Volume 19, Issue 7 (July 2019)                   Modares Mechanical Engineering 2019, 19(7): 1663-1674 | Back to browse issues page

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1- Mechanical Engineering Faculty, Babol Noshirvani University of Technology, Babol, Iran
2- Mechanical Engineering Faculty, Babol Noshirvani University of Technology, Babol, Iran , rshafaghat @nit.ac.ir
3- Management & Technology Applications School, Amol University of Special Modern Technologies, Amol, Iran
Abstract:   (4033 Views)
One of the most important factors in decreasing the lifetime and inappropriate performance of PEM electrolyzers is the non-uniform current distribution on membrane surface. Since the smoothest distribution of species and water leads to optimal current distribution, in this research, a 1D- 1D model has been developed that explores the distribution of species and water, and finally the current distribution in layers and determines the optimal performance conditions of the high PEM membrane electrolyzers. In this model, the pressure is assumed constant throughout the channel, the cell temperature is constant, and the membrane is fully hydrated. The length of the anode and cathode channels is divided into 20 equal parts. By simultaneously solving the equations along the channel and perpendicular to it in each section, the distribution of species and current are obtained. The result showed that by increasing the average flow density, the flow distribution is smoother along the channel and, with increasing water flow, the current distribution is smoothed, but it has little effect on the polarization curve. Fick's effect on the distribution of species at the interface between the membrane and the gas diffusion layer has been investigated. Finally, the effect of thickness on the polarization curve is determined. By increasing the thickness of the membrane and the electrodes, the function of the system decreases.
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Article Type: Original Research | Subject: Fuel Cell
Received: 2018/05/6 | Accepted: 2018/12/24 | Published: 2019/07/1

References
1. Abdol Rahim AH, Salami Tijani A, Kamarudin SK, Hanapi S. An overview of polymer electrolyte membrane electrolyzer for hydrogen production: Modeling and mass transport. Journal of Power Sources. 2016;309:56-65. [Link] [DOI:10.1016/j.jpowsour.2016.01.012]
2. Kim H, Park M, Lee KS. One-dimensional dynamic modeling of a high-pressure water electrolysis system for hydrogen production. International Journal of Hydrogen Energy. 2013;38(6):2596-2609. [Link] [DOI:10.1016/j.ijhydene.2012.12.006]
3. Marangio F, Santarelli M, Calì M. Theoretical model and experimental analysis of a high pressure PEM water electrolyser for hydrogen production. International Journal of Hydrogen Energy. 2009;34(3):1143-1158. [Link] [DOI:10.1016/j.ijhydene.2008.11.083]
4. Lebbal ME, Lecœuche S. Identification and monitoring of a PEM electrolyser based on dynamical modelling. International Journal of Hydrogen Energy. 2009;34(14):5992-5999. [Link] [DOI:10.1016/j.ijhydene.2009.02.003]
5. Dedigama I, Ayers K, Shearing PR, Brett DJL. An experimentally validated steady state polymer electrolyte membrane water electrolyser model. International Journal of Electrochemical Science. 2014;9(5):2662-2681. [Link]
6. Fritz III DL, Mergel J, Stolten D. PEM electrolysis simulation and validation. ECS Transactions. 2014;58(19):1-9. [Link] [DOI:10.1149/05819.0001ecst]
7. Choi P, Bessarabov DG, Datta R. A simple model for Solid Polymer Electrolyte (SPE) water electrolysis. Solid State Ionics. 2004;175(1-4):535-539. [Link] [DOI:10.1016/j.ssi.2004.01.076]
8. Görgün H. Dynamic modelling of a Proton Exchange Membrane (PEM) electrolyzer. International Journal of Hydrogen Energy. 2006;31(1):29-38. [Link] [DOI:10.1016/j.ijhydene.2005.04.001]
9. Dale NV, Mann MD, Salehfar H. Semiempirical model based on thermodynamic principles for determining 6 kW proton exchange membrane electrolyzer stack characteristics. Journal of Power Sources. 2008;185(2):1348-1353. [Link] [DOI:10.1016/j.jpowsour.2008.08.054]
10. Santarelli M, Medina P, Calì M. Fitting regression model and experimental validation for a high-pressure PEM electrolyzer. International Journal of Hydrogen Energy. 2009;34(6):2519-2530. [Link] [DOI:10.1016/j.ijhydene.2008.11.036]
11. Awasthi A, Scott K, Basu S. Dynamic modeling and simulation of a proton exchange membrane electrolyzer for hydrogen production. International Journal of Hydrogen Energy. 2011;36(22):14779-14786. [Link] [DOI:10.1016/j.ijhydene.2011.03.045]
12. Abdin Z, Webb CJ, Gray EM. Modelling and simulation of a Proton Exchange Membrane (PEM) electrolyser cell. International Journal of Hydrogen Energy. 2015;40(39):13243-13257. [Link] [DOI:10.1016/j.ijhydene.2015.07.129]
13. Onda K, Murakami T, Hikosaka T, Kobayashi M, Notu R, Ito K. Performance analysis of polymer-electrolyte water electrolysis cell at a small-unit test cell and performance prediction of large stacked cell. Journal of The Electrochemical Society. 2002;149(8):A1069-A1078. [Link] [DOI:10.1149/1.1492287]
14. Bernardi DM, Verbrugge MW. Mathematical model of a gas diffusion electrode bonded to a polymer electrolyte. AIChE Journal. 1991;37(8):1151-1163. [Link] [DOI:10.1002/aic.690370805]

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