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Numerical analysis of lightning attachment to wind turbine blade

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  • Zhou, Qibin
  • Liu, Canxiang
  • Bian, Xiaoyan
  • Lo, Kwok L.
  • Li, Dongdong

Abstract

In order to study lightning attachment characteristic of wind turbine blades, a method is proposed in this paper by using electrostatic simulation to analyze the development mechanism of the line lightning leader to establish the lightning initial attachment zones. A full-size turbine blade and a downward leader is modelled to investigate the lightning attachment characteristic by using 3D electromagnetic simulation based on finite element method (FEM). The configuration of receptors as well as their size and number on the interception effect are analyzed. The results show that the tip of a blade is more likely to be the attachment point from lightning. The interception is more effective when the cross-sectional area of a single receptor of the blade is in accordance with the minimum value 50 mm2 recommended in IEC 61400-24. The interception effect does not significantly improve when the number of receptors is increased. The interception efficiency of wind turbine blade receptors during the rotation of the blades is discussed. In addition, the lightning electromagnetic environment characteristic inside nacelles is analyzed.

Suggested Citation

  • Zhou, Qibin & Liu, Canxiang & Bian, Xiaoyan & Lo, Kwok L. & Li, Dongdong, 2018. "Numerical analysis of lightning attachment to wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 584-593.
    • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:584-593
    DOI: 10.1016/j.renene.2017.09.086
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    References listed on IDEAS

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    1. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    2. Malcolm, Newman & Aggarwal, Raj K., 2015. "The impact of multiple lightning strokes on the energy absorbed by MOV surge arresters in wind farms during direct lightning strikes," Renewable Energy, Elsevier, vol. 83(C), pages 1305-1314.
    3. Sarajcev, Petar & Vasilj, Josip & Goic, Ranko, 2013. "Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges," Renewable Energy, Elsevier, vol. 57(C), pages 626-634.
    4. Sun, Shengpeng & Liu, Fengliang & Xue, Song & Zeng, Ming & Zeng, Fanxiao, 2015. "Review on wind power development in China: Current situation and improvement strategies to realize future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 589-599.
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    1. Sarajcev, P. & Jakus, D. & Mudnic, E., 2020. "Gaussian process regression modeling of wind turbines lightning incidence with LLS information," Renewable Energy, Elsevier, vol. 146(C), pages 1221-1231.
    2. He, Hengxin & Chen, Weijiang & Luo, Bin & Bian, Kai & Xiang, Nianwen & Yin, Yu & Zhang, Zhaohua & Dai, Min & He, Tianyu, 2022. "On the electrical breakdown of GFRP wind turbine blades due to direct lightning strokes," Renewable Energy, Elsevier, vol. 186(C), pages 974-985.
    3. Hosseini, S.M Amin & Mohammadirad, Amir & Shayegani Akmal, Amir Abbas, 2022. "Surge analysis on wind farm considering lightning strike to multi-blade," Renewable Energy, Elsevier, vol. 186(C), pages 312-326.
    4. Qibin Zhou & Yize Shi & Xiaoyan Bian & Bo Zhou, 2019. "Simulation and Protection of Lightning Electromagnetic Pulse in Non-Metallic Nacelle of Wind Turbine," Energies, MDPI, vol. 12(9), pages 1-10, May.
    5. Hetita, Ibrahim & Zalhaf, Amr S. & Mansour, Diaa-Eldin A. & Han, Yang & Yang, Ping & Wang, Congling, 2022. "Modeling and protection of photovoltaic systems during lightning strikes: A review," Renewable Energy, Elsevier, vol. 184(C), pages 134-148.

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