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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.
PO113: The importance of Turbulence Intensity in Annual Energy Production Calculations
Sam Cressall, PhD Student - Engineer, Partrac
Abstract
Floating LiDAR systems (FLS) are now widely used for offshore wind resource assessment, yet their turbulence intensity (TI) measurements can be biased and more dispersed due to platform motion and sampling effects. Because TI shapes both turbine power response and wake recovery, uncertainty in TI propagates directly to Annual Energy Production (AEP) and risk metrics such as P50/P90. This work quantifies that propagation using TI error distributions representative of fixed lidar, and of FLS in raw (uncorrected) and corrected configurations. And includes a wind speed distribution based on the FLS measurement standards Carbon trust and IEC 61400:50-4. We use a Monte Carlo framework that samples TI and WS and then evaluates AEP using TI-dependent power response and wake effects. Finally, we conduct a sensitivity study to review the relation ship between farm lay out, site resource and measurement error. Across scenarios, uncorrected FLS generally yield higher and wider TI, which can overstate AEP due to enhanced wake recovery. Deterministic correction reduces TI bias and narrows AEP spreads, approaching fixed-lidar envelopes, though residual positive bias can persist around ~10D spacing if TI remains high. We conclude that uncorrected lidar TI measurements are unsuitable for AEP modelling, but corrected AEP models are within 1% of the fixed lidar simulations in AEP uncertainty. The work shed light on the level of confidence we should apply to floating lidar campaigns when the TI is to be used for AEP estimations.
No recording available for this poster.
