Graduate School of Water Resources, Sungkyunkwan University (SKKU), 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, South Korea.
Water Desalination and Reuse Center (WDRC), Biological and Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Water Res. 2021 Jun 1;197:117098. doi: 10.1016/j.watres.2021.117098. Epub 2021 Apr 1.
Forward osmosis process in emerging technology which can applicable in wastewater reuse and desalination simultaneously. In this study, the development of fouling on the FO membrane surface was monitored in real-time. The investigation of fouling layer physical and chemical characteristics was assessed by performance evaluation and in-depth analysis of fouling layer. Non-invasive visual monitoring and in-depth autopsy, combined with the performance and image analyses provided a better understanding of fouling phenomena. The relative roughness of the fouling layer was correlated with water flux decrease while the fouling layer thickness decreased rapidly when fouling was stabilized. From 66-day operation using the primary wastewater as the feed, membrane fouling development was classified into 4 phases: virgin performance, initial deposition, stabilization and aggregation. With the growing fouling layer and with aggregation, the removal rate of organic matter was reduced from 99 to 70%. Conversely, the removal rate of inorganic matter was maintained at a level higher than 90%. The fractionation of physical and chemical extraction had the following characteristics: TPI>HPI>HPO and HPI>TPI>HPO respectively. Also, low molecular weight and building blocks like organic matter were observed with a high composition ratio of fouling layer. Through the correlation between the process performance, real-time monitoring of fouling layer formation and deep-layer fouling analysis, it was possible to identify the major membrane contaminants and propose process optimization guidelines.
正向渗透技术是一种新兴的技术,可以同时应用于废水再利用和海水淡化。在本研究中,实时监测了 FO 膜表面的结垢发展情况。通过性能评估和对污垢层的深入分析,对污垢层的物理化学特性进行了评估。非侵入性的可视化监测和深入的尸检,结合性能和图像分析,提供了对结垢现象的更好理解。结垢层的相对粗糙度与水通量的降低有关,而当结垢稳定时,结垢层的厚度迅速减小。在使用原废水作为进料的 66 天运行中,膜污染发展分为 4 个阶段:初始性能、初始沉积、稳定和聚集。随着结垢层的不断增加和聚集,有机物的去除率从 99%降低到 70%。相反,无机物的去除率保持在 90%以上。物理和化学萃取的分级具有以下特点:TPI>HPI>HPO 和 HPI>TPI>HPO。此外,还观察到污垢层中含有大量的低分子量和有机物质的组成部分。通过过程性能、污垢层形成的实时监测和深层污垢分析之间的相关性,可以确定主要的膜污染物,并提出工艺优化指南。