Modeling concentration polarization in reverse osmosis processes
Modeling concentration polarization in reverse osmosis processes
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DOI：
10.1016/j.desal.2005.05.017
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发表时间：
2005-12-30
期刊：
影响因子：
9.9
通讯作者：
Hoek, EMV
中科院分区：
文献类型：
--
作者：
Kim, S;Hoek, EMV
准确预测浓差极化（CP）现象对于正确设计反渗透（RO）工艺至关重要，因为它增强了跨膜渗透压和溶质通过，以及表面结垢和结垢现象。本研究的目的是比较现有的分析CP模型，更严格的数值CP模型和实验CP数据。建立了一个浓差极化的数值模型，用于描述错流反渗透分离中渗透通量和溶质截留率。通道的平均水通量和盐排斥的数值模型，经典的膜理论模型，最近提出的分析模型的预测进行了比较，以及控制实验室规模的实验数据。在实际RO应用相关的操作条件下，膜理论和数值模型准确地预测通道平均实验渗透通量和盐截留率数据，而最近的分析模型没有。局部浓差极化，渗透通量和溶质截留膜理论和数值模型的预测也同意以及RO工艺操作条件的实际范围。
Accurate prediction of concentration polarization (CP) phenomena is critical for properly designing reverse osmosis (RO) processes because it enhances trans-membrane osmotic pressure and solute passage, as well as surface fouling and scaling phenomena. The objective of this study was to compare available analytical CP models to a more rigorous numerical CP model and experimental CP data. A numerical concentration polarization model was developed to enable local description of permeate flux and solute rejection in crossflow reverse osmosis separations. Predictions of channel averaged water flux and salt rejection by the developed numerical model, the classical film theory model, and a recently proposed analytical model were compared to well-controlled laboratory scale experimental data. At operating conditions relevant to practical RO applications, film theory and the numerical model accurately predicted channel-averaged experimental permeate flux and salt rejection data, while the more recent analytical model did not. Predictions of local concentration polarization, permeate flux, and solute rejection by film theory and the numerical model also agreed well for realistic ranges of RO process operating conditions.