skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Wind turbine wake characterization from temporally disjunct 3-D measurements

Journal Article · · Remote Sensing
DOI:https://doi.org/10.3390/rs8110939· OSTI ID:1339506
 [1];  [1];  [2];  [1];  [3]
  1. Cornell Univ., Ithaca, NY (United States)
  2. SpurrEnergy Ltd., Vancouver, BC (Canada)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
+ Show Author Affiliations

Scanning LiDARs can be used to obtain three-dimensional wind measurements in and beyond the atmospheric surface layer. In this work, metrics characterizing wind turbine wakes are derived from LiDAR observations and from large-eddy simulation (LES) data, which are used to recreate the LiDAR scanning geometry. The metrics are calculated for two-dimensional planes in the vertical and cross-stream directions at discrete distances downstream of a turbine under single-wake conditions. The simulation data are used to estimate the uncertainty when mean wake characteristics are quantified from scanning LiDAR measurements, which are temporally disjunct due to the time that the instrument takes to probe a large volume of air. Based on LES output, we determine that wind speeds sampled with the synthetic LiDAR are within 10% of the actual mean values and that the disjunct nature of the scan does not compromise the spatial variation of wind speeds within the planes. We propose scanning geometry density and coverage indices, which quantify the spatial distribution of the sampled points in the area of interest and are valuable to design LiDAR measurement campaigns for wake characterization. Lastly, we find that scanning geometry coverage is important for estimates of the wake center, orientation and length scales, while density is more important when seeking to characterize the velocity deficit distribution.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1339506
Report Number(s):
NREL/JA-5000-67719
Journal Information:
Remote Sensing, Vol. 8, Issue 11; ISSN 2072-4292
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

References (31)

Field Measurements of Wind Turbine Wakes with Lidars journal February 2013
On the application of the Jensen wake model using a turbulence‐dependent wake decay coefficient: the Sexbierum case journal May 2015
Light detection and ranging measurements of wake dynamics part I: one-dimensional scanning journal January 2010
Variations of the Wake Height over the Bolund Escarpment Measured by a Scanning Lidar journal November 2015
Simulation of the inherent turbulence and wake interaction inside an infinitely long row of wind turbines journal April 2013
Simulation of Coherent Doppler Lidar Performance in the Weak-Signal Regime journal June 1996
The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm: Power deficits in offshore wind farms journal November 2011
Effects of an escarpment on flow parameters of relevance to wind turbines: Flow over an escarpment at turbine relevant heights journal March 2016
Defining wake characteristics from scanning and vertical full- scale lidar measurements journal September 2016
Coherent Doppler lidar for wind farm characterization: Coherent Doppler lidar for wind farm characterization journal January 2012
A stochastic wind turbine wake model based on new metrics for wake characterization: A stochastic wind turbine wake model based on new metrics for wake characterization journal August 2016
Wake Measurements of a Multi-MW Wind Turbine with Coherent Long-Range Pulsed Doppler Wind Lidar journal September 2010
Techniques of Wind Vector Estimation from Data Measured with a Scanning Coherent Doppler Lidar journal February 2003
Continuous-wave bistatic laser Doppler wind sensor journal January 2001
Lidar arc scan uncertainty reduction through scanning geometry optimization journal January 2016
Investigating wind turbine impacts on near-wake flow using profiling lidar data and large-eddy simulations with an actuator disk model journal July 2015
3D Wind and Turbulence Characteristics of the Atmospheric Boundary Layer journal May 2014
Lidar Investigation of Atmosphere Effect on a Wind Turbine Wake journal November 2013
Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data journal April 2014
Characterisation of Single Wind Turbine Wakes with Static and Scanning WINTWEX-W LiDAR Data journal January 2015
Single-particle laser Doppler anemometry at 155 µm journal January 2001
Light detection and ranging measurements of wake dynamics. Part II: two-dimensional scanning journal January 2011
Lidar-based Research and Innovation at DTU Wind Energy – a Review journal June 2014
A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics journal January 2012
Utility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar journal July 2014
Numerical Modeling of Wind Turbine Wakes journal May 2002
Hub Height Ocean Winds over the North Sea Observed by the NORSEWInD Lidar Array: Measuring Techniques, Quality Control and Data Management journal September 2013
A Lagrangian dynamic subgrid-scale model of turbulence journal July 1996
Meteorological Controls on Wind Turbine Wakes journal April 2013
Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics journal January 2015
Coalescing Wind Turbine Wakes journal June 2015

Cited By (8)

Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment journal June 2018
Wake Management in Wind Farms: An Adaptive Control Approach journal April 2019
IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar journal March 2018
Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation journal April 2018
Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake journal May 2018
Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications” journal April 2019
Automated wind turbine wake characterization in complex terrain journal January 2019
IEA Wind Task 32: Wind Lidar : identifying and mitigating barriers to the adoption of wind lidar collection January 2018

Similar Records

Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics
Journal Article · Mon Feb 23 00:00:00 EST 2015 · Atmospheric Measurement Techniques (Online) · OSTI ID:1339506
+1 more
3D Volumetric Analysis of Wind Turbine Wake Properties in the Atmosphere Using High-Resolution Doppler Lidar
Journal Article · Fri May 01 00:00:00 EDT 2015 · Journal of Atmospheric and Oceanic Technology · OSTI ID:1339506
+6 more
LIDAR Wind Speed Measurements of Evolving Wind Fields
Conference · Sun Jan 01 00:00:00 EST 2012 · OSTI ID:1339506
+2 more

Related Subjects

17 WIND ENERGY
wind energy
turbine
wakes
LiDAR