ForWind, the centre for wind energy research at the Universities of Oldenburg, Hanover and Bremen, will be presenting its latest research results at HUSUM Wind Energy 2010 from 21 to 25 September 2010. Three exhibits will be presented at Stand 1C05, Hall 1.

The Wind Energy Systems working group at the University of Oldenburg will be presenting a model of a wind scanner using the remote sensing method LIDAR (Light Detection and Ranging). Until now, wind has usually been measured using sensors that are mounted on a measuring mast and are immobile. With LIDAR, turbulent wind fields in very flexible geometries can be detected from a distance. The measurement data from the wind scanner, which is currently under development, is expected to provide valuable insights into the flow conditions at wind turbines and wind farms.

The Institute of Statics and Dynamics at Leibniz University Hannover will be presenting a new system for the early detection of damage to wind turbine rotor blades at the ForWind stand. It was developed together with Hottinger Baldwin Messtechnik GmbH. The procedure is a combination of innovative sensor technology and methodology. The reliable early detection of typical structural damage in composite materials and the use of a minimum number of sensors at defined locations in the rotor blade are made possible by lightning-resistant sensor technology and a robust theoretical approach.

The Institute of Metrology, Automation and Quality Science at the University of Bremen in co-operation with the Physikalisch-Technische Bundesanstalt (PTB) is presenting the second version of a new large gear standard. It is a gear segment with a diameter of one metre and a weight of 450 kg. The demand for large gears has risen continuously in recent years, as three quarters of wind turbines are equipped with a gearbox. These gears should require little maintenance and have low noise emissions. The large gearing standard, which will be presented at the ForWind stand, pays tribute to this development. It enables traceable measurements of the essential gear parameters and thus supports reliable and economical quality management.