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Journal of Meteorological Research

, Volume 33, Issue 5, pp 895–904 | Cite as

Improved Calculation of Turbulence Parameters Based on Six Tropical Cyclone Cases: Implication to Wind Turbine Design in Typhoon-Prone Areas

  • Binglan Wang
  • Zhiqiang He
  • Lili SongEmail author
  • Wenchao Chen
Regular Article
  • 9 Downloads

Abstract

In view of the absence or insufficiency of tropical cyclone (TC) turbulence parameters in current design standards of wind turbines, in this paper, TC turbulence parameter models with roughness length involved are developed based on six landfall TCs observed from meteorological towers located on various underlying surfaces, so as to provide references for the wind turbine design under TC conditions. Firstly, the roughness length values are examined in order to reduce the effect on turbulence parameters of the various underlying surfaces. On this basis, the reference turbulence intensity is normalized by the roughness length. The related turbulence parameters are parameterized, including the turbulence standard deviation and the turbulence spectrum; and the turbulence parameters available under TC conditions for turbulence turbine design are presented finally. Comparisons of the wind parameter models presented in this paper with those used in current turbine design standards suggest that the former can represent TC characteristics more accurately. In order to withstand TCs, we suggest that the turbulence parameter models recommended in this paper be included in future wind turbine design standards under TC conditions.

Key words

tropical cyclone turbulence parameter models wind turbine 

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Copyright information

© The Chinese Meteorological Society and Springer-Verlag Berlin Heidelberg 2019

Authors and Affiliations

  • Binglan Wang
    • 1
    • 2
  • Zhiqiang He
    • 3
  • Lili Song
    • 1
    • 2
    Email author
  • Wenchao Chen
    • 4
  1. 1.Beijing Jiutian Weather Technology Co., Ltd.BeijingChina
  2. 2.Public Meteorological Service CenterChina Meteorological AdministrationBeijingChina
  3. 3.North China Regional Meteorological CenterCivil Aviation Administration of ChinaBeijingChina
  4. 4.Guangdong Meteorological Disaster Prevention Technology Service CenterGuangzhouChina

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