Recent Advances in Desalination Based on Membrane Technology
A special issue of Membranes (ISSN 2077-0375). This special issue belongs to the section "Membrane Applications".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 7064
Special Issue Editors
Interests: water desalination technologies; data visualization; computational fluid dynamics; machine learning; membrane desalination; feed spacer design; data science
Interests: membrane-based desalination; nanofiltration; brine management; solar desalination; energy recovery; carbon capture; electrolysis; process modeling; biomimetic and bioinspired membranes; nanofabrication
Special Issue Information
Dear Colleagues,
The importance of desalination toward humanity’s ability to produce high-quality freshwater sustainably and at a low cost cannot be overstated. Two-thirds of the global population live under severe water scarcity for at least one month a year. Desalination is a proven technology that helps alleviate water stress. Due to its high energy efficiency, membrane-based desalination has gained the limelight as a promising technology to source fresh water. Presently, Seawater Reverse Osmosis (SWRO) dominates the global desalination market based on the installed capacity and is replacing thermal technologies (MSF & MED). The process of desalting is still energy intensive and is associated with greenhouse gas emissions. Thus, there is an interest in improving existing technologies and exploring new disruptive technologies with higher efficiencies.
The special issue on "Recent Advances in Desalination Based on Membrane Technology" of the journal Membranes seeks contributions that explore the state-of-the-art in present desalination practice, emphasizing membrane-based technologies, while identifying future opportunities for improvements and development of potentially disruptive technologies through advances in science.
Dr. Adnan Qamar
Dr. Ratul Das
Guest Editors
Manuscript Submission Information
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Keywords
- membrane-based desalination
- nanofiltration
- solar desalination
- energy recovery
- process modeling
- machine learning
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