Discussion papers | Copyright
https://doi.org/10.5194/wes-2018-6
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Research articles 08 Feb 2018

Research articles | 08 Feb 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is 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 Jennifer Annoni et al.
  • 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.

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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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