Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence
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 susta...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-08-01
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| Series: | Global Challenges |
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| Online Access: | https://doi.org/10.1002/gch2.202500235 |
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| author | Muhammad Mubashir Mustakeem Mustakeem Ammar Alnumani Abdulrahman Abutaleb Ali Hamoud Naji Sumayli Tausif Ahmad Muhammad Rizwan Azhar |
| author_facet | Muhammad Mubashir Mustakeem Mustakeem Ammar Alnumani Abdulrahman Abutaleb Ali Hamoud Naji Sumayli Tausif Ahmad Muhammad Rizwan Azhar |
| author_sort | Muhammad Mubashir |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a8bc8958d1984f2f9354a0b3d4fbd42d |
| institution | Kabale University |
| issn | 2056-6646 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Global Challenges |
| spelling | doaj-art-a8bc8958d1984f2f9354a0b3d4fbd42d2025-08-22T07:44:21ZengWileyGlobal Challenges2056-66462025-08-0198n/an/a10.1002/gch2.202500235Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial IntelligenceMuhammad Mubashir0Mustakeem Mustakeem1Ammar Alnumani2Abdulrahman Abutaleb3Ali Hamoud Naji Sumayli4Tausif Ahmad5Muhammad Rizwan Azhar6Water Technologies Innovation Institute & Research Advancement Saudi Water Authority WTIIRA‐SWA Jubail 35417 Saudi ArabiaWater Technologies Innovation Institute & Research Advancement Saudi Water Authority WTIIRA‐SWA Jubail 35417 Saudi ArabiaWater Technologies Innovation Institute & Research Advancement Saudi Water Authority WTIIRA‐SWA Jubail 35417 Saudi ArabiaWater Technologies Innovation Institute & Research Advancement Saudi Water Authority WTIIRA‐SWA Jubail 35417 Saudi ArabiaWater Technologies Innovation Institute & Research Advancement Saudi Water Authority WTIIRA‐SWA Jubail 35417 Saudi ArabiaDepartment of Chemical & Biological Engineering American University of Sharjah Sharjah 26666 UAESchool of Engineering Edith Cowan University 270 Joondalup Drive Joondalup Western Australia 6027 AustraliaAbstract 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.https://doi.org/10.1002/gch2.202500235artificial intelligence (AI)desalinationmembrane regenerationmembranes |
| spellingShingle | Muhammad Mubashir Mustakeem Mustakeem Ammar Alnumani Abdulrahman Abutaleb Ali Hamoud Naji Sumayli Tausif Ahmad Muhammad Rizwan Azhar Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence Global Challenges artificial intelligence (AI) desalination membrane regeneration membranes |
| title | Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence |
| title_full | Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence |
| title_fullStr | Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence |
| title_full_unstemmed | Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence |
| title_short | Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence |
| title_sort | smart and sustainable regeneration of fouled desalination membranes using artificial intelligence |
| topic | artificial intelligence (AI) desalination membrane regeneration membranes |
| url | https://doi.org/10.1002/gch2.202500235 |
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