Abstract
During the desalination process, scaling, fouling, and degradation are associated issues that lead to a drop in the separation performance of membranes. Membrane regeneration emerges as a critical technology in which upcycling and downcycling can offer a promising avenue for promoting sustainable membrane lifecycle management. Multiple research papers and reviews have critically analyzed the regeneration of membranes, which explains the end-of-cycle assessment and cost analysis of membrane recycling. However, challenges associated with the conventional and innovative regeneration processes are not yet analyzed. The potential impact of artificial intelligence (AI) on membrane regeneration is not explained in the literature. This review paper aims to explore the synergistic relationship between AI and membrane regeneration, elucidating the principles, challenges, opportunities, and emerging trends in this rapidly evolving field. By examining the role of AI techniques in enhancing the understanding, monitoring, and control of regeneration membrane processes, as well as their applications in optimizing regeneration strategies and addressing end-of-life considerations, this paper seeks to provide insights into the transformative potential of AI in reshaping the landscape of membrane regeneration.
RAS ID
83467
Document Type
Journal Article
Date of Publication
1-1-2025
School
School of Engineering
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Publisher
Wiley
Identifier
Muhammad Rizwan Azhar: https://orcid.org/0000-0002-5938-282X
Comments
Mubashir, M., Mustakeem, M., Alnumani, A., Abutaleb, A., Sumayli, A. H. N., Ahmad, T., & Azhar, M. R. (2025). Smart and sustainable regeneration of fouled desalination membranes using artificial intelligence. Global Challenges. Advance online publication. https://doi.org/10.1002/gch2.202500235