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Numerical Investigation of Terrain-Induced Turbulence in Complex Terrain by Large-Eddy Simulation (LES) Technique

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  • Takanori Uchida

    (Research Institute for Applied Mechanics (RIAM), Kyushu University, 6-1 Kasuga-kouen, Kasuga, Fukuoka 816-8580, Japan)

Abstract

In the present study, field observation wind data from the time of the wind turbine blade damage accident on Shiratakiyama Wind Farm were analyzed in detail. In parallel, high-resolution large-eddy simulation (LES) turbulence simulations were performed in order to examine the model’s ability to numerically reproduce terrain-induced turbulence (turbulence intensity) under strong wind conditions (8.0–9.0 m/s at wind turbine hub height). Since the wind velocity and time acquired from the numerical simulation are dimensionless, they are converted to full scale. As a consequence, both the standard deviation of the horizontal wind speed (m/s) and turbulence intensity evaluated from the field observation and simulated wind data are successfully in close agreement. To investigate the cause of the wind turbine blade damage accident on Shiratakiyama Wind Farm, a power spectral analysis was performed on the fluctuating components of the observed time series data of wind speed (1 s average values) for a 10 min period (total of 600 data) by using a fast Fourier transform (FFT). It was suggested that the terrain-induced turbulence which caused the wind turbine blade damage accident on Shiratakiyama Wind Farm was attributable to rapid wind speed and direction fluctuations which were caused by vortex shedding from Tenjogadake (elevation: 691.1 m) located upstream of the wind farm.

Suggested Citation

  • Takanori Uchida, 2018. "Numerical Investigation of Terrain-Induced Turbulence in Complex Terrain by Large-Eddy Simulation (LES) Technique," Energies, MDPI, vol. 11(10), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2638-:d:173444
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    References listed on IDEAS

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    1. Fernando Porté-Agel & Yu-Ting Wu & Chang-Hung Chen, 2013. "A Numerical Study of the Effects of Wind Direction on Turbine Wakes and Power Losses in a Large Wind Farm," Energies, MDPI, vol. 6(10), pages 1-17, October.
    2. Takanori Uchida, 2018. "Computational Fluid Dynamics Approach to Predict the Actual Wind Speed over Complex Terrain," Energies, MDPI, vol. 11(7), pages 1-14, June.
    3. Takanori Uchida, 2018. "Computational Fluid Dynamics (CFD) Investigation of Wind Turbine Nacelle Separation Accident over Complex Terrain in Japan," Energies, MDPI, vol. 11(6), pages 1-13, June.
    4. Takanori Uchida, 2018. "LES Investigation of Terrain-Induced Turbulence in Complex Terrain and Economic Effects of Wind Turbine Control," Energies, MDPI, vol. 11(6), pages 1-15, June.
    5. Takanori Uchida & Yuji Ohya, 2011. "Latest Developments in Numerical Wind Synopsis Prediction Using the RIAM-COMPACT ® CFD Model—Design Wind Speed Evaluation and Wind Risk (Terrain-Induced Turbulence) Diagnostics in Japan," Energies, MDPI, vol. 4(3), pages 1-17, March.
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    Cited by:

    1. C. A. Lopez-Villalobos & O. Rodriguez-Hernandez & R. Campos-Amezcua & Guillermo Hernandez-Cruz & O. A. Jaramillo & J. L. Mendoza, 2018. "Wind Turbulence Intensity at La Ventosa, Mexico: A Comparative Study with the IEC61400 Standards," Energies, MDPI, vol. 11(11), pages 1-19, November.
    2. Takanori Uchida & Susumu Takakuwa, 2019. "A Large-Eddy Simulation-Based Assessment of the Risk of Wind Turbine Failures Due to Terrain-Induced Turbulence over a Wind Farm in Complex Terrain," Energies, MDPI, vol. 12(10), pages 1-19, May.
    3. Hu, Weicheng & Yang, Qingshan & Chen, Hua-Peng & Yuan, Ziting & Li, Chen & Shao, Shuai & Zhang, Jian, 2021. "Wind field characteristics over hilly and complex terrain in turbulent boundary layers," Energy, Elsevier, vol. 224(C).
    4. Susumu Takakuwa & Takanori Uchida, 2022. "Improvement of Airflow Simulation by Refining the Inflow Wind Direction and Applying Atmospheric Stability for Onshore and Offshore Wind Farms Affected by Topography," Energies, MDPI, vol. 15(14), pages 1-27, July.
    5. Gürdal Ertek & Lakshmi Kailas, 2021. "Analyzing a Decade of Wind Turbine Accident News with Topic Modeling," Sustainability, MDPI, vol. 13(22), pages 1-34, November.
    6. Xinkai Li & Ke Yang & Hao Hu & Xiaodong Wang & Shun Kang, 2019. "Effect of Tailing-Edge Thickness on Aerodynamic Noise for Wind Turbine Airfoil," Energies, MDPI, vol. 12(2), pages 1-25, January.
    7. Patrick Hawbecker & Matthew Churchfield, 2021. "Evaluating Terrain as a Turbulence Generation Method," Energies, MDPI, vol. 14(21), pages 1-26, October.
    8. Koichi Watanabe & Yuji Ohya & Takanori Uchida, 2019. "Power Output Enhancement of a Ducted Wind Turbine by Stabilizing Vortices around the Duct," Energies, MDPI, vol. 12(16), pages 1-17, August.

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