目前针对电解槽非等温模型在不同运行场景下预测精度的研究尚显不足,该文建立一种耦合传热与电压的非等温模型,并结合实验数据验证了其合理性。选取功率分别为800 W 和50 kW的电解槽作为研究对象,分析了不同电流密度、电解液温度和环境温度的组合参数对电解槽电压和温度的影响。研究表明,与等温模型相比,非等温模型在高电流密度-低电解液温度场景下,对电压和温度的预测精度均更优;在低电流密度-高电解液温度场景下,其温度预测精度同样更具优势。进一步在60 ℃电解液温度下,对比分析两种模型在不同电流密度下的年度能耗差异。结果显示,等温模型的电耗预测值偏高,且预测误差随电流密度的升高呈显著增大趋势。该研究结果为不同运行条件下电解槽性能预测时是否引入传热模型提供了理论依据。
Abstract
Research on the prediction accuracy of non-isothermal electrolyzer models under various operating scenarios remains limited. This study develops a non-isothermal model coupling heat transfer and voltage, validated by experimental data. For 800 W and 50 kW electrolyzers, the combined effects of current density, electrolyte temperature, and ambient temperature on cell voltage and temperature are analyzed. Results indicate that, compared to the isothermal model, the non-isothermal model offers superior prediction accuracy for both voltage and temperature under high current density and low electrolyte temperature scenarios. It also shows better temperature prediction under low current density and high electrolyte temperature. Furthermore, annual energy consumption predictions from both models across various current densities （with a 60 °C electrolyte） are compared. The isothermal model tends to overestimate power consumption, with errors increasing significantly at higher current densities. These findings provide a theoretical basis for deciding when to incorporate heat transfer models in electrolyzer performance prediction.
关键词
PEM电解槽 /
制氢 /
非等温模型 /
热平衡
Key words
PEM electrolyzer /
hydrogen production /
non-isothermal model /
thermal balance
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Folgado F J, González I, Calderón A J.Data acquisition and monitoring system framed in Industrial Internet of Things for PEM hydrogen generators[J]. Internet of Things, 2023, 22: 100795.
[2] 王尊博, 徐超群, 何勇, 等. 基于simulink的三种质子交换膜电解槽模型对比[J]. 哈尔滨工程大学学报, 2025, 46(3): 486-494.
Wang Z B, Xu C Q, He Y, et al.Comparison of three proton exchange membrane cell models using Simulink[J]. Journal of Harbin Engineering University, 2025, 46(3): 486-494.
[3] Brezak D, Kovač A, Firak M.MATLAB/Simulink simulation of low-pressure PEM electrolyzer stack[J]. International Journal of Hydrogen Energy, 2023, 48(16): 6158-6173.
[4] Zhu Y X, Zhang Y X, Bin S Y, et al.Effects of key design and operating parameters on the performance of the PEM water electrolysis for hydrogen production[J]. Renewable Energy, 2024, 235: 121290.
[5] García-Valverde R, Espinosa N, Urbina A.Simple PEM water electrolyser model and experimental validation[J]. International Journal of Hydrogen Energy, 2012, 37(2): 1927-1938.
[6] 罗马吉, 徐征, 陈奔. 质子交换膜电解池产热与温度分布研究[J]. 华中科技大学学报(自然科学版), 2025, 53(1): 143-149.
Luo M J, Xu Z, Chen B.Study on heat generation and temperature distribution in proton exchange membrane electrolysis cell[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2025, 53(1): 143-149.
[7] 施正荣, 翁楚, 蔡靖雍, 等. 基于PV/T的质子交换膜电解制氢系统动态性能研究[J]. 太阳能学报, 2023, 44(8): 164-170.
Shi Z R, Weng C, Cai J Y, et al.Study on dynamic performance of PV/T based on proton exchange membrane water electrolysis system[J]. Acta Energiae Solaris Sinica, 2023, 44(8): 164-170.
[8] Wang Z M, Wang X Y, Chen Z C, et al.Energy and exergy analysis of a proton exchange membrane water electrolysis system without additional internal cooling[J]. Renewable Energy, 2021, 180: 1333-1343.
[9] Wang K C, Feng Y C, Xiao F, et al.Operando analysis of through-plane interlayer temperatures in the PEM electrolyzer cell under various operating conditions[J]. Applied Energy, 2023, 348: 121588.
[10] 贾臻. PV/T直接耦合PEM电解制氢系统的实验和数值模拟研究[D]. 合肥: 合肥工业大学, 2023.
Jia Z.Experimental and numerical simulation study on PV/T direct coupling PEM hydrogen production system[D]. Hefei: Hefei University of Technology, 2023.
[11] 何潮洪, 冯霄. 化工原理[M]. 北京: 科学出版社, 2001.
He C H, Feng X.Principles of chemical engineering[M]. Beijing: Science Press, 2001.
[12] Espinosa-López M, Darras C, Poggi P, et al.Modelling and experimental validation of a 46 kW PEM high pressure water electrolyzer[J]. Renewable Energy, 2018, 119: 160-173.
基金
安徽省自然科学基金（2508085ME115）
PDF(1380 KB)
