Characterization of wind turbine flow through nacelle-mounted lidars: a review

Letizia, Stefano; Brugger, Peter; Bodini, Nicola; Krishnamurthy, Raghavendra; Scholbrock, Andrew; Simley, Eric; Porté-Agel, Fernando; Hamilton, Nicholas; Doubrawa, Paula; Moriarty, Patrick

doi:10.3389/fmech.2023.1261017

Characterization of wind turbine flow through nacelle-mounted lidars: a review

Journal Article · Thu Nov 02 00:00:00 EDT 2023 · Frontiers in Mechanical Engineering

DOI:https://doi.org/10.3389/fmech.2023.1261017· OSTI ID:2204517

Letizia, Stefano; Brugger, Peter; Bodini, Nicola; Krishnamurthy, Raghavendra; Scholbrock, Andrew; Simley, Eric; Porté-Agel, Fernando; Hamilton, Nicholas; Doubrawa, Paula; Moriarty, Patrick

This article provides a comprehensive review of the most recent advances in the planning, execution, and analysis of inflow and wake measurements from nacelle-mounted wind Doppler lidars. Lidars installed on top of wind turbines provide a holistic view of the inflow and wake characteristics required to characterize and optimize wind turbine performance, carry out model validation and calibration, and aid in real-time control. The need to balance the enhanced capabilities and limitations of lidars compared to traditional anemometers inspired a broad variety of approaches for scan design and wind reconstruction, which we discuss in this review. We give particular emphasis to identifying common guidelines and gaps in the available literature with the aim of providing an exhaustive picture of the state-of-the-art techniques for reconstructing wind plant flow using nacelle-mounted lidars.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

Grant/Contract Number:: AC05-76RL01830; AC36-08GO28308

OSTI ID:: 2204517

Alternate ID(s):: OSTI ID: 2204505
OSTI ID: 2229072

Report Number(s):: NREL/JA--5000-85767; NREL/JA-5000-85767; PNNL-SA-179377; 1261017

Journal Information:: Frontiers in Mechanical Engineering, Journal Name: Frontiers in Mechanical Engineering Vol. 9; ISSN 2297-3079

Publisher:: Frontiers Media SACopyright Statement

Country of Publication:: Switzerland

Language:: English

References (127)

