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 the academic community. We look forward to seeing you there!
PO211: How accurate can commercially applicable offshore turbine interaction modelling be by accounting for a wide range of physical drivers including blockage, long distance wakes and ground effects?
Valentine Kim, Analyst, K2 Management
Abstract
It is commonly acknowledged that accurate calculation of turbine interaction effects involves comprehensive consideration of upwind (commonly referred to as blockage) and downwind effects; wind flow conditions in the form of wind speed, wind direction, turbulence and atmospheric stability; as well as consideration of the turbine itself. Other factors such as long-distance wakes and ground-effects also have an influence. By leveraging the world's largest operational offshore wind farm dataset, representing 14GW of installed capacity, K2 Management present results revealing how these physical drivers impact on the accuracy of turbine interaction models. Results from a wide variety of commercially applicable models are presented to demonstrate this. The results from these models are considered as a whole, to determine the highest degree of accuracy that considering this comprehensive range of physical drivers can provide. The combination of several wake models to produce an ensemble is shown to be a powerful approach to maximising accuracy as this enables the impact of all of the discussed physical drivers to be considered. Accuracy based on greater consideration of physical drivers also reduces the need for post-modelling adjustments and provides greater confidence when applying these models to projects in the future. Turbine interaction effects constitute the single largest efficiency/loss within the calculation of the yield of large-scale offshore wind farms, therefore increased understanding of this phenomena helps significantly reduce the overall uncertainty of estimating the energy produced.
