Study of an analytical model for hollow fiber reverse osmosis module systems
Study of an analytical model for hollow fiber reverse osmosis module systems
复制标题
中空纤维反渗透模块系统分析模型的研究
DOI：
10.1016/0011-9164(96)00010-0
复制
发表时间：
1995
期刊：
影响因子：
9.9
通讯作者：
M. Sekino
中科院分区：
文献类型：
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作者：
M. Sekino
自 20 世纪 70 年代以来，许多研究人员致力于开发中空纤维型反渗透 (RO) 模块系统的各种分析模型。然而，尚未开发出可以精确解释在各种操作条件下观察到的反渗透性能的完美分析模型。作者之前提出了一种精确的分析模型，称为摩擦-浓度-极化模型（FCP模型）[1]，该模型使用Kimura-Sourirajan模型来描述溶质和水通过膜的传输现象，以传质系数为局部变量，并考虑纤维孔侧压降。在该模型的应用中，需要中空纤维膜的基本传输参数，这些参数最初是通过U形管膜测试确定的，其中浓差极化的影响可以忽略不计。然后，通过针对微咸鱼水和海水淡化案例的试错法，使用实际模块作为雷诺数和施密特数的函数，根据实验数据估计局部传质系数。利用上述所有结果，估计了中空纤维模块在各种操作条件下的行为，并与商业尺寸模块实验获得的结果进行了比较。与之前的其他模型相比，FCP 模型被证明是预测实际模块性能的最佳模型。该模型将进一步扩展以分析长期运行期间传输参数的变化。
A number of investigators have made efforts to develop various analytical models for hollow fiber type reverse osmosis (RO) module systems since the 1970s. However, a perfect analytical model, which can precisely explain the observed RO performances under a wide range of operating conditions has not been developed yet. The author previously proposed a precise analytical model called a friction-concentration-polarization model (FCP model) [1], which used the Kimura-Sourirajan model for transport phenomena of solute and water transport through a membrane, taking a mass transfer coefficient as local variables and taking a fiber-bore side pressure drop into account. In the application of this model, fundamental transport parameter of hollow fiber membranes were needed, and they were initially determined by a U-tube membrane test where the effect of concentration polarization could be neglected. Then a local mass transfer coefficient was estimated from experimental data using actual modules as a function of Reynolds and Schimidt numbers by a trial-and-error method for both brackfish water and seawater desalination cases. Using all of the above results, behaviors of hollow fiber modules under various operating conditions were estimated and compared with the results obtained from commercial size module experiments. Compared to other previous models, the FCP model is verified to be the best one to predict actual module performances. This model will be further extended to anlyze a change of transport parameters during long-term runs.