Survival Temperature Range Minus 45°C to Plus 65°C Wind Measurement Lidar Offering IP65 Enclosure Rating and 100Klux Ambient Light Resistance Designed for Wind Monitoring

Product Description:

The Molas CL tower clearance lidar is a specialized type of lidar designed to monitor the clearance distance of the blade tip in real-time. This advanced technology ensures continuous tracking to maintain optimal operational safety and efficiency.

When the measured blade clearance approaches the predetermined minimum threshold, the fan unit's main controller is capable of executing immediate protective actions. These measures may include slowing down the rotation speed or retracting the blades to prevent any potential damage.

Integrating tower clearance lidar into existing units offers significant benefits, such as preventing the blades from coming into contact with the tower. This capability allows for an increased power output limit in units that were previously considered risky, thereby enhancing overall power generation.

For future units, the use of tower clearance lidar can contribute to lowering blade manufacturing costs and reducing the mechanical design constraints. This advancement supports the development of more cost-effective and efficient wind turbine systems.

Features:

• Product Name: Wind Measurement Lidar
• Repeated Measurement Accuracy: ±0.2m
• Beam 2 Angle: 2.05° ± 0.2°
• Working Acceleration Range: -0.5g ~ 0.5g
• Measurement Accuracy: ±0.2m
• Wavelength: 905nm
• Advanced Wind Lidar Molas 3D technology for precise data collection
• Ideal for onshore wind measurements, enhancing site assessment and monitoring
• Compatible with sodar lidar systems for comprehensive wind profiling

Technical Parameters:

Applications:

The Molas CL tower clearance lidar is designed to address three fundamental application scenarios that are crucial for ensuring the safe operation of wind turbines. The first scenario is single point precise feedback . In this mode, the lidar system continuously focuses on a fixed spatial position, specifically at the blade tip, to provide highly accurate, instantaneous measurements of the clearance distance. This precise data is sent directly to the main controller, guaranteeing the reliability of every measurement and serving as the essential basis for all further operational decisions.

The second application scenario involves threshold detection . The system is pre-set with a minimum safe clearance distance, acting as a critical safety boundary. Whenever the measured clearance value approaches or falls below this set threshold, the system immediately triggers an alarm. In response, the main controller initiates protective actions such as slowing down the rotor, adjusting the blade pitch, or even performing an emergency shutdown. These measures are vital for effectively preventing hazardous tower strikes and protecting turbine components.

The third key scenario is trend detection , which adds a predictive dimension to the safety protocol. Rather than solely relying on instantaneous measurements, the lidar system analyzes the trend by evaluating how the clearance distance changes over time—the rate and direction of these changes. This forward-looking analysis enables the main controller to anticipate potential risks several seconds ahead, allowing for gentle and proactive mitigation strategies instead of abrupt reactions. Such intelligent forecasting helps to minimize mechanical stress and maintain turbine stability.

Together, these three application scenarios operate in harmony to create a comprehensive safety management loop. Precise feedback delivers accurate and trustworthy data; threshold detection provides immediate defense by activating safeguards when limits are breached; and trend detection offers early warning intelligence by predicting upcoming risks. This integrated approach not only enhances safety standards but also enables the relaxation of derating limits on existing turbines, thereby increasing annual energy output. Furthermore, for future turbine designs, it supports the reduction of blade length and tower stiffness requirements, leading to lower blade production costs and less structural stress throughout the turbine’s lifespan.