Molecular investigation of amine performance in the carbon capture process: Least squares support vector machine approach

• Published in: The Korean journal of chemical engineering Vol. 37; no. 1; pp. 72 - 79
• Main Authors: Rezaei, Bijan, Riahi, Siavash, Gorji, Ali Ebrahimpoor
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2020; Springer Nature B.V; 한국화학공학회
• Subjects: Amines; Biotechnology; Carbon sequestration; Catalysis; Chemistry; Chemistry and Materials Science; Correlation coefficients; Criteria; Density functional theory; Energy costs; Environmental Engineering; Industrial Chemistry/Chemical Engineering; Materials Science; Mathematical models; Molecular structure; Optimization; Parameters; Reaction mechanisms; Regeneration; Statistical tests; Support vector machines; 화학공학; QSPR; Amine; LS-SVM; Carbon Capture; Cyclic Capacity
• ISSN: 0256-1115; 1975-7220
• DOI: 10.1007/s11814-019-0408-6

The growing threat of global warming has raised more attention towards carbon capture. Current amine plants used for carbon removal suffer from great costs inflicted by high energy demand of the solvent regeneration step. Recently, looking for amines with proper performance in reduced temperatures h...