Regresar

Behavior of a Polymer Electrolyte Fuel Cell from a Statistical Point of View Based on Data Analysis

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. Pbkp_redicting 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 pbkp_redict 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%.