Precision and shortcomings of yaw error estimation using spinner-based light detection and ranging Kragh, Knud A.; Hansen, Morten H.; Mikkelsen, Torben Wind Energy, Vol. 16, Issue 3 https://doi.org/10.1002/we.1492	journal	March 2012
Nonlinear model predictive control of wind turbines using LIDAR: Nonlinear model predictive control of wind turbines using LIDAR Schlipf, David; Schlipf, Dominik Johannes; Kühn, Martin Wind Energy, Vol. 16, Issue 7 https://doi.org/10.1002/we.1533	journal	August 2012
A spinner-integrated wind lidar for enhanced wind turbine control: Spinner-integrated wind lidar for enhanced steering and control Mikkelsen, T.; Angelou, N.; Hansen, K. Wind Energy, Vol. 16, Issue 4 https://doi.org/10.1002/we.1564	journal	October 2012
Analysis of light detection and ranging wind speed measurements for wind turbine control: Analysis of LIDAR measurements Simley, Eric; Pao, Lucy Y.; Frehlich, Rod Wind Energy, Vol. 17, Issue 3 https://doi.org/10.1002/we.1584	journal	February 2013
Power curve measurement with a nacelle mounted lidar: Power curve measurement with a nacelle lidar Wagner, R.; Pedersen, T. F.; Courtney, M. Wind Energy https://doi.org/10.1002/we.1643	journal	June 2013
Turbine-scale wind field measurements using dual-Doppler lidar: Turbine-scale wind field measurements using dual-Doppler lidar Newsom, Rob K.; Berg, Larry K.; Shaw, William J. Wind Energy, Vol. 18, Issue 2 https://doi.org/10.1002/we.1691	journal	December 2013
Empirical modeling of single-wake advection and expansion using full-scale pulsed lidar-based measurements: Empirical modeling of single-wake advection and expansion using full-scale pulsed lidar-based measurements Machefaux, E.; Larsen, G. C.; Troldborg, N. Wind Energy, Vol. 18, Issue 12 https://doi.org/10.1002/we.1805	journal	September 2014
Real-time wind field reconstruction from LiDAR measurements using a dynamic wind model and state estimation Towers, P.; Jones, B. Ll. Wind Energy, Vol. 19, Issue 1 https://doi.org/10.1002/we.1824	journal	November 2014
Uncertainty of power curve measurement with a two‐beam nacelle‐mounted lidar Wagner, Rozenn; Courtney, Michael Stephen; Pedersen, Troels F. Wind Energy, Vol. 19, Issue 7 https://doi.org/10.1002/we.1897	journal	September 2015
Investigation of wake interaction using full-scale lidar measurements and large eddy simulation: Investigation of wake interaction using full-scale lidar measurements and LES Machefaux, E.; Larsen, G. C.; Troldborg, N. Wind Energy, Vol. 19, Issue 8 https://doi.org/10.1002/we.1936	journal	October 2015
An experimental and numerical study of the atmospheric stability impact on wind turbine wakes: Experimental and numerical study of the atmospheric stability impact on wake Machefaux, Ewan; Larsen, Gunner C.; Koblitz, Tilman Wind Energy, Vol. 19, Issue 10 https://doi.org/10.1002/we.1950	journal	December 2015
Optimal blade pitch control with realistic preview wind measurements Dunne, Fiona; Pao, Lucy Y. Wind Energy, Vol. 19, Issue 12 https://doi.org/10.1002/we.1973	journal	March 2016
Application of simulated lidar scanning patterns to constrained Gaussian turbulence fields for load validation Dimitrov, Nikolay; Natarajan, Anand Wind Energy, Vol. 20, Issue 1 https://doi.org/10.1002/we.1992	journal	May 2016
Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data: Power losses due to wake interactions through SCADA, met and LiDAR data El-Asha, Said; Zhan, Lu; Iungo, Giacomo Valerio Wind Energy, Vol. 20, Issue 11 https://doi.org/10.1002/we.2123	journal	June 2017
The spectral signature of wind turbine wake meandering: A wind tunnel and field-scale study: Wake meandering spectral signature Heisel, Michael; Hong, Jiarong; Guala, Michele Wind Energy, Vol. 21, Issue 9 https://doi.org/10.1002/we.2189	journal	April 2018
Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes Bromm, Marc; Rott, Andreas; Beck, Hauke Wind Energy, Vol. 21, Issue 11 https://doi.org/10.1002/we.2210	journal	June 2018
Surrogate models for parameterized representation of wake‐induced loads in wind farms Dimitrov, Nikolay Wind Energy, Vol. 22, Issue 10 https://doi.org/10.1002/we.2362	journal	July 2019
LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes Zhan, Lu; Letizia, Stefano; Valerio Iungo, Giacomo Wind Energy, Vol. 23, Issue 3 https://doi.org/10.1002/we.2430	journal	December 2019
Multimodel validation of single wakes in neutral and stratified atmospheric conditions Doubrawa, Paula; Quon, Eliot W.; Martinez‐Tossas, Luis A. Wind Energy https://doi.org/10.1002/we.2543	journal	July 2020
Analysis of wind characteristics parameters with the application of lidar and mast Sharma, Pramod Kumar; Gautam, Atul; Warudkar, Vilas Wind Energy, Vol. 24, Issue 5 https://doi.org/10.1002/we.2580	journal	November 2020
Wake meandering: a pragmatic approach Larsen, Gunner C.; Madsen, Helge Aa.; Thomsen, Kenneth Wind Energy, Vol. 11, Issue 4, p. 377-395 https://doi.org/10.1002/we.267	journal	July 2008
Light detection and ranging measurements of wake dynamics part I: one-dimensional scanning Bingöl, Ferhat; Mann, Jakob; Larsen, Gunner C. Wind Energy, Vol. 13, Issue 1, p. 51-61 https://doi.org/10.1002/we.352	journal	January 2010
Light detection and ranging measurements of wake dynamics. Part II: two-dimensional scanning Trujillo, Juan-José; Bingöl, Ferhat; Larsen, Gunner C. Wind Energy, Vol. 14, Issue 1 https://doi.org/10.1002/we.402	journal	January 2011
Lidar profilers in the context of wind energy-a verification procedure for traceable measurements: Lidar profilers in the context of wind energy Gottschall, J.; Courtney, M. S.; Wagner, R. Wind Energy, Vol. 15, Issue 1 https://doi.org/10.1002/we.518	journal	December 2011
Coherent Doppler lidar for wind farm characterization: Coherent Doppler lidar for wind farm characterization Krishnamurthy, R.; Choukulkar, A.; Calhoun, R. Wind Energy, Vol. 16, Issue 2 https://doi.org/10.1002/we.539	journal	January 2012
Wind-Turbine and Wind-Farm Flows: A Review Porté-Agel, Fernando; Bastankhah, Majid; Shamsoddin, Sina Boundary-Layer Meteorology, Vol. 174, Issue 1 https://doi.org/10.1007/s10546-019-00473-0	journal	September 2019
Comparison of wind turbine power curves using cup anemometer and pulsed doppler light detection and ranging systems Shin, Dongheon; Ko, Kyungnam; Kang, Minsang Journal of Mechanical Science and Technology, Vol. 33, Issue 4 https://doi.org/10.1007/s12206-019-0318-x	journal	April 2019
Characterisation of Single Wind Turbine Wakes with Static and Scanning WINTWEX-W LiDAR Data Kumer, Valerie-M.; Reuder, Joachim; Svardal, Benny Energy Procedia, Vol. 80 https://doi.org/10.1016/j.egypro.2015.11.428	journal	January 2015
Nacelle-based Lidar Measurements for the Calibration of a Wake Model at Different Offshore Operating Conditions Trabucchi, Davide; Trujillo, Juan-José; Kühn, Martin Energy Procedia, Vol. 137 https://doi.org/10.1016/j.egypro.2017.10.335	journal	October 2017
Experimental study on application of nacelle-mounted LiDAR for analyzing wind turbine wake effects by distance Shin, Dongheon; Ko, Kyungnam Energy, Vol. 243 https://doi.org/10.1016/j.energy.2021.123088	journal	March 2022
Advance measurement of gusts by laser anemometry Harris, Michael; Bryce, David J.; Coffey, Adrian S. Journal of Wind Engineering and Industrial Aerodynamics, Vol. 95, Issue 12 https://doi.org/10.1016/j.jweia.2007.02.029	journal	December 2007
High-fidelity wind farm simulation methodology with experimental validation Hsieh, Alan S.; Brown, Kenneth A.; deVelder, Nathaniel B. Journal of Wind Engineering and Industrial Aerodynamics, Vol. 218 https://doi.org/10.1016/j.jweia.2021.104754	journal	November 2021
The use of preview wind measurements for blade pitch control Laks, Jason; Pao, Lucy; Wright, Alan Mechatronics, Vol. 21, Issue 4 https://doi.org/10.1016/j.mechatronics.2011.02.003	journal	June 2011
A new analytical model for wind-turbine wakes Bastankhah, Majid; Porté-Agel, Fernando Renewable Energy, Vol. 70 https://doi.org/10.1016/j.renene.2014.01.002	journal	October 2014
LiDAR-enabled model predictive control of wind turbines with real-time capabilities Bottasso, C. L.; Pizzinelli, P.; Riboldi, C. E. D. Renewable Energy, Vol. 71 https://doi.org/10.1016/j.renene.2014.05.041	journal	November 2014
