Experimental data, thermodynamic and neural network modeling of CO2 absorption capacity for 2-amino-2-methyl-1-propanol (AMP) + Methanol (MeOH) + H2O system

• Published in: Journal of natural gas science and engineering 2020-01, Vol.73, p.103060, Article 103060
• Main Authors: Pakzad, Peyman, Mofarahi, Masoud, Izadpanah, Amir Abbas, Afkhamipour, Morteza
• Format: Article
• Language: English
• Subjects: 2-Amino-2-methyl-1-propanol; Artificial neural network; CO2; Methanol; Thermodynamic models
• ISSN: 1875-5100
• DOI: 10.1016/j.jngse.2019.103060

In this study, new experimental data were reported for CO2 solubility in H2O + 2-amino-2-methyl-1-propanol (AMP) + methanol (MeOH) system by using a static-synthetic apparatus. The experiments were done in the temperature range of 313.15–353.15 K and the CO2 partial pressure range of 1.08–303.7 kPa. The concentrations (wt. %) of mixed AMP + MeOH were 8.2 + 41.2, 16.5 + 32.2, 22.3 + 27.7 and 30.6 + 19.4. Also, the density of the hybrid solvent was measured using a pycnometer similar to concentration and temperature ranges. To correlate the experimental CO2 solubility data, three different models namely modified Kent-Eisenberg, Deshmukh-Mather, and artificial neural network (ANN) were used. The density data were correlated by Redlich-Kister equation. The results showed that the ANN modeling with an average absolute relative deviation (AARD%) and a correlation coefficient (R2) of 1.95 and 0.9981, respectively, were in good agreement with the experimental CO2 loading data in comparison with other models. •Experimental data were reported for CO2 solubility into a hybrid solvent of AMP and MeOH.•Densities data were measured for hybrid solvent of AMP and MeOH.•Modified Kent-Eisenberg, Deshmukh-Mather, and ANN models used for prediction of solubility data.•The profiles of equilibrium concentration of species predicted.•The enthalpy changes of the CO2 absorption into a hybrid solvent of AMP and MeOH estimated.