Artificial intelligence enabled carbon capture: A review.

Journal: The Science of the total environment
Published Date: May 5, 2023

Abstract

Carbon capturing is imperative to fight climate change as much carbon emissions are liberated into the atmosphere, leading to adversely negative environmental impacts. Today's world addresses all the issues with the aid of digital technologies like data pooling and artificial intelligence (AI). Accordingly, this study is articulated based on AI-assisted carbon capturing. Techniques including machine learning (ML), deep learning (DL), and hybrid techniques being adopted in carbon capture are discussed. The role of AI tools, frameworks, and mathematical models are also discussed herein. Furthermore, the confluence of AI in carbon capture patent landscape is explored. This study would allow researchers to envision the growth of AI-assisted carbon capture in mitigating climate change and meeting SDG 13 - climate action.

Authors

  • A K Priya
    Department of Civil Engineering, KPR Institute of Engineering and Technology, Coimbatore, 641407 Tamil Nadu, India.
  • Balaji Devarajan
    Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Tamilnadu, India.
  • Avinash Alagumalai
    Department of Chemical and Petroleum Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta T2N 1N4, Canada. Electronic address: avinashandromeda@gmail.com.
  • Hua Song
    School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan, China.

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