基于响应面法的微咸水反渗透脱盐工艺优化

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摘要为应对淡水资源短缺,提高微咸水反渗透工艺的处理效果,设计了一种单级多通道低压反渗透(RO)中试装置,采用Box-Behnken响应面分析法(RSM)建立了微咸水RO淡化过程的模拟和优化模型.在不同的进料浓度,进水流量和浓淡水比例等工艺参数条件下,考察了系统的盐截留率和膜通量,分析和计算了系统的评价系数和单位能耗(SEC).结果表明,进料浓度和浓淡水比例是影响盐截留率的显著因素.低进料浓度、较高进水流量并不能显著提高盐截留率,反而会增加设备的单位能耗.在5000mg/L进料浓度的条件下,控制进水流量258.02L/h,浓淡水比例1.39时,脱盐效果最佳,评价系数达到10.58L/(m²·h),单位能耗相对最低为5.15(kW·h)/m³.所建的RSM模型能够较好地模拟微咸水反渗透脱盐的过程,SEC预测精度良好,R²值达到0.9925,盐截留率模型误差RMSE仅为0.36.RSM模型可以用于优化不同进料浓度下的操作条件,指导反渗透脱盐工艺的长期高效运行.

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	卢金锁

关键词 ：微咸水, 反渗透, 脱盐, 响应面法, 优化

Abstract：In order to cope with the shortage of fresh water resources and improve the performance of reverse osmosis (RO) process in brackish waters, a single-stage multi-channel low-pressure reverse osmosis pilot device was designed, and a simulation and optimization model for RO desalination process of brackish water was established using Box-Behnken response surface analysis method (RSM). Under various conditions of feed concentration, influent flow rate and the ratio of concentrated water to fresh water, the salt rejection rate and membrane permeation flux of the system were investigated, and the performance index and specific energy consumption (SEC) of the system were analysed and calculated. The results showed that feed concentration and the ratio of concentrated water to fresh water were significant factors affecting the rejection rate. Higher influent flow at low feed concentration could not significantly increase the salt rejectionrate, but increase the specific energy consumption of the equipment. Under the condition of 5000mg/L feed concentration, when the influent flow rate was controlled to be 258.02L/h and the ratio of concentrated water to fresh water was 1.39, the best desalination performance could be achieved, the performance index was 10.58L/(m²·h), and the relative lowest specific energy consumption was 5.15(kW·h)/m³. The constructed RSM model was able to simulate the process of reverse osmosis desalination of brackish water, and the SEC was well predicted with R² value of 0.9925, and the rejection rate was predicted with RMSE value only of 0.36. The RSM model could optimize the process conditions under different feed concentrations, and guide the long-term efficient operation of RO desalination process.

Key words： brackish water reverse osmosis desalination response surface method optimization

收稿日期: 2023-11-09

PACS:

X524

基金资助:内蒙古自治区水利发展基金资助项目(NSK202002);陕西省自然科学基金资助重点项目(2023-JC-ZD-28);陕西省重点研发计划项目(2023GXLH-056)

通讯作者: 孙昕,教授,xinsunn@163.com E-mail: xinsunn@163.com

作者简介: 王辛铜(1999-),男,陕西西安人,西安建筑科技大学硕士研究生,主要从事反渗透脱盐技术研究.XintongEN@163.com.

引用本文:

王辛铜, 高峰, 吴友兵, 杨宇, 宋日权, 孙昕, 卢金锁. 基于响应面法的微咸水反渗透脱盐工艺优化[J]. 中国环境科学, 2024, 44(6): 3151-3159. WANG Xin-tong, GAO Feng, WU You-bing, YANG Yu, SONG Ri-quan, SUN XIN, LU Jin-suo. Optimization of reverse osmosis desalination process of brackish water based on response surface method. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(6): 3151-3159.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I6/3151

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