Experimental analysis and modeling of CO_2 solubility in AMP (2-amino-2-methyl-1-propanol) at low CO_2 partial pressure using the models of Deshmukh-Mather and the artificial neural network

摘要

The equilibrium solubility data for CO_2 in aqueous solution of AMP have been determined at temperatures from 293 K to 323 K, partial pressures from 17.47 kPa to 69.87 kPa and concentrations of AMP from 1 M to 4 M. The experimental results show that the solubility of CO_2 in AMP increases with partial pressure and decreases with temperature and concentration of solvent. Two different mathematical models have been used to analyze the solubility of CO_2 in AMP including those of Deshmukh-Mather and the artificial neural network. The modeling results indicate that the neural network modeling provides a better prediction of experimental CO_2 loadings than the Deshmukh-Mather model when compared with experimental results in this work. Therefore, this new modeling method can be useful in predicting the results of CO_2 absorption and its accuracy is comparable with those of thermodynamic models which are used widely.