该文研究了优化模糊PID控制器在质子交换膜(PEM)电解制氢系统中的应用,分析了系统温度对电解槽效率的影响及多级热回收结构对能效的提升。研究结果显示,优化后的模糊PID控制器能更快速、准确地控制温度,相较于传统PID和模糊PID控制器,水泵调节时间缩短了约70 s,超调量减少约4%。此外,设计的多级热回收结构在200 kW PEM电解系统中回收了47.98 kW的废热,使系统整体效率提升23.04%。研究表明,通过优化控制器及合理利用余热,可显著提升PEM电解水制氢系统的性能和能效,具有重要工程应用价值。
Abstract
Temperature is a critical factor influencing the performance of proton exchange membrane (PEM) electrolysis systems, making stable temperature control essential for ensuring both system safety and operational efficiency. This study investigates the application of an optimized fuzzy PID controller in PEM electrolytic hydrogen production systems. It analyzes the impact of system temperature on electrolyzer efficiency and explores the enhancement of energy efficiency through a multistage heat recovery structure. The findings demonstrate that the optimized fuzzy PID controller achieves faster and more precise temperature regulation compared to traditional PID and fuzzy PID controllers. Specifically, the pump regulation time is reduced by approximately 70 seconds, while overshoot is decreased by approximately 4%. Additionally, the multistage heat recovery structure enables the recovery of 47.98 kW of waste heat in a 200 kW PEM electrolysis system, resulting in a 23.04% improvement in overall system efficiency. These results underscore the significant potential of optimized controllers and efficient waste heat utilization to enhance the performance and energy efficiency of PEM electrolytic hydrogen production systems, highlighting their valuable implications for engineering applications.
关键词
制氢 /
电解 /
温度控制 /
PID控制 /
余热利用
Key words
hydrogen production /
electrolysis /
temperature control /
PID control /
waste heat utilization
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参考文献
[1] 李亚楼, 王丹丹, 赵飞, 等. 电力多元转换(Power-to-X): 技术路径、应用与挑战[J]. 电网技术, 2024, 48(5): 1809-1820.
LI Y L, WANG D D, ZHAO F, et al.Path, application and challenge of power-to-X[J]. Power system technology, 2024, 48(5): 1809-1820.
[2] 张诚, 檀志恒, 晁怀颇. “双碳”背景下数据中心氢能应用的可行性研究[J]. 太阳能学报, 2022, 43(6): 327-334.
ZHANG C, TAN Z H, CHAO H P.Feasibility study of hydrogen energy application on data center under “carbon peaking and neutralization” background[J]. Acta energiae solaris sinica, 2022, 43(6): 327-334.
[3] 江岳文, 杨国铭, 陈宇辛, 等. 考虑电解槽动态制氢效率的氢网运行优化[J]. 中国电机工程学报, 2023, 43(8): 3014-3027.
JIANG Y W, YANG G M, CHEN Y X, et al.Optimal operation for the hydrogen network under consideration of the dynamic hydrogen production efficiency of electrolyzers[J]. Proceedings of the CSEE, 2023, 43(8): 3014-3027.
[4] 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.
[5] KARABUGA A, UTLU Z, YUKSEL B.Thermo-economic and thermo-environmental assessment of hydrogen production, an experimental study[J]. International journal of hydrogen energy, 2023, 48(60): 23323-23338.
[6] 马晓锋, 张舒涵, 何勇, 等. PEM电解水制氢技术的研究现状与应用展望[J]. 太阳能学报, 2022, 43(6): 420-427.
MA X F, ZHANG S H, HE Y, et al.Research status and application prospect of PEM electrolysis water technology for hydrogen production[J]. Acta energiae solaris sinica, 2022, 43(6): 420-427.
[7] VILLAGRA A, MILLET P.An analysis of PEM water electrolysis cells operating at elevated current densities[J]. International journal of hydrogen energy, 2019, 44(20): 9708-9717.
[8] FLAMM B, PETER C, BÜCHI F N, et al. Electrolyzer modeling and real-time control for optimized production of hydrogen gas[J]. Applied energy, 2021, 281: 116031.
[9] QI R M, LI J R, LIN J, et al.Design of the PID temperature controller for an alkaline electrolysis system with time delays[J]. International journal of hydrogen energy, 2023, 48(50): 19008-19021.
[10] TABANJAT A, BECHERIF M, EMZIANE M, et al.Fuzzy logic-based water heating control methodology for the efficiency enhancement of hybrid PV-PEM electrolyser systems[J]. International journal of hydrogen energy, 2015, 40(5): 2149-2161.
[11] TALPUR N, ABDULKADIR S J, ALHUSSIAN H, et al.Deep neuro-fuzzy system application trends, challenges, and future perspectives: a systematic survey[J]. Artificial intelligence review, 2023, 56(2): 865-913.
[12] KUO J K, THAMMA U, WONGCHAROEN A, et al.Optimized fuzzy proportional integral controller for improving output power stability of active hydrogen recovery 10-kW PEM fuel cell system[J]. International journal of hydrogen energy, 2024, 50: 1080-1093.
[13] ABORAS K M, RAGAB M, SHOURAN M, et al.Voltage and frequency regulation in smart grids via a unique fuzzy PIDD2 controller optimized by gradient-based optimization algorithm[J]. Energy reports, 2023, 9: 1201-1235.
[14] ABHISHEK A, RANJAN A, DEVASSY S, et al.Review of hierarchical control strategies for DC microgrid[J]. IET renewable power generation, 2020, 14(10): 1631-1640.
[15] 闫涛, 房凯, 惠东. 基于电-热特性的质子交换膜电解槽模型研究进展[J]. 太阳能学报, 2024, 45(1): 466-474.
YAN T, FANG K, HUI D.Research progress of proton exchange membrane electrolyzer model based on electrical-thermal characteristics[J]. Acta energiae solaris sinica, 2024, 45(1): 466-474.
[16] LÜMMEN N, KAROUACH A, TVEITAN S. Thermo-economic study of waste heat recovery from condensing steam for hydrogen production by PEM electrolysis[J]. Energy conversion and management, 2019, 185: 21-34.
[17] NASSER M, HASSAN H.Assessment of hydrogen production from waste heat using hybrid systems of Rankine cycle with proton exchange membrane/solid oxide electrolyzer[J]. International journal of hydrogen energy, 2023, 48(20): 7135-7153.
[18] WU X, ZHANG Y W, ZHU X J, et al.Experimental performance of a low-grade heat driven hydrogen production system by coupling the reverse electrodialysis and air gap diffusion distillation methods[J]. Energy conversion and management, 2024, 301: 117994.
基金
国家重点研发计划(2020YFB1506802); 国家自然科学基金智能电网联合基金重点支持项目(U24B20103)