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Wind field characteristics over hilly and complex terrain in turbulent boundary layers

Author

Listed:
  • Hu, Weicheng
  • Yang, Qingshan
  • Chen, Hua-Peng
  • Yuan, Ziting
  • Li, Chen
  • Shao, Shuai
  • Zhang, Jian

Abstract

This study aims to provide a turbulent inlet generation method for Large Eddy Simulation with the consideration of cross-correlation modification, which can overcome the difficulties in completely meeting the specified turbulent characteristics, spectrum and time-correlation and integrate conveniently with the Spectral Element Method and Finite Volume Method. The proposed method is utilized for simulating turbulent boundary layer flow over two types of three-dimensional hills with different slopes, and then is validated by comparing with the wind tunnel tests. From the results, the proposed turbulent inlet generation method for Large Eddy Simulation can accurately predict the distribution of mean wind velocity and turbulence intensity over hilly terrain, and the Large Eddy Simulation with Spectral Element Method appears more efficient in competition than that with Finite Volume Method. Finally, the proposed method is employed to simulate turbulent boundary layer flow over real terrain in Changsha, China. The wind field characteristics of the target complex terrain are analyzed and discussed, which can be used for the fields of wind farm micro-siting over complex terrain in engineering practice.

Suggested Citation

  • Hu, Weicheng & Yang, Qingshan & Chen, Hua-Peng & Yuan, Ziting & Li, Chen & Shao, Shuai & Zhang, Jian, 2021. "Wind field characteristics over hilly and complex terrain in turbulent boundary layers," Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:energy:v:224:y:2021:i:c:s0360544221003194
    DOI: 10.1016/j.energy.2021.120070
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    References listed on IDEAS

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    1. Liu, Zhenqing & Diao, Zheng & Ishihara, Takeshi, 2019. "Study of the flow fields over simplified topographies with different roughness conditions using large eddy simulations," Renewable Energy, Elsevier, vol. 136(C), pages 968-992.
    2. Cunden, Tyagaraja S.M. & Doorga, Jay & Lollchund, Michel R. & Rughooputh, Soonil D.D.V., 2020. "Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS," Energy, Elsevier, vol. 211(C).
    3. Zhenqing Liu & Yiran Hu & Wei Wang, 2019. "Large Eddy Simulations of the Flow Fields over Simplified Hills with Different Roughness Conditions, Slopes, and Hill Shapes: A Systematical Study," Energies, MDPI, vol. 12(18), pages 1-25, September.
    4. Arteaga-López, Ernesto & Angeles-Camacho, César, 2021. "Innovative virtual computational domain based on wind rose diagrams for micrositing small wind turbines," Energy, Elsevier, vol. 220(C).
    5. Kim, Dae-Young & Kim, Yeon-Hee & Kim, Bum-Suk, 2021. "Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear," Energy, Elsevier, vol. 214(C).
    6. Takanori Uchida, 2018. "Numerical Investigation of Terrain-Induced Turbulence in Complex Terrain by Large-Eddy Simulation (LES) Technique," Energies, MDPI, vol. 11(10), pages 1-15, October.
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    Cited by:

    1. Hu, Weicheng & Yang, Qingshan & Chen, Hua-Peng & Guo, Kunpeng & Zhou, Tong & Liu, Min & Zhang, Jian & Yuan, Ziting, 2022. "A novel approach for wind farm micro-siting in complex terrain based on an improved genetic algorithm," Energy, Elsevier, vol. 251(C).
    2. Zhang, Dongqin & Hu, Gang & Song, Jie & Gao, Huanxiang & Ren, Hehe & Chen, Wenli, 2024. "A novel spatio-temporal wind speed forecasting method based on the microscale meteorological model and a hybrid deep learning model," Energy, Elsevier, vol. 288(C).

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