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Study on Diffusion Characteristics of Liquid Water in Gas Diffusion Layer by Lattice Boltzmann Method
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Study on Diffusion Characteristics of Liquid Water in Gas Diffusion Layer by Lattice Boltzmann Method

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Abstract:

The gas diffusion layer (GDL) is a crucial component of Proton Exchange Membrane Fuel Cells (PEMFC), water flooding will occur during the operation of PEMFC, resulting in performance degradation, and its water management plays a significant role in PEMFC performance. To investigate the transport mechanism of liquid water in GDL, the lattice Boltzmann method to simulate the behavior of GDL droplets using the 'random reconstruction' method. The accuracy of this model by calculating the tortuosity and comparing it with reported results in literature. The effects of different GDL structural parameters on permeability were studied. Finally, the conductivity and thermal conductivity of the GDL in various directions were examined. The results indicate that the porosity error of the three-dimensional structure model of GDL is within 0.01, enabling a realistic simulation of the GDL structure. The average error between the calculated results and the Bruggeman equation is only 2.5362%, and the average error compared to the reference results is less than 6%, demonstrating the model's high accuracy. As the porosity and fiber diameter of the GDL three-dimensional structure model increase, the permeability also increases. Conversely, the permeability decreases with an increase in the thickness of the GDL three-dimensional structure model. Moreover, an increase in GDL porosity leads to a gradual decrease in electrical conductivity and thermal conductivity in both the thickness and plane directions, with a more pronounced effect on the thickness. This study uncovers the transport characteristics of liquid water in the gas diffusion layer, which can inform the optimization of GDL structure design and serve as a theoretical reference for enhancing water management in proton exchange membrane fuel cells. Future research directions will focus on further optimizing the three-dimensional structure of GDL to improve its transmission characteristics and overall performance.

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International Journal of Engineering Research in Africa Vol. 71 View Preview

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Periodical:

International Journal of Engineering Research in Africa (Volume 71)

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1-16

DOI:

https://doi.org/10.4028/p-3yl8Ms

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Online since:

September 2024

Authors:

Sheng Zheng Ji*, Zhuang Song, Ying He

Keywords:

Gas Diffusion Layer, Lattice Boltzmann Method, Random Reconstruction, Transmission Characteristics

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© 2024 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] Liu Q, Lan F, Chen J, et al. A review of proton exchange membrane fuel cell water management: Membrane electrode assembly[J]. Journal of Power Sources, 2022, 517: 230723.

DOI: 10.1016/j.jpowsour.2021.230723

Google Scholar

[2] Lee H F, Chang J Y, Chen-Yang Y W. Improvement in physical properties of single-layer gas diffusion layers using graphene for proton exchange membrane fuel cells[J]. RSC advances, 2018, 8(40): 22506-22514.

DOI: 10.1039/c8ra02062k

Google Scholar

[3] Liu J, Shin S, Um S. Comprehensive statistical analysis of heterogeneous transport characteristics in multifunctional porous gas diffusion layers using lattice Boltzmann method for fuel cell applications[J]. Renewable Energy, 2019, 139: 279-291.

DOI: 10.1016/j.renene.2019.02.089

Google Scholar

[4] Zhu L, Zhang H, Xiao L, et al. Pore-scale modeling of gas diffusion layers: Effects of compression on transport properties[J]. Journal of Power Sources, 2021, 496:229822-229832.

DOI: 10.1016/j.jpowsour.2021.229822

Google Scholar

[5] Zhang H, Zhan Z, Chen B, et al. Anisotropic transport properties of gas diffusion layerbased on pore-scale model[J]. Journal of Jilin University (Engineering and Technology Edition), 2022,52(09):2055-2062.

Google Scholar

[6] G.R. Molaeimanesh, M. Nazemian. Investigation of GDL compression effects on the performance of a PEM fuel cell cathode by lattice Boltzmann method[J]. Journal of Power Sources, 2017, 359: 494-506.

DOI: 10.1016/j.jpowsour.2017.05.078

Google Scholar

[7] Anyanwu, I. S.; Niu, Z.; Jiao, D.; Najmi, A.; Liu, Z.; Jiao, K. Liquid Water Transport Behavior at GDL-Channel Interface of a Wave-Like Channel[J]. Energies, 2020, 13, 2726-2745.

