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Analysis of equilibrium CO2 solubility in aqueous APDA and its potential blends with AMP/MDEA for postcombustion CO2 capture
Authors:Anirban Dey  Bishnupada Mandal  Sukanta K Dash
Affiliation:1. Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

CO2 Research Group, Department of Chemical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, India;2. Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, India;3. CO2 Research Group, Department of Chemical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, India

Abstract:The utility of polyamine-based solvent-activators for the possible application in postcombustion CO2 capture technology has drawn considerable attention recently owing to its higher loading capacity as well as superior kinetics. The current work involves a comprehensive experimental cum theoretical investigation on the equilibrium solubility of CO2 pertaining to aqueous N-(3-aminopropyl)-1,3-propanediamine and its blends with N-methyldiethanolamine and 2-amino-2-methyl-1-propanol. The analysis was conducted within the operating temperature and CO2 partial pressure range of 303.2-323.2 K and 2-200 kPa, respectively. Two different mathematical models based on nonrigorous approaches such as equilibrium based modified Kent-Eisenberg (KE) model and a multilayer feedforward neural network model have been developed to correlate the CO2 solubility data over a wide range of experimental conditions. Both the model predictions are well-validated with the experimental results. The reaction scheme as well as the prevalence of important reaction products was further confirmed with qualitative 13C NMR as well as ATR-FTIR analysis. Apart from these some of the important thermally induced transport properties viz, density, viscosity, and surface tension of the aqueous single and blended systems were measured and correlated with various consistent empirical models such as Redlich-Kister and Grunberg-Nissan model while surface tension data are modeled using temperature-based multiple linear regression technique.
Keywords:AMP  APDA  CO2 capture  MDEA  solubility-modeling
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