Wake Steering Experiment


Planned for May through September 2016, Sandia National Laboratories and the National Renewable Energy Laboratory will execute a joint experimental campaign examining wind farm control at the Scaled Wind Farm Technology (SWiFT) facility, hosted at Texas Tech University in Lubbock, Texas. The experimental campaign will be conducted in two phases. In Phase I, an Offset Controller (OC) will be applied to the upwind wind turbine. This controller applies an offset to a nacelle-based wind direction sensor used for aligning the turbine to the wind direction to achieve a prescribed misalignment to the wind. In Phase II, the controller will be replaced by a Wake Steering Controller (WSC) that uses a look-up table based on the FLOw Redirection and Induction in Steady-state (FLORIS) model to find offsets that produce a desired amount of wake steering. The data collected during both phases will be used to perform initial verification and validation studies on controls-oriented models, such as FLORIS, as well as higher-fidelity wind plant analysis models, such as Simulator fOr Wind Farm Applications (SOWFA). Target data include inflow, wake, and turbine performance and loads.

Primary Contact(s)

Brian Naughton
Sandia National Laboratories
Scott Schreck
Alan Wright


This experimental campaign at SWiFT aims to demonstrate the capability of wake steering control to improve total wind turbine array power production. In addition, the public dataset produced by this project will be available to perform preliminary verification and validation studies on computational models, including FLORIS and SOWFA.



SWiFT wind turbine. The upwind SWiFT turbine known as (WTGa1) will be the primary instrumented research turbine to collect power and loads data.

SWiFT met towers. Two upwind SWiFT meteorological towers (METa1 and METb1) will collect inflow data.

DTU SpinnerLidar. A customized research scanning lidar from the Technical University of Denmark, installed in the upwind turbine nacelle (cover housing the turbine's generating components) and facing downwind, will characterize the wake.

External Resource: http://swift.sandia.gov
Browse Data



4.3 K

Files Stored

56.3 GB