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

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 an evaluation 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 atmospheric events. 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, turbine rpm, and lidar sampling time. Lastly, we considered the role of the wind field reconstruction strategies and the turbine controller on the definitionmore » and performance of a lidar's measurement availability.« less
Authors:
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Publication Date:
OSTI Identifier:
1132171
Report Number(s):
NREL/CP-5000-61332
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at EWEA 2014, 10-13 March 2014, Barcelona, Spain
Research Org:
National Renewable Energy Laboratory (NREL), Golden, CO.
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy Wind and Water Power Technologies Office, Wind Program
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING LIDAR; LIGHT DETECTION AND RANGING; WIND TURBINE CONTROL; NREL; AVENT LIDAR TECHNOLOGY; Wind Energy