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Characterizing the carbon dioxide absorption process of ionic liquids by an entropic method

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Abstract

The reduction of CO2 emissions is greatly needed in the context of global warming. Among all technologies for reducing CO2 concentrations, the capture of CO2 with ionic liquids is a good candidate, especially in industry. In this study, a mathematical expression for characterizing the temporal evolution of the CO2 absorption amount of an ionic liquid is derived using the probability method based on two entropy functions: Shannon entropy and general index entropy. Both the Shannon entropy and general index entropy lead to the same entropic expression, which can model the CO2 absorption process as the absorption time advances from null to infinity. Its accuracy is validated by comparison with ten experimental datasets with a high average correlation coefficient value of 0.983, a low relative bias value of 0.054 and a low relative root mean square error value of 0.134. Moreover, the proposed maximum CO2 absorption capacity in the entropic model is presented to be a function of some factors, including the type of ionic liquid, temperature, gas flow rate, and water content. This derived entropic model has a simple mathematical form, showing its potential to predict the temporal variation in the CO2 absorption amount under some conditions of interest as long as the type of ionic liquid, temperature, gas inflow rate and water content are provided from limited datasets.

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  1. Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China

    Zhongfan Zhu

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  1. Zhongfan Zhu
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Zhu, Z. Characterizing the carbon dioxide absorption process of ionic liquids by an entropic method. Stoch Environ Res Risk Assess 36, 511–541 (2022). https://doi.org/10.1007/s00477-021-02107-9

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