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Technology development and applications of artificial intelligence for post-combustion carbon dioxide capture: Critical literature review and perspectives.
- Source :
- International Journal of Greenhouse Gas Control; Jun2021, Vol. 108, pN.PAG-N.PAG, 1p
- Publication Year :
- 2021
-
Abstract
- [Display omitted] • The paper discusses research progress and future directions on solvent development for post-combustion carbon capture processes 2015-2020. • The paper reviews research related to solvent chemistry, including solubility, reaction kinetics, magnetic resonance for ion specification. • The paper presents studies on development of catalyst, enhancement of current solvents with the aid of catalysts, and alternative solvents. • The paper discusses research on the electrochemically mediated amine regeneration process and applications of AI to carbon capture processes. The research conducted in the last five years can potentially paint a picture of the next generation's research related to solvent development for post-combustion carbon dioxide capture. This paper presents a comprehensive summary of the research work in this field conducted in the period from 2015 to 2020. The work includes research efforts in the areas of: (i) solvent chemistry, which refers to the work conducted on solubility, reaction kinetics, nuclear magnetic resonance or NMR analysis for ion speciation, and alternative solvents, (ii) development of amine solvents, which includes development of catalyst and enhancement of current solvents with the aid of catalysts, (iii) a novel regeneration process called Electrochemically Mediated Amine Regeneration, and (iv) applications of artificial intelligence technologies to the carbon dioxide capture process. The paper can be considered an update discussion and summary of the research work conducted in diverse areas related to solvent development for post-combustion carbon dioxide capture since our review of the research area published in 2015. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17505836
- Volume :
- 108
- Database :
- Supplemental Index
- Journal :
- International Journal of Greenhouse Gas Control
- Publication Type :
- Academic Journal
- Accession number :
- 150018593
- Full Text :
- https://doi.org/10.1016/j.ijggc.2021.103307