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Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach

Received: 27 February 2020     Accepted: 9 March 2020     Published: 17 March 2020
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Abstract

A dynamic numerical simulation has been carried out using the Matlab Simulink tool for simulation of a hybrid Power generation system using wind turbine (400w) and a fuel cell of Proton Exchange Membrane (PEM). The system has a battery banc to store excess energy not consumed by the load, and an electrolyzer when wind power is unavailable. The numerical model has been developed through blocks of Simulink that contains the data and the system parameters, considering the different elements and characteristics of the different elements of the system. The hybrid system supplies at least 3 hours a day, at 2000 Whr / day. Experiments were conducted using PEM fuel cell type to collect different characteristics of the hybrid system. It was found that the hybrid system efficiency can be increased using more fuel cells in series and the active area of the battery. The numerical model that has been represented in Simulink / Matlab and was validated with the experimental data obtained after the fuel Cell setup. Good agreement has been obtained between the experimental data and the model presented.

Published in International Journal of Sustainable and Green Energy (Volume 9, Issue 1)

This article belongs to the Special Issue Hybrid Systems for Power Generation in Remote Areas

DOI 10.11648/j.ijrse.20200901.11
Page(s) 1-15
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Wind Turbine, PEM Fuel Cell, Dynamic Simulation, MATLAB Simulink and Model Validation

References
[1] Amphlett, J., Baumert, R., Mann, R., Peppley, B., Roberge, P., & Harris, T. (1995). Performance Modeling of the Ballard Mark IV Solid Polymer Electrolyte Fuel Cell. I. Mechanistic Model Development, 9-15.
[2] Esmaeili, S., & Shafiee, M. (2010). Simulation of Dynamic Response of Small Wind-Photovoltaic-Fuel Cell Hybrid Energy System. Smart Grid and Renewable Energy, 194-203.
[3] Khan, M., & Iqbal, M. (2005). Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system. Renewable Energy, 421-439.
[4] Khater, H., Abdelraouf, A., & Beshr, M. (2011). Optimum Alkaline Electrolyzer-Proton Exchange Membrane Fuel Cell Coupling in a Residential Solar Stand-Alone Power System. International Scholarly Research Network, 13-26.
[5] Marín Calle, E. (2017). Simulación dinámica de Sistema Hibrido (Pila Combustible PEM y Panel solar Fotovoltaico) para una vivienda tipo de hasta 1200 Wh/día. Thesis, Catholic University of Cuenca: http://dspace.ucacue.edu.ec/handle/reducacue/8128.
[6] Ogawa, T., Takeuchi, M., & Kajikawa, Y. (2018). Analysis of Trends and Emerging Technologies in Water Electrolysis Research Based on a Computational Method: A Comparison with Fuel Cell Research. Hydrogen Economy: Technology and Social Issue, 1-24.
[7] Onar, O., Uzunoglu, M., & Alam, M. (2006). Dynamic modeling, design and simulation of a wind/fuel cell/ultra-capacitor-based hybrid power generation system. Journal of Power Sources, 707-722.
[8] Sami, S., & Garzón, J. (2017). Thermal Analysis of Biomass / Gas Turbine and Wind Turbine Hybrid Systems for Electricity Generation and District Heating. International Journal of Current Research, 48662-48672, Volume 9, Issue.
[9] Sami, S., & Marin Calle, E. (2018). Dynamic Modeling, and Simulation of Hybrid Solar Photovoltaic, and PEMFC Fuel Cell Power System. RA JOURNAL OF APPLIED RESEARCH, 1666-1683, ISSN: 2394-6709, DOI: 10.31142 / Slitting / v4i5.02 (pp. Volume 04 Issue: Page No.- 1666-1683.).
[10] Smithsonian Institution. (2020, 01 09). PEM Fuel Cell., https://americanhistory.si.edu/fuelcells/pem/pemmain.htm.
[11] UPS Battery Center, L. (2020, 01 09). UPS BATTERY CENTER - How to Calculate Battery Capacity. upsbatterycenter.com Coincil, GW (2017). Global Wind Energy Coincil. Global Wind Energy, http://gwec.net/global-figures/graphs/.
[12] MathWorks. (2015). MATLAB & Simulink User's Guide. Maxwell.com. (Nd). Maxwell. www.maxwell.com.
[13] San Martin, JI, Zamora, I., Aperribay, V., & Eguia, P. (2009). Thirteenth Regional meeting Ibero American Cigré. Analysis of the dynamic behavior of a fuel cell PEMFC. Puerto Iguazu, Argentina. teach, t. (Nd). tes teach. https://www.tes.com/lessons/BBxaBaiZx25Plg/hydrogen.
[14] A. Kirubakaran and Rajesh Nema, (2009), The PEM fuel cell system with DC/DC boost converter Design, modeling and simulation, International Journal of Recent Trends in Engineering, Vol 1, No. 3, May 2009.
[15] M. J. Khan, and T. Iqbal, (2003), Dynamic Modeling and Simulation of a Small Wind-Fuel Cell Hybrid Energy System, The 28th Annual Conference of the Solar Energy Society of Canada, August 18 to 20, 2003, Queen's University, Kingston, Canada.
[16] A. A. Salam, A. Mamemod, M Hannan, (2008), Modeling and Simulation of a PEM Fuel Cell System Under Various Temperature Conditions, 2nd WSEAS/IASME International Conference on RENEWABLE ENERGY SOURCES (RES'08) Corfu, Greece, October 26-28, 2008.
[17] Ahmed G. Abo-Khalil, Dong-Choon Lee, (2006) Dynamic Modeling and Control of Wind Turbines for Grid-Connected Wind Generation System, IEEE Annual Power Electronics Specialists Conference DOI: 10.1109/PESC.2006.1712187, 2006.
[18] ABRAM PERDANA, (2008), Dynamic Models of Wind Turbines, THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY, Dynamic Models of Wind Turbines A Contribution towards the Establishment of Standardized Models of Wind Turbines for Power System Stability, Division of Electric Power Engineering Department of Energy and Environment CHALMERS UNIVERSITY OF TECHNOLOGY, Goteborg, Sweden 2008.
[19] AIR403. (Nd) (2016), The New 400-Watt turbine. Arizona, USA: Southwest Windpower, Inc.
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Cite This Article
  • APA Style

