Abstract. A wind tunnel experiment is presented which combines the use of controlled turbulent inflow conditions and a two-bladed model wind turbine utilizing a new control strategy called subspace predictive repetitive control (SPRC). The validation of the performance of SPRC was made under turbulent inflow conditions generated by an active grid. The 3m × 3m active grid is used in this experiment using a unique method to generate reproducible atmosphericlike turbulent wind fields to act on a medium sized model wind turbine. This contribution is focussing on the detailed description of the experiment and its components and the analysis of the turbulent inflow by means of one and two point statistics. Exemplarily the impact of the new control strategy to the generated turbulent test cases are discussed.
IntroductionBecause of the increasing energy consumption and the expansion of renewable energy the demands on wind energy converters are constantly increasing. Especially the development of new offshore wind turbines with higher energy production are of very high importance. As part of the Innwind.eu project, which had the overall objectives of the high performance innovative design of a beyond-state-of-the-art 10-20 MW offshore wind turbine and hardware demonstrators of some of the critical components, new mechanisms for active and passive rotor load control were developed. As the wind fields of the atmospheric boundary layer (ABL) acting on the rotor and the turbine are turbulent as shown in [1], the validation of these new concepts have to take place under controlled turbulent conditions. We present a wind tunnel experiment, which combines a model wind turbine equipped with these new control designs and a turbulent inflow generated by an so called active grid. The active grid is an instrument allowing us to generate turbulence with a wide range of different behaviour, additionally such turbulent flows can be repeated quite accurately. So it is possible to validate these new concepts using different turbulent inflow conditions.
A commonly applied method to reduce the cost of wind energy, is alleviating the periodic loads on turbine blades using Individual Pitch Control (IPC). In this paper, a data-driven IPC methodology called Subspace Predictive Repetitive Control (SPRC) is employed. The effectiveness of SPRC will be demonstrated on a scaled 2-bladed wind turbine. An open-jet wind tunnel with an innovative active grid is employed to generate reproducible turbulent wind conditions. A significant load reduction with limited actuator duty is achieved even under these high turbulent conditions. Furthermore, it will be demonstrated that SPRC is able to adapt to changing operating conditions.
Abstract. Fluid-structure interactions are crucial for the design of rotor blades of wind power systems. Up to now, the mutual interactions between rotor blades and turbulent wind flows have been treated by complex simulations or were observed at individual discrete points. In this paper, a measurement concept is presented where spatial information of the motion/deformation of a rotating wind turbine as well as the wind flow are recorded in wind tunnel experiments. Wind flow and motion behaviour are recorded simultaneously and contactless. Techniques from the field of photogrammetry and flow measurement techniques are combined, resulting in high demands on the measurement concept. Furthermore, solutions for the realisation of a common coordinate system as well as for the synchronisation of both measuring systems are presented. In addition, the validation of the entire measurement concept is carried out based on of some wind tunnel tests in which a single rotor blade is used for the moment. This showed that the measurement concept and the proposed solutions for the simultaneous recording of wind flows and rotor blade movements are suitable in principle and that movements can be recorded and reconstructed with high accuracy.
Experimental studies of fluid-structure interaction on a single blade of the model wind turbine MoWiTO 1.8, which has been designed as an aerodynamically downscaled wind tunnel model of the NREL 5 MW turbine, were performed. Tailored inflow generated by means of a 2D active grid is used to induce dynamic stall through periodic angle of inflow changes. The interactions at the model wind turbine blade are investigated using two high-speed and non intrusive optical measurement techniques. The aerodynamics around the turbine blade is measured using temporal highly resolved particle image velocimetry (PIV) measurements at the suction side of the blade. Synchronized measurements with a high-speed photogrammetric system are linking the aerodynamic events to high accuracy measurements of the blade deflections.
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