Boosting CO2 capture efficiency of the exhausted RFCC flue gas by using intercooler exchangers: Leveraging ANN in MDEA-based approach

This study investigates the simultaneous capture of carbon dioxide (CO₂) and sulfur dioxide (SO₂) from residue fluid catalytic cracking (RFCC) flue gas using Methyldiethanolamine (MDEA) as an absorbent in a post-combustion capture system. The proposed system offers an effective solution for refineri...

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Автори:	S. Masoud Hosseini, Roja P. Moghadam, Ali Afshar Ebrahimi
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2025-05-01
Серія:	Journal of CO2 Utilization
Предмети:	Carbon capture Residue fluid catalytic cracking (RFCC) Methyldiethanolamine (MDEA) Artificial Neural Network (ANN)
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2212982025000757
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