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.
PO111: Refining Turbulence Intensity Estimation: Extrapolation Methods and Instrumentation Effects
Elie Gournay, Wind Analysis Team Leader, Wood
Abstract
Turbulence Intensity (TI) plays a pivotal role in wind energy site assessment, influencing turbine performance, fatigue loading, and energy yield predictions. Traditional approaches often assume that the standard deviation of wind speed remains constant with height, leading to potential inaccuracies when extrapolating TI from measurement heights to proposed hub heights. This study investigates the implications of such assumptions by comparing them with an extrapolation method that accounts for vertical variations in wind speed standard deviation. Using data from multiple meteorological masts and remote sensing devices, TI profiles from measurement heights to candidate hub heights are analysed. The extrapolation method leverages site-specific wind shear coefficients and turbulence scaling laws to more accurately estimate TI at hub height. This approach is compared to a constant standard deviation method to quantify deviations in predicted TI and assess the impact on turbine selection and wake losses (when TI is used as an input to wake models). Additionally, a comparative review of TI measurements obtained from a selection of anemometer types, including cup, sonic, and lidar systems is presented. The findings underscore the importance of selecting appropriate extrapolation techniques and instrumentation for reliable TI estimation. By refining TI predictions, developers can better classify sites, optimise turbine layouts, and reduce uncertainty in energy yield assessment. This work advocates for a more nuanced approach to TI modelling, particularly as turbine hub heights continue to increase in many markets.
No recording available for this poster.
