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Evolution of flow characteristics through finite-sized wind farms and influence of turbine arrangement

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  • Sharma, V.
  • Cortina, G.
  • Margairaz, F.
  • Parlange, M.B.
  • Calaf, M.

Abstract

Evolution of flow characteristics through finite-sized wind farms and the influence of the wind-farm configuration on modulating this evolution is explored through numerical simulations. The principal aim for the study is to identify regions of flow-adjustment and flow equilibrium within the wind farm. Towards this aim, a suite of five large-eddy simulations (LES) of the neutral atmospheric boundary layer with extremely long streamwise domains are performed with embedded finite-sized wind farms of different streamwise and spanwise spacing. Three diagnostic variables, namely, the wind-farm induced effective surface roughness, the wake viscosity and the wake-expansion coefficient are computed using the LES-generated database and are used to characterize the flow. Computation of the diagnostic variables is relevant to the wind-energy community in different contexts ranging from parametrization of wind farms in weather and climate models, to wind-farm design and optimization based on wake-models and eddy-viscosity type Reynolds-averaged Navier-Stokes solvers. Results show that flow equilibrium is achieved in the ‘most dense’ configuration of sx≈8D,sy≈5D at approximately the 19th row. Results also indicate that the streamwise spacing plays a dominant role determining the rate at which flow-adjustment is achieved within the wind farm.

Suggested Citation

  • Sharma, V. & Cortina, G. & Margairaz, F. & Parlange, M.B. & Calaf, M., 2018. "Evolution of flow characteristics through finite-sized wind farms and influence of turbine arrangement," Renewable Energy, Elsevier, vol. 115(C), pages 1196-1208.
    • Handle: RePEc:eee:renene:v:115:y:2018:i:c:p:1196-1208
    DOI: 10.1016/j.renene.2017.08.075
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    References listed on IDEAS

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    1. Wu, Yu-Ting & Porté-Agel, Fernando, 2015. "Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm," Renewable Energy, Elsevier, vol. 75(C), pages 945-955.
    2. Abkar, Mahdi & Porté-Agel, Fernando, 2014. "Mean and turbulent kinetic energy budgets inside and above very large wind farms under conventionally-neutral condition," Renewable Energy, Elsevier, vol. 70(C), pages 142-152.
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    Cited by:

    1. Wu, Yu-Ting & Liao, Teh-Lu & Chen, Chang-Kuo & Lin, Chuan-Yao & Chen, Po-Wei, 2019. "Power output efficiency in large wind farms with different hub heights and configurations," Renewable Energy, Elsevier, vol. 132(C), pages 941-949.
    2. Wang, Qiang & Luo, Kun & Yuan, Renyu & Wang, Shuai & Fan, Jianren & Cen, Kefa, 2020. "A multiscale numerical framework coupled with control strategies for simulating a wind farm in complex terrain," Energy, Elsevier, vol. 203(C).
    3. Cortina, G. & Sharma, V. & Torres, R. & Calaf, M., 2020. "Mean kinetic energy distribution in finite-size wind farms: A function of turbines’ arrangement," Renewable Energy, Elsevier, vol. 148(C), pages 585-599.

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