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Prevention of green energy loss: Estimation of fire hazard potential in wind turbines

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  • Sun, Wei
  • Lin, Wei-Cheng
  • You, Fei
  • Shu, Chi-Min
  • Qin, Sheng-Hui

Abstract

Although numerous fire accidents in wind turbines had been reported, there were few relevant literatures on the fire hazard of oil system in wind turbine. This study focused on thermal hazards and decomposition characteristics caused by temperature variation for the wind turbine oil system. The thermal decomposition behavior and fire hazard potential of the lubricating oils (hydraulic and gear oils) and transformer oils used in wind turbines were investigated through a simultaneous thermogravimetry analyzer using non-isothermal models. Fourier transform infrared (FTIR) spectroscopy was used to analyze the change in functional groups of three oils. The results demonstrated that the thermal decomposition process of the lubricating and transformer oils could be divided into three stages, with major mass loss in the second stage. The temperature associated with 17.5% mass loss could estimate the flash point of three oils, which facilitated to detect the fire hazard potential well on time. The FTIR results showed that during the oxidation of the transformer oil, a peak appeared at 1736 cm−1, corresponding to the CO of carbonyl compounds. The findings can be used as a reference to monitor the intrinsic safety and to provide a basis for timely replacement of oils in wind turbines.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:140:y:2019:i:c:p:62-69
    DOI: 10.1016/j.renene.2019.03.045
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    References listed on IDEAS

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    Cited by:

    1. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Chen, Jian & Wang, Zhenghui & Zhang, Yanni & Li, Yang & Tam, Wai Cheong & Kong, Depeng & Deng, Jun, 2024. "New insights into the ignition characteristics of liquid fuels on hot surfaces based on TG-FTIR," Applied Energy, Elsevier, vol. 360(C).
    3. Anping Wan & Chenyu Du & Wenbin Gong & Chao Wei & Khalil AL-Bukhaiti & Yunsong Ji & Shidong Ma & Fareng Yao & Lizheng Ao, 2024. "Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units," Energies, MDPI, vol. 17(10), pages 1-20, May.

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