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Effects of axial induction control on wind farm energy production - A field test

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  • van der Hoek, Daan
  • Kanev, Stoyan
  • Allin, Julian
  • Bieniek, David
  • Mittelmeier, Niko

Abstract

Recent years have seen an increased interest in literature in Active Wake Control (AWC) strategies, which aim to reduce wake losses in wind farms in order to increase the energy yield and/or decrease loading. This paper presents the results from field tests with one of the AWC strategies, called axial induction control, at a commercial wind farm. To this end, the pitch angle offset for the most upstream wind turbines were optimized for each wind direction to maximize the power capture of the whole farm. This optimization is performed using the wake model FarmFlow, a code based on parabolized Computational Fluid Dynamics (CFD). After calibration of the wind direction measurement and implementation of the optimized pitch settings, a measurement campaign of one year has been performed. The analysis of the measurements indicate that axial induction control results in increased energy production.

Suggested Citation

  • van der Hoek, Daan & Kanev, Stoyan & Allin, Julian & Bieniek, David & Mittelmeier, Niko, 2019. "Effects of axial induction control on wind farm energy production - A field test," Renewable Energy, Elsevier, vol. 140(C), pages 994-1003.
    • Handle: RePEc:eee:renene:v:140:y:2019:i:c:p:994-1003
    DOI: 10.1016/j.renene.2019.03.117
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    References listed on IDEAS

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    1. van Dijk, Mike T. & van Wingerden, Jan-Willem & Ashuri, Turaj & Li, Yaoyu, 2017. "Wind farm multi-objective wake redirection for optimizing power production and loads," Energy, Elsevier, vol. 121(C), pages 561-569.
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    Cited by:

    1. van den Broek, Maarten J. & De Tavernier, Delphine & Sanderse, Benjamin & van Wingerden, Jan-Willem, 2022. "Adjoint optimisation for wind farm flow control with a free-vortex wake model," Renewable Energy, Elsevier, vol. 201(P1), pages 752-765.
    2. Bart Matthijs Doekemeijer & Eric Simley & Paul Fleming, 2022. "Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms," Energies, MDPI, vol. 15(6), pages 1-23, March.
    3. Chen, Kaixuan & Lin, Jin & Qiu, Yiwei & Liu, Feng & Song, Yonghua, 2022. "Joint optimization of wind farm layout considering optimal control," Renewable Energy, Elsevier, vol. 182(C), pages 787-796.
    4. Wang, Ni & Li, Jian & Yu, Xiang & Zhou, Dao & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2020. "Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation," Renewable Energy, Elsevier, vol. 148(C), pages 113-123.

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