IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7757-d948026.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7757/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/20/7757/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Xiaolei Yang & Fotis Sotiropoulos, 2019. "A Review on the Meandering of Wind Turbine Wakes," Energies, MDPI, vol. 12(24), pages 1-20, December.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rezaeiha, Abdolrahim & Micallef, Daniel, 2021. "Wake interactions of two tandem floating offshore wind turbines: CFD analysis using actuator disc model," Renewable Energy, Elsevier, vol. 179(C), pages 859-876.
    2. Wu, Chutian & Yang, Xiaolei & Zhu, Yaxin, 2021. "On the design of potential turbine positions for physics-informed optimization of wind farm layout," Renewable Energy, Elsevier, vol. 164(C), pages 1108-1120.
    3. Dong, Xinghui & Li, Jia & Gao, Di & Zheng, Kai, 2020. "Wind speed modeling for cascade clusters of wind turbines part 1: The cascade clusters of wind turbines," Energy, Elsevier, vol. 205(C).
    4. Fu, Shifeng & Li, Zheng & Zhu, Weijun & Han, Xingxing & Liang, Xiaoling & Yang, Hua & Shen, Wenzhong, 2023. "Study on aerodynamic performance and wake characteristics of a floating offshore wind turbine under pitch motion," Renewable Energy, Elsevier, vol. 205(C), pages 317-325.
    5. Zhang, Buen & Jin, Yaqing & Cheng, Shyuan & Zheng, Yuan & Chamorro, Leonardo P., 2022. "On the dynamics of a model wind turbine under passive tower oscillations," Applied Energy, Elsevier, vol. 311(C).
    6. Feng, Dachuan & Li, Larry K.B. & Gupta, Vikrant & Wan, Minping, 2022. "Componentwise influence of upstream turbulence on the far-wake dynamics of wind turbines," Renewable Energy, Elsevier, vol. 200(C), pages 1081-1091.
    7. Shyuan Cheng & Mahmoud Elgendi & Fanghan Lu & Leonardo P. Chamorro, 2021. "On the Wind Turbine Wake and Forest Terrain Interaction," Energies, MDPI, vol. 14(21), pages 1-13, November.
    8. De Cillis, Giovanni & Cherubini, Stefania & Semeraro, Onofrio & Leonardi, Stefano & De Palma, Pietro, 2022. "Stability and optimal forcing analysis of a wind turbine wake: Comparison with POD," Renewable Energy, Elsevier, vol. 181(C), pages 765-785.
    9. Emmanuvel Joseph Aju & Dhanush Bhamitipadi Suresh & Yaqing Jin, 2020. "The Influence of Winglet Pitching on the Performance of a Model Wind Turbine: Aerodynamic Loads, Rotating Speed, and Wake Statistics," Energies, MDPI, vol. 13(19), pages 1-15, October.
    10. Liang, Xiaoling & Fu, Shifeng & Cai, Fulin & Han, Xingxing & Zhu, Weijun & Yang, Hua & Shen, Wenzhong, 2023. "Experimental investigation on wake characteristics of wind turbine and a new two-dimensional wake model," Renewable Energy, Elsevier, vol. 203(C), pages 373-381.
    11. Zhang, Yi & Li, Zhaobin & Liu, Xiaohao & Sotiropoulos, Fotis & Yang, Xiaolei, 2023. "Turbulence in waked wind turbine wakes: Similarity and empirical formulae," Renewable Energy, Elsevier, vol. 209(C), pages 27-41.
    12. Zhaobin Li & Xiaolei Yang, 2020. "Evaluation of Actuator Disk Model Relative to Actuator Surface Model for Predicting Utility-Scale Wind Turbine Wakes," Energies, MDPI, vol. 13(14), pages 1-18, July.
    13. Zhaobin Li & Xiaohao Liu & Xiaolei Yang, 2022. "Review of Turbine Parameterization Models for Large-Eddy Simulation of Wind Turbine Wakes," Energies, MDPI, vol. 15(18), pages 1-28, September.
    14. Yunliang Li & Zhaobin Li & Zhideng Zhou & Xiaolei Yang, 2023. "Large-Eddy Simulation of Wind Turbine Wakes in Forest Terrain," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    15. Duan, Lei & Sun, Qinghong & He, Zanyang & Li, Gen, 2022. "Wake topology and energy recovery in floating horizontal-axis wind turbines with harmonic surge motion," Energy, Elsevier, vol. 260(C).
    16. Arabgolarcheh, Alireza & Micallef, Daniel & Benini, Ernesto, 2023. "The impact of platform motion phase differences on the power and load performance of tandem floating offshore wind turbines," Energy, Elsevier, vol. 284(C).
    17. Fu, Shifeng & Zhang, Buen & Zheng, Yuan & Chamorro, Leonardo P., 2020. "In-phase and out-of-phase pitch and roll oscillations of model wind turbines within uniform arrays," Applied Energy, Elsevier, vol. 269(C).
    18. Zeng, Fanxu & Zhang, Ningchuan & Huang, Guoxing & Gu, Qian & He, Meng, 2023. "Dynamic response of floating offshore wind turbines under freak waves with large crest and deep trough," Energy, Elsevier, vol. 278(C).
    19. Buen Zhang & Shyuan Cheng & Fanghan Lu & Yuan Zheng & Leonardo P. Chamorro, 2020. "Impact of Topographic Steps in the Wake and Power of a Wind Turbine: Part A—Statistics," Energies, MDPI, vol. 13(23), pages 1-14, December.
    20. Grzegorz Ludwik Golewski, 2021. "The Beneficial Effect of the Addition of Fly Ash on Reduction of the Size of Microcracks in the ITZ of Concrete Composites under Dynamic Loading," Energies, MDPI, vol. 14(3), pages 1-14, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7757-:d:948026. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.