Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control: Preprint

Andrew Scholbrock, Paul Fleming, Alan Wright, S. Davoust, A. Jehu, M. Bouillet, M. Bardon, B. Vercherin

Research output: Contribution to conferencePaper

Abstract

Turbine-mounted lidars provide preview measurements of the incoming wind field. By reducing loads on critical components and increasing the potential power extracted from the wind, the performance of wind turbine controllers can be improved [2]. As a result, integrating a light detection and ranging (lidar) system has the potential to lower the cost of wind energy. This paper presents anevaluation of turbine-mounted lidar availability. Availability is a metric which measures the proportion of time the lidar is producing controller-usable data, and is essential when a wind turbine controller relies on a lidar. To accomplish this, researchers from Avent Lidar Technology and the National Renewable Energy Laboratory first assessed and modeled the effect of extreme atmosphericevents. This shows how a multirange lidar delivers measurements for a wide variety of conditions. Second, by using a theoretical approach and conducting an analysis of field feedback, we investigated the effects of the lidar setup on the wind turbine. This helps determine the optimal lidar mounting position at the back of the nacelle, and establishes a relationship between availability, turbinerpm, and lidar sampling time. Lastly, we considered the role of the wind field reconstruction strategies and the turbine controller on the definition and performance of a lidar's measurement availability.
Original languageAmerican English
Number of pages10
StatePublished - 2014
EventEWEA 2014 - Barcelona, Spain
Duration: 10 Mar 201413 Mar 2014

Conference

ConferenceEWEA 2014
CityBarcelona, Spain
Period10/03/1413/03/14

NREL Publication Number

  • NREL/CP-5000-61332

Keywords

  • Avent LIDAR Technology
  • LIDAR
  • light detection and ranging
  • NREL
  • wind turbine controls

Fingerprint

Dive into the research topics of 'Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control: Preprint'. Together they form a unique fingerprint.

Cite this