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Experimental investigations and the modeling approach for CO2 solubility in aqueous blended amine systems of monoethanolamine, 2-amino-2-methyl-1-propanol, and 2-(butylamino)ethanol

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Abstract

In this work, new CO2 solubility data on three types of aqueous amine blends were reported to complement existing databases. The experiments were conducted at temperatures of 313 K (absorption condition) and 363 K (desorption condition). The effect of the MEA concentration on the CO2 solubility in several amine blends at low CO2 partial pressure (8 to 50.65 kPa) were studied in this work, including 0.1, 0.3, 0.5 mol/L MEA + 2 mol/L AMP; 0.1, 0.3, 0.5 mol/L MEA + 2 mol/L BEA; and 0.1, 0.3, 0.5 mol/L MEA + 1, 2 mol/L AMP + 1, 2 mol/L BEA. Besides, an additional group of equilibrium CO2 solubility data were conducted at 298 K in order to estimate the heat of CO2 absorption of the blended solvents at a temperature range from 298 to 313 K. A new simplified Kent-Eisenberg model was developed for the predictions of blended solvents, and a multilayer neural network model with Levenberg–Marquardt backpropagation algorithm was developed upon five hundred reliable published experimental data. The predictions from two methods are both in good agreement with the experimental CO2 solubility data.

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Abbreviations

\({P}_{{\mathrm{CO}}_{2}}\) :

CO2 partial pressure, kPa

T :

Operating temperature, K or °C

X :

The overall concentration of the amine in the solvent, wt.%

X MEA :

Weight fraction of MEA, wt.%

X AMP :

Weight fraction of AMP, wt.%

X BEA :

Weight fraction of BEA, wt.%

MW a :

Apparent molecular weight, g/mol

MEA:

Monoethanolamine

AMP:

2-Amino-2-methyl-1-propanol

BEA:

2-(Butylamino)ethanol

CO2 :

Carbon dioxide

Y i :

The normalized training and testing data sets

x i :

The training and testing data sets

x min :

The minimum values of variable

x max :

The maximum values of variable

%AAD:

The absolute average deviation, %

R 2 :

The correlation coefficient

MSE:

The mean square errors

EXP:

Exponential function

Α :

CO2 loading, molCO2/molamine

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Acknowledgements

The generous support of the Natural Science and Engineering Research Council of Canada (NSERC) is gratefully acknowledged. The editorial help of Angel Charles is also gratefully acknowledged.

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Authors and Affiliations

  1. Clean Energy Technologies Research Institute (CETRI), University of Regina, Regina, SK, Canada

    Tianci Li, Congning Yang, Puttipong Tantikhajorngosol, Teerawat Sema & Paitoon Tontiwachwuthikul

  2. Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand

    Teerawat Sema

  3. Department of Environmental Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People’s Republic of China

    Huancong Shi

  4. Huzhou Institute of Zhejiang University, Huzhou, Zhejiang, 313000, People’s Republic of China

    Huancong Shi

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  1. Tianci Li
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  2. Congning Yang
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Contributions

Li T. and Yang C. conducted the research; Li T. wrote the paper; Li T. conducted the literature study; Sema T., Tantikhajorngosol P., Shi H., and Tontiwachwuthikul P. revised the paper.

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Correspondence to Huancong Shi or Paitoon Tontiwachwuthikul.

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Li, T., Yang, C., Tantikhajorngosol, P. et al. Experimental investigations and the modeling approach for CO2 solubility in aqueous blended amine systems of monoethanolamine, 2-amino-2-methyl-1-propanol, and 2-(butylamino)ethanol. Environ Sci Pollut Res 29, 69402–69423 (2022). https://doi.org/10.1007/s11356-022-20411-x

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