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Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains

Author

Listed:
  • Rebecca J. Barthelmie

    (Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA)

  • Tristan J. Shepherd

    (Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853, USA)

  • Jeanie A. Aird

    (Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA)

  • Sara C. Pryor

    (Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14853, USA)

Abstract

Continued growth of wind turbine physical dimensions is examined in terms of the implications for wind speed, power and shear across the rotor plane. High-resolution simulations with the Weather Research and Forecasting model are used to generate statistics of wind speed profiles for scenarios of current and future wind turbines. The nine-month simulations, focused on the eastern Central Plains, show that the power scales broadly as expected with the increase in rotor diameter ( D ) and wind speeds at hub-height ( H ). Increasing wind turbine dimensions from current values (approximately H = 100 m, D = 100 m) to those of the new International Energy Agency reference wind turbine ( H = 150 m, D = 240 m), the power across the rotor plane increases 7.1 times. The mean domain-wide wind shear exponent ( α ) decreases from 0.21 ( H = 100 m, D = 100 m) to 0.19 for the largest wind turbine scenario considered ( H = 168 m, D = 248 m) and the frequency of extreme positive shear ( α > 0.2) declines from 48% to 38% of 10-min periods. Thus, deployment of larger wind turbines potentially yields considerable net benefits for both the wind resource and reductions in fatigue loading related to vertical shear.

Suggested Citation

  • Rebecca J. Barthelmie & Tristan J. Shepherd & Jeanie A. Aird & Sara C. Pryor, 2020. "Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains," Energies, MDPI, vol. 13(16), pages 1-21, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4269-:d:400591
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    References listed on IDEAS

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    5. Brandon Storm & Sukanta Basu, 2010. "The WRF Model Forecast-Derived Low-Level Wind Shear Climatology over the United States Great Plains," Energies, MDPI, vol. 3(2), pages 1-19, February.
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    Cited by:

    1. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2021. "Estimation of the Performance Aging of the Vestas V52 Wind Turbine through Comparative Test Case Analysis," Energies, MDPI, vol. 14(4), pages 1-25, February.
    2. Sara C. Pryor & Rebecca J. Barthelmie & Jeremy Cadence & Ebba Dellwik & Charlotte B. Hasager & Stephan T. Kral & Joachim Reuder & Marianne Rodgers & Marijn Veraart, 2022. "Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research," Energies, MDPI, vol. 15(22), pages 1-41, November.
    3. Woochul Nam & Ki-Yong Oh, 2020. "Mutually Complementary Measure-Correlate-Predict Method for Enhanced Long-Term Wind-Resource Assessment," Mathematics, MDPI, vol. 8(10), pages 1-20, October.
    4. Jeanie A. Aird & Rebecca J. Barthelmie & Sara C. Pryor, 2023. "Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images," Energies, MDPI, vol. 16(6), pages 1-23, March.
    5. Johlas, Hannah M. & Schmidt, David P. & Lackner, Matthew A., 2022. "Large eddy simulations of curled wakes from tilted wind turbines," Renewable Energy, Elsevier, vol. 188(C), pages 349-360.

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