Product Description:

The Molas CL tower clearance lidar is a specialized type of lidar designed to monitor the clearance distance of blade tips in real time. This technology continuously measures how close the blades are to the tower, ensuring safe operation during the turbine's functioning.

When the detected blade clearance approaches the predefined minimum threshold, the main controller of the wind turbine unit can promptly initiate various protective actions. These measures may include slowing down the rotor speed or retracting the blades to prevent any potential damage.

Implementing tower clearance lidar on existing turbines helps prevent collisions with the tower, commonly known as tower sweeping. This technology allows operators to increase the power limits on units that were previously considered risky, thereby enhancing the overall power generation capacity.

For future turbine designs, using tower clearance lidar enables a reduction in blade manufacturing costs and decreases the design stresses imposed on the units. This advancement contributes to both economic efficiency and improved turbine durability.

Features:

• Product Name: Wind Measurement Lidar
• Survival Temperature Range: -45°C to +65°C
• Operating Temperature Range: -40°C to +60°C
• Detection Distance: 300m at 10% Reflectivity
• Distance Resolution: ≤0.1m
• Beam 2 Angle: 2.05° ± 0.2°
• Suitable for Wind Power applications
• Designed as an Onshore Wind Lidar solution
• Utilizes Doppler Wind Lidar technology for accurate measurements

Technical Parameters:

Applications:

The Molas CL tower clearance lidar is designed to support three essential application scenarios that ensure the safe operation of wind turbines. The first scenario is single point precise feedback . In this mode, the lidar system continuously focuses on a specific spatial location at the blade tip, providing highly accurate, real-time clearance distance data to the main controller. This continuous stream of reliable measurements forms the critical foundation for all subsequent operational decisions regarding turbine safety.

The second scenario is threshold detection . Here, the system is programmed with a predefined minimum safe clearance threshold. If the monitored clearance distance approaches or drops below this limit, an immediate alarm is triggered. In response, the main controller takes protective actions such as reducing rotor speed, adjusting blade pitch, or initiating an emergency shutdown. These rapid measures are essential to effectively prevent any potential tower strikes and safeguard the turbine structure.

The third scenario is trend detection , which involves analyzing not just the current clearance value but also how this distance changes over time. By assessing the rate and direction of these changes, the lidar can predict potential risks within the upcoming seconds. This predictive ability enables the main controller to implement early, gentle mitigation strategies that minimize sudden mechanical loads and avoid harsh operational impacts.

Together, these three scenarios operate in harmony. Precise feedback supplies accurate, real-time data; threshold detection acts as an immediate safety barrier; and trend detection provides valuable foresight. This integrated safety framework enables a complete safety loop encompassing “seeing,” “judging,” and “anticipating.” For existing turbines, this means derating limits can be safely lifted to increase annual energy production. For future turbine designs, it aids in reducing blade length and tower stiffness requirements, thereby lowering blade costs and easing overall design constraints.