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.
PO109: The BeNeWakes project: combining fixed, floating, and scanning LiDARs to produce high-quality measurements of wind farm wakes from near field to inter-farm effects
Erik Holtslag, Senior consultant, REdouble
Abstract
As offshore wind energy development accelerates, understanding wake effects becomes critical for improving energy yield assessments and operational efficiency. On a larger scale, more knowledge is needed on inter-farm wakes and the effect of large wind farm cluster on the conditions downwind, especially to inform policy making by governments with respect to their national targets on CO2 emission reduction. The BeNeWakes measurement campaign is a large-scale field study designed to quantify long-range wake behavior, with a focus on wake propagation beyond individual wind farms and into neighbouring clusters. Taking place from October 2025 to March 2026, adjacent to the Borssele Wind Farm Zone in the Dutch North Sea, the project aims to deliver a high-quality, open-access dataset to validate and improve wake models such as those used in the 2025-issued Wakes2030 Study. Participating are (inter-) national research institutes and consultancy firms under supervision of RVO (the Netherlands Enterprise Agency, government body). The BeNeWakes project will provide essential empirical evidence to increase understanding of clustered wake effects, reduce model uncertainties and improve the reliability of offshore wind energy forecasts. All data will be made publicly available to support sector-wide learning and model improvement.
No recording available for this poster.
