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The analysis of turbulence intensity based on wind speed data in onshore wind farms

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  • Ren, Guorui
  • Liu, Jinfu
  • Wan, Jie
  • Li, Fei
  • Guo, Yufeng
  • Yu, Daren

Abstract

Wind speed turbulence intensity is crucial for wind turbine structure design and aerodynamic loads calculation. In the study, the actual turbulence intensity observations are compared with the Normal Turbulence Model defined by IEC standard. The results show that the Normal Turbulence Model overestimates the turbulence intensity. A new turbulence intensity model is proposed based on the actual observations, which shows better performance than the Normal Turbulence Model. Then the variation pattern of turbulence intensity during a day is analyzed. The turbulence intensity exhibits obvious daily periodicity in two wind farms. Furthermore, the causes of daily periodicity are discussed and verified by the wind speed dataset 3. Finally, an improved time-varying turbulence intensity model is developed according to the daily periodicity.

Suggested Citation

  • Ren, Guorui & Liu, Jinfu & Wan, Jie & Li, Fei & Guo, Yufeng & Yu, Daren, 2018. "The analysis of turbulence intensity based on wind speed data in onshore wind farms," Renewable Energy, Elsevier, vol. 123(C), pages 756-766.
    • Handle: RePEc:eee:renene:v:123:y:2018:i:c:p:756-766
    DOI: 10.1016/j.renene.2018.02.080
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    References listed on IDEAS

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    1. Ren, Guorui & Liu, Jinfu & Wan, Jie & Guo, Yufeng & Yu, Daren & Liu, Jizhen, 2017. "Measurement and statistical analysis of wind speed intermittency," Energy, Elsevier, vol. 118(C), pages 632-643.
    2. Marino, Enzo & Giusti, Alessandro & Manuel, Lance, 2017. "Offshore wind turbine fatigue loads: The influence of alternative wave modeling for different turbulent and mean winds," Renewable Energy, Elsevier, vol. 102(PA), pages 157-169.
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    4. Kim, Soo-Hyun & Shin, Hyung-Ki & Joo, Young-Chul & Kim, Keon-Hoon, 2015. "A study of the wake effects on the wind characteristics and fatigue loads for the turbines in a wind farm," Renewable Energy, Elsevier, vol. 74(C), pages 536-543.
    5. Liu, Jinfu & Ren, Guorui & Wan, Jie & Guo, Yufeng & Yu, Daren, 2016. "Variogram time-series analysis of wind speed," Renewable Energy, Elsevier, vol. 99(C), pages 483-491.
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    13. Tiainen, Jonna & Grönman, Aki & Jaatinen-Värri, Ahti & Pyy, Lauri, 2020. "Effect of non-ideally manufactured riblets on airfoil and wind turbine performance," Renewable Energy, Elsevier, vol. 155(C), pages 79-89.
    14. Meng, Xiangrui & Tian, Li & Li, Chao & Liu, Juncai, 2024. "Copula-based wind-induced failure prediction of overhead transmission line considering multiple temperature factors," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
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