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Reliability Testing of Wind Farm Devices Based on the Mean Time to Failures

Author

Listed:
  • Stanisław Duer

    (Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15–17 Raclawicka St., 75-620 Koszalin, Poland)

  • Marek Woźniak

    (Doctoral School, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland)

  • Jacek Paś

    (Faculty of Electronic, Military University of Technology of Warsaw, 2 Urbanowicza St., 00-908 Warsaw, Poland)

  • Konrad Zajkowski

    (Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15–17 Raclawicka St., 75-620 Koszalin, Poland)

  • Arkadiusz Ostrowski

    (Doctoral School, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland)

  • Marek Stawowy

    (Division of Transport Telecommunications, Faculty of Transport, Warsaw University of Technology, 00-661 Warszawa, Poland)

  • Zbigniew Budniak

    (Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15–17 Raclawicka St., 75-620 Koszalin, Poland)

Abstract

Nowadays, one of the main sources of renewable energy is wind energy; therefore, a wind farm’s electricity system must be effective. As a result, wind farm (WF) equipment must continuously operate without failure or damage. To achieve this, it is necessary to regularly monitor and assess the reliability of WF systems at every point of their “life”, including design, implementation, and continued use. Three key goals are presented in the article. First, a theory of fundamental theoretical quantities that can be used in reliability and maintenance analysis is presented. The second is to put forth a theoretical reliability link between mean time to failure and WF system fitness probability (Mean Time to Failures (MTTF—Mean time between failures. MTTF = t 1 + t 2 + … + tn/m, where: m—the number of all failures at time T, t i —i—ty time to failure)). The third goal is to analyze the time to failure as a function of service life and to assess the dependability of the WF under consideration as a function of service life. The three-state model of the WF operation process presented in the research serves as the foundation for the analytical analysis of WF reliability. The probability of fitness (P o (t)) of the WF system and the mean time to failure were calculated based on the analytical quantities denoting this model (MTTF). The WF owner can make the best choice regarding the proper WF renewal actions with the help of knowledge of these current dependability values for an in-service WF system.

Suggested Citation

  • Stanisław Duer & Marek Woźniak & Jacek Paś & Konrad Zajkowski & Arkadiusz Ostrowski & Marek Stawowy & Zbigniew Budniak, 2023. "Reliability Testing of Wind Farm Devices Based on the Mean Time to Failures," Energies, MDPI, vol. 16(6), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2827-:d:1100945
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    References listed on IDEAS

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    1. Stanisław Duer & Krzysztof Rokosz & Dariusz Bernatowicz & Arkadiusz Ostrowski & Marek Woźniak & Konrad Zajkowski & Atif Iqbal, 2022. "Organization and Reliability Testing of a Wind Farm Device in Its Operational Process," Energies, MDPI, vol. 15(17), pages 1-16, August.
    2. I-Hua Chung, 2022. "Exploring the Influence of the Parameters’ Relationship between Reliability and Maintainability for Offshore Wind Farm Engineering," Energies, MDPI, vol. 15(15), pages 1-15, August.
    3. Marek Stawowy & Adam Rosiński & Jacek Paś & Tomasz Klimczak, 2021. "Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices," Energies, MDPI, vol. 14(2), pages 1-16, January.
    4. Stanislaw Duer & Jacek Paś & Marek Stawowy & Aneta Hapka & Radosław Duer & Arkadiusz Ostrowski & Marek Woźniak, 2022. "Reliability Testing of Wind Power Plant Devices with the Use of an Intelligent Diagnostic System," Energies, MDPI, vol. 15(10), pages 1-19, May.
    5. Yao Wang & Xinqin Gao & Yuanfeng Cai & Mingshun Yang & Shujuan Li & Yan Li, 2020. "Reliability Evaluation for Aviation Electric Power System in Consideration of Uncertainty," Energies, MDPI, vol. 13(5), pages 1-22, March.
    6. Stanisław Duer, 2020. "Assessment of the Operation Process of Wind Power Plant’s Equipment with the Use of an Artificial Neural Network," Energies, MDPI, vol. 13(10), pages 1-17, May.
    7. Stanisław Duer & Marek Woźniak & Arkadiusz Ostrowski & Jacek Paś & Radosław Duer & Konrad Zajkowski & Dariusz Bernatowicz, 2022. "Assessment of the Reliability of Wind Farm Device on the Basis of Modeling Its Operation Process," Energies, MDPI, vol. 16(1), pages 1-16, December.
    8. Asad Ullah Amin Shah & Robby Christian & Junyung Kim & Jaewhan Kim & Jinkyun Park & Hyun Gook Kang, 2021. "Dynamic Probabilistic Risk Assessment Based Response Surface Approach for FLEX and Accident Tolerant Fuels for Medium Break LOCA Spectrum," Energies, MDPI, vol. 14(9), pages 1-24, April.
    9. Stanisław Duer & Jacek Paś & Aneta Hapka & Radosław Duer & Arkadiusz Ostrowski & Marek Woźniak, 2022. "Assessment of the Reliability of Wind Farm Devices in the Operation Process," Energies, MDPI, vol. 15(11), pages 1-22, May.
    10. Toshio Nakagawa, 2005. "Maintenance Theory of Reliability," Springer Series in Reliability Engineering, Springer, number 978-1-84628-221-8, June.
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