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 industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO195: Automated yaw misalignment detection based on satellite imagery and numerical weather models
Samuel Davoust, Tech lead and Founder, Tipspeed
Abstract
Yaw misalignment, defined as the average difference between the orientation of a wind turbine rotor and the wind direction, can be a potential cause for under-performance, and a lever for optimization. In the present work, we describe and validate a novel approach to automatically determine yaw misalignment over time on all turbines of an operating wind farm, remotely. First, we propose a brief review of the current techniques to derive yaw misalignment, ranging from the use of third-party sensors (eg: masts, lidar), data driven methods based on 10min or high frequency Scada, or turbine control optimal yaw tracking methods based on operational experiments, and their pros/cons. Then, we present and illustrate on a public site an innovative process to automatically derive and monitor yaw misalignment of every turbine based on a digital twin combining 10min operational data, numerical weather predictions and high-resolution satellite imagery, which is used to calibrate nacelle positions (North offset). In the last part, we present validation results for this method on 10 turbines across 3 sites. The validation is based on the comparison of the estimated yaw misalignment against the reference yaw misalignment time series measured by independent sensors (nacelle lidar and iSpin). The average misalignment is compared during different time periods, to establish the typical uncertainty of the new method.
No recording available for this poster.
