4.7 Article

Numerical and experimental analysis of liquid water distribution in PEM fuel cells

Journal

ENERGY CONVERSION AND MANAGEMENT
Volume 189, Issue -, Pages 167-183

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2019.03.082

Keywords

Computational fluid dynamics; Proton exchange membrane fuel cells; Neutron imaging; Experimental validation; Multiphase

Funding

  1. EU FP7 Programme through Fuel Cells and Hydrogen Joint Undertaking [325275]
  2. Croatian Science Foundation [IP-11-2013-8700]
  3. STIM - REI [KK.01.1.1.01.0003]
  4. European Union through the European Regional Development Fund - the Operational Programme Competitiveness and Cohesion [KK.01.1.1.01.]

Ask authors/readers for more resources

Liquid water distribution inside PEM fuel cell is investigated via interactive combination of CFD analysis and neutron imaging on a single 100 cm(2) PEM fuel cell. The analysis is conducted with novel anode flow field designed for improved liquid water removal from the cell at higher currents. Numerical and experimental results show good agreement due to the incorporated experimental structural parameters for the membrane-electrode assembly and properly defined membrane water content parameters in conjunction with electro-osmotic drag and back-diffusion expressions in the numerical model. Methodology for achieving such accurate results is shown in detail in this work and complete lists of numerical parameters are provided for developing such numerical model. The CFD model also incorporates new multiphase model with enhanced heat and mass transfer capabilities for water phase change treatment as well as absorption and desorption modelling. This new approach is used to thoroughly study liquid water distribution inside the cell for dry and humid cases, as well as for co-flow vs. counter-flow configuration while the emphasis is directed towards liquid water distribution inside the porous media where condensation predominantly occurs. The robustness of the developed CFD model is demonstrated in its ability to accurately predict water pooling at lower currents, a phenomenon which could previously be only experimentally observed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available