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Different boron rejection behavior in two RO membranes installed in the same full-scale SWRO desalination plant
Desalination ( IF 9.9 ) Pub Date : 2019-01-01 , DOI: 10.1016/j.desal.2018.07.012
A. Ruiz-García , F.A. León , A. Ramos-Martín

Abstract Today, one of the main targets of seawater reverse osmosis (SWRO) membrane manufacturers is to increase boron rejection. For drinking water, the regulations in Spain are quite strict in terms of maximum boron content. The aim of this work is to propose a prediction model for average boron permeability coefficient as boric acid by evaluating the fluctuations of boron permeate concentration due to the different operating conditions of the plant under study. The SWRO desalination plant used for this study is located in Spain and has 9 trains with a production capacity of around 7200 m3 d−1 per train. Data from about 1500 operating days were considered. Operating data including pressure, conductivity, flow, temperature, pH and boron permeate concentration were collected during the study period. All racks did not have the same number of pressure vessels or operating conditions. Boron permeate concentration was between 0.5 and 2 mg L−1 for the membrane element TM820S-400 and between 0.25 and 0.75 mg L−1 for the membrane element TM820L-440. The model is based on the superposition of three exponential functions considering the influence of feed pressure, feed-brine temperature and operating time. The obtained results with the proposed model showed more adaptable to the experimental data than previous model.

中文翻译:

安装在同一个全规模 SWRO 海水淡化厂中的两个 RO 膜的不同硼截留行为

摘要 如今,海水反渗透 (SWRO) 膜制造商的主要目标之一是提高硼截留率。对于饮用水,西班牙对最大硼含量的规定非常严格。这项工作的目的是通过评估由于所研究工厂的不同操作条件而导致的硼渗透浓度波动,从而提出一种作为硼酸的平均硼渗透系数的预测模型。用于本研究的 SWRO 海水淡化厂位于西班牙,拥有 9 列生产能力,每列生产能力约为 7200 m3 d-1。考虑了大约 1500 个工作日的数据。在研究期间收集了操作数据,包括压力、电导率、流量、温度、pH 值和硼渗透浓度。所有机架没有相同数量的压力容器或操作条件。膜元件 TM820S-400 的硼渗透浓度介于 0.5 和 2 mg L-1 之间,膜元件 TM820L-440 的硼渗透浓度介于 0.25 和 0.75 mg L-1 之间。该模型基于考虑进料压力、进料-盐水温度和操作时间的影响的三个指数函数的叠加。与以前的模型相比,所提出的模型获得的结果表明对实验数据的适应性更强。进料盐水温度和操作时间。与以前的模型相比,所提出的模型获得的结果表明对实验数据的适应性更强。进料盐水温度和操作时间。与以前的模型相比,所提出的模型获得的结果表明对实验数据的适应性更强。
更新日期:2019-01-01
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