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Reliability modeling and analysis of stand-alone PEM fuel cell power plants

Author

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  • Tanrioven, M.
  • Alam, M.S.

Abstract

This paper presents a methodology for modeling and calculating PEM FCPP reliability. It includes the development of a state-space method to calculate the stand-alone PEM FCPP reliability using Markov Model (MM). The state-space method includes different states such as operation, derated, fully faulted or maintenance since FCPP (FC) power plants are subject to a number of possible outage and derated states. The aging failures in the state-space generation model of a PEM FCPP are estimated based on the assumption that failure and repair rates of the components change with operational age of FC. The functional relationship between FC age and transition rates, namely failure and repair rates are estimated based on the fuzzy set theory and expert knowledge. The simulation results are obtained using matlab software package for a 5kW stand-alone PEM fuel cell, which supplies power to a typical residential house.

Suggested Citation

  • Tanrioven, M. & Alam, M.S., 2006. "Reliability modeling and analysis of stand-alone PEM fuel cell power plants," Renewable Energy, Elsevier, vol. 31(7), pages 915-933.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:7:p:915-933
    DOI: 10.1016/j.renene.2005.05.004
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    Citations

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    Cited by:

    1. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    2. Koeppel, Gaudenz & Andersson, Göran, 2009. "Reliability modeling of multi-carrier energy systems," Energy, Elsevier, vol. 34(3), pages 235-244.
    3. Whiteley, M & Dunnett, S & Jackson, L, 2020. "Simulation of polymer electrolyte membrane fuel cell degradation using an integrated Petri Net and 0D model," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    4. Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
    5. Nicu Bizon & Mircea Raceanu & Emmanouel Koudoumas & Adriana Marinoiu & Emmanuel Karapidakis & Elena Carcadea, 2020. "Renewable/Fuel Cell Hybrid Power System Operation Using Two Search Controllers of the Optimal Power Needed on the DC Bus," Energies, MDPI, vol. 13(22), pages 1-26, November.
    6. Benmouna, Amel & Becherif, Mohamed & Depernet, Daniel & Ebrahim, Mohamed A., 2018. "Novel Energy Management Technique for Hybrid Electric Vehicle via Interconnection and Damping Assignment Passivity Based Control," Renewable Energy, Elsevier, vol. 119(C), pages 116-128.
    7. Zuo, Jian & Steiner, Nadia Yousfi & Li, Zhongliang & Hissel, Daniel, 2024. "Health management review for fuel cells: Focus on action phase," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
    8. Rostirolla, G. & Grange, L. & Minh-Thuyen, T. & Stolf, P. & Pierson, J.M. & Da Costa, G. & Baudic, G. & Haddad, M. & Kassab, A. & Nicod, J.M. & Philippe, L. & Rehn-Sonigo, V. & Roche, R. & Celik, B. &, 2022. "A survey of challenges and solutions for the integration of renewable energy in datacenters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).

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