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