Prediction of reverse osmosis performance based on genetic algorithm and adsorption-diffusion model

CHENG Huiwen; JI Chaoqing; XU Li

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Prediction of reverse osmosis performance based on genetic algorithm and adsorption-diffusion model

更新时间：2025-12-10

- Prediction of reverse osmosis performance based on genetic algorithm and adsorption-diffusion model
- CIESC Journal Issue 8, Pages: 2027-2032(2007)
- 作者机构：
  
  1. 浙江大学电气工程学院
  2. 浙江四通环境工程有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 August 2007，
  
  Published：05 August 2007
- 稿件说明：
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CHENG Huiwen, JI Chaoqing, XU Li. Prediction of reverse osmosis performance based on genetic algorithm and adsorption-diffusion model[J]. CIESC Journal, 2007, (8): 2027-2032.
DOI：

CHENG Huiwen, JI Chaoqing, XU Li. Prediction of reverse osmosis performance based on genetic algorithm and adsorption-diffusion model[J]. CIESC Journal, 2007, (8): 2027-2032. DOI：

摘要

基于反渗透膜的吸附-扩散模型，导出了多孔膜对溶质的浓缩比表达式和组件的溶质平均脱除率。采用遗传算法对膜的性能进行了数学模拟，计算出了氯化钠对ESPA2反渗透膜的膜相溶质分配系数、溶质的膜相扩散系数、溶剂(水)的膜相扩散系数、膜的孔隙率和膜分离层厚度，计算得到的膜分离层厚度和膜相中水扩散系数等参数与芳香聚酰胺复合膜的测定值相吻合

其中，氯化钠透过率的均方差在10-7～10-6之间。

Abstract

The equations of solute rejection and concentrate rate on porous membrane were deduced based on the model of absorption-diffusion.Genetic algorithm (GA) was used to simulate the performance of the membrane.The calculated parameters

such as the solute distribution coefficient

the solute diffusion coefficient and the solvent diffusion coefficient in the membrane phase for the ESPA2 membrane

were all in agreement with the measured ones of aromatic polyamide reverse osmosis composite membrane and the mean square deviation of NaCl-permeability was between 10-7 and 10-6.

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