Reviewer Comments

Wind turbines in a wind farm operate individually to maximize their own performance regardless of the impact of aerodynamic interactions on neighboring turbines. Wind farm controls can be used to increase power production or reduce overall structural loads by properly coordinating turbines. One wind farm control strategy that is addressed in literature is known as wake steering, wherein upstream turbines operate in yaw misaligned conditions to redirect their wakes away from downstream 5 turbines. The National Renewable Energy Laboratory (NREL) ::: The objective :: of :::: this paper :: is :: to compare field :::: data :::: from :: a scanning lidar mounted ::: on : a turbine :: to controls-oriented wind turbine :::: wake models. :::: The measurements were taken :::: from ::: the turbine nacelle looking downstream :: at ::: the turbine wake. :::: This :::: field campaign ::: was used :: to validate controls-oriented :::: tools :::: used ::: for wind :::: plant controls :::: and optimization. ::: The National Wind Technology Center : in Golden, CO conducted a demonstration of wake steering on a single utility-scale turbine. In this cam10 paign, the turbine was operated at various yaw misalignment setpoints :: set points : while a lidar mounted on the nacelle scanned five downstream distances. Primarily, :::: this paper examines measurements taken :: at :::: 2.35 diameters downstream :: of ::: the turbine. The lidar measurements were combined with turbine data, as well as measurements of the inflow made by a highly instrumented meteorological mast upstream. The full-scale measurements are used to validate controls-oriented tools, including wind turbine wake models, used for wind farm controls and optimization. on-site. This paper presents a quantitative comparison analysis of 15 the lidar data and : as compared :: to ::: the controls-oriented wake models ::: used : under different atmospheric conditions and turbine operation. The These : results show good agreement :: is obtained : between the lidar data and :: nd : the models under these different conditions.