The lightning striking probability for offshore wind turbine blade with salt fog contamination

Qingmin Li, Yufei Ma, Zixin Guo, Hanwen Ren, Guozheng Wang, Waqas Arif, Zhiyang Fang, Wah Hoon Siew

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The blades of an offshore wind turbine are prone to be adhered with salt fog after long-time exposure in the marine-atmosphere environment, and salt fog reduces the efficiency of the lightning protection system. In order to study the influence of salt fog on lightning striking probability (LSP), the lightning discharge process model for the wind turbine blade is adopted in this paper considering the accumulation mechanism of surface charges around the salt fog area. The distribution of potential and electric field with the development of the downward leader is calculated by COMSOL Multiphysics LiveLink for MATLAB. A quantitative characterization method is established to calculate the LSP base on the average electric field before the return stroke and the LSP distribution of the blade is shown in the form of a graphic view. The simulation results indicate that the receptor and conductor area close to the receptor area are more likely to get struck by lightning, and the LSP increases under the influence of salt fog. The validity of the model is verified by experiments. Furthermore, the receptor can protect the blade from lightning strikes effectively when the lateral distance between the rod electrode and receptor is short. The influence of salt fog on LSP is more obvious if salt fog is close to the receptor or if the scope of salt fog area increases.

LanguageEnglish
Article number073301
Number of pages12
JournalJournal of Applied Physics
Volume122
Issue number7
Early online date18 Aug 2017
DOIs
Publication statusPublished - 21 Aug 2017

Fingerprint

Offshore wind turbines
fog
turbine blades
wind turbines
lightning
Fog
Lightning
contamination
Contamination
Salts
salts
blades
Electric fields
Lightning protection
Earth atmosphere
Surface charge
electric fields
potential fields
Wind turbines
Probability distributions

Keywords

  • offshore wind turbine
  • turbine blades
  • salt fog
  • lightening

Cite this

Li, Qingmin ; Ma, Yufei ; Guo, Zixin ; Ren, Hanwen ; Wang, Guozheng ; Arif, Waqas ; Fang, Zhiyang ; Siew, Wah Hoon. / The lightning striking probability for offshore wind turbine blade with salt fog contamination. In: Journal of Applied Physics. 2017 ; Vol. 122, No. 7.
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abstract = "The blades of an offshore wind turbine are prone to be adhered with salt fog after long-time exposure in the marine-atmosphere environment, and salt fog reduces the efficiency of the lightning protection system. In order to study the influence of salt fog on lightning striking probability (LSP), the lightning discharge process model for the wind turbine blade is adopted in this paper considering the accumulation mechanism of surface charges around the salt fog area. The distribution of potential and electric field with the development of the downward leader is calculated by COMSOL Multiphysics LiveLink for MATLAB. A quantitative characterization method is established to calculate the LSP base on the average electric field before the return stroke and the LSP distribution of the blade is shown in the form of a graphic view. The simulation results indicate that the receptor and conductor area close to the receptor area are more likely to get struck by lightning, and the LSP increases under the influence of salt fog. The validity of the model is verified by experiments. Furthermore, the receptor can protect the blade from lightning strikes effectively when the lateral distance between the rod electrode and receptor is short. The influence of salt fog on LSP is more obvious if salt fog is close to the receptor or if the scope of salt fog area increases.",
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The lightning striking probability for offshore wind turbine blade with salt fog contamination. / Li, Qingmin; Ma, Yufei; Guo, Zixin; Ren, Hanwen; Wang, Guozheng; Arif, Waqas; Fang, Zhiyang; Siew, Wah Hoon.

In: Journal of Applied Physics, Vol. 122, No. 7, 073301, 21.08.2017.

Research output: Contribution to journalArticle

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