Articles | Volume 8, issue 2
https://doi.org/10.5194/amt-8-907-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-907-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Feb 2015
Research article |
| 23 Feb 2015
Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics
J. K. Lundquist
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
National Renewable Energy Laboratory, Golden, Colorado, USA
M. J. Churchfield
National Renewable Energy Laboratory, Golden, Colorado, USA
S. Lee
National Renewable Energy Laboratory, Golden, Colorado, USA
A. Clifton
National Renewable Energy Laboratory, Golden, Colorado, USA
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Cited
75 citations as recorded by crossref.
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- Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements P. Doubrawa et al. 10.3390/rs8110939
- Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment R. Barthelmie et al. 10.1088/1742-6596/1037/5/052022
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- Comparison of Mean and Dynamic Wake Characteristics between Research-Scale and Full-Scale Wind Turbines P. Doubrawa et al. 10.1088/1742-6596/1037/7/072053
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- Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign J. Lundquist et al. 10.1175/BAMS-D-15-00151.1
- Numerical investigation of the aerodynamic and wake characteristics of a floating twin-rotor wind turbine under surge motion Z. Zhang et al. 10.1016/j.enconman.2023.116957
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- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Low-Frequency Wind Energy Variability in the Continental Contiguous United States A. Boretti & S. Castelletto 10.3390/en13010144
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- The Effects of Wind Veer During the Morning and Evening Transitions M. Sanchez Gomez & J. Lundquist 10.1088/1742-6596/1452/1/012075
- Wind turbine power production and annual energy production depend on atmospheric stability and turbulence C. St. Martin et al. 10.5194/wes-1-221-2016
- Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment M. Debnath et al. 10.5194/amt-10-1215-2017
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- A wind turbine wake in changing atmospheric conditions: LES and lidar measurements L. Vollmer et al. 10.1088/1742-6596/854/1/012050
- Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia K. Barashid et al. 10.3390/en16020938
- 2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined With a Photosensor Array Q. Meng et al. 10.1109/TIM.2017.2676190
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- Observing and Simulating the Summertime Low-Level Jet in Central Iowa B. Vanderwende et al. 10.1175/MWR-D-14-00325.1
74 citations as recorded by crossref.
- Evaluation of the wind farm parameterization in the Weather Research and Forecasting model (version 3.8.1) with meteorological and turbine power data J. Lee & J. Lundquist 10.5194/gmd-10-4229-2017
- An Analytical Model for the Effect of Vertical Wind Veer on Wind Turbine Wakes M. Abkar et al. 10.3390/en11071838
- Influence of the Coriolis force on the structure and evolution of wind turbine wakes M. Abkar & F. Porté-Agel 10.1103/PhysRevFluids.1.063701
- Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements P. Doubrawa et al. 10.3390/rs8110939
- Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment R. Barthelmie et al. 10.1088/1742-6596/1037/5/052022
- Evaluation of turbulence measurement techniques from a single Doppler lidar T. Bonin et al. 10.5194/amt-10-3021-2017
- A Simple Model for Wake-Induced Aerodynamic Interaction of Wind Turbines E. Mahmoodi et al. 10.3390/en16155710
- Behavior and mechanisms of Doppler wind lidar error in varying stability regimes R. Robey & J. Lundquist 10.5194/amt-15-4585-2022
- Validating precision estimates in horizontal wind measurements from a Doppler lidar R. Newsom et al. 10.5194/amt-10-1229-2017
- Comparison of Mean and Dynamic Wake Characteristics between Research-Scale and Full-Scale Wind Turbines P. Doubrawa et al. 10.1088/1742-6596/1037/7/072053
- Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
