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Use of nanofiltration predictive model for membrane selection and system cost assessment

机译:使用纳滤预测模型进行膜选择和系统成本评估

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摘要

In this paper,a predictive model based on the Donnan-Steric-Pore model(DSPM)has been used to develop general criteria for selection of optimum nanofiltration(NF)membranes and to analyse the effect of various nanofiltration membrane characteristics on the cost of NF membrane system.By using an economic assessment model for NF processes,the two most important factors determining the performance of NF membranes which are A.(the ratio of solute radius and membrane pore radius)and zeta(the ratio of membrane charge effective density to bulk concentration)were examined.The optimal conditions for minimum operation cost and optimal operating pressure were also determined.Detailed cost analysis reveals both capital and operating cost were not affected by the variation of zeta.However,decreasing the membrane pore size will increase costs.It was found that up to 30% of the capital and operating costs in recovering sodium sulphate solution can be saved by-using looser membrane compared to the tight membrane structure.
机译:本文使用基于Donnan-Steric-Pore模型(DSPM)的预测模型来开发选择最佳纳滤(NF)膜的一般标准,并分析各种纳滤膜特性对NF成本的影响通过对NF过程进行经济评估,确定NF膜性能的两个最重要因素是A.(溶质半径与膜孔半径之比)和zeta(膜电荷有效密度与膜电荷之比)。研究了最小操作成本和最佳操作压力的最佳条件。详细的成本分析表明,zeta的变化不会影响资金和操作成本。但是,减小膜孔径会增加成本。已经发现,与紧密管相比,使用松散的膜可以节省高达30%的回收硫酸钠溶液的资金和运营成本。膜结构。

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