Building on more than 35 years of experience, NRG designs complete systems and instruments that work together seamlessly and suit a variety of climates, terrains, and applications. Our decision support tools provide the data critical for successfully planning your wind or solar energy project from start to finish.
Wind Resource Assessment
Building on more than 30 years of experience, NRG designs complete systems and instruments that work together seamlessly and suit a variety of climates, terrains, and applications.
Wind Plant Optimization
Our turbine control sensors and Lidar technology provide the data you need to maximize the profitability of your project.
Well-suited for solar monitoring applications, NRG's sensors, data loggers, and met systems provide the data you need to maximize the performance of your project.
Solar Resource Assessment
Our solar resource assessment product portfolio offers a complete toolkit for the utility-scale photovoltaic project developer.
NRG Systems' Lidar solutions are ideal for a range of professional weather enterprise applications, including air quality management, weather intelligence and extreme weather detection, aviation, aerospace, and research.
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A Comparison of Remote Sensing Device Performance at Rotsea
In June 2010, RES had the opportunity to locate both a Lidar and Sodar remote sensing device at its Rotsea site. This opportunity provided a four week window where data were simultaneously available from each of the M345 - fixed mast, the M808 - Triton (SoDAR device by SecondWind) and the M809 - WINDCUBE (Lidar device by LEOSPHERE).
Assessment of the Repeatability and Stability of Windcube Performances
A recent study of 595 Windcube Lidar validation “couplings” compared Lidar precision and accuracy from the time of manufacture to times when the Lidar was returned to Leosphere years later for maintenance. The findings are outlined in this paper.
Atmospheric Features as Captured by Scanning Doppler Lidar and Predicted by NWP Modelling Systems in Complex Terrain
The paper presents case studies of atmospheric features, captured by scanning Doppler lidar measurements during the Wind Forecast improvement Project-2 (WFIP-2) in the complex terrain of the Columbia River Valley.