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.
PO417: Quantification and Re-evaluation of Wind Speed Modelling Uncertainties
Markus Sommerfeld, Expert Wind & Site Assessment, Pavana
Abstract
Wind measurements with met masts or remote sensing devices (RSDs) are essential tools in the planning stage of wind farms. Deploying measurement devices at every wind turbine generator (WTG) location is uneconomical and often impractical due to various reasons, such as the nature of the terrain and the uncertainty regarding the final locations of WTGs. Instead, wind conditions from one or more representative measurements are extrapolated to the WTG location and hub height. This results in horizontal and vertical extrapolation uncertainties due to spatial and terrain differences between the measurement and the WTG location. Quantifying these uncertainties is difficult due to their dependence on map quality and fidelity, knowledge of roughness, as well as the industry’s best practices. Developing an algorithm to predict uncertainties will yield more realistic results and, therefore, help make informed investment decisions. At Pavana GmbH, we investigate the variation in measured and simulated wind conditions as well as energy yield by cross-predicting between multiple wind measurements, in an effort to improve the horizontal and vertical extrapolation uncertainty estimates. Wind flow modelling for energy yield estimation typically uses either linear flow models or CFD (Computational Fluid Dynamics) models. While linear flow models provide good correlation with reality in flat and semi-complex terrains, they do not account for flow separation. Therefore, CFD models are preferred in complex terrain due to their higher fidelity and accuracy. Both modelling approaches have extrapolation uncertainties associated with their approach to extrapolating wind flow across terrain. We quantify wind speed modelling uncertainties and compare them between the two approaches.
No recording available for this poster.
