COMSOL Modeling of Taguchi Optimized PEM Fuel Cell Arrays for Maximum Driving Capabilities
How to Cite?
Jyoti Lalotra, Parveen Kumar Lehana, "COMSOL Modeling of Taguchi Optimized PEM Fuel Cell Arrays for Maximum Driving Capabilities," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 140-150, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P216
Abstract
PEM fuel cell provides alternative green energy with several advantages like high power density, low operating temperature, low emission, quiet operation, fast start-up, and fast shutdown. PEM fuel cell uses a solid polymer electrolyte membrane, an electrolyte, and two platinum electrodes. Nowadays, these are commonly available for automobile applications. A single fuel cell produces about one volt and a few milliamperes of current. To increase the power, multiple cells are stacked together in arrays of series and parallel configurations. In this paper, for further increase of power, a parallel array of six fuel cells connected in series in hexagonal shape are used as the building block for enhancement of current driving capabilities. Power optimization was carried out using COMSOLMultiphysics and Taguchi method. For optimization, it has been assumed that an equal amount of gases flows through the cells results in an equal amount of generated current in identical configurations.
Keywords
PEM fuel cell, Electrolyte, COMSOL, Power, Gases flow.
Reference
[1] I. Dincer, Technical, Environmental and Exergetic Aspects of Hydrogen Energy Systems, International Journal of Hydrogen Energy, 27(3) (2002) 265-285.
[2] E. Andrea, M. Ma˜nana, A. Ortiz, C. Renedo, L. Egu´?luz, et al., A Simplified Electrical Model of Small PEM Fuel Cell, University of Cantabria, Spain, 1(4) (2006) 281-284.
[3] O. Yarguddi, Anjali and A. Dharme, Fuel Cell Technology: A Review, International Journal of Engineering Research and Technology, 3 (2014) 14668-14673.
[4] S.S.L. Rao, A. Shaija, and S. Jayaraj, Optimization of Operating Parameters to Maximize the Current Density Without Flooding at the Cathode Membrane Interface of a PEM Fuel Cell Using Taguchi Method and Genetic Algorithm, International Journal of Energy and Environment,5(3) (2014) 335-352.
[5] V. Pavanan, and L.Varadharajan, Optimization of various Parameters for the Performance Enhancement of PEM Fuel Cell, Indian Journal of Science and Technology, 11(1) (2018) 1-7.
[6] P. Agnihotri, and V.N. Lad, Membrane-less Fuel Cells: Microfluidic Fuel Cells, Afro - Asian International Conference on Science, Engineering & Technology, AAICSET, (2015) 27-28.
[7] J. H. Jang, W.M. Yan, and C.C. Shih, Effects of the Gas Diffusion- Layer Parameters on Cell Performance of PEM Fuel Cells, Journal of Power Sources, 161(1) (2006) 323-332.
[8] M.Y.Ferng and Ay. Su, A Three-Dimensional Fuel-Cell CFD Model Used to Investigate the Effects of Different Flow Channel Designs on PEMFC Performance, International Journal of Hydrogen Energy, 32(17) (2007) 4466–4476.
[9] Y.G.Yoon, W.L. Lee, G.G. Park, T. H.Yang, and C. S. Kim, Effects of Channel and Rib Widths of Flow Field Plates on the Performance of a PEMFC, International Journal of Hydrogen Energy, 30(12) (2005) 1363–1366.
[10] L. Wang, A. Husar, T. Zhou, and H. Liu, A Parametric Study of PEM Fuel Cell Performances, International Journal of Hydrogen Energy, 28(11) (2003) 1263-1272.
[11] S. Shimpalee, S. Greenway, and J. W. Van Zee, The Impact of Channel Path Length on PEMFC Flow Field Design, Journal of Power Sources, 160(1) (2006) 398-406.
[12] P. Karthikeyan, M. Muthukumar, S.V. Shanmugam, P.P. Kumar, S. Muralib, et al., Optimization of Operating and Design Parameters on Proton Exchange Membrane Fuel Cell by using Taguchi method, International Conference on Design and Manufacturing, IConDM, Procedia Engineering, 64 (2013) 409–418.
[13] T. Y. Chen, C.H. Chen, and C.H. Chen, The Experimental Study of the Effect of Flow Pattern Geometry on Performance of Micro Proton Exchange Membrane Fuel Cell, International Journal of Mechanical and Mechatronics Engineering, 3(7) (2009) 803-807.
[14] W.L. Yu, S.J. Wu, and S.W. Shiah, Parametric analysis of the proton exchange membrane fuel cell performance using design of experiments, International Journal of Hydrogen Energy, 33(9) (2008) 2311-2322.
[15] S. Kaytakoglu and L. Akyalcm, Optimization of Parametric Performance of a PEMFC, International Journal of Hydrogen Energy, 32(17) (2007) 4418-4423.
[16] K.H. Fahim, E.M. Alfayydh, and H.A. Dhahad, Effect of Geometric Design of the Flow Fields Plat on the Performance of A PEM Fuel Cell: A Review, International Journal of Scientific & Engineering Research , 8(7) (2017) 25-34.
[17] B.M. Gopalsamy, B. Mondal, and S. Ghosh, Taguchi method and ANOVA: an approach for porous parameter optimization of hard machining while machining hardened steel, Journal of Scientific and Industrial Research, 68 (2009) 686-695.
[18] A.M. Titu, A.V. Sandu, A.B. Pop, S. Titu, and T.C. Ciungu, The Taguchi Method Application to Improve the Quality of a Sustainable Process, IOP Conference Series: Materials Science and Engineering, 374 (2018) 1-7.
[19] J.Chandrasheker, B.Vidyasagar, M.V. Reddy, and T. Praveen,Experimental Investigation of Turning of EN-9 using Taguchi Approach,International Journal of Engineering Trends and Technology, 46(7) (2017) 379-386.
[20] S. Athreya, and Y. D.Venkatesh, Application Of Taguchi Method For Optimization of Process Parameters In Improving The Surface Roughness Of Lathe Facing Operation, International Refereed Journal of Engineering and Science, 1(3) (2012) 13-19.
[21] A.C. Mitra, M. Jawarkar, T. Soni, and G.R. Kiranchand, Implementation of Taguchi Method for Robust Suspension Design, 12th International Conference on Vibration Problems, ICOVP 2015, ProcediaEngineering, 144 (2016) 77–84.
[22] V.K. Modi, and D.A. Desai, Review of Taguchi Method, Design of Experiment (DOE) & Analysis of Variance (ANOVA) for Quality Improvements Through Optimization in Foundry, Journal of Emerging Technologies and Innovative Research, 5(1) (2018) 184- 194.
[23] I.O. Fagbolagun, and S.A. Oke, The Optimization of Packaging System Process Parameters Using Taguchi Method, International Journal of Industrial Engineering and Engineering Management, 2(1) (2020) 1-13.
[24] E. Ginting, and M.M. Tambunan, Selection of Optimal Factor Level from Process Parameters in Palm Oil Industry, IOP Conference Series: Materials Science and Engineering, 288 (2018) 1-6.
[25] D.M. Arya V. Chaturvedi, and J. Vimal, Application of Signal to Noise Ratio Methodology for Optimization of MIG Welding Process Parameters, International Journal of Engineering Research and Applications, 3(4) (2013) 1904-1910.