| Brand Name: | Movelaser |
| Model Number: | Molas CL |
| MOQ: | 1 Set |
The Molas CL tower clearance lidar is a specialized type of lidar designed to continuously monitor the clearance distance of a blade tip in real time. This technology enables precise measurement of the gap between the blade tip and the tower structure, ensuring operational safety and efficiency.
When the detected blade clearance approaches the pre-set minimum threshold, the main controller of the fan unit can promptly implement protective actions. These measures may include reducing the rotational speed or retracting components to prevent any potential damage.
Integrating tower clearance lidar into existing wind turbine units helps to prevent tower strikes, which can be critical for maintaining structural integrity. This technology allows for increasing the power output limits of units that might otherwise be considered too risky, thereby enhancing overall energy production.
Furthermore, the use of tower clearance lidar in future turbine designs can lead to a reduction in blade manufacturing costs and alleviate the structural design pressures placed on the units. This advancement promotes more efficient and cost-effective wind energy solutions.
| Range Of Working Temperature | -40°C~+60°C |
| Working Acceleration Range | -0.5g ~ 0.5g |
| Beam 3 | 4.09° ± 0.2° |
| Distance Resolution | ≤0.1m |
| Repeat Frequency | 20KHz Per Channel |
| Enclosure Rating | IP65 (or According To Specific Needs) |
| Operating Humidity Range | 0%~100% RH |
| Wavelength | 905nm |
| Detection Distance (Maximum Acquisition Distance) | 300m@10% Reflectivity |
| Ambient Light Resistance | 100Klux |
The Molas CL tower clearance lidar plays a crucial role in enhancing the safety and performance of wind turbines by addressing three primary application scenarios. The first scenario is single point precise feedback . In this mode, the lidar continuously targets a fixed spatial position at the blade tip, providing highly accurate, real-time clearance distance measurements directly to the main controller. This precise feedback ensures that every measurement is dependable, forming the essential basis for all further operational decisions.
The second scenario involves threshold detection . The system is pre-set with a minimum safe clearance value, acting as a critical boundary for turbine operation. Whenever the measured clearance approaches or drops below this predefined threshold, an alarm is instantly activated. The main controller then initiates protective responses such as slowing down the rotor, adjusting the blade pitch, or executing an emergency shutdown. These actions effectively prevent potential collisions between the blade and the tower, safeguarding both the equipment and personnel.
Lastly, the lidar supports trend detection . Rather than merely reacting to the current clearance distance, it continuously monitors how the distance changes over time—analyzing both the rate and direction of these changes. This forward-looking insight enables the system to anticipate potential risks seconds in advance. Armed with this predictive data, the main controller can implement gentle, proactive mitigation strategies that avoid sudden, severe load shifts on the turbine.
Together, these three application scenarios operate in perfect harmony. Precise feedback delivers accurate measurement data, threshold detection provides immediate safeguards, and trend detection offers early warning intelligence. This integrated safety approach creates a comprehensive control loop that encompasses “seeing” , “judging” , and “anticipating” . On currently operational turbines, this technology allows for the safe removal of derating limits and helps increase annual energy yield. For future turbine designs, it supports reductions in blade length and tower stiffness requirements, ultimately decreasing blade costs and lowering overall design pressures.