纳滤
结垢
膜污染
水处理
盐(化学)
环境工程
环境科学
膜技术
反渗透
卤水
海水淡化
生物污染
生化工程
化学工程
工程类
化学
膜
生物化学
物理化学
有机化学
作者
Yueyu Liu,Jianfeng Ran,Qingjie Guo,Lili Gao,Shaohua Yin,Shiwei Li,Xiaobin Jiang,Ning Zhang,Guoli Zhou
出处
期刊:Desalination
[Elsevier]
日期:2024-04-19
卷期号:583: 117649-117649
被引量:3
标识
DOI:10.1016/j.desal.2024.117649
摘要
Nanofiltration (NF) technology plays a critical role in water treatment. However, membrane fouling has been identified as an inevitable challenge in this process. This article provides a comprehensive review based on three aspects, including fouling mechanisms, prediction methods, and treatment strategies. Firstly, the fundamental mechanisms and causes of membrane fouling are analyzed. Secondly, the applications of Computational Fluid Dynamics (CFD) and Artificial Neural Networks (ANN) in predicting membrane fouling are extensively discussed. Lastly, strategies for membrane pretreatment, cleaning, preparation, and application of antifouling membranes are summarized. Particularly, extending the analysis of membrane fouling from water treatment to the characteristics of membrane fouling in salt lakes brine provides important guidance for the further development of antifouling nanofiltration membranes tailored to the specific requirements of lithium extraction from salt lakes.
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