Abstract
The performance and optimization of alkaline electrolyzers are often constrained by the lack of comprehensive models that capture their dynamic behavior under varying operational conditions. Existing models frequently overlook the complex interactions between electrochemical, thermodynamic, and pressure systems within the electrolyzer. This paper presents an intelligent, multi-physics dynamic modeling approach for an alkaline electrolyzer. The proposed model captures the electrochemical, thermodynamic, and pressure dynamics of the electrolyzer, simulating its behavior under various operating conditions. The model operates within a closed-loop environment, accounting for key factors such as temperature and pressure variations during operation. The comprehensive modeling approach aims to capture the dynamic behavior of the electrolyzer, including startup conditions, ensuring optimized performance across a range of operating scenarios. The model has been implemented in MATLAB/Simulink, providing enhanced control capabilities. Additionally, the accuracy and performance of the model have been validated against experimental data, demonstrating its reliability.
Originalsprog | Engelsk |
---|---|
Titel | 2024 IEEE Design Methodologies Conference (DMC) |
Antal sider | 6 |
Forlag | IEEE |
Publikationsdato | nov. 2024 |
ISBN (Elektronisk) | 79-8-3503-5586-4 |
DOI | |
Status | Udgivet - nov. 2024 |
Begivenhed | Design Methodologies Conference - University of Grenoble Alpes, Grenoble, Frankrig Varighed: 18. nov. 2024 → 20. nov. 2024 https://attend.ieee.org/dmc-2024/ |
Konference
Konference | Design Methodologies Conference |
---|---|
Lokation | University of Grenoble Alpes |
Land/Område | Frankrig |
By | Grenoble |
Periode | 18/11/2024 → 20/11/2024 |
Internetadresse |