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A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application

Author

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  • Sajjad Bahrebar

    (Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg Ø, Denmark)

  • Frede Blaabjerg

    (Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg Ø, Denmark)

  • Huai Wang

    (Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg Ø, Denmark)

  • Navid Vafamand

    (Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg Ø, Denmark)

  • Mohammad-Hassan Khooban

    (Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg Ø, Denmark)

  • Sima Rastayesh

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg Ø, Denmark)

  • Dao Zhou

    (Department of Energy Technology, Aalborg University, Pontoppidanstræde 101, 9220 Aalborg Ø, Denmark)

Abstract

A marine energy system, which is fundamentally not paired with electric grids, should work for an extended period with high reliability. To put it in another way, by employing electrical utilities on a ship, the electrical power demand has been increasing in recent years. Besides, fuel cells in marine power generation may reduce the loss of energy and weight in long cables and provide a platform such that each piece of marine equipment is supplied with its own isolated wire connection. Hence, fuel cells can be promising power generation equipment in the marine industry. Besides, failure modes and effects analysis (FMEA) is widely accepted throughout the industry as a valuable tool for identifying, ranking, and mitigating risks. The FMEA process can help to design safe hydrogen fueling stations. In this paper, a robust FMEA has been developed to identify the potentially hazardous conditions of the marine propulsion system by considering a general type-2 fuzzy logic set. The general type-2 fuzzy system is decomposed of several interval type-2 fuzzy logic systems to reduce the inherent highly computational burden of the general type-2 fuzzy systems. Linguistic rules are directly incorporated into the fuzzy system. Finally, the results demonstrate the success and effectiveness of the proposed approach in computing the risk priority number as compared to state-of-the-art methods.

Suggested Citation

  • Sajjad Bahrebar & Frede Blaabjerg & Huai Wang & Navid Vafamand & Mohammad-Hassan Khooban & Sima Rastayesh & Dao Zhou, 2018. "A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application," Energies, MDPI, vol. 11(4), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:721-:d:137623
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    References listed on IDEAS

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    1. Colli, Alessandra, 2015. "Failure mode and effect analysis for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 804-809.
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    Cited by:

    1. Mohammed Yousri Silaa & Mohamed Derbeli & Oscar Barambones & Ali Cheknane, 2020. "Design and Implementation of High Order Sliding Mode Control for PEMFC Power System," Energies, MDPI, vol. 13(17), pages 1-15, August.
    2. Mingyue Shi & Rong Jiang & Xiaohan Hu & Jingwei Shang, 2020. "A privacy protection method for health care big data management based on risk access control," Health Care Management Science, Springer, vol. 23(3), pages 427-442, September.
    3. Fu-Cheng Wang & Kuang-Ming Lin, 2018. "Impacts of Load Profiles on the Optimization of Power Management of a Green Building Employing Fuel Cells," Energies, MDPI, vol. 12(1), pages 1-16, December.
    4. Andrés A. Zúñiga & João F. P. Fernandes & Paulo J. C. Branco, 2023. "Fuzzy-Based Failure Modes, Effects, and Criticality Analysis Applied to Cyber-Power Grids," Energies, MDPI, vol. 16(8), pages 1-34, April.
    5. Joanna Fabis-Domagala & Mariusz Domagala & Hassan Momeni, 2021. "A Matrix FMEA Analysis of Variable Delivery Vane Pumps," Energies, MDPI, vol. 14(6), pages 1-14, March.
    6. Mohamed Derbeli & Oscar Barambones & Jose Antonio Ramos-Hernanz & Lassaad Sbita, 2019. "Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System," Energies, MDPI, vol. 12(9), pages 1-20, April.
    7. Heng Zhang & Yang Yang & Tianyu Liu & Honglong Chang, 2018. "Boosting the Power-Generation Performance of Micro-Sized Al-H 2 O 2 Fuel Cells by Using Silver Nanowires as the Cathode," Energies, MDPI, vol. 11(9), pages 1-10, September.
    8. Mohammad Hassan Khooban & Navid Vafamand & Jalil Boudjadar, 2019. "Tracking Control for Hydrogen Fuel Cell Systems in Zero-Emission Ferry Ships," Complexity, Hindawi, vol. 2019, pages 1-9, November.

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