REVIEW OF ELECTROCHEMICAL MODELING METHODS FOR HYDROGEN PRODUCTION SYSTEM USING WATER ELECTROLYSIS POWERED BY RENEWABLE ENERGY

Xie Hua, Hu Yihan, Liu Zhe, Li Haichao, Wang Feng

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 561-574.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 561-574. DOI: 10.19912/j.0254-0096.tynxb.2024-2126

REVIEW OF ELECTROCHEMICAL MODELING METHODS FOR HYDROGEN PRODUCTION SYSTEM USING WATER ELECTROLYSIS POWERED BY RENEWABLE ENERGY

  • Xie Hua1, Hu Yihan1, Liu Zhe1, Li Haichao1, Wang Feng2
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Abstract

The accurate electrochemical model construction serves as the foundation for the planning and control of renewable energy-powered water electrolysis hydrogen production systems. Based on an investigation of the current development of water electrolysis hydrogen production technology, the electrochemical modeling methods for alkaline water electrolysis hydrogen production systems and proton exchange membrane water electrolysis hydrogen production systems are sorted out, aiming to provide modeling references for the planning and control of renewable energy-powered water electrolysis hydrogen production systems. Firstly, the modeling methods for steady and dynamic models of water electrolysis hydrogen production systems under different operating conditions are summarized respectively. Then, the scenario applicability of various electrochemical models is compared and analyzed. Finally, it is proposed to carry out research on aspects such as model parameter adaptability, electrolysis reaction dynamic mechanisms, and unified modeling methods to enhance model adaptability.

Key words

renewable energy / hydrogen production / dynamic model / steady-state model / electrochemical model / water electrolysis

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Xie Hua, Hu Yihan, Liu Zhe, Li Haichao, Wang Feng. REVIEW OF ELECTROCHEMICAL MODELING METHODS FOR HYDROGEN PRODUCTION SYSTEM USING WATER ELECTROLYSIS POWERED BY RENEWABLE ENERGY[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 561-574 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2126

References

[1] 周孝信, 赵强, 张玉琼, 等. “双碳”目标下我国能源电力系统发展趋势分析: 绿电替代与绿氢替代[J]. 中国电机工程学报, 2024, 44(17): 6707-6721.
ZHOU X X, ZHAO Q, ZHANG Y Q, et al.Analysis of the development trend of China’s energy and power system under the dual carbon target: green electricity substitution and green hydrogen substitution[J]. Proceedings of the CSEE, 2024, 44(17): 6707-6721.
[2] YU L L, ZHANG L H, MENG G J, et al.Research on multi-objective reactive power optimization of power grid with high proportion of new energy[J]. IEEE access, 2022, 10: 116443-116452.
[3] 赵卓尧, 王鹏飞, 黄丹极, 等. 拉伸网流道结构对碱性水电解槽流动与电化学特性影响的模拟研究[J]. 工程科学学报, 2026, 48(3): 671-685.
ZHAO Z Y, WANG P F, HUANG D J, et al.Simulation study on the influence of expanded mesh flow channel structure on the flow and electrochemical characteristics of alkaline water electrolyzers[J]. Chinese journal of engineering, 2026, 48(3): 671-685.
[4] 宋洁, 郜捷, 梁丹曦, 等. 质子交换膜电解制氢系统建模研究综述[J]. 电力建设, 2024, 45(2): 58-78.
SONG J, GAO J, LIANG D X, et al.A review on modeling of hydrogen production system with proton exchange membrane electrolysis[J]. Electric power construction, 2024, 45(2): 58-78.
[5] MAJUMDAR A, HAAS M, ELLIOT I, et al.Control and control-oriented modeling of PEM water electrolyzers: a review[J]. International journal of hydrogen energy, 2023, 48(79): 30621-30641.
[6] OLIVIER P, BOURASSEAU C, BOUAMAMA P B.Low-temperature electrolysis system modelling: a review[J]. Renewable and sustainable energy reviews, 2017, 78: 280-300.
