Electrified propulsion systems with hydrogen-fueled fuel cells can potentially reduce carbon dioxide emissions from aircraft. However, achieving a substantial increase in the gravimetric/volumetric power density of fuel cell systems poses a considerable challenge. In this study, we focus on polymer electrolyte membrane fuel cells (PEMFCs) working between 100 and 200°C. To design an optimized PEMFC structure for an electric aircraft, we have developed a numerical model that employs the finite element method (FEM) (COMSOL Multiphysics) to couple electrochemistry, gas diffusive and convective transports, and heat transfer in fuel cell components such as separators, gas flow channels, gas diffusion layers, catalyst layers, and a PEM1)2). We thereby three-dimensionally visualized the current, hydrogen, oxygen, and water vapor concentration distributions, as well as the temperature distributions, assuming conditions in aircraft operations. Moreover, we developed a machine learning model from the data outputs of the FEM model, which serves as training data, to reduce the computational costs for the fuel cell stack design incorporated in a system-level numerical model.AcknowledgementThis study is based on results obtained from a project, JPNP14004, commissioned by the New Energy and Industrial Technology Development (NEDO). We are indepted to Boeing Research & Technology, Boeing Japan for their support and discussions. We are also grateful to Professor Motoaki Kawase of Kyoto University for his fruitful suggestions. Thanks are offered to Professor Kohei Ito and Associate Professor Tatsumi Kitahara of Kyushu University for their valuable discussions.References1) Ö. Aydın, T. Ochiai, H. Nakajima, T. Kitahara, K. Ito, Y. Ogura, J. Shimano, Mass transport limitation in inlet periphery of fuel cells: Studied on a planar Solid Oxide Fuel Cell, Int. J. Hydrogen Energy, 43 (2018) 17420–17430. https://doi.org/10.1016/j.ijhydene.2018.07.0302) X. Wang, H. Nakajima, Y. Iwanaga, K. Ito, Numerical and experimental investigation of a cathode-supported microtubular solid oxide electrolysis cell from current and temperature variations in-situ assessed with electrode-segmentation method, J. Energy Storage, 72 (2023) 108459. https://doi.org/10.1016/j.est.2023.108459
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