Experimental analysis and modeling of CO2 solubility in AMP (2-amino-2-methyl-1-propanol) at low CO2 partial pressure using the models of Deshmukh-Mather and the artificial neural network
The equilibrium solubility data for CO2 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 CO2 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 CO2 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 CO2 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 CO2 absorption and its accuracy is comparable with those of thermodynamic models which are used widely.
Compounds
#
Formula
Name
1
CO2
carbon dioxide
2
C4H11NO
2-amino-2-methylpropan-1-ol
3
H2O
water
Datasets
The table above is generated from the ThermoML associated json file (link above).
POMD and RXND refer to PureOrMixture and Reaction Datasets. The compound numbers are included in properties, variables, and phases, if specificied;
the numbers refer to the table of compounds on the left.