Volume 6 Issue 3
Jun.  2021
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Ruisong Zhu, Zhigang Lei. COSMO-based models for predicting the gas solubility in polymers. Green Energy&Environment, 2021, 6(3): 311-313. doi: 10.1016/j.gee.2021.03.009
Citation: Ruisong Zhu, Zhigang Lei. COSMO-based models for predicting the gas solubility in polymers. Green Energy&Environment, 2021, 6(3): 311-313. doi: 10.1016/j.gee.2021.03.009

COSMO-based models for predicting the gas solubility in polymers

doi: 10.1016/j.gee.2021.03.009
  • We like to highlight the extension of COSMO-based models (COSMO RS-FV and COSMO SAC-FV) to the prediction of gas solubility in polymers, including polymerized ionic liquids (PILs) for the first time. To verify the applicability of COSMO-based models, the predicted values for gas solubility in both common polymers (CH4/N2 + PEG) and PILs (CO2 + P[MATMA][BF4]/P[VATMA][BF4]) were evaluated based on previous experimental data. It was confirmed that the COSMO-RS (Klamt) model performs better than the COSMO-SAC model for common polymers, whereas the COSMO-RS (ADF-Lei 2018) exhibits the best predictions for PILs. The moderately accurate predictions of COSMO-based models demonstrate the high potential for predicting gas solubility in polymers.

     

    The COSMO-RS (ADF-Lei 2018) model was applied to predict the CO2 solubility in PILs. Based on the structure optimizations of CO2 and PILs, the COSMO-RS (ADF-Lei 2018) model gives relatively accurate predictions in comparison with the experimental data. As a priori method, the COSMO-RS model could predict the phase behavior of polymer solutions including PILs without using any experimental data.

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