As the space available for onshore wind turbines is limited, more and more densely populated or hardly accessible areas have to be developed. So-called "cold climate" locations also play an increasingly important role. A sustainable reduction of operating costs with simultaneous increase in yields is essential - especially with regard to the extreme cost pressure resulting from the tendering system laid down in the German Renewable Energy Sources Act (EEG). Therefore, it is more important than ever to detect structural damage and icing at an early stage in order to avoid severe damage. Structural health monitoring (SHM) of the rotor blade, tower and foundation and conventional condition monitoring (CMS) on the drive train are becoming increasingly important in this context.
"The advancing state of the art offers new opportunities to sustainably increase yields" says Dr Carsten Ebert, Head of Wind Energy at Wölfel. "Our intelligent algorithms are based on the latest technological approaches and form the basis for data analysis and direct real-time optimization."
Sensor technology is the basis. However, without the appropriate interpretation it provides little added value. In the field of signal analysis we have built up and extended a unique core competence over decades. We extract the really relevant technical information from the masses of data and make it usable for you.
Based on a detailed system condition analysis, differentiated according to system condition, damage and/or icing, we can identify your optimization potentials. The knowledge gained from individual wind turbines or wind farms can also be used for further optimization within the wind farm and beyond.