Abstract
Abstract. We perform large eddy simulation of flow in a complex terrain under neutral atmospheric stratification. We study the self-similar behavior of a turbine wake as a function of varying terrain complexity and perform comparisons with a flat terrain. By plotting normalized velocity deficit profiles in different complex terrain cases, we verify that self-similarity is preserved as we move downstream from the turbine. We find that this preservation is valid for a shorter distance downstream compared to what is observed in a flat terrain. A larger spread of the profiles toward the tails due to varying levels of shear is also observed.
Highlights
Rotor wakes have a consequential impact on the efficiency of a wind farm, as the turbines standing in wake generally face lower wind speeds along with enhanced turbulence levels (Barthelmie et al, 2007)
This is partly due to a prospective shift in development of wind farms from flat to complex terrains caused by saturation of ideal flat terrains and increasing development of wind energy over the past 2 decades (Alfredsson and Segalini, 2017; Feng et al, 2017); it is partly due to the recent observational and numerical developments
We look for self-similarity of wind turbine wakes in a complex terrain under neutral atmospheric conditions and without the effect of the Coriolis force
Summary
Rotor wakes have a consequential impact on the efficiency of a wind farm, as the turbines standing in wake generally face lower wind speeds along with enhanced turbulence levels (Barthelmie et al, 2007). We look for self-similarity of wind turbine wakes in a complex terrain under neutral atmospheric conditions and without the effect of the Coriolis force For this purpose, we extend the work by Berg et al (2017) and verify self-similarity of wakes under different terrain characteristics and turbine locations. We extend the work by Berg et al (2017) and verify self-similarity of wakes under different terrain characteristics and turbine locations If successful, this can potentially provide a basis for the development of analytical models for wakes in complex terrains (Luzzatto-Fegiz, 2018).
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