Implement single wake model from Braunbehrens and Segalini
Robert Braunbehrens, Antonio Segalini, A statistical model for wake meandering behind wind turbines, Journal of Wind Engineering and Industrial Aerodynamics, Volume 193, 2019 doi:10.1016/j.jweia.2019.103954
A new wake model is proposed to account for wake meandering in simulations of wind-turbine wakes performed on steady solvers, through a wake-meandering description based on the dispersion theory of Taylor (1921, P. Lond. Math Soc., vol. 20, pp. 196–211). Single-turbine simulations were performed by means of the linearised solver ORFEUS. By analysing the steady wake behind a turbine, a set of parameters describing the wake was first obtained and synthesised into a look-up table. The proposed meandering model extended the simulation results by superimposing the lateral and vertical meandering motions to the steady wake. As a result, the time-averaged velocity distribution of the wake was increased in width and reduced in intensity. Through this combination, the model provides rationale for the wake-deficit decrease and for the power underestimation effects of several wake models. The new wake model is validated against the Lillgrund and Horns Rev data sets.
- Code the single wake model from equation (11)
- Make LUT from figure 3.
- Add the same benchmark of the paper in the automatic benchmark report
Additional work for a MSc thesis:
- From LES simulations results of Søren Juhl do a surrogate model for the model
- Make a reproduction jupyter notebook of the paper