A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies

Marcus Becker, Maxime Lejeune, Philippe Chatelain, Dries Allaerts, Rafael Mudafort, and Jan-Willem van Wingerden

Data sets

Data belonging to the publication: A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies M. Becker and M. Lejeune https://doi.org/10.4121/29C209FA-F2A4-456D-9353-67CF81BE1AAA

Model code and software

OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies M. Becker and M. Lejeune https://doi.org/10.4121/331f86fe-5acb-4a60-99cd-7f8f0135c200

Short summary

Established turbine wake models are steady-state. This paper presents an open-source dynamic wake modeling framework that complements established steady-state wake models with dynamics. It is advantageous over steady-state wake models to describe wind farm power and energy over shorter periods. The model enables researchers to investigate the effectiveness of wind farm flow control strategies. This leads to a better utilization of wind farms and allows them to be used to their fullest extent.