[7] 胡可崴, 李浩, 王创, 等. 电解水制氢的多物理场建模与监控技术综述[J]. 电力自动化设备, 2023, 43(12): 3-13.
HU K W, LI H, WANG C, et al.Review on multiphysics modeling and regulation of power-to-hydrogen electrolyzer[J]. Electric power automation equipment, 2023, 43(12): 3-13.
[8] DING D, WU H L, ZHANG S Q, et al.Review of electrolyser modeling in wind power and photovoltaic electrolysis for hydrogen production[C]//2023 IEEE 2nd International Power Electronics and Application Symposium (PEAS). Guangzhou, China, 2024: 1043-1046.
[9] 余紫薇, 孙丹, 刘一鸣, 等. 风电制氢系统阻抗建模及振荡特性分析[J]. 高电压技术, 2024, 50(1): 169-181.
YU Z W, SUN D, LIU Y M, et al.Impedance modeling and oscillation characteristic analysis of hydrogen production system by wind power[J]. High voltage engineering, 2024, 50(1): 169-181.
[10] 黄启帆, 陈洁, 曹喜民, 等. 基于碱性电解槽和质子交换膜电解槽协同制氢的风光互补制氢系统优化[J]. 电力自动化设备, 2023, 43(12): 168-174.
HUANG Q F, CHEN J, CAO X M, et al.Optimization of wind-photovoltaic complementation hydrogen production system based on synergistic hydrogen production by alkaline electrolyzer and proton exchange membrane electrolyzer[J]. Electric power automation equipment, 2023, 43(12): 168-174.
[11] 袁铁江, 张江飞, 滕越. 基于虚拟同步机的新能源制氢系统协调控制策略[J]. 中国电机工程学报, 2025, 45(1): 163-174.
YUAN T J, ZHANG J F, TENG Y.Coordinated control strategy of the renewable energy hydrogen production system based on VSG[J]. Proceedings of the CSEE, 2025, 45(1): 163-174.
[12] LIN Y F, FU L J.A study for a hybrid wind-solar-battery system for hydrogen production in an islanded MVDC network[J]. IEEE access, 2022, 10: 85355-85367.
[13] ZHANG K, ZHOU B, OR S W, et al.Optimal coordinated control of multi-renewable-to-hydrogen production system for hydrogen fueling stations[J]. IEEE transactions on industry applications, 2022, 58(2): 2728-2739.
[14] 陈颖. 电解水制氢技术的研究现状及未来发展趋势[J]. 太阳能, 2024(1): 5-11.
CHEN Y.Research status and future development trend of hydrogen production by water electrolysis[J]. Solar energy, 2024(1): 5-11.
[15] 冯江涵, 宋钫. 阴离子交换膜电解池的研究进展[J]. 化工进展, 2023, 42(7): 3501-3509.
FENG J H, SONG F.Research progress of anion exchange membrane water electrolysis cells[J]. Chemical industry and engineering progress, 2023, 42(7): 3501-3509.
[16] YANG W H, YAN J, LIU S, et al.Macromolecular crosslink of imidazole functionalized poly(vinyl alcohol) and brominated poly(phenylene oxide) for anion exchange membrane with enhanced alkaline stability and ionic conductivity[J]. International journal of hydrogen energy, 2021, 46(74): 37007-37016.
[17] 陶智能, 邱彤, 王保国. 阴离子交换膜电解水制氢稳态建模[J]. 化工学报, 2025, 76(4): 1711-1721.
TAO Z N, QIU T, WANG B G.Steady-state modeling on hydrogen production by anion exchange membrane water electrolysis[J]. CIESC journal, 2025, 76(4): 1711-1721.
[18] 周京华, 孟祥飞, 陈亚爱, 等. 基于新能源发电的电解水制氢直流电源研究[J]. 太阳能学报, 2022, 43(6): 389-397.
ZHOU J H, MENG X F, CHEN Y A, et al.Research on DC power supply for hydrogen production from electrolytic water based on new energy generation[J]. Acta energiae solaris sinica, 2022, 43(6): 389-397.
