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

作者: Ester Melo , Ángel Encalada , Mayken Espinoza-Andaluz

DOI: 10.1007/978-3-030-62833-8_10

关键词:

摘要: Alternative energy sources appear as a suitable solution the demand is growing. Fuel cells are one of promising devices to face mentioned in green manner. Predicting behavior Polymer Electrolyte Cell (PEFC) certain conditions useful step enhance its mechanical properties and understand impact diffusion media inlet reactant gases into cell. This study aims, based on experimental data, propose empirical correlations that describe predict current density function other parameters measured (FC) such power density, voltage, anode flow cathode flow. The approach presented this directed apply statistical analysis related Principal Component Analysis (PCA) reduce dimensionality involved variable. shows feasibility describing PEFC with simplified variables. For proposed correlations, after an adequate selection treatment adjusted R2 around 0.99 confidence bounds 95%.

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