Abstract
This work compares the wake resolution for several meshes in order to find an accurate yet computationally efficient grid. The mesh is identified through a parametric study where the wake resolution is gradually increased using up to 55 million cells. The mesh is designed in order to support CFD-based shape design, considering not only the wind turbine power but also an improved wake recovery. Furthermore, a comparison between steady-state and transient RANS formulations is presented. The proposed meshing should allow for extending a recently published CFD-based shape design focusing on wind turbine power, to also include wake behavior in an optimization context.
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