IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1246-d218944.html
   My bibliography  Save this article

Large-Eddy Simulation-Based Study of Effect of Swell-Induced Pitch Motion on Wake-Flow Statistics and Power Extraction of Offshore Wind Turbines

Author

Listed:
  • Shuolin Xiao

    (Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA)

  • Di Yang

    (Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA)

Abstract

In this study, the effects of ocean swell waves and swell-induced pitch motion on the wake-flow statistics and power extraction of floating wind turbines are numerically investigated. A hybrid numerical model coupling wind large-eddy (LES) and high-order spectral-wave simulations is employed to capture the effects of ocean swell waves on offshore wind. In the simulation, 3 × 3 floating wind turbines with prescribed pitch motions were modeled using the actuator disk model. The turbulence statistics and wind-power extraction rate for the floating turbines are quantified and compared to a reference case with fixed turbines. Statistical analysis based on the phase-average approach shows significant swell-correlated wind-velocity variations in both cases, and the swell-induced pitch motion of floating turbines is found to cause oscillations of wind-turbulence intensity and Reynolds stress, as well as an increase of vertical velocity variance in the near-wake region. Swells also cause periodic oscillation in extracted power density in the fixed turbine case, and the turbine pitch motion in the floating turbine case could further modulate this oscillation by shifting the phase dependence by about 180 degrees with respect to the swell-wave phase.

Suggested Citation

  • Shuolin Xiao & Di Yang, 2019. "Large-Eddy Simulation-Based Study of Effect of Swell-Induced Pitch Motion on Wake-Flow Statistics and Power Extraction of Offshore Wind Turbines," Energies, MDPI, vol. 12(7), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1246-:d:218944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1246/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/7/1246/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rockel, Stanislav & Peinke, Joachim & Hölling, Michael & Cal, Raúl Bayoán, 2016. "Wake to wake interaction of floating wind turbine models in free pitch motion: An eddy viscosity and mixing length approach," Renewable Energy, Elsevier, vol. 85(C), pages 666-676.
    2. Stanislav Rockel & Elizabeth Camp & Jonas Schmidt & Joachim Peinke & Raúl Bayoán Cal & Michael Hölling, 2014. "Experimental Study on Influence of Pitch Motion on the Wake of a Floating Wind Turbine Model," Energies, MDPI, vol. 7(4), pages 1-32, March.
    3. Stevens, Richard J.A.M. & Martínez-Tossas, Luis A. & Meneveau, Charles, 2018. "Comparison of wind farm large eddy simulations using actuator disk and actuator line models with wind tunnel experiments," Renewable Energy, Elsevier, vol. 116(PA), pages 470-478.
    4. Yang, Di & Meneveau, Charles & Shen, Lian, 2014. "Effect of downwind swells on offshore wind energy harvesting – A large-eddy simulation study," Renewable Energy, Elsevier, vol. 70(C), pages 11-23.
    5. Wen, Binrong & Dong, Xingjian & Tian, Xinliang & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2018. "The power performance of an offshore floating wind turbine in platform pitching motion," Energy, Elsevier, vol. 154(C), pages 508-521.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Guangjun Yang & Xiaoxiao Li & Li Ding & Fahua Zhu & Zhigang Wang & Sheng Wang & Zhen Xu & Jingxin Xu & Pengxiang Qiu & Zhaobing Guo, 2019. "CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS," Energies, MDPI, vol. 12(19), pages 1-21, September.
    3. 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).

    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. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    2. Wen, Binrong & Tian, Xinliang & Zhang, Qi & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "Wind shear effect induced by the platform pitch motion of a spar-type floating wind turbine," Renewable Energy, Elsevier, vol. 135(C), pages 1186-1199.
    3. Zhang, Huan & Ge, Mingwei & Liu, Yongqian & Yang, Xiang I.A., 2021. "A new coupled model for the equivalent roughness heights of wind farms," Renewable Energy, Elsevier, vol. 171(C), pages 34-46.
    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. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions," Energy, Elsevier, vol. 168(C), pages 1138-1156.
    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. Fang, Yuan & Duan, Lei & Han, Zhaolong & Zhao, Yongsheng & Yang, He, 2020. "Numerical analysis of aerodynamic performance of a floating offshore wind turbine under pitch motion," Energy, Elsevier, vol. 192(C).
    8. 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.
    9. Wen, Binrong & Dong, Xingjian & Tian, Xinliang & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2018. "The power performance of an offshore floating wind turbine in platform pitching motion," Energy, Elsevier, vol. 154(C), pages 508-521.
    10. Xiong, Xue-Lu & Lyu, Pin & Chen, Wen-Li & Li, Hui, 2020. "Self-similarity in the wake of a semi-submersible offshore wind turbine considering the interaction with the wake of supporting platform," Renewable Energy, Elsevier, vol. 156(C), pages 328-341.
    11. 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.
    12. Pin Lyu & Wen-Li Chen & Hui Li & Lian Shen, 2019. "A Numerical Study on the Development of Self-Similarity in a Wind Turbine Wake Using an Improved Pseudo-Spectral Large-Eddy Simulation Solver," Energies, MDPI, vol. 12(4), pages 1-24, February.
    13. 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).
    14. 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).
    15. Micallef, Daniel & Rezaeiha, Abdolrahim, 2021. "Floating offshore wind turbine aerodynamics: Trends and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    16. Abutunis, A. & Taylor, G. & Fal, M. & Chandrashekhara, K., 2020. "Experimental evaluation of coaxial horizontal axis hydrokinetic composite turbine system," Renewable Energy, Elsevier, vol. 157(C), pages 232-245.
    17. Kale, Baris & Buckingham, Sophia & van Beeck, Jeroen & Cuerva-Tejero, Alvaro, 2023. "Comparison of the wake characteristics and aerodynamic response of a wind turbine under varying atmospheric conditions using WRF-LES-GAD and WRF-LES-GAL wind turbine models," Renewable Energy, Elsevier, vol. 216(C).
    18. Li, B. & Zhou, D.L. & Wang, Y. & Shuai, Y. & Liu, Q.Z. & Cai, W.H., 2020. "The design of a small lab-scale wind turbine model with high performance similarity to its utility-scale prototype," Renewable Energy, Elsevier, vol. 149(C), pages 435-444.
    19. Rockel, Stanislav & Peinke, Joachim & Hölling, Michael & Cal, Raúl Bayoán, 2017. "Dynamic wake development of a floating wind turbine in free pitch motion subjected to turbulent inflow generated with an active grid," Renewable Energy, Elsevier, vol. 112(C), pages 1-16.
    20. Guo, Yize & Wang, Xiaodong & Mei, Yuanhang & Ye, Zhaoliang & Guo, Xiaojiang, 2022. "Effect of coupled platform pitch-surge motions on the aerodynamic characters of a horizontal floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 278-297.

    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:12:y:2019:i:7:p:1246-:d:218944. 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.