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Dataset of the liquid water distribution in a biomimetic PEM fuel cell.
Iranzo, Alfredo; González Morán, Laura; Cabello González, G M; Toharias, Baltasar; Boillat, Pierre; Rosa, Felipe.
Afiliação
  • Iranzo A; Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, 41092, Seville, Spain.
  • González Morán L; ENGREEN - Laboratory of Engineering for Energy and Environmental Sustainability, Universidad de Sevilla, 41092, Seville, Spain.
  • Cabello González GM; Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, 41092, Seville, Spain.
  • Toharias B; Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, 41092, Seville, Spain.
  • Boillat P; Thermal Engineering Group, Energy Engineering Department, School of Engineering, University of Seville, 41092, Seville, Spain.
  • Rosa F; Electrochemistry Laboratory and Neutron Imaging and Activation Group, Paul Scherrer Institute, 5232, Villigen, Switzerland.
Data Brief ; 54: 110484, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38774241
ABSTRACT
This dataset gathers the initial formation and the evolution of water content and distribution, as well as water evacuation, within a lung-inspired PEM (proton exchange membrane) fuel cell with a 50 cm2 active area for various operating conditions such as cell pressure, relative humidity of the reactant (anode and cathode), temperature, and cell current density. Neutron imaging was used since it has been shown to be an effective technique for quantitative analysis of water distribution, obtaining the thickness of the water with the Lambert-Beer law, thus obtaining the numerical data that composes the tables and graphs in this dataset. A series of videos compiling the individual images obtained through neutron imaging, showing the water distribution evolution are presented. Numerical and graphical compilation of the amount of water in a cell through time in different regions of the cell and for a total of 10 experiments are provided. This dataset provides a deeper knowledge on the complex phenomena that liquid water is subjected to in fuel cells along time, as well as a basis for an experimental validation for Computational Fluid Dynamics (CFD) simulations.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article