Mon September 23rd 2019
16:00 – 17:00
Seminar Wind farm dynamics and power optimization in realistic atmospheric boundary layer conditions
Michael Howland


The study of wind farms within realistic atmospheric boundary layer conditions is important to understand the governing physics of the system and to design optimal operational protocols. Due to greedy individual wind turbine operation, aerodynamic wakes reduce total wind farm power production, thereby increasing the cost of electricity for this resource. Considering the wind farm as a collective, we designed a wake steering control method to increase the power production of wind farms. The method was tested in a multi-turbine array at an operational wind farm where it statistically significantly increased the power production. The analytic gradient-based wind farm power optimization methodology developed can optimize the yaw misalignment angles for large wind farms on the order of seconds. In order to further develop and improve optimal controllers, we are also developing realistic wind farm large eddy simulation capabilities including Coriolis and stratification effects. The traditional approximation assumes that the horizontal component of Earth’s rotation is negligible in the atmospheric boundary layer. When including the horizontal component of Earth’s rotation, the boundary layer and wind farm physics are a function of the direction of the geostrophic wind direction. The influence of the geostrophic wind direction on a wind farm atmospheric boundary layer is characterized using conventionally neutral and stable boundary layer simulations.
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The 10th Complex Motion in Fluids 2021
Max Planck Gesellschaft
Centre for Scientific Computing