Although wind turbines have been well studied from a blade aerodynamics perspective, the interactions among these massive structures and the atmospheric turbulent boundary layer (ATBL) are still not understood in detail. It is important to understand such interactions in order to maximize the energy that can be extracted from the available wind resource. Numerous computational, field, experimental and analytical studies have determined the relevance of these wind turbine atmosphere interactions. For instance, past investigations have determined that wind turbines that operate within an array can display a power generation loss of up to 40%, when compared to a freestanding wind turbine [2][3][4][5].

Although CFD tools have been gaining attention, analytical methods are still the most commonly used approaches to design wind farm layouts. These methods use kinematic wake models, such as PARK [6], to determine wind farm layouts that maximize energy extraction. Input parameters to such models include the entrainment of kinetic energy and the induction factor, which is a parameter associated with the drop in mean velocity due to wind turbine rotors [7]. The optimal value chosen for this parameter (a= 1/3 leading to the Betz limit) is based in the assumption of ideal potential flow in describing the streamtube that follows the flow that passes through the wind turbine rotor disk.