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Effect of downwind swells on offshore wind energy harvesting – A large-eddy simulation study

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  • Yang, Di
  • Meneveau, Charles
  • Shen, Lian

Abstract

The effect of ocean downwind swells on the harvesting of offshore wind energy is studied using large-eddy simulation of fully developed wind turbine array boundary layers, which is dynamically coupled with high-order spectral simulation of sea-surface wave field with and without the presence of a downwind swell. For the two moderate wind speeds of 7 m/s and 10 m/s considered in this study, the swell is found to induce a temporal oscillation in the extracted wind power at the swell frequency, with a magnitude of 6.7% and 4.0% of the mean wind power output, respectively. Furthermore, the averaged wind power extraction is found to be increased by as much as 18.8% and 13.6%, respectively. Statistical analysis of the wind field indicates that the wind speed in the lower portion of the boundary layer oscillates periodically with fast wind above the swell trough and slow wind above the swell crest, resulting in the observed wind power oscillation. The wind above the swell accelerates due to the strong wave forcing, causes a net upward flux of kinetic energy into the wind turbine layer, and thus acts to increase the extracted wind power of the turbines. For a high wind speed of 17 m/s, the wave-induced motion becomes relatively weak and the swell effect on the wind turbine performance diminishes.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:70:y:2014:i:c:p:11-23
    DOI: 10.1016/j.renene.2014.03.069
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    References listed on IDEAS

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    1. Leonardo P. Chamorro & Fernando Porté-Agel, 2011. "Turbulent Flow Inside and Above a Wind Farm: A Wind-Tunnel Study," Energies, MDPI, vol. 4(11), pages 1-21, November.
    2. Stevens, Richard J.A.M. & Graham, Jason & Meneveau, Charles, 2014. "A concurrent precursor inflow method for Large Eddy Simulations and applications to finite length wind farms," Renewable Energy, Elsevier, vol. 68(C), pages 46-50.
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    Cited by:

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    3. 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.
    4. Porchetta, Sara & Muñoz-Esparza, Domingo & Munters, Wim & van Beeck, Jeroen & van Lipzig, Nicole, 2021. "Impact of ocean waves on offshore wind farm power production," Renewable Energy, Elsevier, vol. 180(C), pages 1179-1193.
    5. Yang, Haoze & Ge, Mingwei & Gu, Bo & Du, Bowen & Liu, Yongqian, 2022. "The effect of swell on marine atmospheric boundary layer and the operation of an offshore wind turbine," Energy, Elsevier, vol. 244(PB).
    6. Kan, Junwu & Wang, Jin & Wu, Yaqi & Chen, Song & Wang, Shuyun & Jiang, Yonghua & Zhang, Zhonghua, 2022. "Energy harvesting from wind by an axially retractable bracket-shaped piezoelectric vibrator excited by magnetic force," Energy, Elsevier, vol. 240(C).
    7. Yang, Haoze & Ge, Mingwei & Abkar, Mahdi & Yang, Xiang I.A., 2022. "Large-eddy simulation study of wind turbine array above swell sea," Energy, Elsevier, vol. 256(C).
    8. Xiaoshu Lü & Tao Lu & Tong Yang & Heidi Salonen & Zhenxue Dai & Peter Droege & Hongbing Chen, 2021. "Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review," Energies, MDPI, vol. 14(17), pages 1-23, August.
    9. 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.
    10. 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.
    11. 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.

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