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Increasing importance of CO2 emission reduction cause necessity to find the most effective separation method of this gas from flue gases. The most promising seems to be a chemical absorption in aqueous solutions of alkanolamines. In order to reduce high energy consumption of this process, it is necessary to develop new solutions which will be characterized by the best absorption rate and capacity e.g. through the appropriate composition of amine blends. Experiments were carried out on the solutions containing primary amines, tertiary amines, sterically amines, cyclic amines and organic liquids. The experiments included CO2 absorption equilibriums and rate determination for temperature range 20-60 deg. C. The results showed a beneficial effect of using blends containing primary amines and sterically hindered amines with organic liquids on both the absorption rate and the absorption capacity. Andrzej Wilk

The use of chemical absorption with amine aqueous solutions has become of great interest as potential post-combustion CO2 removal process. In such processes, knowledge of solution equilibrium conditions is essential and is necessary to design CO2 treating equipment. Model of solubility of CO2 in N-methylidiethanolamine (MDEA) aqueous solution is presented. Model, based on well-known Kent-Eisenberg structure, was combined with neural network. Such combination forms hybrid neural network model. Neural network was used to determine amine protonation equilibrium constant and further was employed in hybrid neural network to predict equilibrium partial pressure of CO2 over MDEA aqueous solution in different temperatures and for various solution concentrations. Results show very good agreement between model and experimental data. Marcin Stec