Posters | WindEurope Annual Event 2026

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Posters

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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.

PO114: Verification and validation of the turbine interaction losses simulated by an open-source Large Eddy Simulation code at an Offshore Wind Farm

Roberto Chávez Arroyo, Meteocean & Energy Assessment Lead Engineer, Ocean Winds

Abstract

High-fidelity models are uniquely capable of capturing complex wind turbine interaction phenomena, thanks to their ability to explicitly resolve a wide range of atmospheric and turbine scales of motion. This, in principle, makes them not only more accurate but also better suited to simulate physical processes relevant to wind farm operation and turbine design applications. Although historically limited to academic and research use due to their high computational costs, recent advances in GPU-powered computing have made these tools increasingly viable for wind energy industry to perform analysis of real-world multi-gigawatt offshore wind farms. This study validates the open-source Large Eddy Simulation (LES) code SOD2D for simulating wake and blockage effects, using SCADA data from two wind farm clusters in the North Sea and off the coast of Scotland. Comparisons with lower-fidelity models highlight LES’s drastic differences in effective turbulence prediction and relatively fair similarity in term of mean power deficits, highlighting the error compensation of engineering models in particular. Finally, this study emphasizes the need for industry consensus in the treament of SCADA data for model validation analysis.

No recording available for this poster.


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