Speaker
Description
As offshore wind-farms grow in size, atmospheric gravity waves and blockage can affect their operation and performance [1]. Since conventional wake models cannot capture these effects on their own, they need to be coupled to other models that simulate the mesoscale interaction between wind farms and the atmosphere. However, this raises the computational cost of the wake model by several orders of magnitude.
To address this, we present a new method of speeding up the coupling with an atmospheric perturbation model [2]. The resulting combined model can calculate farm power output in just a few seconds per case, and has been validated using prior LES results [1]. Furthermore, we will show how the combined model can be used for estimating annual losses due to flow blockage, and compare its predictions against operational data from the Belgian-Dutch offshore wind cluster.
[1] Lanzilao & Meyers 2024, J. Fluid Mech., vol 979
[2] Devesse et al. 2024, J. of Physics: Conf. Series, vol 2767
