Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2018-6
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research articles
08 Feb 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
Analysis of Control-Oriented Wake Modeling Tools Using Lidar Field Results
Jennifer Annoni1, Paul Fleming1, Andrew Scholbrock1, Jason Roadman1, Scott Dana1, Christiane Adcock1, Fernando Porte-Agel2, Steffen Raach3, Florian Haizmann3, and David Schlipf3 1National Wind Technology Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA
2Ecole Polytechnique Federale De Lausanne (EPFL), Lausanne, Switzerland
3Stuttgart Wind Energy (SWE), University of Stuttgart, Allmandring 5B, 70569 Stuttgart, Germany
Abstract. Wind turbines in a wind farm operate individually to maximize their own performance regardless of the impact of aerodynamic interactions on neighboring turbines. Wind farm controls can be used to increase power production or reduce overall structural loads by properly coordinating turbines. One wind farm control strategy that is addressed in literature is known as wake steering, wherein upstream turbines operate in yaw misaligned conditions to redirect their wakes away from downstream turbines. The National Renewable Energy Laboratory (NREL) in Golden, CO conducted a demonstration of wake steering on a single utility-scale turbine. In this campaign, the turbine was operated at various yaw misalignment setpoints while a lidar mounted on the nacelle scanned five downstream distances. The lidar measurements were combined with turbine data, as well as measurements of the inflow made by a highly instrumented meteorological mast upstream. The full-scale measurements are used to validate controls-oriented tools, including wind turbine wake models, used for wind farm controls and optimization. This paper presents a quantitative comparison of the lidar data and controls-oriented wake models under different atmospheric conditions and turbine operation. The results show good agreement between the lidar data and the models under these different conditions.

Citation: Annoni, J., Fleming, P., Scholbrock, A., Roadman, J., Dana, S., Adcock, C., Porte-Agel, F., Raach, S., Haizmann, F., and Schlipf, D.: Analysis of Control-Oriented Wake Modeling Tools Using Lidar Field Results, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2018-6, in review, 2018.
Jennifer Annoni et al.
Jennifer Annoni et al.
Jennifer Annoni et al.

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This paper addresses the modeling aspect of wind farm control. To do successful wind farm controls, a suitable model has to be used that captures the relevant physics. This paper addresses three different wake models that can be used for controls and compares these models with lidar field data from a utility-scale turbine.
This paper addresses the modeling aspect of wind farm control. To do successful wind farm...
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