[19] 胡致远, 程浩然, 夏杨红, 等. 碱液电解槽建模与宽范围运行控制[J]. 电力自动化设备, 2024, 44(11): 17-23.
HU Z Y, CHENG H R, XIA Y H, et al.Modeling and wide range operation control of alkaline water electrolyzer[J]. Electric power automation equipment, 2024, 44(11): 17-23.
[20] ABDIN Z, WEBB C J, GRAY E M.Modelling and simulation of an alkaline electrolyser cell[J]. Energy, 2017, 138: 316-331.
[21] TOGHYANI S, AFSHARI E, BANIASADI E, et al.Thermal and electrochemical performance assessment of a high temperature PEM electrolyzer[J]. Energy, 2018, 152: 237-246.
[22] 禹永帅, 刘永峰, 韩启沃, 等. PEMFC膜水含量及水传输综述[J]. 电池, 2025, 55(1): 146-152.
YU Y S, LIU Y F, HAN Q W, et al.Summarize of membrane water content and water transport in PEMFC[J]. Battery bimonthly, 2025, 55(1): 146-152.
[23] HUANG W T, ZHANG B H, GE L J, et al.Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer[J]. Journal of energy storage, 2023, 68: 107653.
[24] 李志伟, 赵雨泽, 吴培, 等. 基于制氢设备精细建模的综合能源系统绿氢蓝氢协调低碳优化策略[J]. 电网技术, 2024, 48(6): 2317-2326.
LI Z W, ZHAO Y Z, WU P, et al.Low-carbon dispatching strategy of integrated energy system with coordination of green hydrogen and blue hydrogen based on fine modeling of hydrogen production equipment[J]. Power system technology, 2024, 48(6): 2317-2326.
[25] GRIESSHABER W, SICK F.The self-sufficient solar house: remarkable simulation results[C]//ISES Solar World Congress, 1991, 3(1): 2559-2564.
[26] ALI KHAN M, NIELSEN M R, GOLSORKHI M S, et al.Multiphysics modeling of electrolyzers under dynamic converter operation[J]. International journal of hydrogen energy, 2025, 176: 151478.
[27] YANG Z L, YANG J, SUN H R, et al.Integrating multiphysics modeling and machine learning for enhanced efficiency and thermal management in PEM water electrolyzer systems[J]. Applied energy, 2025, 401: 126613.
[28] ULLEBERG Ø.Stand-alone power systems for the future: optimal design, operation and control of solar-hydrogen energy systems[D]. Trondheim: Norwegian University of Science and Technology, 1998.
[29] ULLEBERG Ø.Modeling of advanced alkaline electrolyzers: a system simulation approach[J]. International journal of hydrogen energy, 2003, 28(1): 21-33.
[30] 张腾飞. 碱性水电解制氢系统的建模分析与设计优化[D]. 北京: 北京化工大学, 2023.
ZHANG T F.Modeling analysis and design optimization of alkaline water electrolysis system for hydrogen production[D]. Beijing: Beijing University of Chemical Technology, 2023.
[31] YUAN T J, WANG J J, GUAN Y H, et al.Virtual inertia adaptive control of a doubly fed induction generator (DFIG) wind power system with hydrogen energy storage[J]. Energies, 2018, 11(4): 904.
[32] 潘泽铎, 钟炜. 风光互补发电制氢储能系统多目标优化研究[J]. 天津理工大学学报, 2024, 40(1): 37-43.
PAN Z D, ZHONG W.Multi-objective optimization study of hydrogen storage system for wind-solar hybrid power generation[J]. Journal of Tianjin University of Technology, 2024, 40(1): 37-43.
[33] 周行, 李少华, 王慧, 等. 光伏耦合电解水制氢系统的建模与仿真[J]. 南方能源建设, 2023, 10(3): 104-111.
ZHOU H, LI S H, WANG H, et al.Modelling and simulation of photovoltaic coupling water electrolysis hydrogen production system[J]. Southern energy construction, 2023, 10(3): 104-111.
[34] 范新桥, 张宽, 赵波, 等. 面向PEM电解制氢的虚拟同步控制技术研究[J]. 储能科学与技术, 2024, 13(11): 3949-3960.
