Mineral scale monitoring for reverse osmosis desalination via real-time membrane surface image analysis

Mineral scale monitoring for reverse osmosis desalination via real-time membrane surface image analysis
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DOI:
10.1016/j.desal.2010.10.021
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发表时间:
2011-06-01
期刊:
影响因子:
9.9
通讯作者:
Cohen, Yoram
Cohen, Yoram
中科院分区:
工程技术2区
文献类型:
--
作者:
Bartman, Alex R.;Lyster, Eric;Cohen, Yoram

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使用异位直接观察膜监测器 (MeMo) 开发了一种实时分析反渗透 (RO) 膜上矿物质垢形成的方法。此类监测的目的是发出矿物结垢开始的信号并提供定量信息,以便适当地启动系统清洁/结垢溶解。上述功能是通过设置 MeMo 操作条件(横流速度和跨膜压力)以紧密匹配受监控的膜设备(例如尾部 RO 元件)中的条件来实现的,以便模拟受监控的 RO 设备元件内部发生的表面结垢过程。 MeMo 系统中的矿物垢通过比较膜表面的连续图像进行监测,以确定矿物盐晶体的覆盖分数的演变以及监测区域中相应的晶体计数。通过在线图像分析,一旦确定晶体生长高于规定阈值,就可以启动任意数量的清洁方案。通过当前监测方法实现的膜结垢的早期检测(即,在观察到渗透通量下降之前),系统操作员可以防止不可逆的膜损坏和系统生产力损失。 (C) 2010 Elsevier B.V. 保留所有权利。
An approach to real-time analysis of mineral scale formation on reverse osmosis (RO) membranes was developed using an ex-situ direct observation membrane monitor (MeMo). The purpose of such monitoring is to signal the onset of mineral scaling and provide quantitative information in order to appropriately initiate system cleaning/scale dissolution. The above is enabled by setting the MeMo operating conditions (cross flow velocity and transmembrane pressure) to closely match the conditions in the monitored membrane plant (e.g., in the tail RO element) in order to mimic the surface scaling processes taking place inside the monitored RO plant element. Mineral scale in the MeMo system is monitored by comparison of consecutive images of the membrane surface for the purpose of determining the evolution of the fractional coverage by mineral salt crystals and the corresponding crystal count in the monitored region. Through online image analysis, once crystal growth is determined to be above a prescribed threshold, one can then initiate any number of cleaning protocols. Through early detection of membrane scaling (i.e., before permeate flux decline is observed), enabled by the present monitoring approach, the system operator can prevent irreversible membrane damage and loss of system productivity. (C) 2010 Elsevier B.V. All rights reserved.