- Implementation of a generalized actuator disk model into WRF v4.3: A validation study for a real-scale wind turbine B. Kale et al. 10.1016/j.renene.2022.07.119
- Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluation C. Rahlves et al. 10.5194/amt-15-2839-2022
- Can lidars assess wind plant blockage in simple terrain? A WRF-LES study M. Sanchez Gomez et al. 10.1063/5.0103668
- Implementation of a generalized actuator line model for wind turbine parameterization in the Weather Research and Forecasting model N. Marjanovic et al. 10.1063/1.4989443
- The effect of wind direction shear on turbine performance in a wind farm in central Iowa M. Sanchez Gomez & J. Lundquist 10.5194/wes-5-125-2020
- Observing and Simulating Wind-Turbine Wakes During the Evening Transition J. Lee & J. Lundquist 10.1007/s10546-017-0257-y
- Turbulence dissipation rate estimated from lidar observations during the LAPSE-RATE field campaign M. Sanchez Gomez et al. 10.5194/essd-13-3539-2021
- Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign A. Choukulkar et al. 10.5194/amt-10-247-2017
- Analysis of a Lower-Tropospheric Gravity Wave Train Using Direct and Remote Sensing Measurement Systems B. Toms et al. 10.1175/MWR-D-16-0216.1
- Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer P. Brugger et al. 10.3390/rs11192247
- Modeling and Investigation of the Effect of a Wind Turbine on the Atmospheric Boundary Layer V. Kovalnogov et al. 10.3390/en15218196
- Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake F. Fuertes & F. Porté-Agel 10.3390/rs10050721
- Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain Y. Pichugina et al. 10.1175/WAF-D-21-0214.1
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- Development of Community, Capabilities, and Understanding through Unmanned Aircraft-Based Atmospheric Research: The LAPSE-RATE Campaign G. de Boer et al. 10.1175/BAMS-D-19-0050.1
- Characterisation of Single Wind Turbine Wakes with Static and Scanning WINTWEX-W LiDAR Data V. Kumer et al. 10.1016/j.egypro.2015.11.428
- Turbulent kinetic energy estimates from profiling wind LiDAR measurements and their potential for wind energy applications V. Kumer et al. 10.1016/j.renene.2016.07.014
- Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans M. Debnath et al. 10.5194/amt-10-431-2017
- Testing and validation of multi‐lidar scanning strategies for wind energy applications J. Newman et al. 10.1002/we.1978
- Coupled mesoscale‐LES modeling of a diurnal cycle during the CWEX‐13 field campaign: From weather to boundary‐layer eddies D. Muñoz‐Esparza et al. 10.1002/2017MS000960
- Applications of Cell-Ratio Constant False-Alarm Rate Method in Coherent Doppler Wind Lidar H. Zhu et al. 10.3390/atmos7120165
- Understanding balloon-borne frost point hygrometer measurements after contamination by mixed-phase clouds T. Jorge et al. 10.5194/amt-14-239-2021
- Statistical characteristics of interacting wind turbine wakes from a 7-month LiDAR measurement campaign E. Torres Garcia et al. 10.1016/j.renene.2018.06.030
- Do wind turbines pose roll hazards to light aircraft? J. Tomaszewski et al. 10.5194/wes-3-833-2018
- Coupling of mesoscale Weather Research and Forecasting model to a high fidelity Large Eddy Simulation C. Santoni et al. 10.1088/1742-6596/1037/6/062010
- Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign J. Lundquist et al. 10.1175/BAMS-D-15-00151.1
- Numerical investigation of the aerodynamic and wake characteristics of a floating twin-rotor wind turbine under surge motion Z. Zhang et al. 10.1016/j.enconman.2023.116957
- Characterizing Thunderstorm Gust Fronts near Complex Terrain N. Luchetti et al. 10.1175/MWR-D-19-0316.1
- Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems P. Gasch et al. 10.5194/amt-16-5495-2023
- Improving lidar turbulence estimates for wind energy J. Newman et al. 10.1088/1742-6596/753/7/072010
- Modeling of the atmospheric boundary layer under stability stratification for wind turbine wake production M. Ichenial et al. 10.1177/0309524X19880929
- Atmospheric turbulence affects wind turbine nacelle transfer functions C. St. Martin et al. 10.5194/wes-2-295-2017
- Reconstruction of turbulent flow fields from lidar measurements using large-eddy simulation P. Bauweraerts & J. Meyers 10.1017/jfm.2020.805
