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Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response

Author

Listed:
  • Kelan Patel

    (Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK)

  • Thomas D. Dunstan

    (Met Office, FitzRoy Road, Exeter EX1 3PB, UK)

  • Takafumi Nishino

    (Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK)

Abstract

A prototype of a new physics-based wind resource assessment method is presented, which allows the prediction of upper limits to the performance of large wind farms (including the power loss due to wind farm blockage) in a site-specific and time-dependent manner. The new method combines the two-scale momentum theory with a numerical weather prediction (NWP) model to assess the “extractability” of wind, i.e., how high the wind speed at a given site can be maintained as we increase the number of turbines installed. The new method is applied to an offshore wind farm site in the North Sea to demonstrate that: (1) Only a pair of NWP simulations (one without wind farm and the other with wind farm with an arbitrary level of flow resistance) are required to predict the extractability. (2) The extractability varies significantly from time to time, which may cause more than 30% of change in the upper limit of the performance of medium-to-high-density offshore wind farms. These results suggest the importance of considering not only the natural wind speed but also its extractability in the prediction of (both long- and short-term) power production of large wind farms.

Suggested Citation

  • Kelan Patel & Thomas D. Dunstan & Takafumi Nishino, 2021. "Time-Dependent Upper Limits to the Performance of Large Wind Farms Due to Mesoscale Atmospheric Response," Energies, MDPI, vol. 14(19), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6437-:d:652040
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    References listed on IDEAS

    as
    1. Jacob R. West & Sanjiva K. Lele, 2020. "Wind Turbine Performance in Very Large Wind Farms: Betz Analysis Revisited," Energies, MDPI, vol. 13(5), pages 1-25, March.
    2. James Bleeg & Mark Purcell & Renzo Ruisi & Elizabeth Traiger, 2018. "Wind Farm Blockage and the Consequences of Neglecting Its Impact on Energy Production," Energies, MDPI, vol. 11(6), pages 1-20, June.
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    Cited by:

    1. Leila Legris & Morten Lindholt Pahus & Takafumi Nishino & Edgar Perez-Campos, 2022. "Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response," Energies, MDPI, vol. 16(1), pages 1-17, December.

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