The European Energy Research Alliance (EERA) Joint Programme Wind partners expressed the need for sharing facilities and equipment on a European level for optimal use of research resources and achieving access to cutting edge technologies. This all with the ambition to bring and maintain the EU wind industry at the top international level. In order to do so, the EERA JP Wind partners organized Joint Experiments in the framework of the FP7 Integrated Research Project Wind (IRPWind). One of these Joint Experiments is the ScanFlow project.
The ScanFlow measurement campaign was executed at the ECNpart of TNO wind turbine test site. Among others, the test site comprises a row of five of full scale ECN 2.5MW research turbines, accompanied with a 108m-high meteorological mast. The terrain is flat, agricultural land, assuring nice, homogeneous wind flows.
The inflow wind field of the turbine is primarily measured with a DTU SpinnerLidar and three DTU short range scanners. These systems are based on LiDAR (Light Detection and Ranging) technology that measure the wind remotely using laser light. The SpinnerLidar is mounted on the nacelle of the turbine, at 80m height. It scans the wind field about 60m in front of the turbine, taking a two-dimensional snapshot of the wind. The three short-range scanning LiDARs are placed on the ground that are programmed and synchronised such that they all measure at the same point in the wind field. By scanning or moving the laser beams, the researchers are able to capture the full three-dimensional aspects of the wind field. Furthermore, a ground-based profiling LiDAR captures the undisturbed wind conditions while a meteorological mast registers atmospheric conditions, providing essential background information for the model validation. In the meanwhile the research turbine is operated under normal conditions, taking essential data, such as produced power, rotational speed, etc. on the fly.
Detailed wind field measurements in front of a turbine are not commonly available. ECN and its partners make this unique, highly detailed and comprehensive dataset available to the research community via the ScanFlow website (www.irpwind-scanflow.eu). The dataset will be used by academia and industry to improve and validate their models so that improvements in wind turbine design will continue.