Ultrasonic Sensors

Product catalog summary

Overview: NRG Systems provides precise and reliable ultrasonic wind sensors designed for wind turbine control and wind resource assessment. These sensors offer instantaneous and accurate measurements of wind speed and direction, are easy to install, and require minimal maintenance due to their lack of moving parts.

Specifications:

Sensor Types: Two models are available: the IceFree Ultrasonic Wind Sensor RT240 and the Ultrasonic Wind Sensor RT20.
Applications: Both models are suitable for onshore wind turbine control, with the RT240 also applicable for offshore turbines and in icy conditions.
Dimensions and Weight: Both sensors have a height of 170 mm and a diameter of 150 mm. The RT240 weighs 1.7 kg, while the RT20 weighs 0.8 kg.
Heater Power: RT240 uses 240W, and RT20 uses 20W.
Signal Types: Both models support RS-485 (NMEA, MODBUS, ASCII) or 4-20mA outputs.

Performance:

Wind Direction: Measuring range is 0º to 359.9º with a resolution of 0.1º. The RT240 has an accuracy of <2º RMSE, while the RT20 has <3º RMSE.
Wind Speed: Both models measure from 0 to 75 m/s with a resolution of 0.1 m/s. The RT240 has an accuracy of ±0.2 m/s or ±2% of reading RMS, and the RT20 has ±0.3 m/s or ±3% of reading RMS.
Virtual Temperature: Measuring range is -50º to 70ºC with a resolution of 0.1ºC and an accuracy of ±2ºC.

Environmental and Power Requirements:

Operating Temperature: Both models operate between -40º to 60ºC.
Protection: Both models have an IP65 protection rating.
Power Requirements: Without heating, both require 24VDC±10%; 50mA. With heating, RT240 requires up to 10A, and RT20 requires up to 880mA.

Ordering Information: To place an order, contact NRG Sales at 802-482-2255 or visit their website at nrgsystems.com.

All NRG Systems catalogs and technical brochures

*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.

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