    Samuel Sami, Cristian Cango, Edwin Marin. (2020). Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach. International Journal of Sustainable and Green Energy, 9(1), 1-15. https://doi.org/10.11648/j.ijrse.20200901.11

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    ACS Style

    Samuel Sami; Cristian Cango; Edwin Marin. Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach. Int. J. Sustain. Green Energy 2020, 9(1), 1-15. doi: 10.11648/j.ijrse.20200901.11

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    AMA Style

    Samuel Sami, Cristian Cango, Edwin Marin. Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach. Int J Sustain Green Energy. 2020;9(1):1-15. doi: 10.11648/j.ijrse.20200901.11

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  • @article{10.11648/j.ijrse.20200901.11,
      author = {Samuel Sami and Cristian Cango and Edwin Marin},
      title = {Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach},
      journal = {International Journal of Sustainable and Green Energy},
      volume = {9},
      number = {1},
      pages = {1-15},
      doi = {10.11648/j.ijrse.20200901.11},
      url = {https://doi.org/10.11648/j.ijrse.20200901.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijrse.20200901.11},
      abstract = {A dynamic numerical simulation has been carried out using the Matlab Simulink tool for simulation of a hybrid Power generation system using wind turbine (400w) and a fuel cell of Proton Exchange Membrane (PEM). The system has a battery banc to store excess energy not consumed by the load, and an electrolyzer when wind power is unavailable. The numerical model has been developed through blocks of Simulink that contains the data and the system parameters, considering the different elements and characteristics of the different elements of the system. The hybrid system supplies at least 3 hours a day, at 2000 Whr / day. Experiments were conducted using PEM fuel cell type to collect different characteristics of the hybrid system. It was found that the hybrid system efficiency can be increased using more fuel cells in series and the active area of the battery. The numerical model that has been represented in Simulink / Matlab and was validated with the experimental data obtained after the fuel Cell setup. Good agreement has been obtained between the experimental data and the model presented.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Dynamic Simulation of Fuel Cell Driven by Wind Turbine Using Simulink / Matlab Approach
    AU  - Samuel Sami
    AU  - Cristian Cango
    AU  - Edwin Marin
    Y1  - 2020/03/17
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijrse.20200901.11
    DO  - 10.11648/j.ijrse.20200901.11
    T2  - International Journal of Sustainable and Green Energy
    JF  - International Journal of Sustainable and Green Energy
    JO  - International Journal of Sustainable and Green Energy
    SP  - 1
    EP  - 15
    PB  - Science Publishing Group
    SN  - 2575-1549
    UR  - https://doi.org/10.11648/j.ijrse.20200901.11
    AB  - A dynamic numerical simulation has been carried out using the Matlab Simulink tool for simulation of a hybrid Power generation system using wind turbine (400w) and a fuel cell of Proton Exchange Membrane (PEM). The system has a battery banc to store excess energy not consumed by the load, and an electrolyzer when wind power is unavailable. The numerical model has been developed through blocks of Simulink that contains the data and the system parameters, considering the different elements and characteristics of the different elements of the system. The hybrid system supplies at least 3 hours a day, at 2000 Whr / day. Experiments were conducted using PEM fuel cell type to collect different characteristics of the hybrid system. It was found that the hybrid system efficiency can be increased using more fuel cells in series and the active area of the battery. The numerical model that has been represented in Simulink / Matlab and was validated with the experimental data obtained after the fuel Cell setup. Good agreement has been obtained between the experimental data and the model presented.
    VL  - 9
    IS  - 1
    ER  - 

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Author Information
  • Research Center for Renewable Energy, Catholic University of Cuenca, Cuenca, Ecuador

  • Research Center for Renewable Energy, Catholic University of Cuenca, Cuenca, Ecuador

  • Research Center for Renewable Energy, Catholic University of Cuenca, Cuenca, Ecuador

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