Solutions
Our passionate and experienced people deliver successful clean energy projects globally.
Technologies
Driving a clean energy future through state-of-the-art renewable technologies.
See all technologiesResources
Browse our latest resources, including company updates, customer stories, industry insights, and research reports.
See all resourcesCareers
Join a collaborative team of passionate individuals who engage in meaningful, stimulating, and world-changing work.
Learn moreAbout RES
We live our mission, celebrate the people making it happen and transform the way the world produces and consumes energy.
See about usOur offices
Like our business, we’re truly global – but proudly local. Find contact and location details for every RES office.
Contact us-
Home
/
Resources
/
Presentations & White Papers
/
Validating wake steering with open data: LiDAR measurements and uplift analysis from a commercial wind farm
Validating wake steering with open data: LiDAR measurements and uplift analysis from a commercial wind farm
by RES | Jun 15, 2026 | Reading time: < 1 min
Wake steering and adaptive pitch control are two of the most promising levers for improving AEP at operating wind farms, yet independently validated results from real commercial sites – published openly for the industry to scrutinise – remain the exception rather than the rule. These two papers present back-to-back evidence from Hill of Towie and Altahullion, sharing campaign results, open datasets, and fully reproducible analysis that together demonstrate over 1.7% cumulative AEP uplift through control optimisation alone.
At Hill of Towie, RES’ Dynamic Yaw product combined collective yaw control and wake steering across 21 Siemens 2.3MW turbines during a January-April 2026 campaign, delivering 0.7% AEP uplift alongside a net 2% reduction in long-term yaw activity – with LiDAR measurements directly confirming wake deflection. At Altahullion, a real-time adaptive pitch controller continuously evaluated and adjusted pitch setpoints, achieving initial measured results of over 2.0% uplift with 1.0% validated. Both campaigns were implemented safely using a single RES-developed controller per site with no turbine-level hardware modifications, and all data and analysis have been published openly on Zenodo and GitHub.
Presentation
Validating wake steering with open data: LiDAR measurements and uplift analysis from a commercial wind farm
Presentation
Validating wake steering with open data: LiDAR measurements and uplift analysis from a commercial wind farm
12 June 2026
Alex Clerc, Aleix Torner, Alan Derrick, Samuel Northover-Naylor, Christopher Warnock (RES)
Zack Glindon, Chris Slinger (ZX Lidars)
Download PDFMore downloads
Related materials from this presentation
