Modelling of temperature distribution in a solid polymer electrolyte fuel cell stack |
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| Affiliation: | 1. Istituto CNR-TAE, via Salita S. Lucia sopra Contesse 39, 98126 Santa Lucia, Messina, Italy;2. De Nora Permelec SpA, via Bistolfi 35, 20134 Milan, Italy;1. Fuel Cell Energy System Laboratory, Department of Automobile Engineering, PSG College of Technology, Coimbatore, 641004, India;2. Department of Mechanical Engineering, Nandha Engineering College, Erode, 638052, India;3. Electrochemical Energy Laboratory, Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur, 603203, India;4. Department of Chemical Engineering, Hanyang University, Seoul, 133-791, Republic of Korea;5. Department of Hydrogen and Fuel Cell Technology, Hanyang University, Seoul, 133-10791, Republic of Korea;1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, PR China;2. Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, Shanghai, 200240, PR China |
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| Abstract: | The production of electricity in a fuel cell system is associated with the production of an equivalent amount of thermal energy, both for large size power plants and for transportation applications. The heat released by the cells must be removed by a cooling system, characterized by its small size and weight, which must be able to assure uniform work conditions and reduce performance losses. Based upon realistic assumptions, a mathematical model has been developed to determine the temperature and current density distribution in a solid polymer electrolyte fuel cell (SPEFC) stack as a function of operating conditions and stack geometry. The model represents a useful tool to identify operating conditions, such as to have an optimal longitudinal and axial temperature profile, so allowing the design of cooling system and bipolar plates. In this paper, the model has been applied to determine the temperature profile of an experimental SPEFC stack. The model is validated by comparing model results with experimental measurements; simulated and experimental results agree satisfactorily. |
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