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Far-Wake Meandering of a Wind Turbine Model with Imposed Motions: An Experimental S-PIV Analysis

Author

Listed:
  • Navid Belvasi

    (MaREI Centre, Environmental Research Institute, University College Cork, P43 C573 Cork, Ireland)

  • Boris Conan

    (Nantes Université, Ecole Centrale Nantes, CNRS, LHEEA, UMR 6598, F-44000 Nantes, France)

  • Benyamin Schliffke

    (Nantes Université, Ecole Centrale Nantes, CNRS, LHEEA, UMR 6598, F-44000 Nantes, France)

  • Laurent Perret

    (Nantes Université, Ecole Centrale Nantes, CNRS, LHEEA, UMR 6598, F-44000 Nantes, France)

  • Cian Desmond

    (Gavin & Doherty Geosolutions Ltd., D14 X627 Dublin, Ireland)

  • Jimmy Murphy

    (MaREI Centre, Environmental Research Institute, University College Cork, P43 C573 Cork, Ireland)

  • Sandrine Aubrun

    (Nantes Université, Ecole Centrale Nantes, CNRS, LHEEA, UMR 6598, F-44000 Nantes, France)

Abstract

Intra-array wake meandering increases fatigue loading in downstream turbines and decreases farm total power output. In the case of floating offshore wind turbines (FOWTs), the motions of the floating substructure could have a non-neglectable contribution to wake meandering dynamics. This research experientially analyses the influence of imposed motions on the far-wake meandering of a FOWT. The study considers a 1:500 scaled porous disc representation of the 2 MW FLOATGEN system (BW Ideol) located off the coast of Le Croisic, France. A representative marine neutral atmospheric boundary layer is generated in a wind tunnel whilst monochromic and multi-frequency content three degrees of freedom (surge, heave, pitch) motion is imposed on the model tower. The stereoscopic particle image velocimetry (S-PIV) is then utilised to measure velocity vectors at a cross-section located at 8.125 D downstream of the model. No significant effect on the far-wake recovery in the velocity, turbulence and turbulent kinetic energy distribution is observed. However, the frequency characteristics of the imposed motions were observed in the far-wake meandering spectral content and streamwise characteristics of far-wake, such as normalised available power. While the frequency spectrum of the vertical oscillations showed more sensitivity to the three degrees of freedom (3DoF) imposed motion in all frequency ranges, the lateral oscillation was sensitive for the reduced frequency above 0.15. The monochromic motions with a reduced frequency of less than 0.15 also did not influence the far-wake centre distribution in both lateral and vertical directions. Regardless of reduced frequency, imposed motions show a strong effect on average power, in which the harmonic signature can distinguish in far-wake memory. This study provides an investigation, which its result could be beneficial to developing and examining wake models for offshore wind turbines, with a particular focus on the influence of FOWTs motions.

Suggested Citation

  • Navid Belvasi & Boris Conan & Benyamin Schliffke & Laurent Perret & Cian Desmond & Jimmy Murphy & Sandrine Aubrun, 2022. "Far-Wake Meandering of a Wind Turbine Model with Imposed Motions: An Experimental S-PIV Analysis," Energies, MDPI, vol. 15(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7757-:d:948026
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    References listed on IDEAS

    as
    1. Xiaolei Yang & Fotis Sotiropoulos, 2019. "A Review on the Meandering of Wind Turbine Wakes," Energies, MDPI, vol. 12(24), pages 1-20, December.
    2. Fu, Shifeng & Jin, Yaqing & Zheng, Yuan & Chamorro, Leonardo P., 2019. "Wake and power fluctuations of a model wind turbine subjected to pitch and roll oscillations," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Haojun Tang & Kit-Ming Lam & Kei-Man Shum & Yongle Li, 2019. "Wake Effect of a Horizontal Axis Wind Turbine on the Performance of a Downstream Turbine," Energies, MDPI, vol. 12(12), pages 1-18, June.
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