Stochastic reconstruction of carbon fiber paper gas diffusion layers of PEFCs: A comparative study

Document Type: Research Paper

Authors

1 Renewable Energy Research Center, Mechanical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran

2 Department of Mechanical Engineering, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran

3 Fuel cell research and Technology center, Mechanical Dept. Babol Noshirvani University of Technology, babol , Mazandaran

4 School of Mechanical Engineering, University of Tehran, Tehran, Iran

Abstract

A 3D microstructure of the non-woven gas diffusion layers (GDLs) of polymer electrolyte fuel cells (PEFCs) is reconstructed using a stochastic method. For a commercial GDL, due to the planar orientation of the fibers in the GDL, 2D SEM image of the GDL surface is used to estimate the orientation of the carbon fibers in the domain. Two more microstructures with different fiber orientations are generated and compared. The method is verified by comparing the commercial GDL (Toray TGP-H-060) model properties with other simulations or real GDL data. Three different reconstructed models are compared in terms of permeability, and the 3D pore size distribution of the models is also investigated. Through-plane (TP) and in-plane (IP) tortuosity, and the effects of binder addition on tortuosity are also discussed. For the TGH-H-060, tortuosity is derived to be 0.93, 1.50, and 1.42 in IP-x, IP-y, and TP-z directions, respectively. It is shown that adding binders to the fibrous skeleton increases the tortuosity of the pore phase.

Keywords


[1]  Wang Y., A Review of Polymer Electrolyte Membrane Fuel Cells, Technology, Applications, and Needs on Fundamental Research, Applied Energy (2011) 88(4):981-1007.

[2] Barbir F., PEM Fuel Cells, Theory and Practice (2013) Academic Press.

[3] Wilkinson D.P., Proton Exchange Membrane Fuel Cells, Materials Properties and Performance (2009) CRC Press.

[4] Fadzillah D.M., Review on Microstructure Modelling of a Gas Diffusion Layer for Proton Exchange Membrane Fuel Cells, Renewable and Sustainable Energy Reviews (2016).

[5] Shojaeefard M.H., A Review on Microstructure Reconstruction of PEM Fuel Cells Porous Electrodes for Pore Scale Simulation, International Journal of Hydrogen Energy (2016) 41(44): 20276-20293.

[6] James J.P., Choi H.W., Pharoah J.G., X-Ray Computed Tomography Reconstruction and Analysis of Polymer Electrolyte Membrane Fuel Cell Porous Transport Layers, International Journal of Hydrogen Energy (2012)37(23): 18216-18230.

[7] Becker J., Determination of Material Properties of Gas Diffusion Layers, Experiments and Simulations Using Phase Contrast Tomographic Microscopy, Journal of The Electrochemical Society (2009)156(10): B1175-B1181.

[8] Fishman Z., Hinebaugh J., Bazylak A., Microscale Tomography Investigations of Heterogeneous Porosity Distributions of PEMFC GDLs, Journal of the Electrochemical Society (2010) 157(11): B1643-B1650.

[9] Ostadi H., 3D Reconstruction of a Gas Diffusion Layer and a Microporous Layer, Journal of Membrane Science (2010) 351(1–2): 69-74.

[10] Baniassadi M., Three-Dimensional Reconstruction and Homogenization of Heterogeneous Materials Using Statistical Correlation Functions and FEM, Computational Materials Science (2012) 51(1): 372-379.

[11] Sheidaei A., 3-D Microstructure Reconstruction of Polymer Nano-Composite Using FIB–SEM and Statistical Correlation Function, Composites Science and Technology (2013) 80: 47-54.

[12] Hinebaugh J., Bazylak A., Stochastic Modeling of Polymer Electrolyte Membrane Fuel Cell Gas Diffusion Layers – Part 1: Physical Characterization, International Journal of Hydrogen Energy (2017).

[13] Yiotis A.G., Microscale Characterisation of Stochastically Reconstructed Carbon Fiber-Based Gas Diffusion Layers, Effects of Anisotropy and Resin Content, Journal of Power Sources (2016)320: 153-167.

[14] Wu W., Jiang F., Microstructure Reconstruction and Characterization of PEMFC Electrodes, International Journal of Hydrogen Energy (2014) 39(28): 15894-15906.

[15] Tayarani-Yoosefabadi Z., Stochastic Microstructural Modeling of Fuel Cell Gas Diffusion Layers and Numerical Determination of Transport Properties in Different Liquid Water Saturation Levels, Journal of Power Sources (2016) 303: 208-221.

[16] Mukherjee P.P., Kang Q., Wang C.-Y., Pore-Scale Modeling of Two-Phase Transport in Polymer Electrolyte Fuel Cells-Progress and Perspective, Energy & Environmental Science (2011) 4(2): 346-369.

[17] Schladitz K., Design of Acoustic Trim Based on Geometric Modeling and Flow Simulation for Non-Woven, Computational Materials Science (2006) 38(1): 56-66.

[18] Thiedmann R., Stochastic 3D Modeling of the GDL Structure in PEMFCs Based on Thin Section Detection, Journal of the Electrochemical Society (2008)155(4): B391-B399.

[19] Ohser J., Schladitz K., 3D Images of Materials Structures: Processing and Analysis (2009)Wiley.

[20] Hinebaugh J., Gostick J., Bazylak A., Stochastic Modeling of Polymer Electrolyte Membrane Fuel Cell Gas Diffusion Layers – Part 2, A Comprehensive Substrate Model with Pore Size Distribution and Heterogeneity Effects, International Journal of Hydrogen Energy (2017).

[21] Schneider C.A., Rasband W.S., Eliceiri K.W., NIH Image to Image J, 25 years of Image Analysis, Nat Meth (2012) 9(7): 671-675.

[22] Mathias M.F., Diffusion Media Materials and Characterisation, In Handbook of Fuel Cells (2010) John Wiley & Sons, Ltd.

[23] El Hannach M., Kjeang E., Stochastic Microstructural Modeling of PEFC Gas Diffusion Media. Journal of The Electrochemical Society (2014) 161(9): F951-F960.

[24] Pant L.M., Mitra S.K., Secanell M., Absolute Permeability and Knudsen Diffusivity Measurements in PEMFC gas Diffusion Layers and Micro Porous Layers, Journal of Power Sources (2012)206: 153-160.

[25] Cooper S.J., Microstructural Analysis of an LSCF Cathode Using in Situ Tomography and Simulation. ECS Transactions (2013)57(1): 2671-2678.

[26] Didari S., Modeling of Composite Fibrous Porous Diffusion Media. International Journal of Hydrogen Energy (2014)39(17): 9375-9386.

[27] Hao L., Cheng P., Lattice Boltzmann Simulations of Anisotropic Permeabilities in Carbon Paper Gas Diffusion Layers, Journal of Power Sources (2009)186(1): 104-114.

[28] Whitaker S., The Method of Volume Averaging (2013) Springer Netherlands.