1D model parameter sensitivity study for low temperature PEMFC
Résumé
Hydrogen plays a crucial role in advancing carbon-neutral energy systems, with Proton Exchange Membrane Fuel Cells (PEMFCs) offering high efficiency for applications in transport and stationary power. However, PEMFCs face commercialization challenges due to durability and economic constraints. Traditional models, especially zero-dimensional (0D) types, lack the depth needed for accurate performance prediction. This paper develops a one-dimensional (1D) PEMFC model to address these limitations, using Python to generate IV and power density curves. Validation against data from the PEPR PEMFC95 project at Lorraine University (UL) demonstrates the model's potential to improve PEMFC design and reliability.
Origine | Fichiers produits par l'(les) auteur(s) |
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