Implementation of a generalized actuator disk model into WRF v4.3: A validation study for a real-scale wind turbine Kale, Baris; Buckingham, Sophia; van Beeck, Jeroen Renewable Energy, Vol. 197 https://doi.org/10.1016/j.renene.2022.07.119	journal	September 2022
Experimental and theoretical study of wind turbine wakes in yawed conditions Bastankhah, Majid; Porté-Agel, Fernando Journal of Fluid Mechanics, Vol. 806 https://doi.org/10.1017/jfm.2016.595	journal	October 2016
Reconstruction of turbulent flow fields from lidar measurements using large-eddy simulation Bauweraerts, Pieter; Meyers, Johan Journal of Fluid Mechanics, Vol. 906 https://doi.org/10.1017/jfm.2020.805	journal	November 2020
Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines Bossuyt, Juliaan; Scott, Ryan; Ali, Naseem Journal of Fluid Mechanics, Vol. 917 https://doi.org/10.1017/jfm.2021.237	journal	April 2021
The spatial structure of neutral atmospheric surface-layer turbulence Mann, Jakob Journal of Fluid Mechanics, Vol. 273 https://doi.org/10.1017/s0022112094001886	journal	August 1994
Geophysical limits to global wind power Marvel, Kate; Kravitz, Ben; Caldeira, Ken Nature Climate Change, Vol. 3, Issue 2 https://doi.org/10.1038/nclimate1683	journal	September 2012
Latest climate models confirm need for urgent mitigation Forster, Piers M.; Maycock, Amanda C.; McKenna, Christine M. Nature Climate Change, Vol. 10, Issue 1 https://doi.org/10.1038/s41558-019-0660-0	journal	December 2019
20% of US electricity from wind will have limited impacts on system efficiency and regional climate Pryor, S. C.; Barthelmie, R. J.; Shepherd, T. J. Scientific Reports, Vol. 10, Issue 1 https://doi.org/10.1038/s41598-019-57371-1	journal	January 2020
Wind plants can impact long-term local atmospheric conditions Bodini, Nicola; Lundquist, Julie K.; Moriarty, Patrick Scientific Reports, Vol. 11, Issue 1 https://doi.org/10.1038/s41598-021-02089-2	journal	November 2021
Un‐freezing the turbulence: application to LiDAR‐assisted wind turbine control Bossanyi, Ervin IET Renewable Power Generation, Vol. 7, Issue 4 https://doi.org/10.1049/iet-rpg.2012.0260	journal	July 2013
Large eddy simulation of wind turbine wake dynamics in the stable boundary layer using the Weather Research and Forecasting Model Aitken, Matthew L.; Kosović, Branko; Mirocha, Jeffrey D. Journal of Renewable and Sustainable Energy, Vol. 6, Issue 3 https://doi.org/10.1063/1.4885111	journal	May 2014
Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study Abkar, Mahdi; Porté-Agel, Fernando Physics of Fluids, Vol. 27, Issue 3 https://doi.org/10.1063/1.4913695	journal	March 2015
Comparison of modular analytical wake models to the Lillgrund wind plant Hamilton, Nicholas; Bay, Christopher J.; Fleming, Paul Journal of Renewable and Sustainable Energy, Vol. 12, Issue 5 https://doi.org/10.1063/5.0018695	journal	September 2020
Benchmarks for Model Validation based on LiDAR Wake Measurements Doubrawa, P.; Debnath, M.; Moriarty, P. J. Journal of Physics: Conference Series, Vol. 1256 https://doi.org/10.1088/1742-6596/1256/1/012024	journal	July 2019
Lidar-based Estimation of Turbulence Intensity for Controller Scheduling Schlipf, David; Guo, Feng; Raach, Steffen Journal of Physics: Conference Series, Vol. 1618, Issue 3 https://doi.org/10.1088/1742-6596/1618/3/032053	journal	September 2020
Farm blockage model validation using pre and post construction LiDAR measurements Jacquet, C.; Apgar, D.; Chauchan, V. Journal of Physics: Conference Series, Vol. 2265, Issue 2 https://doi.org/10.1088/1742-6596/2265/2/022009	journal	May 2022
Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment Letizia, Stefano; Moss, Coleman; Puccioni, Matteo Journal of Physics: Conference Series, Vol. 2265, Issue 2 https://doi.org/10.1088/1742-6596/2265/2/022033	journal	May 2022
Holistic scan optimization of nacelle-mounted lidars for inflow and wake characterization at the RAAW and AWAKEN field campaigns Letizia, Stefano; Bodini, Nicola; Brugger, Peter Journal of Physics: Conference Series, Vol. 2505, Issue 1 https://doi.org/10.1088/1742-6596/2505/1/012048	journal	May 2023