FAN X Q, ZHANG K, ZHAO B, et al.Research on virtual synchronous control technology for PEM electrolysis hydrogen production[J]. Energy storage science and technology, 2024, 13(11): 3949-3960.
[35] KESERCIOĞLU M A, BOYACı SAN F G, SÖZBİR N, et al. Performance optimization of PEM electrolyzers: an experimental and Taguchi-based approach[J]. International journal of hydrogen energy, 2025, 152: 150214.
[36] SÁNCHEZ M, AMORES E, RODRÍGUEZ L, et al. Semi-empirical model and experimental validation for the performance evaluation of a 15 kW alkaline water electrolyzer[J]. International journal of hydrogen energy, 2018, 43(45): 20332-20345.
[37] 张文韬, 周家辉, 徐钢, 等. 计及电解槽自保温的风光制氢系统研究[J]. 现代化工, 2024, 44(4): 204-208, 215.
ZHANG W T, ZHOU J H, XU G, et al.Research on wind-solar energies-driven hydrogen production system considering self-insulation at electrolytic cell[J]. Modern chemical industry, 2024, 44(4): 204-208, 215.
[38] 张亚健, 陈茨, 薛飞, 等. 电制氢协同的含高比例光伏配电网两阶段电压随机优化控制[J]. 中国电力, 2024, 57(8): 23-35.
ZHANG Y J, CHEN C, XUE F, et al.Two-stage stochastic optimal voltage control of high-proportional photovoltaic distribution networks considering auxiliary power to hydrogen[J]. Electric power, 2024, 57(8): 23-35.
[39] KUNTE A, NECHACHE A, KYRITSIS D C, et al.Effect of electrode structure on the energy efficiency and minimum load operation for pressurized alkaline water electrolysis: a numerical study[J]. Applied energy, 2025, 401: 126748.
[40] MAREFATI S, ABDOLLAHPOUR A, MORTAZAVI M.Gas bubbles in proton exchange membrane electrolyzers, part i: mechanisms and effects[J]. Journal of power sources, 2025, 656: 238016.
[41] KOUMI NGOH S, NJOMO D.An overview of hydrogen gas production from solar energy[J]. Renewable and sustainable energy reviews, 2012, 16(9): 6782-6792.
[42] ZHENG Y, YOU S, BINDNER H W, et al.Optimal day-ahead dispatch of an alkaline electrolyser system concerning thermal-electric properties and state-transitional dynamics[J]. Applied energy, 2022, 307: 118091.
[43] 孙东阳, 于继轩, 阮俊霖, 等. 基于制氢装置效率特性的风储制氢电厂优化控制策略[J]. 电力自动化设备, 2023, 43(12): 53-61.
SUN D Y, YU J X, RUAN J L, et al.Optimal control strategy of wind-energy storage hydrogen production power plant based on efficiency characteristics of hydrogen production device[J]. Electric power automation equipment, 2023, 43(12): 53-61.
[44] MARTINEZ D,ZAMORA R.Electrical implementations of an empirical electrolyser model for improved Matlab/Simulink simulations[J]. International journal of renewable energy research, 2019, 9(2): 1060-1070.
[45] 张春雁, 窦真兰, 徐桂芝, 等. PEM电解槽制氢多相传输及转化模型综述[J]. 电池, 2024, 54(4): 569-573.
ZHANG C Y, DOU Z L, XU G Z, et al.Summarize of model for mass transfer and conversion in hydrogen production by PEM electrolyzer[J]. Battery bimonthly, 2024, 54(4): 569-573.
[46] 徐衍会, 陈浩维, 胡俊杰. 光伏电解水制氢典型工况及质子交换膜电解堆性能衰减研究[J]. 电工技术学报, 2024, 39(19): 6228-6243.
XU Y H, CHEN H W, HU J J.Study on typical working conditions of hydrogen production by photovoltaic electrolysis of water and performance degradation of proton exchange membrane electrolytic stacks[J]. Transactions of China Electrotechnical Society, 2024, 39(19): 6228-6243.
