Volume 3, issue 2 | Copyright
Wind Energ. Sci., 3, 819-831, 2018
https://doi.org/10.5194/wes-3-819-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research articles 01 Nov 2018

Research articles | 01 Nov 2018

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), Wind Engineering and Renewable Energy Laboratory (WIRE), EPFL-ENAC-IIE-WIRE, 1015 Lausanne, Switzerland
  • 3Stuttgart Wind Energy (SWE), University of Stuttgart, Allmandring 5B, 70569 Stuttgart, Germany

Abstract. The objective of this paper is to compare field data from a scanning lidar mounted on a turbine to control-oriented wind turbine wake models. The measurements were taken from the turbine nacelle looking downstream at the turbine wake. This field campaign was used to validate control-oriented tools used for wind plant control and optimization. The National Wind Technology Center in Golden, CO, conducted a demonstration of wake steering on a utility-scale turbine. In this campaign, the turbine was operated at various yaw misalignment set points, while a lidar mounted on the nacelle scanned five downstream distances. Primarily, this paper examines measurements taken at 2.35 diameters downstream of the turbine. The lidar measurements were combined with turbine data and measurements of the inflow made by a highly instrumented meteorological mast on-site. This paper presents a quantitative analysis of the lidar data compared to the control-oriented wake models used under different atmospheric conditions and turbine operation. These results show that good agreement is obtained 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 implement 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 implement successful wind farm...
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