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Dataset of the liquid water distribution in a biomimetic PEM fuel cell

Authors :
Alfredo Iranzo
Laura González Morán
G.M. Cabello González
Baltasar Toharias
Pierre Boillat
Felipe Rosa
Source :
Data in Brief, Vol 54, Iss , Pp 110484- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

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.

Details

Language :
English
ISSN :
23523409 and 18208274
Volume :
54
Issue :
110484-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.f18208274adf407eaa4556c916e0af4a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2024.110484