DOI: 10.3390/en13112726

Google Scholar

[8] Liao J, Yang G, Li S, et al. Effect of Structural Parameters on Mass Transfer Characteristics in the Gas Diffusion Layer of Proton Exchange Membrane Fuel Cells Using the Lattice Boltzmann Method[J]. Energy Fuels, 2021, 35, 2654−2664.

DOI: 10.1021/acs.energyfuels.0c03802

Google Scholar

[9] Lee T, Yang C. A parametric study on the deformation of gas diffusion layer in PEM fuel cell[J]. Journal of Mechanical Science and Technology, 2020, 34, 259− 268.

DOI: 10.1007/s12206-019-1227-8

Google Scholar

[10] Zhu L J, Yang W F, Xiao L S, et al. Stochastically modeled gas diffusion layers: effects of binder and polytetrafluoroethylene on effective gas diffusivity[J]. Journal of the Electrochemical Society, 2021, 168(1): 014514-014525.

DOI: 10.1149/1945-7111/abdc60

Google Scholar

[11] Zhu L, Wang S, Sui P C, et al. Multiscale modeling of an angled gas diffusion layer for polymer electrolyte membrane fuel cells: Performance enhancing for aviation applications[J]. International Journal of Hydrogen Energy, 2021, 46(39): 20702-20714.

DOI: 10.1016/j.ijhydene.2021.03.166

Google Scholar

[12] Molaeimanesh, G. R.; Akbari, M. H. A pore-scale model for the cathode electrode of a proton exchange membrane fuel cell by lattice Boltzmann method[J]. Korean Journal of Chemical Engineering, 2015, 32: 397−405.

DOI: 10.1007/s11814-014-0229-6

Google Scholar

[13] Molaeimanesh, G. R.; Saeidi Googarchin, H.; Qasemian Moqaddam, A. Lattice Boltzmann simulation of proton exchange membrane fuel cells − A review on opportunities and challenges[J]. International Journal of Hydrogen Energy, 2016, 41: 22221−22245.

DOI: 10.1016/j.ijhydene.2016.09.211

Google Scholar

[14] Molaeimanesh, G. R.; Akbari, M. H. Impact of PTFE distribution on the removal of liquid water from a PEMFC electrode by lattice Boltzmann method[J]. International Journal of Hydrogen Energy, 2014, 39: 8401− 8409.

DOI: 10.1016/j.ijhydene.2014.03.089

Google Scholar

[15] W Wu, F Jiang. Microstructure reconstruction and characterization of PEMFC electrodes[J]. International Journal of Hydrogen Energy, 2014, 39(28): 15894–15906.

DOI: 10.1016/j.ijhydene.2014.03.074

Google Scholar

[16] Gao Y, Angel Montana, Chen F , et al. Evaluation of porosity and thickness on effective diffusivity in gas diffusion layer[J]. Journal of Power Sources, 2017, 342(28): 252–265.

DOI: 10.1016/j.jpowsour.2016.12.052

Google Scholar

[17] E. Shakerinejad a, M.H. Kayhani a, M. Nazari, et al. Increasing the performance of gas diffusion layer by insertion of small hydrophilic layer in proton-exchange membrane fuel cells[J]. International Journal of Hydrogen Energy, 2018, 43(4): 2410–2428.

DOI: 10.1016/j.ijhydene.2017.12.038

Google Scholar

[18] Hao L, Cheng P. Capillary pressures in carbon paper gas diffusion layers having hydrophilic and hydrophobic pores[J]. International Journal of Heat and Mass Transfer, 2012, 55(1–3): 133–139.

DOI: 10.1016/j.ijheatmasstransfer.2011.08.049

Google Scholar

[19] Liu Q，Lan F，Chen J, et al. Analysis on Influence of Fiber Pore Characteristics on Liquid Water Transmission of Gas Diffusion Layer in PEMFC [J]. Automotive Engineering, 2022, 44 (07): 1069-1079+1068.

Google Scholar

[20] H.R. Ashorynejad, K. Javaherdeh, Evaluation of passive and active lattice Boltzmann method for PEM fuel cell modeling[J]. Physica A: Statistical Mechanics and its Applications, 2019, 535: 121943.

