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Estimation of CO2 Absorption by a Hybrid Aqueous Solution of Amino Acid Salt with Amine.

  • Published In: Chemical Engineering & Technology, 2024, v. 47, n. 2. P. 253 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Amirkhani, Farid; Dashti, Amir; Abedsoltan, Hossein; Mohammadi, Amir H. 3 of 3

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. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Chemical Engineering & Technology. 2024/02, Vol. 47, Issue 2, p253
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:0930-7516
  • DOI:10.1002/ceat.202200469
  • Accession Number:175057151
  • Copyright Statement:Copyright of Chemical Engineering & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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