Abstract
Alternative energy sources appear as a suitable solution as the energy demand is growing. Fuel cells are one of the promising devices to face the mentioned energy demand in a green manner. Predicting the behavior of a Polymer Electrolyte Fuel Cell (PEFC) in certain conditions is a useful step to enhance its mechanical properties and understand the impact of the diffusion media and the impact of the inlet reactant gases into the cell. This study aims, based on experimental data, to propose empirical correlations that describe and predict the current density in the function of other parameters measured in a Fuel Cell (FC) such as power density, voltage, anode flow and cathode flow. The approach presented in this study is directed to apply a statistical analysis related to Principal Component Analysis (PCA) to reduce the dimensionality of the involved variable. This study shows the feasibility of describing the behavior of a PEFC with simplified variables. For the proposed correlations, after an adequate selection and treatment of the data, the adjusted R2 is around 0.99 with confidence bounds of 95%.
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The authors kindly acknowledge the financial support from FIMCP-CERA-05-2017 project. Computational and physical resources provided by ESPOL are also very grateful.
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Melo, E., Encalada, Á., Espinoza-Andaluz, M. (2020). Behavior of a Polymer Electrolyte Fuel Cell from a Statistical Point of View Based on Data Analysis. In: Rodriguez Morales, G., Fonseca C., E.R., Salgado, J.P., Pérez-Gosende, P., Orellana Cordero, M., Berrezueta, S. (eds) Information and Communication Technologies. TICEC 2020. Communications in Computer and Information Science, vol 1307. Springer, Cham. https://doi.org/10.1007/978-3-030-62833-8_10
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