Field-test results using a nacelle-mounted lidar for improving wind turbine power capture by reducing yaw misalignment Fleming, P. A.; Scholbrock, A. K.; Jehu, A. Journal of Physics: Conference Series, Vol. 524 https://doi.org/10.1088/1742-6596/524/1/012002	journal	June 2014
Investigation of the Impact of the Upstream Induction Zone on LIDAR Measurement Accuracy for Wind Turbine Control Applications using Large-Eddy Simulation Simley, Eric; Pao, Lucy Y.; Gebraad, Pieter Journal of Physics: Conference Series, Vol. 524 https://doi.org/10.1088/1742-6596/524/1/012003	journal	June 2014
Three Dimensional Dynamic Model Based Wind Field Reconstruction from Lidar Data Raach, Steffen; Schlipf, David; Haizmann, Florian Journal of Physics: Conference Series, Vol. 524 https://doi.org/10.1088/1742-6596/524/1/012005	journal	June 2014
Wind turbine control applications of turbine-mounted LIDAR Bossanyi, E. A.; Kumar, A.; Hugues-Salas, O. Journal of Physics: Conference Series, Vol. 555 https://doi.org/10.1088/1742-6596/555/1/012011	journal	December 2014
Field Testing of Feedforward Collective Pitch Control on the CART2 Using a Nacelle-Based Lidar Scanner Schlipf, David; Fleming, Paul; Haizmann, Florian Journal of Physics: Conference Series, Vol. 555 https://doi.org/10.1088/1742-6596/555/1/012090	journal	December 2014
Turbulent Extreme Event Simulations for Lidar-Assisted Wind Turbine Control Schlipf, David; Raach, Steffen Journal of Physics: Conference Series, Vol. 753 https://doi.org/10.1088/1742-6596/753/5/052011	journal	September 2016
Lidar-Assisted Feedforward Individual Pitch Control to Compensate Wind Shear and Yawed Inflow Wortmann, Svenja; Geisler, Jens; Konigorski, Ulrich Journal of Physics: Conference Series, Vol. 753 https://doi.org/10.1088/1742-6596/753/5/052014	journal	September 2016
Analysis of wind coherence in the longitudinal direction using turbine mounted lidar Davoust, S.; von Terzi, D. Journal of Physics: Conference Series, Vol. 753 https://doi.org/10.1088/1742-6596/753/7/072005	journal	September 2016
High resolution wind turbine wake measurements with a scanning lidar Herges, T. G.; Maniaci, D. C.; Naughton, B. T. Journal of Physics: Conference Series, Vol. 854 https://doi.org/10.1088/1742-6596/854/1/012021	journal	May 2017
The Spectrum of Turbulence Taylor, G. I. Proceedings of the Royal Society of London. Series A - Mathematical and Physical Sciences, Vol. 164, Issue 919 https://doi.org/10.1098/rspa.1938.0032	journal	February 1938
Wake meandering of a model wind turbine operating in two different regimes Foti, Daniel; Yang, Xiaolei; Campagnolo, Filippo Physical Review Fluids, Vol. 3, Issue 5 https://doi.org/10.1103/PhysRevFluids.3.054607	journal	May 2018
Discrete spectral peak estimation in incoherent backscatter heterodyne lidar. I. Spectral accumulation and the Cramer-Rao lower bound Rye, B. J.; Hardesty, R. M. IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, Issue 1 https://doi.org/10.1109/36.210440	journal	January 1993
Importance of lidar measurement timing accuracy for wind turbine control Dunne, Fiona; Pao, Lucy Y.; Schlipf, David 2014 American Control Conference https://doi.org/10.1109/ACC.2014.6859337	conference	June 2014
A longitudinal spatial coherence model for wind evolution based on large-eddy simulation Simley, Eric; Pao, Lucy Y. 2015 American Control Conference (ACC) https://doi.org/10.1109/ACC.2015.7171906	conference	July 2015
Optimization of a feed-forward controller using a CW-lidar system on the CART3 Haizmann, Florian; Schlipf, David; Raach, Steffen 2015 American Control Conference (ACC) https://doi.org/10.1109/ACC.2015.7171907	conference	July 2015
Control of Wind Turbines Pao, Lucy Y.; Johnson, Kathryn E. IEEE Control Systems, Vol. 31, Issue 2, p. 44-62 https://doi.org/10.1109/MCS.2010.939962	journal	March 2011
Benefit of wind turbine preview control as a function of measurement coherence and preview time Dunne, Fiona; Pao, Lucy Y. 2013 American Control Conference https://doi.org/10.1109/acc.2013.6579910	conference	June 2013