DOI: 10.1016/j.physa.2019.121943

Google Scholar

[21] M. Mukherjee, C. Bonnet. F. Lapicque, Estimation of through-plane and in-plane gas permeability across gas diffusion layers (GDLs): Comparison with equivalent permeability in bipolar plates and relation to fuel cell performance[J]. International Journal of Hydrogen Energy, 2020, 45(24): 13428–13440.

DOI: 10.1016/j.ijhydene.2020.03.026

Google Scholar

[22] D.H. Jeon, H. Kim. Effect of compression on water transport in gas diffusion layer of polymer electrolyte membrane fuel cell using lattice Boltzmann method[J]. Journal of Power Sources,2015, 294: 393–405.

DOI: 10.1016/j.jpowsour.2015.06.080

Google Scholar

[23] M. Nazemian, G.R. Molaeimanesh. Impact of carbon paper structural parameters on the performance of a polymer electrolyte fuel cell cathode via lattice Boltzmann method[J]. Acta Mechanica Sinica, 2020,36 (2): 367–380.

DOI: 10.1007/s10409-019-00919-1

Google Scholar

[24] S.M. Baek, S.G. Koh, K.N. Kim, et al. A numerical study on the performance of polymer electrolyte membrane fuel cells due to the variation in gas diffusion layer permeability[J]. Journal of Mechanical Science and Technology, 2011,25 (2): 457–467.

DOI: 10.1007/s12206-010-1229-z

Google Scholar

[25] L.i. Chen, H. Luan, Y. Feng, et al. Coupling between finite volume method and Lattice Boltzmann method and its application to fluid flow and mass transport in proton exchange membrane fuel cell[J]. International Journal of Heat and Mass Transfer, 2012, 55(13-14): 3834–3848.

DOI: 10.1016/j.ijheatmasstransfer.2012.02.020

Google Scholar

[26] Gao Y, Jin T, Wu X. Stochastic 3D carbon cloth GDL reconstruction and transport prediction[J]. Energies, 2020, 13: 572-586.

DOI: 10.3390/en13030572

Google Scholar

[27] Espinoza-Andaluz M.; Li T.; Andersson M. Impact of waterdrop presence on diffusion parameters of PEFC gas diffusion layers[J]. Energy Procedia,2019, 158: 1400−1405.

DOI: 10.1016/j.egypro.2019.01.341

Google Scholar

[28] Espinoza-Andaluz M, Andersson M, Sundén B. Modeling of a Gradient Porosity SOFC Anode using the Lattice Boltzmann Method[J]. Energy procedia,2017, 105: 1332−1338.

DOI: 10.1016/j.egypro.2017.03.484

Google Scholar

[29] Froning D, Yu J, Gaiselmann G, et al. Impact of compression on gas transport in non-woven gas diffusion layers of high temperature polymer electrolyte fuel cells[J]. Journal of Power Sources, 2016, 318: 26−34.

DOI: 10.1016/j.jpowsour.2016.03.102

Google Scholar

[30] Gao Y, Wu X, Sun Y. Characterization and diffusion in reconstructed gas diffusion layer based on stochastic method[J]. Journal of Tongji University (Natural Science), 2017, 45(01): 109-118.

Google Scholar

[31] Espinoza M, Sundén B, Andersson M. Impact on diffusion parameters computation in gas diffusion layers, considering the land/channel region, using the lattice Boltzmann method[J]. ECS Transactions, 2016, 75(14): 521-530.

DOI: 10.1149/07514.0521ecst

Google Scholar

[32] Tomadakis M M, Robertson T J. Viscous permeability of random fiber structures: comparison of electrical and diffusional estimates with experimental and analytical results[J]. Journal of Composite Materials, 2005, 39(2): 163-188.

DOI: 10.1177/0021998305046438

Google Scholar

[33] Johnson D L, Koplik J, Schwartz L M. New pore-size parameter characterizing transport in porous media[J]. Physical review letters, 1986, 57(20): 2564-2567.

DOI: 10.1103/physrevlett.57.2564

Google Scholar

[34] Zhang H, Zhu L, Harandi H B, et al. Microstructure reconstruction of the gas diffusion layer and analyses of the anisotropic transport properties[J]. Energy Conversion and Management, 2021, 241: 114293-114305.

DOI: 10.1016/j.enconman.2021.114293

Google Scholar

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