Fabrication of gas diffusion electrode via Pt electrodeposition on cathodic oxidized carbon paper as the anode for high-temperature polymer membrane fuel cell in the presence of CO

Ionics ◽  
2019 ◽  
Vol 25 (8) ◽  
pp. 3549-3560 ◽  
Author(s):  
Neda Afsham ◽  
Narges Fallah ◽  
Bahram Nassernejad ◽  
Mehran Javanbakht ◽  
Zeinab Jabbari
2014 ◽  
Vol 246 ◽  
pp. 63-67 ◽  
Author(s):  
Huaneng Su ◽  
Ting-Chu Jao ◽  
Sivakumar Pasupathi ◽  
Bernard Jan Bladergroen ◽  
Vladimir Linkov ◽  
...  

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.


2014 ◽  
Vol 21 (6) ◽  
pp. 1319-1326 ◽  
Author(s):  
S. H. Eberhardt ◽  
F. Marone ◽  
M. Stampanoni ◽  
F. N. Büchi ◽  
T. J. Schmidt

Synchrotron-based X-ray tomographic microscopy is investigated for imaging the local distribution and concentration of phosphoric acid in high-temperature polymer electrolyte fuel cells. Phosphoric acid fills the pores of the macro- and microporous fuel cell components. Its concentration in the fuel cell varies over a wide range (40–100 wt% H3PO4). This renders the quantification and concentration determination challenging. The problem is solved by using propagation-based phase contrast imaging and a referencing method. Fuel cell components with known acid concentrations were used to correlate greyscale values and acid concentrations. Thus calibration curves were established for the gas diffusion layer, catalyst layer and membrane in a non-operating fuel cell. The non-destructive imaging methodology was verified by comparing image-based values for acid content and concentration in the gas diffusion layer with those from chemical analysis.


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