A spectral model for evaluating the effect of wind evolution on wind turbine preview control Laks, Jason; Simley, Eric; Pao, Lucy 2013 American Control Conference https://doi.org/10.1109/acc.2013.6580400	conference	June 2013
Grand challenges in the science of wind energy Veers, Paul; Dykes, Katherine; Lantz, Eric Science, Vol. 366, Issue 6464 https://doi.org/10.1126/science.aau2027	journal	October 2019
Boundary-layer anemometry by optical remote sensing for wind energy applications [Boundary-layer anemometry by optical remote sensing for wind energy applications] Emeis, Stefan; Harris, Michael; Banta, Robert M. Meteorologische Zeitschrift, Vol. 16, Issue 4 https://doi.org/10.1127/0941-2948/2007/0225	journal	August 2007
Detection of Wind Evolution and Lidar Trajectory Optimization for Lidar-Assisted Wind Turbine Control [Detection of Wind Evolution and Lidar Trajectory Optimization for Lidar-Assisted Wind Turbine Control] Schlipf, David; Haizmann, Florian; Cosack, Nicolai Meteorologische Zeitschrift, Vol. 24, Issue 6 https://doi.org/10.1127/metz/2015/0634	journal	November 2015
Retrieval of Urban Boundary Layer Structures from Doppler Lidar Data. Part I: Accuracy Assessment Xia, Quanxin; Lin, Ching-Long; Calhoun, Ronald Journal of the Atmospheric Sciences, Vol. 65, Issue 1 https://doi.org/10.1175/2007jas2328.1	journal	January 2008
Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms Barthelmie, R. J.; Pryor, S. C.; Frandsen, S. T. Journal of Atmospheric and Oceanic Technology, Vol. 27, Issue 8, p. 1302-1317 https://doi.org/10.1175/2010jtecha1398.1	journal	August 2010
Can Wind Lidars Measure Turbulence? Sathe, A.; Mann, J.; Gottschall, J. Journal of Atmospheric and Oceanic Technology, Vol. 28, Issue 7 https://doi.org/10.1175/jtech-d-10-05004.1	journal	July 2011
Field Measurements of Wind Turbine Wakes with Lidars Iungo, Giacomo Valerio; Wu, Yu-Ting; Porté-Agel, Fernando Journal of Atmospheric and Oceanic Technology, Vol. 30, Issue 2 https://doi.org/10.1175/jtech-d-12-00051.1	journal	February 2013
Model of the Correlation between Lidar Systems and Wind Turbines for Lidar-Assisted Control Schlipf, David; Cheng, Po Wen; Mann, Jakob Journal of Atmospheric and Oceanic Technology, Vol. 30, Issue 10 https://doi.org/10.1175/jtech-d-13-00077.1	journal	October 2013
Utility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar Aitken, Matthew L.; Lundquist, Julie K. Journal of Atmospheric and Oceanic Technology, Vol. 31, Issue 7 https://doi.org/10.1175/jtech-d-13-00218.1	journal	July 2014
Volumetric Lidar Scanning of Wind Turbine Wakes under Convective and Neutral Atmospheric Stability Regimes Iungo, Giacomo Valerio; Porté-Agel, Fernando Journal of Atmospheric and Oceanic Technology, Vol. 31, Issue 10 https://doi.org/10.1175/jtech-d-13-00252.1	journal	October 2014
Near-Ground Effects of Wind Turbines: Observations and Physical Mechanisms Wu, Sicheng; Archer, Cristina L. Monthly Weather Review, Vol. 149, Issue 3 https://doi.org/10.1175/mwr-d-20-0186.1	journal	March 2021
Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator Castillo, Ricardo; Bayne, Stephen; Pol, Suhas Wind Engineering, Vol. 44, Issue 5 https://doi.org/10.1177/0309524x19852350	journal	June 2019
Assessment of Extremum Seeking Control for Wind Farm Energy Production Johnson, Kathryn E.; Fritsch, Geraldine Wind Engineering, Vol. 36, Issue 6 https://doi.org/10.1260/0309-524x.36.6.701	journal	December 2012
LIDAR Wind Speed Measurements of Evolving Wind Fields Simley, E.; Pao, L. Y. https://doi.org/10.2172/1047935	report	July 2012
TurbSim User's Guide Jonkman, B. J.; Buhl, Jr., M. L. https://doi.org/10.2172/891594	report	September 2006
Analysis of Wind Speed Measurements using Continuous Wave LIDAR for Wind Turbine Control Simley, Eric; Pao, Lucy; Frehlich, Rod 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition https://doi.org/10.2514/6.2011-263	conference	June 2011
Adding Feedforward Blade Pitch Control for Load Mitigation in Wind Turbines: Non-Causal Series Expansion, Preview Control, and Optimized FIR Filter Methods Dunne, Fiona; Pao, Lucy; Wright, Alan 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition https://doi.org/10.2514/6.2011-819	conference	January 2011
