Application of artificial intelligence on the CO2 capture: a review

Unleashing greenhouse gases especially CO2 has been proven to be detrimental in many aspects both globally and individually. Numerous techniques and models have been developed so far to achieve the best-matched outputs in terms of their coincidence to the empirical data. Among them, those which are based on artificial intelligence have gained more attention on the account of their outstanding potential to decode the relationships between inputs and outputs. The selection of the best AI-based technique for implementation of the CO2 approaches is fairly vital as it plays a crucial role to yield the most accurate results. This article has been assigned to scrutinize a relatively broad range of AI-based techniques by reviewing research works which were used to carry out CO2 capture to fully understand and compare their advantages and disadvantages and throw light on promising research areas.

Automated summary

This article examines a wide range of AI-based techniques for CO2 capture, emphasizing the importance of selecting the best technique to achieve accurate results. The research compares the advantages and disadvantages of different techniques and highlights promising areas for future study.