Analysis of Control-Oriented Wake Modeling Tools Using Lidar Field Results

Paul Fleming, Jason Roadman, Scott Dana, Christiane Adcock, Fernando Porte-Agel, Steffen Raach, Florian Haizmann, David Schlipf, Andrew Scholbrock

Research output: Contribution to journalArticlepeer-review

80 Scopus Citations

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.

Original languageAmerican English
Pages (from-to)819-831
Number of pages13
JournalWind Energy Science
Volume3
Issue number2
DOIs
StatePublished - 2018

Bibliographical note

See NREL/JA-5000-70692 for article as published in Wind Energy Science Discussions

NREL Publication Number

  • NREL/JA-5000-72767

Keywords

  • control systems
  • lidar
  • wakes
  • wind energy
  • wind farm controls

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