IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i4p721-d137623.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/4/721/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/4/721/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Colli, Alessandra, 2015. "Failure mode and effect analysis for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 804-809.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Guohua & Li, Geliang & Xie, Mulin & Xu, Qiming & Zhang, Geng, 2024. "A probabilistic analysis method based on Noisy-OR gate Bayesian network for hydrogen leakage of proton exchange membrane fuel cell," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    2. Nguyen, Hai Tra & Safder, Usman & Nhu Nguyen, X.Q. & Yoo, ChangKyoo, 2020. "Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant," Energy, Elsevier, vol. 191(C).
    3. Lisa B. Bosman & Walter D. Leon-Salas & William Hutzel & Esteban A. Soto, 2020. "PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities," Energies, MDPI, vol. 13(6), pages 1-16, March.
    4. Chiacchio, Ferdinando & D’Urso, Diego & Famoso, Fabio & Brusca, Sebastian & Aizpurua, Jose Ignacio & Catterson, Victoria M., 2018. "On the use of dynamic reliability for an accurate modelling of renewable power plants," Energy, Elsevier, vol. 151(C), pages 605-621.
    5. A. Sayed & M. El-Shimy & M. El-Metwally & M. Elshahed, 2019. "Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-18, March.
    6. Mellit, A. & Tina, G.M. & Kalogirou, S.A., 2018. "Fault detection and diagnosis methods for photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1-17.
    7. Andrés A. Zúñiga & Alexandre Baleia & João Fernandes & Paulo Jose Da Costa Branco, 2020. "Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems," Energies, MDPI, vol. 13(5), pages 1-26, March.
    8. Ferdinando Chiacchio & Fabio Famoso & Diego D’Urso & Sebastian Brusca & Jose Ignacio Aizpurua & Luca Cedola, 2018. "Dynamic Performance Evaluation of Photovoltaic Power Plant by Stochastic Hybrid Fault Tree Automaton Model," Energies, MDPI, vol. 11(2), pages 1-22, January.
    9. Nelson, James & Johnson, Nathan G. & Fahy, Kelsey & Hansen, Timothy A., 2020. "Statistical development of microgrid resilience during islanding operations," Applied Energy, Elsevier, vol. 279(C).
    10. Kayser, Dirk, 2016. "Solar photovoltaic projects in China: High investment risks and the need for institutional response," Applied Energy, Elsevier, vol. 174(C), pages 144-152.
    11. Koester, L. & Lindig, S. & Louwen, A. & Astigarraga, A. & Manzolini, G. & Moser, D., 2022. "Review of photovoltaic module degradation, field inspection techniques and techno-economic assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    12. Satpathy, Priya Ranjan & Aljafari, Belqasem & Thanikanti, Sudhakar Babu & Madeti, Siva Rama Krishna, 2023. "Electrical fault tolerance of photovoltaic array configurations: Experimental investigation, performance analysis, monitoring and detection," Renewable Energy, Elsevier, vol. 206(C), pages 960-981.
    13. Pillai, Dhanup S. & Rajasekar, N., 2018. "A comprehensive review on protection challenges and fault diagnosis in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 18-40.
    14. Thanh-Lam Nguyen & Ming-Hung Shu & Bi-Min Hsu, 2016. "Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry," Sustainability, MDPI, vol. 8(9), pages 1-14, September.
    15. Joong-Woo Shin & Kwang-Hoon Yoon & Hui-Seok Chai & Jae-Chul Kim, 2022. "Reliability-Centered Maintenance Scheduling of Photovoltaic Components According to Failure Effects," Energies, MDPI, vol. 15(7), pages 1-15, March.
    16. Stefan Baschel & Elena Koubli & Jyotirmoy Roy & Ralph Gottschalg, 2018. "Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance," Energies, MDPI, vol. 11(6), pages 1-16, June.
    17. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi & Nikta Chireh, 2019. "A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine," Energies, MDPI, vol. 12(13), pages 1-18, June.
    18. Gallardo-Saavedra, Sara & Hernández-Callejo, Luis & Duque-Pérez, Oscar, 2019. "Quantitative failure rates and modes analysis in photovoltaic plants," Energy, Elsevier, vol. 183(C), pages 825-836.
    19. Dag, H.I. & Buker, M.S., 2020. "Performance evaluation and degradation assessment of crystalline silicon based photovoltaic rooftop technologies under outdoor conditions," Renewable Energy, Elsevier, vol. 156(C), pages 1292-1300.
    20. Aisha Sa’ad & Aimé C. Nyoungue & Zied Hajej, 2021. "Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints," Sustainability, MDPI, vol. 13(18), pages 1-22, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:721-:d:137623. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.