ENERCON is installing the ice detection system Rotor Ice Control from fos4X in its wind turbines. It will be available as a standardised series-product starting 2019. With this development, Rotor Ice Control will be used by all three major German turbine manufacturers for new turbines or in retrofits.
fos4X and ENERCON have been closely working together since 2013. Areas of cooperation include equipment for prototype validation and successful joint development projects. Beginning in 2019, it will be possible to retrofit the fos4X ice detection system directly through the turbine manufacturer. In a few months, the system will also be available in new ENERCON turbines.
Rotor Ice Control based on fos4Blade
The ice detection system Rotor Ice Control reliably detects ice build-up directly on the rotor blade and autonomously stops and starts the system after defrosting. The system can also control the blade heating. Rotor Ice Control is based on the modular, fiber optic sensor platform fos4Blade, which can also be used for load measurement or structure monitoring.
Renuharan Neethirajah, Key Account Manager at fos4X:
“With Rotor Ice Control, we offer a certified rotor blade ice detection system based on our reliable fiber optic measurement technology. This was explicitly optimized for use in the cost-competitive “wind energy” environment.
Thanks to the modular design of the fos4Blade sensor platform, Rotor Ice Control can be retrofitted to existing wind turbines in less than one working day.”
Find the press release as PDF here.
fos4Blade sensor platform for the optimization of wind turbines
The fos4Blade sensor platform is a modular platform consisting of a set of strain and/or acceleration sensors and a central measuring device. Thanks to its standardized design, the hardware can also be retrofitted quickly and easily. Once installed, depending on the fos4Blade configuration, various other applications for optimizing the wind turbine can be enabled in addition to ice detection.
The structural integrity of the rotor blades can also be monitored on the basis of the vibration data. At the end of the turbines service life, the collected load-data can provide valuable information for the decision on a possible continued operation of the turbine. Further optimization possibilities lie in the area of sector management or in the reduction of wake effects.