Sessions
Resource assessment Part 4
When: Thursday, 21 March 2024, 17:30 - 18:30
Where: Luxua 1
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Session description
The Resource Assessment 4 session combines three different views and approaches to estimating energy production and losses, showing how powerful and versatile the resource assessment toolbox is. The audience will first learn to assess the variability of wind speed and annual energy production using a polynomial surrogate based on the Polynomial Chaos Expansion (PCE) to quantify uncertainty, requiring only a few CFD simulations. Examples of complex terrain are given with selected examples of forested areas. This low-cost computational approach is followed by the opposite. A massive multi-GPU large eddy simulation of the North Sea Offshore Wind Energy Scenario 2050 will show how the wake effects of large wind farm clusters affect vertical mixing, wind climate as well as clouds, rain and temperatures. The final part will show how SCADA data and machine learning can be used to estimate wake-free turbine production to assess wake losses in operating wind farms.
Session chair
Karen Anne Hutton
Technical Director, RES
Stephan Barth
Managing Director, ForWind - University of Oldenburg
Presentations
Enhancing standard CFD based practices for site assessment through polynomial surrogates for estimating uncertainty in wind speed and annual energy production.
Zahra Lakdawala
Research Scientist, Fraunhofer Institute for Wind Energy Systems IWES
