Operating Humidity Range 0 to 100 Percent RH Wind Measurement Lidar Providing Wind Speed and Direction Data under Extreme Weather Conditions

Product Description:

The Molas CL tower clearance lidar is a specialized type of lidar technology designed to monitor the clearance distance of blade tips in real-time. This advanced system continuously measures the space between the blade tips and the tower, ensuring precise and up-to-date data.

When the detected blade clearance approaches the predefined minimum threshold, the main controller of the fan unit can promptly initiate 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 wind turbine units offers significant advantages. It effectively prevents tower strikes, enabling operators to safely increase the power limits of units that were previously deemed risky. This leads to enhanced power generation without compromising safety.

Moreover, integrating tower clearance lidar into future turbine designs can contribute to reducing blade manufacturing costs as well as alleviating the structural design pressures on the units. This technology paves the way for more efficient and cost-effective wind energy solutions.

Features:

• Product Name: Wind Measurement Lidar
• Enclosure Rating: IP65 (or According To Specific Needs)
• Operating Temperature Range: -40°C to +60°C
• Beam 2 Angle: 2.05° ± 0.2°
• Repeat Frequency: 20KHz Per Channel
• Ambient Light Resistance: 100Klux
• Ideal for onshore wind lidar applications
• Available for flexible lidar rental options
• Compliant with Civil aviation standards

Technical Parameters:

This Wind Measurement Lidar product is designed for precise lidar measurement applications, making it highly suitable for sectors such as civil aviation and wind power, where accurate and reliable wind data is essential.

Applications:

The Molas CL tower clearance lidar is designed to address three essential application scenarios aimed at ensuring the safe operation of wind turbines. The first scenario involves single point precise feedback , where the lidar system continuously targets a fixed position at the blade tip. By doing so, it provides highly accurate, real-time clearance distance measurements directly to the main controller. This constant and reliable data stream forms the critical foundation upon which all subsequent control decisions are made.

The second key scenario is threshold detection . In this mode, the system is configured with a defined minimum safe clearance threshold that acts as a boundary for safe operation. Whenever the clearance distance approaches or breaches this predetermined limit, an immediate alarm is activated. In response, the controller initiates protective measures such as slowing the rotor, adjusting blade pitch, or executing an emergency shutdown. These interventions effectively prevent potentially damaging tower strikes.

The third scenario is trend detection . Rather than focusing solely on the current clearance value, the lidar monitors how the distance is changing over time — analyzing its rate and direction. This predictive insight enables the system to anticipate possible risks a few seconds in advance, granting the main controller the opportunity to implement proactive and smooth mitigation strategies. Such anticipatory adjustments help avoid sudden load fluctuations and harsh maneuvers.

Together, these three scenarios operate in harmony: precise feedback delivers accurate raw data, threshold detection provides immediate protective action, and trend detection supplies early warning intelligence. This integrated safety mechanism creates a comprehensive loop that encompasses “seeing,” “judging,” and “anticipating.” For existing turbines, this technology allows for safely lifting derating limits and enhancing annual energy production. Looking forward, it supports future turbine designs by enabling reduced blade length and tower stiffness requirements, ultimately lowering both blade manufacturing costs and the overall design stresses.