@inproceedings{9b26574f5498430599683677f6186aec,
title = "Further improvements to the double-Gaussian wake model",
abstract = "In onshore wind farms, the turbine-to-turbine distance can be in the order of three diameters or less. In these circumstances, traditional wake models, developed for the far wake region, lose accuracy. The double-Gaussian wake model is an approach to extend algebraic wake modelling to the near wake region, where the wake is not yet self-similar. In this work, the double-Gaussian wake model is advanced by performing large eddy simulations of a reference wind turbine and a scaled wind turbine model to investigate how the thrust coefficient and the turbulence intensity influence the near wake and wake recovery. Results show that in the near wake the maximum velocity deficits move towards the outer part of the rotor with an increasing thrust coefficient. Thus, a thrust coefficient dependent position of the double-Gaussian peaks is proposed. In addition, a wake expansion function including turbulence intensity and thrust coefficient is tuned. The new model proves to be capable of predicting the wake of different turbine models under various ambient conditions and operational states.",
author = "Zengler, {C. P.} and R. Braunbehrens and S. Tamaro",
year = "2024",
doi = "10.1088/1742-6596/2767/9/092066",
language = "English",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing",
number = "9",
booktitle = "The Science of Making Torque from Wind (TORQUE 2024): Wind resource, wakes, and wind farms",
address = "United Kingdom",
note = "The Science of Making Torque from Wind (TORQUE 2024), TORQUE 2024 ; Conference date: 29-05-2024 Through 31-05-2024",
}