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Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response

Author

Listed:
  • Leila Legris

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

  • Morten Lindholt Pahus

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

  • Takafumi Nishino

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

  • Edgar Perez-Campos

    (Vestas Wind System A/S, Hedeager 42, 8200 Aarhus, Denmark)

Abstract

The engineering wind farm models currently used in industry can assess power losses due to turbine wake effects, but the prediction of power losses due to farm blockage is still a challenge. In this study we demonstrate a new prediction method of farm blockage losses and a possible strategy to mitigate them for a large offshore wind farm in the North Sea, by combining a common engineering wind farm model ’FLORIS’ with the ’two-scale momentum theory’ of Nishino and Dunstan (2020). Results show that the farm blockage losses depend significantly on the ’wind extractability’ factor, which reflects the strength of mesoscale atmospheric response. For a typical range of the extractability factor (assessed using a numerical weather prediction model) the farm blockage losses are shown to vary between about 5% and 15% of the annual energy production (AEP). However, these losses may be mitigated by adjusting turbine operating points taking into account the wind extractability. It is shown that a simple adjustment of the blade pitch angle and tip-speed ratio used below the rated wind speed may increase the AEP by up to about 2%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:386-:d:1019040
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    References listed on IDEAS

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    1. 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.
    2. Amin Niayifar & Fernando Porté-Agel, 2016. "Analytical Modeling of Wind Farms: A New Approach for Power Prediction," Energies, MDPI, vol. 9(9), pages 1-13, September.
    3. 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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