| Issue |
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 5 | |
| Section | Pollution Control and Low-Carbon Energy Saving Development | |
| DOI | https://doi.org/10.1051/e3sconf/202344102012 | |
| Published online | 07 November 2023 | |
Mathematical model and dynamic simulink simulation of PEM electrolyzer system
State Grid Shanghai Municipal Electric Power Company of Fengxian, Shanghai, China
a feidanxiong@sh.sgcc.com.cn
b fanwenwen@sh.sgcc.com.cn
c* douzhl@126.com
d zhcytongji@126.com
Hydrogen, being the most abundant element in the universe, holds great promise as an energy carrier for decarbonizing various economic sectors. In particular, green hydrogen production through water electrolysis is essential for achieving this goal, with polymer electrolyte membrane (PEM) water electrolyzers playing a crucial role. PEM water electrolyzers are known for their rapid response, enabling them to effectively adapt to fluctuations in renewable energy sources. Nevertheless, rapid load changes can result in the rapid build-up of heat within the electrolytic cell, leading to a sharp increase in temperature and potentially harming the cell. To address this challenge, we developed an electrolysis water system model using MATLAB and validated its accuracy through experiments. This model allowed us to explore the factors influencing stack temperature and propose a fast and secure dynamic process control strategy. By laying the groundwork for subsequent control studies on PEMEC (Proton Exchange Membrane Electrolysis Cell) stacks and systems, this research facilitates further progress in their control and regulation.
© The Authors, published by EDP Sciences, 2023
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