Real-Time Species Distribution Profiling in PEFCs

Author(s):  
Q. Dong ◽  
J. Kull ◽  
M. M. Mench

Knowledge of the species, current, and high frequency resistance distributions within a polymer electrolyte fuel cell (PEFC) is critical to enable prediction of the local performance and accurately quantify various species transport parameters. In micro and portable fuel cell systems, precise knowledge of steady state and dynamic water transport is especially important. This paper examines the distributed prifile of water vapor and other gas phase species in a PEFC, using a novel real-time technique for in situ species distribution measurement within the reactant flow channels of an operating PEFC. This is accomplished with an Agilent Real-Time Gas Analyzer (RTGA) that enables continuous profiling of changing species mole fractions at many locations along the anode and cathode flow paths, and enables detailed understanding of the time scales of the various multi-phase dynamic transport phenomena. Additionally, the periodic presence of liquid water droplets in the cathode can be observed at high current density with this technique.

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1141
Author(s):  
Ángel Encalada-Dávila ◽  
Mayken Espinoza-Andaluz ◽  
Julio Barzola-Monteses ◽  
Shian Li ◽  
Martin Andersson

A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport phenomena are mimicked, transport parameters related to the fluid flow and mass diffusion are computed. The GDLs are approximated to the carbon paper represented as a grouped package of carbon fibers. Several correlations, based on the fiber diameter, to predict their transport properties are proposed. The digitally created GDLs and the transport phenomena have been modeled using the open-source library named Open Pore Network Modeling (OpenPNM). The proposed correlations show a good fit with the obtained data with an R-square of approximately 0.98.


2018 ◽  
Vol 24 (S2) ◽  
pp. 442-443 ◽  
Author(s):  
Kotaro Higashi ◽  
Tomohiro Sakata ◽  
Oki Sekizawa ◽  
Nozomu Ishiguro ◽  
Gabor Samjeske ◽  
...  

2019 ◽  
Vol 33 (1) ◽  
pp. 1443-1450
Author(s):  
Jeffrey Mishler ◽  
Yun Wang ◽  
Rangachary Mukundan ◽  
Rodney L. Borup ◽  
Daniel S. Hussey ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document