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Temperature-dependent boron permeability through reverse-osmosis membranes: implications for full-scale simulations

机译:通过反渗透膜的随温度变化的硼渗透性:对全面模拟的意义

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Boron removal from desalinated seawater is essential for obtaining high quality water, suitable for irrigation. Removal of boron by RO (reverse osmosis), the leading desalination technology, is significantly affected by variations in feed water temperature. Nevertheless, a widely agreed quantitative method for describing the temperature effect on the boric acid permeability constant, an important parameter in RO process modeling, was thus far unavailable. In this paper, different methods for describing permeability constants as a function of temperature were systematically evaluated against empirical results. It was demonstrated that non-specific temperature correlations, which are based on a single permeability measurement at a reference temperature, result in increased deviations from the measured permeability as the temperatures shift away from the reference value. A more accurate approach is to determine membrane-specific temperature correlations based on measured permeabilities at the relevant temperature range. Subsequently, the influence of accurate temperature correction on process modeling was assessed by comparing experimental boron rejections at practical conditions to simulation results. It was found that a reliable boric acid permeability coefficient is particularly significant at warm temperature, where boron rejection is less effective. Finally, implications to process design are discussed in light of accurate temperature dependent boron removal simulations.
机译:从淡化海水中去除硼对于获得适合灌溉的高质量水至关重要。领先的海水淡化技术RO(反渗透)对硼的去除受进水温度变化的影响很大。然而,至今尚无一种广泛认可的定量方法来描述温度对硼酸渗透率常数的影响,硼酸渗透率常数是反渗透过程建模中的重要参数。在本文中,根据经验结果系统地评估了描述渗透率常数随温度变化的不同方法。已经证明,基于特定温度下在参考温度下的单个磁导率测量值的非特定温度相关性会导致随着温度偏离参考值而导致与测量磁导率的偏差增加。一种更准确的方法是根据在相关温度范围内测得的渗透率确定特定于膜的温度相关性。随后,通过将实际条件下的实验硼排斥率与仿真结果进行比较,评估了精确温度校正对过程建模的影响。已经发现,可靠的硼酸渗透系数在温暖的温度下特别重要,因为在该温度下硼的去除效果较差。最后,根据精确的温度依赖性除硼模拟讨论了工艺设计的意义。

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