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In this work, the potential application of Artificial Neural Network (ANN) was studied to predict the absorption of Carbon Dioxide (CO2) in Ionic Liquid (IL) solutions over wide-ranging operating conditions. A few physical properties had been chosen as input data which were temperature, partial pressure of CO2, molecular weight, acentric value, critical temperature and critical pressure of IL. A sample...
The removal of carbon dioxide (CO2) can be achieved by a number of techniques, among which absorption into aqueous alkanolamines is recognized as a commercially viable option for absorbing from high volume gas streams. In this present work, mass-transfer characteristics of blended Monoethanolamine and 2-Amino-2-methyl-1-propanol (MEA-AMP) solution are studied in a bench-scale absorber packed with...
Carbon dioxide (CO2) is the largest contributor among greenhouse gases (GHGs) in terms of emissions. Capturing CO2 from industrial gas stream by aqueous alkanolamine solution is the most cost-effective technology available today. Monoethanolamine (MEA) has been commonly used in gas processing industry for decades. In recent years, a sterically hindered amine, 2-amino-2-methyl-1-propanol (AMP), has...
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