Liquid amine-based CO2 capture: A review of absorbent systems innovation, multi-scenario applications, and machine learning-assisted optimization

Key Points

• CO2 capture innovations are essential for reducing greenhouse gas emissions, supporting climate change mitigation efforts.
• Machine learning techniques improve the efficiency and effectiveness of absorbent systems in various applications.
• Assessment across multiple scenarios reveals diverse applications of liquid amine-based CO2 capture methods.
• Highlights need for collaboration among technology developers and researchers to optimize current systems.