Posters

Abstract

The ZX 300e has achieved 0% classification uncertainty from 21 to 200m in full compliance with the IEC 61400-50-2 standards. This demonstrates robust performance and shows no significant sensitivity to environmental conditions which should give confidence that the lidar will operate across the globe. This achievement means verification uncertainties can be applied globally for measurements between 21m and 200m without additional penalties for environmental differences. This streamlines the logistics of collecting pre-campaign verifications and giving you a head start in measurement uncertainty. To provide further confidence in the performance of the ZX 300e, the device has undergone extensive tall mast verifications. Here, we share results from two 200m masts in Germany, a highly complex site in the UK with a 120m mast and results from the UK’s Remote Sensing Test Site with a 91m mast. At the 200m masts, several devices showed mast-lidar correlation parameters for 10-minute averaged wind speeds that met the wind-industry best practice criteria with data availability above 85% at all heights up to 200m.  At the highly complex site, CFD correction factors were successfully applied to the lidar wind speeds. This yielded mast-lidar correlation parameters that met the wind-industry best practice criteria demonstrating performance even in complex terrain. Furthermore, 25 ZX300e units were verified at the 91m mast in the UK over a period of three weeks. The mast-lidar correlation parameters for all the devices met the wind industry’s best practice criteria, each delivering more than 98% data availability. The uniform results across units demonstrate the instrument’s high measurement precision.  Lidar measurement uncertainty comprises classification, verification, and deployment components. By eliminating classification uncertainty entirely, and following our best-practice deployment guide, you minimize uncertainty. Combined with our extensive verification credentials, this ensures the lowest possible measurement uncertainty for your campaigns.