Abstract
Four developed machine learning algorithms are proposed to prognosticate the CO2 solubility in amino acid salt solutions, blended with amine solutions as additives, in broad ranges of temperature and pressure. From literature 375 experimental data points for CO2 solubility were collected. The results from the applied algorithms indicated that the CO2 solubility is estimated acceptably close to the experimental values. In the best case, the developed network estimates CO2 solubility in the stated solutions with an average relative deviation of 6.53 % and a correlation coefficient of 0.9892.
Recommended Citation
F. Amirkhani et al., "Estimation of Co2 Absorption by a Hybrid Aqueous Solution of Amino Acid Salt with Amine," Chemical Engineering and Technology, vol. 47, no. 2, pp. 253 - 261, Wiley; Gesellschaft Deutscher Chemiker; Gesellschaft für Chemische Technik und Biotechnologie, Feb 2024.
The definitive version is available at https://doi.org/10.1002/ceat.202200469
Department(s)
Chemical and Biochemical Engineering
Publication Status
Full Access
Keywords and Phrases
Amine; Amino acid salt; Artificial intelligence; CO capture 2; Global warming
International Standard Serial Number (ISSN)
1521-4125; 0930-7516
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Wiley; Gesellschaft Deutscher Chemiker; Gesellschaft für Chemische Technik und Biotechnologie, All rights reserved.
Publication Date
01 Feb 2024