[47] 柴海东, 任永峰, 云平平, 等. 构网型风氢耦合系统电解槽轮值优化控制[J]. 高压电器, 2024, 60(7): 12-22.
CHAI H D, REN Y F, YUN P P, et al.Rotational optimization control of electrolytic cell in grid-forming wind-hydrogen coupling system[J]. High voltage apparatus, 2024, 60(7): 12-22.
[48] 程浩然, 夏杨红, 何杭航, 等. 适用于可再生能源制氢的大容量碱液电解槽建模研究[J]. 太阳能学报, 2024, 45(2): 291-299.
CHENG H R, XIA Y H, HE H H, et al.Modeling of large-capacity alkaline electrolyzers for hydrogen production from renewable energy[J]. Acta energiae solaris sinica, 2024, 45(2): 291-299.
[49] JANG D, CHO H S, KANG S.Numerical modeling and analysis of the effect of pressure on the performance of an alkaline water electrolysis system[J]. Applied energy, 2021, 287: 116554.
[50] HENAO C, AGBOSSOU K, HAMMOUDI M, et al.Simulation tool based on a physics model and an electrical analogy for an alkaline electrolyser[J]. Journal of power sources, 2014, 250: 58-67.
[51] HAMMOUDI M, HENAO C, AGBOSSOU K, et al.New multi-physics approach for modelling and design of alkaline electrolyzers[J]. International journal of hydrogen energy, 2012, 37(19): 13895-13913.
[52] LEROY R L, BOWEN C T, LEROY D J.The thermodynamics of aqueous water electrolysis[J]. Journal of the electrochemical society, 1980, 127(9): 1954-1962.
[53] RODRÍGUEZ J, AMORES E. CFD modeling and experimental validation of an alkaline water electrolysis cell for hydrogen production[J]. Processes, 2020, 8(12): 1634.
[54] 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.
[55] ROY A, WATSON S, INFIELD D.Comparison of electrical energy efficiency of atmospheric and high-pressure electrolysers[J]. International journal of hydrogen energy, 2006, 31(14): 1964-1979.
[56] ABDIN Z, WEBB C J, GRAY E M.Modelling and simulation of a proton exchange membrane (PEM) electrolyser cell[J]. International journal of hydrogen energy, 2015, 40(39): 13243-13257.
[57] 李岱泽, 熊树生, 姜琦, 等. 基于IGA-BP神经网络的PEMFC供氢系统模型预测控制算法[J]. 现代机械, 2024(5): 100-106.
LI D Z, XIONG S S, JIANG Q, et al.MPC algorithm for PEMFC hydrogen supply system based on IGA-BP neural network[J]. Modern machinery, 2024(5): 100-106.
[58] BRAUNS J, TUREK T.Alkaline water electrolysis powered by renewable energy: a review[J]. Processes. 2020; 8(2): 248.
[59] 童灵华, 孙雷波, 应芳义, 等. PEM电解槽流场的多物理场耦合建模与分析[J]. 重庆理工大学学报(自然科学), 2023, 37(10): 303-311.
TONG L H, SUN L B, YING F Y, et al.Multi-physics coupling modeling and analysis of flow field in PEM electrolyzer[J]. Journal of Chongqing University of Technology (natural science), 2023, 37(10): 303-311.
[60] 邵冲, 胡荣义, 余姣, 等. 考虑荷电与储氢状态的风光氢储系统动态控制仿真模型[J]. 中国电力, 2024, 57(7): 109-124.
SHAO C, HU R Y, YU J, et al.Dynamic modeling and control strategy for hybrid energy storage system considering state of charge and storage state of hydrogen[J]. Electric power, 2024, 57(7): 109-124.
[61] 胡开永, 赵培羽, 王志明. 光伏-PEM制氢系统建模及不同耦合方式性能对比分析[J]. 综合智慧能源, 2024, 46(9): 37-44.
HU K Y, ZHAO P Y, WANG Z M.Modeling of photovoltaic-PEM hydrogen production system and comparative performance analysis of different coupling methods[J]. Integrated intelligent energy, 2024, 46(9): 37-44.
