Article
Estimation of CO2 Absorption by a Hybrid Aqueous Solution of Amino Acid Salt with Amine
Chemical Engineering & Technology
(2023)
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.
Keywords
- Amine,
- Amino acid salt,
- Artificial Intelligence,
- CO2 capture,
- Global Warming
Disciplines
Publication Date
Fall October, 2023
DOI
https://doi.org/10.1002/ceat.202200469
Citation Information
Farid Amirkhani, Amir Dashti, Hossein Abedsoltan and Amir H. Mohammadi. "Estimation of CO2 Absorption by a Hybrid Aqueous Solution of Amino Acid Salt with Amine" Chemical Engineering & Technology (2023) Available at: http://works.bepress.com/hossein-abedsoltan/16/