Correlation comparison for prediction of density and viscosity of aqueous 2-(ethylamino)ethanol (EAE) for carbon capture

• Published in: IOP conference series. Earth and environmental science Vol. 1074; no. 1; pp. 12021 - 12026
• Main Authors: Ramadhan, Romal, Maneeintr, Kreangkrai
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2022
• Subjects: Absorption; Carbon dioxide; Carbon dioxide removal; Carbon sequestration; Density; Deviation; Empirical equations; Ethanol; Gas streams; Molar volume; Polynomials; Technology; Viscosity; Working conditions
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/1074/1/012021

Abstract Aqueous amine solution for carbon dioxide (CO 2 ) removal from absorption technology such as aqueous 2-(ethylamino)ethanol (EAE), is the effective technology to capture CO 2 from gas stream. Also, the density and viscosity are the important properties for the design of absorption system. The correlations to predict these properties are developed. The objectives of this work are to apply the existing correlations and to examine the correlation comparison such as the Redlich–Kister equation, Wilson model and empirical polynomial correlation to predict these properties. The measured results of viscosity and density come from the previous study. The measurement data are used to determine the excess molar volumes and viscosity deviations, which are then correlated as a function of the mass fraction and temperature by using non-linear regression method. The temperature and concentration of this study are ranging from 293.15 to 323.15 K and 0.05 – 0.30 mass fraction, respectively. The results of this work show that, among these three correlations, the Redlich–Kister equation is the most appropriate model that best corresponded with the experimental results because it can provide the lowest average absolute deviation compared with the experimental results. This model yields percent deviations of 0.054 % for density and 0.350 % for viscosity. This model can be used to predict these properties for the range of working conditions.