PEM Fuel Cell Water Transport - Simulation and Neutron Imaging Experiment

2019 ◽  
Vol 26 (1) ◽  
pp. 179-196 ◽  
Author(s):  
Peng Quan ◽  
Ming-Chia D. Lai
Keyword(s):  
Fuel Cell ◽  
Water Transport ◽  
Pem Fuel Cell ◽  
Neutron Imaging ◽  
Cell Water ◽  
Transport Simulation ◽  
Imaging Experiment

scholarly journals Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions

2010 ◽  
Author(s):  
Satish G. Kandlikar ◽  
Zijie Lu ◽  
Navalgund Rao ◽  
Jacqueline Sergi ◽  
Cody Rath ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Water Transport ◽  
Cell Water ◽  
Performance Characterization ◽  
And Performance

scholarly journals Numerical modeling and performance prediction of water transport for PEM fuel cell

2019 ◽  
Vol 158 ◽  
pp. 2256-2265 ◽  
Author(s):  
Yangbin Shao ◽  
Liangfei Xu ◽  
Jianqiu Li ◽  
Minggao Ouyang
Keyword(s):  
Numerical Modeling ◽  
Fuel Cell ◽  
Water Transport ◽  
Performance Prediction ◽  
Pem Fuel Cell ◽  
And Performance

Condensation Based Pore Network Modelling of Water Transport in Hydrophobic PEM Fuel Cell GDLs

2009 ◽  
Author(s):  
James Hinebaugh ◽  
A. Bazylak
Keyword(s):  
Fuel Cell ◽  
Water Transport ◽  
Liquid Water ◽  
Pem Fuel Cell ◽  
Capillary Forces ◽  
Flow Patterns ◽  
Pore Network ◽  
Gas Diffusion ◽  
Viscous Forces ◽  
Saturation Profile

In this work, a novel pore network model is employed to simulate water transport originating from condensation in the polymer electrolyte membrane (PEM) fuel cell gas diffusion layer (GDL). Liquid water transport follows the rules of invasion percolation with trapping, where two mobile phases are considered. Flow conditions are based on dynamic pressure changes in the network. The GDL is assumed to be a hydrophobic pore network, where capillary forces dominate over gravitational and viscous forces. The model follows a condensation based algorithm that begins with a single nucleation site from where liquid water spreads with continuing condensation. To account for a humidity gradient within the GDL, water flow is assumed to originate from condensation occurring in pores facing the cathode catalyst layer. Modelling parameters and their effect on the saturation profile are discussed. Little impact was found on the saturation profile when trapping logic was made more sophisticated, recognizing conditions leading to air trapping in a single throat. It is shown that saturation profiles for slow flow (i.e. slow condensation rates) can be predicted with reasonable accuracy from a known throat topology alone. However, as condensation rates are increased, raising network viscous forces to levels comparable to network capillary forces, the flow patterns begin to depend on a number of variables such as pore sizes and pore filling rates. At such condensation rates, flow patterns show high sensitivity to variance in condensation rates and become much less predictable from simple geometries.

Sign in / Sign up

Export Citation Format

Share Document