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On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis

Author

Listed:
  • Chungwook Sim

    (School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA)

  • Sukanta Basu

    (Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA)

  • Lance Manuel

    (Department of Civil, Architectural and Environmental Engineering, University of Texas, Austin, TX 78712, USA)

Abstract

Efficient spatial and temporal resolution of simulated inflow wind fields is important in order to represent wind turbine dynamics and derive load statistics for design. Using Fourier-based stochastic simulation of inflow turbulence, we first investigate loads for a utility-scale turbine in the neutral atmospheric boundary layer. Load statistics, spectra, and wavelet analysis representations for different space and time resolutions are compared. Next, large-eddy simulation (LES) is employed with space-time resolutions, justified on the basis of the earlier stochastic simulations, to again derive turbine loads. Extreme and fatigue loads from the two approaches used in inflow field generation are compared. On the basis of simulation studies carried out for three different wind speeds in the turbine’s operating range, it is shown that inflow turbulence described using 10-meter spatial resolution and 1 Hz temporal resolution is adequate for assessing turbine loads. Such studies on the investigation of adequate filtering or resolution of inflow wind fields help to establish efficient strategies for LES and other physical or stochastic simulation needed in turbine loads studies.

Suggested Citation

  • Chungwook Sim & Sukanta Basu & Lance Manuel, 2012. "On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis," Energies, MDPI, vol. 5(7), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:7:p:2071-2092:d:18509
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    Citations

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    Cited by:

    1. Nan-You Lu & Patrick Hawbecker & Sukanta Basu & Lance Manuel, 2019. "On Wind Turbine Loads During Thunderstorm Downbursts in Contrasting Atmospheric Stability Regimes," Energies, MDPI, vol. 12(14), pages 1-30, July.
    2. Jinkyoo Park & Lance Manuel & Sukanta Basu, 2015. "Toward Isolation of Salient Features in Stable Boundary Layer Wind Fields that Influence Loads on Wind Turbines," Energies, MDPI, vol. 8(4), pages 1-36, April.
    3. Pankaj K. Jha & Earl P. N. Duque & Jessica L. Bashioum & Sven Schmitz, 2015. "Unraveling the Mysteries of Turbulence Transport in a Wind Farm," Energies, MDPI, vol. 8(7), pages 1-29, June.
    4. Abedi, Hamidreza, 2023. "Assessment of flow characteristics over complex terrain covered by the heterogeneous forest at slightly varying mean flow directions," Renewable Energy, Elsevier, vol. 202(C), pages 537-553.
    5. 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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