[62] 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.
[63] 韩鹏飞, 徐潇源, 王晗, 等. 基于功率-温度自适应控制的多堆质子交换膜电解制氢系统效率优化[J]. 电工技术学报, 2024, 39(7): 2236-2248.
HAN P F, XU X Y, WANG H, et al.Operational efficiency enhancement of multi-stack proton exchange membrane electrolyzer systems with power-temperature adaptive control[J]. Transactions of China Electrotechnical Society, 2024, 39(7): 2236-2248.
[64] 李军舟, 赵晋斌, 曾志伟, 等. 具有动态调节特性的光伏制氢双阵列直接耦合系统优化策略[J]. 电网技术, 2022, 46(5): 1712-1720.
LI J Z, ZHAO J B, ZENG Z W, et al.Optimization strategy of photovoltaic hydrogen production dual array direct coupling system with dynamic regulation characteristics[J]. Power system technology, 2022, 46(5): 1712-1720.
[65] 田雪沁, 姚红雨, 袁铁江, 等. 考虑动态调节特性的光伏直接耦合制氢系统容量优化配置[J]. 中国电机工程学报, 2025, 45(17): 6764-6777.
TIAN X Q, YAO H Y, YUAN T J, et al.Capacity optimization configuration of photovoltaic hydrogen production direct coupling system considering dynamic regulation characteristics[J]. Proceedings of the CSEE, 2025, 45(17): 6764-6777.
[66] GU X F, YING Z, ZHENG X Y, et al.Photovoltaic-based energy system coupled with energy storage for all-day stable PEM electrolytic hydrogen production[J]. Renewable energy, 2023, 209: 53-62.
[67] 王润东, 黎静华, 韦善阳. 基于多物理场耦合模型的碱性水电解槽工作特性[J]. 高电压技术, 2024, 50(7): 3209-3220.
WANG R D, LI J H, WEI S Y.Operating characteristics of alkaline water electrolyzer based on multi-physical field coupled modeling[J]. High voltage engineering, 2024, 50(7): 3209-3220.
[68] ADIBI T, SOJOUDI A, SAHA S C.Modeling of thermal performance of a commercial alkaline electrolyzer supplied with various electrical currents[J]. International journal of thermofluids, 2022, 13: 100126.
[69] 陈锦洲, 林飞, 何洪文, 等. 质子交换膜燃料电池/电解槽系统建模及负荷追踪策略[J]. 电工技术学报, 2020, 35(S2): 636-643.
CHEN J Z, LIN F, HE H W, et al.Proton exchange membrane fuel cell/electrolyzer hybrid power system modeling and load tracking strategy[J]. Transactions of China Electrotechnical Society, 2020, 35(S2): 636-643.
[70] 郑博, 白章, 袁宇, 等. 多类型电解协同的风光互补制氢系统与容量优化[J]. 中国电机工程学报, 2022, 42(23): 8486-8495.
ZHENG B, BAI Z, YUAN Y, et al.Hydrogen production system and capacity optimization based on synergistic operation with multi-type electrolyzers under wind-solar power[J]. Proceedings of the CSEE, 2022, 42(23): 8486-8495.
[71] 孔令国, 孙佳琦, 王士博, 等. 波动工况下PEM电解槽负荷一维机理建模及动态响应[J]. 中国电机工程学报, 2025, 45(13): 5074-5086.
KONG L G, SUN J Q, WANG S B, et al.One-dimensional mechanism modeling and dynamic response of PEM electrolysis load under fluctuating conditions[J]. Proceedings of the CSEE, 2025, 45(13): 5074-5086.
[72] YIGIT T, SELAMET O F.Mathematical modeling and dynamic Simulink simulation of high-pressure PEM electrolyzer system[J]. International journal of hydrogen energy, 2016, 41(32): 13901-13914.
[73] OGUMEREM G S, PISTIKOPOULOS E N.Parametric optimization and control for a smart proton exchange membrane water electrolysis(PEMWE) system[J]. Journal of process control, 2020, 91: 37-49.
