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用于膜法卤水浓缩(MBC)的高压纳滤(HPNF)过程模拟:中试规模案例研究

Process Simulation of High-Pressure Nanofiltration (HPNF) for Membrane Brine Concentration (MBC): A Pilot-Scale Case Study.

作者信息

Abdalrhman Abdallatif Satti, Lee Sangho, Ihm Seungwon, Alwaznani Eslam S B, Fellows Christopher M, Li Sheng

机构信息

Water Technologies Innovation Institute and Research Advancement (WTIIRA), Saudi Water Authority (SWA), Al-Jubail 31951, Saudi Arabia.

School of Civil and Environmental Engineering, Kookimin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea.

出版信息

Membranes (Basel). 2025 Apr 4;15(4):113. doi: 10.3390/membranes15040113.

DOI:10.3390/membranes15040113
PMID:40277983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12029138/
Abstract

The growing demand for sustainable water management solutions has prompted the development of membrane brine concentration (MBC) technologies, particularly in the context of desalination and minimum liquid discharge (MLD) applications. This study presents a simple model of high-pressure nanofiltration (HPNF) for MBC. The model integrates reverse osmosis (RO) transport equations with mass balance equations, thereby enabling acceptable predictions of water flux and total dissolved solids (TDS) concentration. Considering the limitations of the pilot plant data, the model showed reasonable accuracy in predicting flux and TDS, with R values above 0.99. The simulation results demonstrated that an increase in feed flow rate improves flux but raises specific energy consumption (SEC) and reduces recovery. In contrast, an increase in feed pressure results in an increased recovery and brine concentration. Increasing feed TDS decreases flux, recovery, and final brine TDS and increases SEC. Response surface methodology (RSM) was employed to optimize process performance across multiple criteria, optimizing flux, SEC, recovery, and final brine concentration. The optimal feed flow rate and pressure vary depending on the criteria in the improvement scenarios, underscoring the importance of systematic process improvement.

摘要

对可持续水管理解决方案日益增长的需求推动了膜盐水浓缩(MBC)技术的发展,特别是在海水淡化和最小液体排放(MLD)应用的背景下。本研究提出了一种用于MBC的高压纳滤(HPNF)简单模型。该模型将反渗透(RO)传输方程与质量平衡方程相结合,从而能够对水通量和总溶解固体(TDS)浓度进行可接受的预测。考虑到中试装置数据的局限性,该模型在预测通量和TDS方面显示出合理的准确性,R值高于0.99。模拟结果表明,进料流速的增加会提高通量,但会增加比能耗(SEC)并降低回收率。相反,进料压力的增加会导致回收率和盐水浓度增加。进料TDS的增加会降低通量、回收率和最终盐水TDS,并增加SEC。采用响应面方法(RSM)对多个标准下的工艺性能进行优化,优化通量、SEC、回收率和最终盐水浓度。在改进方案中,最佳进料流速和压力因标准而异,突出了系统工艺改进的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/8492eb8df35c/membranes-15-00113-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/9ad36804eb82/membranes-15-00113-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/42c19a3493a3/membranes-15-00113-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/a56f2e60ee89/membranes-15-00113-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/e9bdd18a3622/membranes-15-00113-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/3958a3e2bda0/membranes-15-00113-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/ffdce03e029a/membranes-15-00113-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/cc3a06b840fd/membranes-15-00113-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/c8c536bb7681/membranes-15-00113-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/8492eb8df35c/membranes-15-00113-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/9ad36804eb82/membranes-15-00113-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/42c19a3493a3/membranes-15-00113-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/a56f2e60ee89/membranes-15-00113-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/e9bdd18a3622/membranes-15-00113-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/3958a3e2bda0/membranes-15-00113-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/ffdce03e029a/membranes-15-00113-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/cc3a06b840fd/membranes-15-00113-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/c8c536bb7681/membranes-15-00113-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa3/12029138/8492eb8df35c/membranes-15-00113-g009.jpg

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本文引用的文献

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J Environ Manage. 2024 May;359:121057. doi: 10.1016/j.jenvman.2024.121057. Epub 2024 May 7.
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Theoretical and Experimental Analysis of Osmotically Assisted Reverse Osmosis for Minimum Liquid Discharge.用于最小化液体排放的渗透辅助反渗透的理论与实验分析
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Module-scale analysis of low-salt-rejection reverse osmosis: Design guidelines and system performance.
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