Validation of cell voltage and water content in a PEM (polymer electrolyte membrane) fuel cell model using neutron imaging for different operating conditions

This work presents a one dimensional analytical model developed for a 50 cm2 PEM (polymer electrolyte membrane) fuel cell with five-channel serpentine flow field. The different coupled physical phenomena such as electrochemistry, mass transfer of hydrogen, oxygen and water (two phases) together with heat transfer have been solved simultaneously. The innovation of this work is that the model has been validated with two different variables simultaneously and quantitatively in order to ensure the accuracy of the results. The selected variables are the cell voltage and the water content within the membrane MEA (Membrane Electrode Assembly) and GDL (gas diffusion layers) experimentally measured by means of neutron radiography. The results show a good agreement for a comprehensive set of different operating conditions of cell temperature, pressure, reactants relative humidity and cathode stoichiometry. The analytical model has a relative error less than 3.5% for the value of the cell voltage and the water content within the GDL + MEA for all experiments performed. This result presents a new standard of validation in the state of art of PEM fuel cell modeling where two variables are simultaneously and quantitatively validated with experimental results. The developed analytical model has been used in order to analyze the behavior of the PEM fuel cell under different values of relative humidity.

[1]  Alfredo Iranzo,et al.  Validation of a three dimensional PEM fuel cell CFD model using local liquid water distributions measured with neutron imaging , 2014 .

[2]  Alfredo Iranzo,et al.  Numerical model for the performance prediction of a PEM fuel cell. Model results and experimental va , 2010 .

[3]  W. Tao,et al.  Modeling the temperature distribution and performance of a PEM fuel cell with thermal contact resistance , 2015 .

[4]  K. Sharp,et al.  Liquid droplet behavior and instability in a polymer electrolyte fuel cell flow channel , 2006 .

[5]  Xianguo Li,et al.  Water transport in polymer electrolyte membrane fuel cells , 2011 .

[6]  Frano Barbir,et al.  PEM Fuel Cells: Theory and Practice , 2012 .

[7]  W. Gu,et al.  Beginning‐of‐life MEA performance — efficiency loss contributions , 2010 .

[8]  Wan Ramli Wan Daud,et al.  Water balance for the design of a PEM fuel cell system , 2013 .

[9]  Adam Z. Weber,et al.  Modeling and High-Resolution-Imaging Studies of Water-Content Profiles in a Polymer-Electrolyte-Fuel-Cell Membrane-Electrode Assembly , 2008 .

[10]  Soosan Rowshanzamir,et al.  Modelling and simulation of the steady-state and dynamic behaviour of a PEM fuel cell , 2010 .

[11]  Yun Wang,et al.  Through-Plane Water Distribution in a Polymer Electrolyte Fuel Cell: Comparison of Numerical Prediction with Neutron Radiography Data , 2010 .

[12]  Atilla Biyikoglu,et al.  Review of proton exchange membrane fuel cell models , 2005 .

[13]  Frank P. Incropera,et al.  Fundamentals of Heat and Mass Transfer , 1981 .

[14]  N. Fouquet,et al.  Three-dimensional simulation of polymer electrolyte membrane fuel cells with experimental validation , 2011 .

[15]  Matthew M. Mench,et al.  Fuel Cell Engines , 2008 .

[16]  Xianguo Li,et al.  Experimental measurement of effective diffusion coefficient of gas diffusion layer/microporous layer in PEM fuel cells , 2012 .

[17]  C. Siegel.  Review of computational heat and mass transfer modeling in polymer-electrolyte-membrane (PEM) fuel cells , 2008 .

[18]  F. Rosa,et al.  Update on numerical model for the performance prediction of a PEM Fuel Cell , 2011 .

[19]  Hubert A. Gasteiger,et al.  Dependence of PEM fuel cell performance on catalyst loading , 2004 .

[20]  C. Hochenauer,et al.  Water droplet accumulation and motion in PEM (Proton Exchange Membrane) fuel cell mini-channels , 2012 .

[21]  A. Iranzo,et al.  A novel approach coupling neutron imaging and numerical modelling for the analysis of the impact of water on fuel cell performance , 2014 .

[22]  D. S. Falcão,et al.  Water transport through a PEM fuel cell: A one-dimensional model with heat transfer effects , 2009 .

[23]  C. R. Martin,et al.  Investigations of the O sub 2 reduction reaction at the platinum/Nafion interface using a solid-state electrochemical cell. Technical report , 1991 .

[24]  Jin Hyun Nam,et al.  Effective diffusivity and water-saturation distribution in single- and two-layer PEMFC diffusion medium , 2003 .

[25]  Stefano Cordiner,et al.  3D effects of water-saturation distribution on polymeric electrolyte fuel cell (PEFC) performance , 2011 .

[26]  Chao-Yang Wang,et al.  Fundamental models for fuel cell engineering. , 2004, Chemical reviews.

[27]  M. Akbari,et al.  Numerical investigation of flow field configuration and contact resistance for PEM fuel cell performance , 2008 .

[28]  Michael C. Georgiadis,et al.  Modeling, simulation and experimental validation of a PEM fuel cell system , 2011, Comput. Chem. Eng..

[29]  Alfredo Iranzo,et al.  Investigation of the liquid water distributions in a 50 cm2 PEM fuel cell: Effects of reactants relative humidity, current density, and cathode stoichiometry , 2015 .

[30]  A. Parthasarathy,et al.  Temperature Dependence of the Electrode Kinetics of Oxygen Reduction at the Platinum/Nafion® Interface—A Microelectrode Investigation , 1992 .

[31]  T. Springer,et al.  Polymer Electrolyte Fuel Cell Model , 1991 .

[32]  Keith Scott,et al.  A two-phase flow and non-isothermal agglomerate model for a proton exchange membrane (PEM) fuel cell , 2014 .

[33]  A. Parthasarathy,et al.  Pressure Dependence of the Oxygen Reduction Reaction at the Platinum Microelectrode/Nafion Interface: Electrode Kinetics and Mass Transport , 1992 .

[34]  José C. Páscoa,et al.  Analysis of PEM (Polymer Electrolyte Membrane) fuel cell cathode two-dimensional modeling , 2014 .

[35]  Akeel A. Shah,et al.  Recent trends and developments in polymer electrolyte membrane fuel cell modelling , 2011 .

[36]  M. Koper.  Fuel cell catalysis: a surface science approach. , 2008 .