nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2024, 04, v.23 45-53+63
Modeling and simulation of proton exchange membrane electrolyzer system
Email: guoqiang@hzqunli.com.cn;
DOI: 10.12194/j.ntu.20240415001
Received:   2024-04-15
Received Year:   2024
Accepted:   2024-05-11
Accepted Year:   2024
Review Duration(Year):   1
Published:   2024-05-27
Publication Date:   2024-05-27
Online:   2024-05-27
Mobile reading
Abstract:

Proton exchange membrane(PEM) electrolyzer converts electrical energy into chemical and heat energy,which is a green hydrogen production method, featuring fast response, high current density, compact structure, and other advantages. In the modeling of proton exchange membrane electrolysis water hydrogen production system,existing literature lacks a lumped parameter model that comprehensively describes the voltage and current changes of the electrolysis cell, as well as the temperature dynamics of each component of the system. This study establishes a steady-state voltage model of PEM electrolyzer and the thermal dynamic model of the system based on the basic principles of electrochemistry and the laws of thermodynamics. The simulation analysis was carried out based on MATLAB/Simulink software, and the simulation results were compared with the experimental data. The results showed that the voltage error is less than 0.02 V, and the temperature error is less than 1.6 K, which verifies the validity of the model. The established model can describe and predict the behavior of system parameters and provide support for system design and control. According to the efficiency model of PEM electrolyzer and the simulation results, the influence of different temperature and pressure on the performance of the electrolyzer was analyzed. It is concluded that increasing the temperature and decreasing the pressure can improve the efficiency of the electrolyzer, with temperature being the main factor. Using the simulation model, a feedforward PID controller was employed for temperature control, achieving an overshoot of less than 0.6 K and a settling time within 400 seconds. Comparison with a traditional PID controller demonstrates that the feedforward PID controller has advantages in terms of reduced overshoot and faster response.

References

[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] NIROULA S, CHAUDHARY C, SUBEDI A, et al. Parametric modelling and optimization of alkaline electrolyzer for the production of green hydrogen[J]. IOP Conference Series:Materials Science and Engineering, 2023, 1279(1):012005.

[3]张翔.质子交换膜电解池(PEMEC)热力学模型构建及系统性能分析[D].北京:华北电力大学,2020.ZHANG X. Thermodynamics model and system analysis of proton exchange membrane electrolysis cell and stack system[D]. Beijing:North China Electric Power University,2020.(in Chinese)

[4]朱建红,顾菊平,任浩锋,等.基于DSP数据采集风电并网监控设计[J].南通大学学报(自然科学版),2022,21(2):79-87.ZHU J H, GU J P, REN H F, et al. Design of wind power grid-connected monitoring system based on DSP data collection[J]. Journal of Nantong University(Natural Science Edition), 2022, 21(2):79-87.(in Chinese)

[5] 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.

[6] BREZAK D, KOVA C A, FIRAK M. MATLAB/Simulink simulation of low-pressure PEM electrolyzer stack[J]. International Journal of Hydrogen Energy, 2023, 48(16):6158-6173.

[7] ABDIN Z, WEBB C J, GRAY E M A. Modelling and simulation of a proton exchange membrane(PEM)electrolyser cell[J]. International Journal of Hydrogen Energy,2015, 40(39):13243-13257.

[8] LEBBAL M E, LEC?UCHE S. Identification and monitoring of a PEM electrolyser based on dynamical modelling[J]. International Journal of Hydrogen Energy, 2009, 34(14):5992-5999.

[9] ULLEBERG?. Modeling of advanced alkaline electrolyzers:a system simulation approach[J]. International Journal of Hydrogen Energy, 2003, 28(1):21-33.

[10] 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.

[11] RIZWAN M, ALSTAD V, J?SCHKE J. Design considerations for industrial water electrolyzer plants[J]. International Journal of Hydrogen Energy, 2021, 46(75):37120-37136.

[12] MAAMOURI R, GUILBERT D, ZASADZINSKI M, et al.Proton exchange membrane water electrolysis:modeling for hydrogen flow rate control[J]. International Journal of Hydrogen Energy, 2021, 46(11):7676-7700.

[13] FOLGADO F J, GONZáLEZ I, CALDERóN A J. Simulation platform for the assessment of PEM electrolyzer models oriented to implement digital Replicas[J]. Energy Conversion and Management, 2022, 267:115917.

[14] 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.

[15] AFSHARI E, KHODABAKHSH S, JAHANTIGH N, et al.Performance assessment of gas crossover phenomenon and water transport mechanism in high pressure PEM electrolyzer[J]. International Journal of Hydrogen Energy, 2021,46(19):11029-11040.

[16] FALC?O D S, PINTO A M F R. A review on PEM electrolyzer modelling:guidelines for beginners[J]. Journal of Cleaner Production, 2020, 261:121184.

[17] OLIVIER P, BOURASSEAU C, BOUAMAMA P B. Lowtemperature electrolysis system modelling:a review[J]. Renewable and Sustainable Energy Reviews, 2017, 78:280-300.

[18] DI魪GUEZ P M, URSUA A, SANCHIS P, et al. Thermal performance of a commercial alkaline water electrolyzer:experimental study and mathematical modeling[J]. International Journal of Hydrogen Energy, 2008, 33(24):7338-7354.

[19] QI R M, LI J R, LIN J, et al. Thermal modeling and controller design of an alkaline electrolysis system under dynamic operating conditions[J]. Applied Energy, 2023,332:120551.

[20]陈蕾,张少华,杨奕.恒压供水系统模糊PID控制策略研究[J].南通大学学报(自然科学版),2017, 16(1):24-28.CHEN L, ZHANG S H, YANG Y. Study on fuzzy PID control strategy of constant pressure water supply system[J].Journal of Nantong University(Natural Science Edition),2017, 16(1):24-28.(in Chinese)

[21]蔡金萍,李莉.基于改进PID算法的小区域温度控制模型仿真[J].计算机仿真,2015, 32(6):237-240.CAI J P, LI L. The small area temperature control model based on improved PID algorithm simulation[J]. Computer Simulation, 2015, 32(6):237-240.(in Chinese)

Basic Information:

DOI:10.12194/j.ntu.20240415001

China Classification Code:TQ116.21

Citation Information:

[1]WANG Huidong,YAO Haiyan,GUO Qiang ,et al.Modeling and simulation of proton exchange membrane electrolyzer system[J].Journal of Nantong University (Natural Science Edition),2024,23(04):45-53+63.DOI:10.12194/j.ntu.20240415001.

Received:  

2024-04-15

Received Year:  

2024

Accepted:  

2024-05-11

Accepted Year:  

2024

Review Duration(Year):  

1

Published:  

2024-05-27

Publication Date:  

2024-05-27

Online:  

2024-05-27

quote

GB/T 7714-2015
MLA
APA
Search Advanced Search