[74] JIANG H Y, QI B Y, DU E S, et al.Modeling hydrogen supply chain in renewable electric energy system planning[J]. IEEE transactions on industry applications, 2022, 58(2): 2780-2791.
[75] 刘元, 肖碧涛, 卢昂, 等. 面向波动可再生能源的质子交换膜电制氢系统最优压强运行[J]. 电力自动化设备, 2024, 44(8): 210-217.
LIU Y, XIAO B T, LU A, et al.Optimal pressure operation of proton exchange membrane water electrolysis system for fluctuating renewable energy[J]. Electric power automation equipment, 2024, 44(8): 210-217.
[76] CORREA G, MAROCCO P, MUÑOZ P, et al. Pressurized PEM water electrolysis: dynamic modelling focusing on the cathode side[J]. International journal of hydrogen energy, 2022, 47(7): 4315-4327.
[77] SHEN M Z, BENNETT N, DING Y L, et al.A concise model for evaluating water electrolysis[J]. International journal of hydrogen energy, 2011, 36(22): 14335-14341.
[78] KIM H, PARK M, LEE K S.One-dimensional dynamic modeling of a high-pressure water electrolysis system for hydrogen production[J]. International journal of hydrogen energy, 2013, 38(6): 2596-2609.
[79] FIRTINA-ERTIS I.Thermodynamic and electrochemical assessment of an alkaline electrolyzer (AE) at different operating parameters[J]. Journal of environmental chemical engineering, 2022, 10(2): 107225.
[80] ABOMAZID A M, EL-TAWEEL N A, HANY E Z F. Electrochemical optimization model for parameters identification of PEM electrolyzer[C]//2020 IEEE Electric Power and Energy Conference (EPEC). Edmonton, AB, Canada, 2021: 1-5.
[81] BIAKU C Y, DALE N V, MANN M D, et al.A semiempirical study of the temperature dependence of the anode charge transfer coefficient of a 6 kW PEM electrolyzer[J]. International journal of hydrogen energy, 2008, 33(16): 4247-4254.
[82] KHAJURIA R, LAMBA R, KUMAR R.Optimal parameter identification of PEM electrolyzer using bald eagle search optimization algorithm[C]//2022 IEEE 10th Power India International Conference (PIICON). New Delhi, India, 2023: 1-6.
[83] ABOMAZID A M, EL-TAWEEL N A, FARAG H E Z. Novel analytical approach for parameters identification of PEM electrolyzer[J]. IEEE transactions on industrial informatics, 2022, 18(9): 5870-5881.
[84] SEE D M, WHITE R E.Temperature and concentration dependence of the specific conductivity of concentrated solutions of potassium hydroxide[J]. Journal of chemical & engineering data, 1997, 42(6): 1266-1268.
[85] MA Z W, WITTEMAN L, WRUBEL J A, et al.A comprehensive modeling method for proton exchange membrane electrolyzer development[J]. International journal of hydrogen energy, 2021, 46(34): 17627-17643.
[86] 张潇桐, 戈阳阳, 姚红雨, 等. 基于粒子群算法的制氢电解槽运行控制策略[J]. 热力发电, 2023, 52(11): 115-122.
ZHANG X T, GE Y Y, YAO H Y, et al.Operation control strategy of hydrogen production electrolytic cell based on particle swarm optimization algorithm[J]. Thermal power generation, 2023, 52(11): 115-122.
[87] TOGHYANI S, FAKHRADINI S, AFSHARI E, et al.Optimization of operating parameters of a polymer exchange membrane electrolyzer[J]. International journal of hydrogen energy, 2019, 44(13): 6403-6414.
[88] 刘国永, 任永峰, 薛宇, 等. 基于PEM电解槽的风氢耦合系统能量管理研究[J]. 太阳能学报, 2024, 45(7): 240-248.
LIU G Y, REN Y F, XUE Y, et al.Research on energy management of wind-hydrogen coupling system based on PEM electrolyzer[J]. Acta energiae solaris sinica, 2024, 45(7): 240-248.
