Large-eddy simulation of airborne wind energy farms

Haas, Thomas; De Schutter, Jochem; Diehl, Moritz; Meyers, Johan

doi:https://doi.org/10.5194/wes-7-1093-2022

Articles | Volume 7, issue 3

https://doi.org/10.5194/wes-7-1093-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-1093-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 3

Research article

|

24 May 2022

Research article |

| 24 May 2022

Large-eddy simulation of airborne wind energy farms

Thomas Haas, Jochem De Schutter, Moritz Diehl, and Johan Meyers

Data sets

Large-eddy simulation of airborne wind energy farms: AWES virtual flight data T. Haas and J. Meyers https://doi.org/10.5281/zenodo.5705563

AWESCO Wind Field Datasets T. Haas and J. Meyers https://doi.org/10.5281/zenodo.1418676

Model code and software

awebox: Modelling and optimal control of single- and multiple-kite systems for airborne wind energy awebox https://github.com/awebox

Short summary

In this work, we study parks of large-scale airborne wind energy systems using a virtual flight simulator. The virtual flight simulator combines numerical techniques from flow simulation and kite control. Using advanced control algorithms, the systems can operate efficiently in the park despite turbulent flow conditions. For the three configurations considered in the study, we observe significant wake effects, reducing the power yield of the parks.