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Benchmarking of a Free Vortex Wake Model for Prediction of Wake Interactions

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  • Shaler, Kelsey
  • Kecskemety, Krista M.
  • McNamara, Jack J.

Abstract

Turbine-wake interactions pose significant challenges in the development of wind farms. These interactions can lead to an increase in wind energy cost through reduction in wind farm power efficiency as well as a reduction of functional turbine lifetime. The overall objective of this work is to assess the free vortex wake (FVW) approach for capturing wind farm interactions in the context of improved wind farm optimization. Specific focus areas include (1) analyzing the effects of turbine-wake interaction and (2) benchmarking of the model against experimental wind farm measurements. The effects of turbine-wake interactions are analyzed in terms of wake structure, rotor power, and structural response. The FVW model predicts increased unsteadiness in wake-influenced turbine rotor power and out-of-plane blade root bending moment. This could have implications for prediction of turbine life and suggests that the transient as well as average response of turbines should be considered to fully capture the effects of wake interaction. Comparisons between the FVW predictions and experimental measurements of relative rotor power are made over varying yaw angle and freestream velocity. Overall trends are predicted by the FVW approach, with less than 13% error on average when compared to wind farm measurements. These results indicate the FVW method is a useful tool for carrying out improved optimization of wind farms.

Suggested Citation

  • Shaler, Kelsey & Kecskemety, Krista M. & McNamara, Jack J., 2019. "Benchmarking of a Free Vortex Wake Model for Prediction of Wake Interactions," Renewable Energy, Elsevier, vol. 136(C), pages 607-620.
    • Handle: RePEc:eee:renene:v:136:y:2019:i:c:p:607-620
    DOI: 10.1016/j.renene.2018.12.044
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    References listed on IDEAS

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    1. Migoya, Emilio & Crespo, Antonio & García, Javier & Moreno, Fermín & Manuel, Fernando & Jiménez, Ángel & Costa, Alexandre, 2007. "Comparative study of the behavior of wind-turbines in a wind farm," Energy, Elsevier, vol. 32(10), pages 1871-1885.
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    3. Sebastian, T. & Lackner, M.A., 2012. "Development of a free vortex wake method code for offshore floating wind turbines," Renewable Energy, Elsevier, vol. 46(C), pages 269-275.
    4. Kecskemety, Krista M. & McNamara, Jack J., 2016. "Influence of wake dynamics on the performance and aeroelasticity of wind turbines," Renewable Energy, Elsevier, vol. 88(C), pages 333-345.
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    Cited by:

    1. Fei, Zhao & Tengyuan, Wang & Xiaoxia, Gao & Haiying, Sun & Hongxing, Yang & Zhonghe, Han & Yu, Wang & Xiaoxun, Zhu, 2020. "Experimental study on wake interactions and performance of the turbines with different rotor-diameters in adjacent area of large-scale wind farm," Energy, Elsevier, vol. 199(C).
    2. Wenyan Li & Yuxuan Xiong & Guoliang Su & Zuyang Ye & Guowu Wang & Zhao Chen, 2023. "The Aerodynamic Performance of Horizontal Axis Wind Turbines under Rotation Condition," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    3. Wei Zhong & Wen Zhong Shen & Tong Guang Wang & Wei Jun Zhu, 2019. "A New Method of Determination of the Angle of Attack on Rotating Wind Turbine Blades," Energies, MDPI, vol. 12(20), pages 1-19, October.
    4. Kuichao Ma & Huanqiang Zhang & Xiaoxia Gao & Xiaodong Wang & Heng Nian & Wei Fan, 2024. "Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis," Sustainability, MDPI, vol. 16(5), pages 1-16, February.

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