Often hundreds of rotors can be installed in a typical wind farm. A little-known fact, however, is that the shadowing caused by the wind turbine rotors impacts the performance of neighbouring turbines and reduces their lifespan. As part of an EU project, researchers from the Technical University of Munich (TUM) are studying these interactions in a wind tunnel and developing a computer model that will help improve the efficiency of wind farms.
Up to now, wind turbines have tended to be solo performers, with each installation designed to deliver maximum power over the longest possible period of time. This individualistic perspective is not conducive to the overall performance of the wind farm, however, because each turbine creates wind shadow and turbulence, which may have a negative influence on its neighbouring installations. If the objective is to make wind farms work as efficiently as possible, it is vital to focus on the collective operation of the wind farm, instead of the individual behaviour of each wind turbine.
Tapping more power with intelligent control
This presents quite a challenge for scientists since the complex interactions within a wind farm are hard to gauge and even harder to control. Each rotor influences the movement of air that flows around it, slowing it down and creating turbulence. This shadow effect negatively impacts the power generation of the downstream turbines and stresses their components. The tower, rotor blades and generators are constantly exposed to turbulent air flows, so premature fatigue is inevitable. Scientists from around the world have been trying for years to make wind farms more efficient by minimising the impact of wind shadow.
TUM researchers have now shown in experimental tests, conducted within the German-funded CompactWind project, that intelligent control technologies can reduce shadow effects in wind farms.
Prof. Carlo Bottasso, the chair of wind energy at TUM, says this approach involves deflecting the wake – the turbulent and low-speed shadow shed by each wind turbine – so that it does not directly impact the downstream machines. Last year, Prof. Bottasso and his team were awarded the Bavarian Energy Prize for their work on wind farm control.
Putting it to the test in a wind tunnel
How does one go about optimising the air flow in a wind farm? The wake can be deflected by yawing the rotor, which means that the wind hits the rotor slightly from the side rather than head-on.
In order to better understand how the different ways of operating wind turbines influence the power yield of wind farms as a whole, the team built scale models. Like their full-scale counterparts, the 1,5 m miniature turbines feature generators, drives and even motors to adjust the individual blades, exactly as in real wind turbines. Each model is also equipped with sensors to determine the forces affecting its various components.
With three of these models in their luggage, the researchers set off from Munich to Milan. The Politecnico di Milano has a wind tunnel capable of replicating to scale the air flows in the lower atmosphere of the Earth. Tests confirmed that wake interactions do indeed reduce power yield.
The next step for the engineers was to find a way to optimise power output. They connected the three models to a central controller which operated as the “brain” of the wind farm. This control system ensured that the wind turbines worked as a group to deliver the best possible outcome. This is in contrast to the current practice, where each wind turbine operates individually, without any coordination with other wind turbines.
During the experiments, the upwind turbines were automatically yawed to point slightly away from the wind in order to reduce the shading on the downstream turbines. While this reduces the performance of the yawed wind turbine, this loss is more than compensated for by the greater power generated by the downstream turbines.
With the wake deflected, the components of these turbines are also exposed to less fatigue, resulting in an extended life. Measurements in the wind tunnel showed for the first time that automated wind farm control capabilities can significantly improve power output.
Contact Johannes Schreiber, Technical University of Munich, email@example.com