Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO189: White box calibration of ground based lidars
Jochen Cleve, Wind Energy Analyst, Ørsted
Abstract
Lidars are becoming the default wind measurement device in the wind industry with applications covering various topics from wind climate assessment to condition monitoring for safety purposes. It is therefore important that lidar measurement uncertainties are assessed quickly and accurately. This presentation proposes a 'white box' calibration procedure for ground-based profiling lidars (GBL) based on line-of-sight (LOS) speed calibrations using fiber optics and Monte Carlo error propagation of the LOS speed uncertainties to uncertainties of horizontal wind speed and direction. The term 'white box' encompasses a calibration procedure where the lidar LOS measurements are calibrated directly and the resulting uncertainties are propagated through an appropriate wind and measurement model. In a traditional 'black box' calibration procedure, the horizontal wind speed and direction are calculated first, and this output is then compared to a reference, typically a met mast instrumented with cup anemometers. This white box calibration procedure cuts down the calibration time of GBLs from months to days and provides an uncertainty quantification which is not only more accurate than traditional mast-based calibrations but also flexible enough to characterize the device uncertainty in any atmospheric conditions occurring during the measurement campaign.
