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Wind farm cumulative induction zone effect and the impact on energy yield estimation

Author

Listed:
  • Keane, Aidan
  • Nisbet, Iain
  • Calvo, Gabriele
  • Pickering, George
  • Tulloch, Jake
  • More, Graham
  • Koronka, Neil

Abstract

The cumulative induction zone effect arising from the operation of multiple wind turbine generators and their interactions within a wind farm is investigated within the framework of computational fluid dynamics. A computational fluid dynamic model is benchmarked and validated against measured lidar data from an offshore wind farm. A range of wind farm array configurations are investigated and the results are used to advise adjustments relevant to wind farm energy production assessments. Based upon the offshore wind farm array configurations investigated, the outcomes indicate that the cumulative induction zone effect results in a reduction in the induction zone wind velocity of approximately 0.3–1.6%, with a corresponding reduction in energy yield of 0.4–1.2% depending on the wind farm configuration, the inflow wind velocity and the atmospheric stability conditions. In the case of larger wind farms, investigations to date indicate that the cumulative induction zone effect is more pronounced with the appropriate energy adjustment factor predicted to be increased by a factor of up to two. Additionally, wind farm configurations and wind speed distributions differing from those considered within this work may result in cumulative induction zone effect values outside those stated.

Suggested Citation

  • Keane, Aidan & Nisbet, Iain & Calvo, Gabriele & Pickering, George & Tulloch, Jake & More, Graham & Koronka, Neil, 2022. "Wind farm cumulative induction zone effect and the impact on energy yield estimation," Renewable Energy, Elsevier, vol. 181(C), pages 1209-1222.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:1209-1222
    DOI: 10.1016/j.renene.2021.09.056
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    Cited by:

    1. Druault, Philippe & Krawczynski, Jean-François & Çan, Erdi & Germain, Grégory, 2024. "On the necessity of considering the hub when examining the induction of a horizontal axis tidal turbine," Renewable Energy, Elsevier, vol. 224(C).
    2. Esmail Mahmoodi & Mohammad Khezri & Arash Ebrahimi & Uwe Ritschel & Leonardo P. Chamorro & Ali Khanjari, 2023. "A Simple Model for Wake-Induced Aerodynamic Interaction of Wind Turbines," Energies, MDPI, vol. 16(15), pages 1-13, July.
    3. Barasa, Maulidi & Li, Xuemin & Zhang, Yi & Xu, Weiming, 2022. "The balance effects of momentum deficit and thrust in cumulative wake models," Energy, Elsevier, vol. 246(C).
    4. Meyer Forsting, Alexander R. & Navarro Diaz, Gonzalo P. & Segalini, Antonio & Andersen, Søren J. & Ivanell, Stefan, 2023. "On the accuracy of predicting wind-farm blockage," Renewable Energy, Elsevier, vol. 214(C), pages 114-129.
    5. Druault, Philippe & Germain, Grégory, 2022. "Experimental investigation of the upstream turbulent flow modifications in front of a scaled tidal turbine," Renewable Energy, Elsevier, vol. 196(C), pages 1204-1217.

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