Title:	Wind Turbine and Wind Farm Wakes
DNr:	SNIC 2021/1-28
Project Type:	SNIC Large Compute
Principal Investigator:	Stefan Ivanell <stefan.ivanell@geo.uu.se>
Affiliation:	Uppsala universitet
Duration:	2021-07-01 – 2022-07-01
Classification:	20306 20304 20301
Homepage:	http://space.hgo.se/ivanell/?q=node/6
Keywords:

Abstract

Our group at Uppsala University Campus Gotland has been performing research on wind turbine wakes and atmospheric flow for more than a decade. We are interested in improving knowledge about the fundamentals of wake dynamics, validating and improving wind turbine aerodynamic models, for example over forested and complex terrain characteristic of the Swedish landscape, and under different atmospheric stability conditions. We are also studying more practical problems regarding the control and optimization of large wind farms, where we are aiming at increasing the production while minimizing turbine loadings. The amount of wind power development in Europe has reached a level where it has become important to investigate the effect of wind farms on each other; this is also one of the main issues we are interested in. It is important to mention that our participation to two annexes from the International Energy Agency as well as European projects has made possible an access to experimental data, which is a key issue for most of the studies we are performing. Data measurement activities have also increased by the group during recent years and have been made available for comparison purposes. We have wide range of experiences in the group considering atmospheric flow to small scale turbulence. Our calculations are performed using the code EllipSys3D, OpenFOAM, WRF and LBM methods. The simulations we are performing are quite demanding. The amount of projects we are involved in as well as the increase in the number of researchers in our group has resulted in an increase in computational resources that are needed by our group to fulfill its research goals. The present application summarizes in detail work that has been performed by our group since January 2019, using SNIC resources, as well the projects that are planned for in the next year. Our group is in a very good position to successfully perform different calculations whose implications are important both for an increase in the fundamental understanding of wake behavior as well as more practical information that can be very useful for the industry. Our international recognition in performing Large Eddy Simulations have resulted in a number of articles where international collaboration and state-of-art research is performed. This would not have been possible without access to large computation resources like those granted from SNIC. We acknowledge SNIC for the work that we could perform up to now, and we hope that the present demand will result in a positive outcome, allowing us to fulfill the projects we have planned for.