- Multilevel Validation of Doppler Wind Lidar by the 325 m Meteorological Tower in the Planetary Boundary Layer of Beijing L. Dai et al. 10.3390/atmos11101051
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign T. Bell et al. 10.5194/essd-13-1041-2021
- An error reduction algorithm to improve lidar turbulence estimates for wind energy J. Newman & A. Clifton 10.5194/wes-2-77-2017
- Lidar-based wake tracking for closed-loop wind farm control S. Raach et al. 10.5194/wes-2-257-2017
- Remote sensing of plant-water relations: An overview and future perspectives A. Damm et al. 10.1016/j.jplph.2018.04.012
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Investigating wind turbine impacts on near-wake flow using profiling lidar data and large-eddy simulations with an actuator disk model J. Mirocha et al. 10.1063/1.4928873
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
- Decreasing wind speed extrapolation error via domain-specific feature extraction and selection D. Vassallo et al. 10.5194/wes-5-959-2020
- Evaluation of three lidar scanning strategies for turbulence measurements J. Newman et al. 10.5194/amt-9-1993-2016
- A Numerical Study of Wind-Turbine Wakes for Three Atmospheric Stability Conditions S. Xie & C. Archer 10.1007/s10546-017-0259-9
- Characterization of Turbulence in Wind Turbine Wakes under Different Stability Conditions from Static Doppler LiDAR Measurements V. Kumer et al. 10.3390/rs9030242
- Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals D. Conti et al. 10.5194/wes-6-841-2021
- Curled-Skewed Wakes behind Yawed Wind Turbines Subject to Veered Inflow M. Mohammadi et al. 10.3390/en15239135
- Longitudinal coherence and short-term wind speed prediction based on a nacelle-mounted Doppler lidar M. Debnath et al. 10.1088/1742-6596/1618/3/032051
- Near-Surface Wind Profiling in a Utility-Scale Onshore Wind Farm Using Scanning Doppler Lidar: Quality Control and Validation T. Ma et al. 10.3390/rs16060989
- Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. 10.5194/amt-10-2881-2017
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Low-Frequency Wind Energy Variability in the Continental Contiguous United States A. Boretti & S. Castelletto 10.3390/en13010144
- Offshore Wind Turbine Wake characteristics using Scanning Doppler Lidar R. Krishnamurthy et al. 10.1016/j.egypro.2017.10.367
- The Effects of Wind Veer During the Morning and Evening Transitions M. Sanchez Gomez & J. Lundquist 10.1088/1742-6596/1452/1/012075
- Wind turbine power production and annual energy production depend on atmospheric stability and turbulence C. St. Martin et al. 10.5194/wes-1-221-2016
- Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment M. Debnath et al. 10.5194/amt-10-1215-2017
- The Impact of Sensor Response and Airspeed on the Representation of the Convective Boundary Layer and Airmass Boundaries by Small Unmanned Aircraft Systems A. Houston & J. Keeler 10.1175/JTECH-D-18-0019.1
- A wind turbine wake in changing atmospheric conditions: LES and lidar measurements L. Vollmer et al. 10.1088/1742-6596/854/1/012050
- Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia K. Barashid et al. 10.3390/en16020938
- 2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined With a Photosensor Array Q. Meng et al. 10.1109/TIM.2017.2676190
- Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. 10.5194/wes-7-1241-2022
- An LES-based airborne Doppler lidar simulator and its application to wind profiling in inhomogeneous flow conditions P. Gasch et al. 10.5194/amt-13-1609-2020
1 citations as recorded by crossref.
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Latest update: 20 Apr 2024
Short summary
Wind-profiling lidars are now regularly used in boundary-layer meteorology and in applications like wind energy, but their use often relies on assuming homogeneity in the wind. Using numerical simulations of stable flow past a wind turbine, we quantify the error expected because of the inhomogeneity of the flow. Large errors (30%) in winds are found near the wind turbine, but by three rotor diameters downwind, errors in the horizontal components have decreased to 15% of the inflow.
Wind-profiling lidars are now regularly used in boundary-layer meteorology and in applications...
