The prediction effect of the linear fusion model based on information entropy method is better than that of the least square error method. Through the research work, an effective and feasible modeling method is provided for accurately predicting the solubility of CO2 in ionic liquids. It can provide important basic conditions for evaluating and screening higher selective ionic liquids.

Dispelling some myths about the CO2 solubility in ionic liquids

2016 ◽  
Vol 18 (22) ◽  
pp. 14757-14771 ◽  
Author(s):  
P. J. Carvalho ◽  
K. A. Kurnia ◽  
J. A. P. Coutinho
Keyword(s):  
Ionic Liquids ◽  
Co2 Solubility ◽  
High Solubility

ILs are not very good solvents for CO2. The apparent high solubility results from their high Mw and not from any special capability to dissolve CO2.

Prediction of CO2 solubility in ionic liquids with QM and UNIQUAC models

2016 ◽  
Vol 222 ◽  
pp. 195-200 ◽  
Author(s):  
Amin Kamgar ◽  
Mohammad Reza Rahimpour
Keyword(s):  
Ionic Liquids ◽  
Co2 Solubility

Deep eutectic solvents composed of bio-phenol-derived superbase ionic liquids and ethylene glycol for CO2 capture

2022 ◽  
Author(s):  
Ze Wang ◽  
Zonghua Wang ◽  
Huang Xin ◽  
Dezhong Yang ◽  
Congyi Wu ◽  
...  
Keyword(s):  
Ionic Liquids ◽  
Ethylene Glycol ◽  
Co2 Capture ◽  
Deep Eutectic Solvents ◽  
High Co2

Deep eutectic solvents (DESs) formed by bio-phenol-derived superbase ionic liquids (ILs) and ethylene glycol (EG) perform a high CO2 capacity, up to 1.0 mol CO2/ mol DESs, which is much...

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