[89] GÖRGÜN H. Dynamic modelling of a proton exchange membrane (PEM) electrolyzer[J]. International journal of hydrogen energy, 2006, 31(1): 29-38.
[90] 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.
[91] 李建林, 梁忠豪, 赵文鼎, 等. 混合电解槽制氢系统选型及评估方法[J]. 高电压技术, 2024, 50(6): 2653-2662.
LI J L, LIANG Z H, ZHAO W D, et al.Selection and evaluation method of hydrogen production system in hybrid electrolytic cell[J]. High voltage engineering, 2024, 50(6): 2653-2662.
[92] 戴凡博. PEM电解水制氢催化剂及直接耦合光伏发电系统建模研究[D]. 杭州: 浙江大学, 2020.
DAI F B.Study of catalyst in PEM water electrolysis and directly coupling photovoltaic system simulation[D]. Hangzhou: Zhejiang University, 2020.
[93] ABOMAZID A M, EL-TAWEEL N A, FARAG H E Z. Optimal energy management of hydrogen energy facility using integrated battery energy storage and solar photovoltaic systems[J]. IEEE transactions on sustainable energy, 2022, 13(3): 1457-1468.
[94] 李建林, 赵文鼎, 梁忠豪, 等. 基于混合电解槽制氢系统的功率分配技术[J]. 电力系统自动化, 2024, 48(13): 9-18.
LI J L, ZHAO W D, LIANG Z H, et al.Power distribution technology based on hybrid-electrolyzer hydrogen production system[J]. Automation of electric power systems, 2024, 48(13): 9-18.
[95] 王舜彦, 任永峰, 张小龙, 等. 基于混合电解槽自适应控制的光伏制绿氢系统研究[J]. 太阳能学报, 2024, 45(7): 20-28.
WANG S Y, REN Y F, ZHANG X L, et al.Study on photovoltaic green hydrogen production system based on adaptive control of hybrid electrolyzer[J]. Acta energiae solaris sinica, 2024, 45(7): 20-28.
[96] BELMOKHTAR K, DOUMBIA M L, AGBOSSOU K.Dynamic model of an alkaline electrolyzer based an artificial neural networks[C]//2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER). Monte Carlo, Monaco, 2013: 1-4.
[97] HERNÁNDEZ-GÓMEZ Á, RAMIREZ V, GUILBERT D, et al. Development of an adaptive static-dynamic electrical model based on input electrical energy for PEM water electrolysis[J]. International journal of hydrogen energy, 2020, 45(38): 18817-18830.
[98] GUILBERT D, VITALE G.Dynamic emulation of a PEM electrolyzer by time constant based exponential model[J]. Energies, 2019, 12(4): 750.
[99] 李建林, 张则栋, 李光辉, 等. 基于模型层级分析的质子交换膜电解槽建模研究进展[J]. 高电压技术, 2023, 49(3): 1105-1117.
LI J L, ZHANG Z D, LI G H, et al.Research on modeling of proton exchange membrane electrolyzer based on model hierarchical analysis[J]. High voltage engineering, 2023, 49(3): 1105-1117.
[100] KIM J H, OH C Y, KIM K R, et al.Parameter identification of electrical equivalent circuits including mass transfer parameters for the selection of the operating frequencies of pulsed PEM water electrolysis[J]. Energies, 2022, 15(24): 9303.
[101] HOSSAIN M B, ISLAM M R, MUTTAQI K M, et al.Dynamic electrical circuit modeling of a proton exchange membrane electrolyzer for frequency stability, resiliency, and sensitivity analysis in a power grid[J]. IEEE transactions on industry applications, 2023, 59(6): 7271-7281.
[102] 夏杨红, 胡致远, 韦巍, 等. 可再生能源电解制氢宽范围运行控制策略[J]. 太阳能学报, 2024, 45(8): 34-43.
XIA Y H, HU Z Y, WEI W, et al.Wide range operation control strategy for electrolysis hydrogen production based on renewable energy[J]. Acta energiae solaris sinica, 2024, 45(8): 34-43.
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