Abstract
In this study, an experimental setup based on the static-synthetic method was used to measure the new experimental data of CO2 solubility in an aqueous solution of 2-amino-2-methyl-1-propanol (AMP) + N-methyl-2-pyrrolidone (NMP) solution. For the static-synthetic method, the mass balance of compositions and the pressure–volume–temperature conditions were used for measuring the amount of absorbed CO2 by the AMP+NMP solution. The measurements were performed over a temperature range of 313.15–353.15 K, CO2 partial pressure up to 316.7 kPa, and in different concentrations of the AMP+NMP solution. Two models, modified Kent–Eisenberg, and Deshmukh–Mather, based on the empirical correlations and activity-fugacity approach, respectively, were used for the prediction of experimental data. The parameters of the equilibrium constants of the protonation and carbamate reactions for the modified Kent–Eisenberg model and the interaction parameters for Deshmukh–Mather model were obtained. For validation of our setup, a new set of experimental data for the solubility of CO2 in an aqueous solution of AMP, methyldiethanolamine (MDEA) and diethanolamine (DEA) were measured and compared with existing experimental data in the literature, and good results were obtained. The results of the modeling study showed that the Deshmukh–Mather model gave a better prediction of experimental CO2 loadings data than the modified Kent–Eisenberg. Also, the results showed that the solubility of CO2 in an aqueous solution of AMP+NMP increases as the CO2 partial pressure increases while the temperature decreases.
Original language | English |
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Pages (from-to) | 365-376 |
Number of pages | 12 |
Journal | Chemical Engineering Science |
Volume | 175 |
DOIs | |
Publication status | Published - 2018 Jan 16 |
Bibliographical note
Funding Information:We thank the Persian Gulf University and Converged Energy Materials Research Center, Yonsei University for financial support, for providing various facilities, and for necessary approval.
Publisher Copyright:
© 2017 Elsevier Ltd
All Science Journal Classification (ASJC) codes
- Chemistry(all)
- Chemical Engineering(all)
- Industrial and Manufacturing Engineering