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为实现电厂凝结水处理系统在动态波动进水条件下离子交换树脂寿命的准确预测，文章基于固定床动态实验，研究了进水电导率与进水流速对强酸强碱混床树脂除盐过程的影响规律，并构建了适用于动态工况的BDST预测模型。关键模型参数分析表明，树脂的平衡吸附容量N0约为8.73×104μS/cm，受进水条件影响不显著；反应速率常数Ka与流速呈正相关，证实了本实验条件下离子交换过程主要受液膜传质控制。模型验证结果表明，其在单一稳定工况及模拟实际“泄漏-维修”波动工况下，穿透时间预测相对误差均在±5%以内。该模型可为凝结水精处理系统实现树脂工作状态的实时评估与预判性运行提供有效的理论工具。
Abstract：To achieve accurate prediction of the service life of ion-exchange resins in power plant condensate polishing systems under dynamically fluctuating influent water quality, this study investigated the influence of influent conductivity and flow rate on the desalination process of strong-acid strong-base mixed-bed resins through fixed-bed dynamic experiments. A BDST predictive model suitable for dynamic operating conditions was developed. Analysis of key model parameters revealed that the equilibrium adsorption capacity(N0) of the resin was approximately 8.73×104 μS/cm, which was not significantly affected by the influent conditions. In contrast, the mass transfer rate constant(Ka) showed a positive correlation with flow rate, confirming that the ion-exchange process in this experimental system was primarily controlled by liquid-film mass transfer. The model was validated, showing prediction errors for breakthrough time of less than 5% for both single steady-state conditions and simulated actual “leakage-repair” fluctuating conditions. This model provides an effective theoretical tool for the real-time assessment of resin working status and predictive operation in condensate polishing systems.
1满曰南,王晓娟,王银涛,等.海水淡化技术研究新进展和发展趋势[J].工业水处理, 2014, 34(11):8-12.
2张海春,范会生,陆阿定.新能源海水淡化技术应用进展及其在舟山的现状分析[J].水处理技术, 2010, 36(10):23–27.
3李亚红.我国海水冷却技术的应用现状及发展应对策略[J].应用化工, 2017, 46(12):2431-2434, 2440.
4赵显国,孙振平,刘伟.核电厂凝汽器泄漏监测系统问题研究及改进应用[J].电站辅机, 2022, 43(3):38–42.
5谷慧,荣华,李吉娃,等.核电厂海工构筑物氯盐腐蚀耐久性监测研究综述[J].工业建筑, 2022, 52(10):16-21, 15.
6张振宇,王今芳,张毅,等.方家山核电机组凝汽器检漏装置技改优化[J].中国核电, 2022, 15(4):542-549.
7王鑫.海藻酸钠复合吸附剂吸附垃圾渗滤液中重金属离子性能研究[D].西安:长安大学, 2023.
8 Moscatello N, Swayambhu G, Jones C H, et al. Continuous removal of copper, magnesium, and nickel fromindustrial wastewater utilizing the natural product yersiniabactin immobilized within a packed-bed column[J].Chemical Engineering Journal, 2018, 343:173-179.
9 Yuan C Y, Sun Y Z, Yang Y, et al. Performance and modelling of bromide dynamic adsorption onto D301 anionexchange resin[J]. The Chinese Journal of Process Engineering, 2020, 20(6):655-666.
10 Futalan C M, Kan C C, Dalida M L, et al. Fixed-bed column studies on the removal of copper using chitosanimmobilized on bentonite[J]. Carbohydrate Polymers, 2011, 83(2):697-704.
11丁思淳.静态及动态环境下凹凸棒土对重金属的吸附性能研究[D].广州:华南理工大学, 2022.
12 Bohart G S, Adams E Q. Some aspects of the behavior of charcoal with respect to chlorine[J]. Journal of theAmerican Chemical Society, 1920, 42:523-544.
13 Gros N, Camoes M F, Oliveira C, et al. Ionic composition of seawaters and derived saline solutions determined byion chromatography and its relation to other water quality parameters[J]. Journal of Chromatography A, 2008,1210(1):92-98.
14 Maiti S K, Bera D, Chattopadhyay P, et al. Determination of kinetic parameters in the biosorption of Cr(VI) onimmobilized Bacillus cereus M161 in a continuous packed bed column reactor[J]. Applied Biochemistry andBiotechnology, 2009, 159(2):488-504.
15 Ko D C K, Porter J F, Mckay G. Optimised correlations for the fixed-bed adsorption of metal ions on bone char[J].Chemical Engineering Science, 2000, 55(23):5819-5829.
16 Chittoo B S, Sutherland C. Column breakthrough studies for the removal and recovery of phosphate by lime-ironsludge:Modeling and optimization using artificial neural network and adaptive neuro-fuzzy inference system[J].Chinese Journal of Chemical Engineering, 2020, 28(7):1847-1859.
基本信息:
DOI：10.16026/j.cnki.iea.2026010039
中图分类号:TM621;TQ085.4
引用信息:
[1]夏永生,张子昂,王钊,等.基于BDST模型的固定床反应器树脂失效周期的预测与动态运行分析[J].离子交换与吸附,2026,42(01):39-46.DOI:10.16026/j.cnki.iea.2026010039.
基金信息:
国家自然科学基金(项目号22376099)
2026-02-20
2026-02-20