Comparison of Two Independent Lidar-Based Pitch Control Designs Dunne, Fiona; Schlipf, David; Pao, Lucy 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition https://doi.org/10.2514/6.2012-1151	conference	January 2012
Field Testing LIDAR-Based Feed-Forward Controls on the NREL Controls Advanced Research Turbine Scholbrock, Andrew; Fleming, Paul; Fingersh, Lee 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition https://doi.org/10.2514/6.2013-818	conference	January 2013
Field Test Results from Lidar Measured Yaw Control for Improved Power Capture with the NREL Controls Advanced Research Turbine Scholbrock, Andrew K.; Fleming, Paul A.; Wright, Alan 33rd Wind Energy Symposium https://doi.org/10.2514/6.2015-1209	conference	January 2015
A numerical framework for constraining synthetic wind fields with lidar measurements for improved load simulations Pettas, Vasilis; Costa García, Francisco; Kretschmer, Matthias AIAA Scitech 2020 Forum https://doi.org/10.2514/6.2020-0993	conference	January 2020
Application of the Nacelle Transfer Function by a Nacelle-Mounted Light Detection and Ranging System to Wind Turbine Power Performance Measurement Shin, Dongheon; Ko, Kyungnam Energies, Vol. 12, Issue 6 https://doi.org/10.3390/en12061087	journal	March 2019
Wake Statistics of Different-Scale Wind Turbines under Turbulent Boundary Layer Inflow Yang, Xiaolei; Foti, Daniel; Kelley, Christopher Energies, Vol. 13, Issue 11 https://doi.org/10.3390/en13113004	journal	June 2020
IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar Clifton, Andrew; Clive, Peter; Gottschall, Julia Remote Sensing, Vol. 10, Issue 3 https://doi.org/10.3390/rs10030406	journal	March 2018
Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation Carbajo Fuertes, Fernando; Markfort, Corey; Porté-Agel, Fernando Remote Sensing, Vol. 10, Issue 5 https://doi.org/10.3390/rs10050668	journal	April 2018
Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake Fuertes, Fernando; Porté-Agel, Fernando Remote Sensing, Vol. 10, Issue 5 https://doi.org/10.3390/rs10050721	journal	May 2018
Optimizing Lidars for Wind Turbine Control Applications—Results from the IEA Wind Task 32 Workshop Simley, Eric; Fürst, Holger; Haizmann, Florian Remote Sensing, Vol. 10, Issue 6 https://doi.org/10.3390/rs10060863	journal	June 2018
Temporal Up-Sampling of Planar Long-Range Doppler LiDAR Wind Speed Measurements Using Space-Time Conversion Beck, Hauke; Kühn, Martin Remote Sensing, Vol. 11, Issue 7 https://doi.org/10.3390/rs11070867	journal	April 2019
Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer Brugger, Peter; Fuertes, Fernando Carbajo; Vahidzadeh, Mohsen Remote Sensing, Vol. 11, Issue 19 https://doi.org/10.3390/rs11192247	journal	September 2019
A Review of Progress and Applications of Pulsed Doppler Wind LiDARs Liu, Zhengliang; Barlow, Janet F.; Chan, Pak-Wai Remote Sensing, Vol. 11, Issue 21 https://doi.org/10.3390/rs11212522	journal	October 2019
Reconstruction of Three-Dimensional Dynamic Wind-Turbine Wake Wind Fields with Volumetric Long-Range Wind Doppler LiDAR Measurements No authors listed Remote Sensing, Vol. 11, Issue 22 https://doi.org/10.3390/rs11222665	journal	November 2019
Assessing the Severity of Wind Gusts with Lidar Bos, René; Giyanani, Ashim; Bierbooms, Wim Remote Sensing, Vol. 8, Issue 9 https://doi.org/10.3390/rs8090758	journal	September 2016
Three-dimensional structure of wind turbine wakes as measured by scanning lidar Bodini, Nicola; Zardi, Dino; Lundquist, Julie K. Atmospheric Measurement Techniques, Vol. 10, Issue 8 https://doi.org/10.5194/amt-10-2881-2017	journal	January 2017
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Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models

Journal Article · Wed Oct 07 20:00:00 EDT 2020 · Wind Energy Science (Online) · OSTI ID:1671146

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17 WIND ENERGY
42 ENGINEERING
lidar
nacelle
scanning lidar
turbulence
wind energy

Characterization of wind turbine flow through nacelle-mounted lidars: a review

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