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Towards analysing risks to public safety from wind turbines

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  • Brouwer, Sander R.
  • Al-Jibouri, Saad H.S.
  • Cárdenas, Ibsen Chivatá
  • Halman, Johannes I.M.

Abstract

Wind energy has become an increasingly desirable and viable renewable energy source in recent years. However, wind energy faces a number of challenges, one of them being risks to public safety from wind turbine failures. This paper provides an analysis as a first step towards integrating wind turbine failures with public safety risks. In this paper, an existing Fault Tree Analysis (FTA) of wind turbines is expanded to include wind turbine failures that could be linked to public safety risks. The paper combines knowledge from literature related to wind turbine failures with expert judgements. Quantification of component failures and failure modes in the expanded FTA is carried out, and wind turbine failure modes related to the assessment of risks to public safety from wind turbines are analysed. The failures modes used in the Dutch system for assessing public safety risks from wind turbines are compared with the outcomes of this study and improvements to this assessment procedure are proposed. The paper concludes that the information available about wind turbine failures is still limited and there is a lack of detailed descriptions of incidents in the recorded data.

Suggested Citation

  • Brouwer, Sander R. & Al-Jibouri, Saad H.S. & Cárdenas, Ibsen Chivatá & Halman, Johannes I.M., 2018. "Towards analysing risks to public safety from wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 77-87.
    • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:77-87
    DOI: 10.1016/j.ress.2018.07.010
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    References listed on IDEAS

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    1. Refaul Ferdous & Faisal Khan & Rehan Sadiq & Paul Amyotte & Brian Veitch, 2011. "Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 86-107, January.
    2. Pinar Pérez, Jesús María & García Márquez, Fausto Pedro & Tobias, Andrew & Papaelias, Mayorkinos, 2013. "Wind turbine reliability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 463-472.
    3. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    4. Ibsen Chivatá Cárdenas & Saad S.H. Al‐jibouri & Johannes I.M. Halman & Frits A. van Tol, 2013. "Capturing and Integrating Knowledge for Managing Risks in Tunnel Works," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 92-108, January.
    5. Sansavini, G. & Piccinelli, R. & Golea, L.R. & Zio, E., 2014. "A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation," Renewable Energy, Elsevier, vol. 64(C), pages 71-81.
    6. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
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    Cited by:

    1. Gürdal Ertek & Lakshmi Kailas, 2021. "Analyzing a Decade of Wind Turbine Accident News with Topic Modeling," Sustainability, MDPI, vol. 13(22), pages 1-34, November.
    2. Liu, Min & Qin, Jianjun & Lu, Da-Gang & Zhang, Wei-Heng & Zhu, Jiang-Sheng & Faber, Michael Havbro, 2022. "Towards resilience of offshore wind farms: A framework and application to asset integrity management," Applied Energy, Elsevier, vol. 322(C).
    3. Yang, Shenhao & Chen, Weirong & Zhang, Xuexia & Yang, Weiqi, 2021. "A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    4. Sun, Wei & Lin, Wei-Cheng & You, Fei & Shu, Chi-Min & Qin, Sheng-Hui, 2019. "Prevention of green energy loss: Estimation of fire hazard potential in wind turbines," Renewable Energy, Elsevier, vol. 140(C), pages 62-69.
    5. Pliego Marugán, Alberto & Peco Chacón, Ana María & García Márquez, Fausto Pedro, 2019. "Reliability analysis of detecting false alarms that employ neural networks: A real case study on wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

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