Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends

Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends

Cryogenic carbon capture (CCC), a promising technology for the sequestration of CO2 from natural gas streams, relies on the CO2 frost formation at cryogenic temperatures. Precise estimation of the CO2 frost formation temperature (FFT) is vital for optimizing CCC processes and maximizing efficiency....

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Bibliographic Details
Main Authors: Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Journal of CO2 Utilization
Subjects:
Cryogenic carbon capture
Frost formation temperature (FFT)
Natural gas blends
Machine learning algorithms
Intelligent modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2212982025000368
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