Inadequacy of current approaches for characterizing membrane transport properties at high salinities
Inadequacy of current approaches for characterizing membrane transport properties at high salinities
复制标题
当前表征高盐度下膜传输特性的方法的不足
DOI：
10.1016/j.memsci.2022.121246
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发表时间：
2023
影响因子：
9.5
通讯作者：
Mauter, Meagan S.
中科院分区：
文献类型：
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作者：
Liang, Yuanzhe;Dudchenko, Alexander V.;Mauter, Meagan S.
渗透膜工艺的成本优化设计需要在整个操作范围内准确估计膜传输参数。然而，估计这些参数的标准方法依赖于经验方法，其准确性仍然无法量化为温度、盐度和测量误差的函数。在此，我们对反渗透、高压反渗透、正向渗透、压力延迟反渗透和渗透辅助反渗透中先前开发的膜运输特性估计方法进行了系统的准确性分析。我们使用蒙特卡罗方法对这些过程的所有可行膜的水透性、盐透性、结构参数和操作条件进行采样。然后将这些材料和工艺参数合并到每个工艺的物理运输模型中。我们的分析表明，从低盐度到高盐度条件下，目前用于估计膜参数的经验方法的统计不确定性增加了5倍。这项工作的结果表明，经验方法不足以精确估计高盐度下的膜运输特性，并强调了开发经统计验证的更高精度方法的迫切需要。
Cost optimal design of osmotic membrane processes requires an accurate estimate of membrane transport parameters across their full operational range. However, standard approaches for estimating these parameters rely on empirical methods, the accuracy of which remains unquantified as a function of temperature, salinity, and measurement error. Herein, we present a systematic accuracy analysis of previously developed methods for estimation of membrane transport properties in reverse osmosis, high-pressure reverse osmosis, forward osmosis, pressure retarded reverse osmosis, and osmotically assisted reverse osmosis. We use a Monte Carlo approach to sample the full range of feasible membrane water permeabilities, salt permeabilities, structural parameters, and operating conditions for these processes. These material and process parameters are then incorporated into a physical transport model for each process. Our analysis shows that the statistical uncertainty of current empirical methods for estimating membrane parameters increases by 5 times from low-salinity to high-salinity conditions. The result of this work demonstrates that empirical methods are inadequate for precisely estimating membrane transport properties at high salinity and highlight a critical need for the development of statistically validated higher accuracy methods.