Bibliography

This page lists publications related to IEA Wind Task 32 since 2012 (start year of the Task).

Latex user can download the full bib-file here and word user can download the xml-file here.

Please send suggestions for more papers to the Operating Agent.

 

2017

  • A. Borraccino, “Remotely measuring the wind using turbine-mounted lidars: application to power performance testing,” PhD Thesis, 2017. doi:10.11581/DTU:00000021 
    [Download PDF]
  • A. Borraccino, D. Schlipf, F. Haizmann, and R. Wagner, “Wind field reconstruction from nacelle-mounted lidar short-range measurements,” Wind energy science, vol. 2, iss. 1, p. 269–283, 2017. doi:10.5194/wes-2-269-2017 
    [Download PDF]
  • E. Cheynet, J. B. Jakobsen, J. Snæbjörnsson, J. Reuderc, V. M. Kumer, and B. Svardal, “Assessing the potential of a commercial pulsed lidar for wind characterisation at a bridge site,” Journal of wind engineering and industrial aerodynamics, vol. 161, pp. 17-26, 2017. doi:10.1016/j.jweia.2016.12.002 
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  • A. Choukulkar, W. A. Brewer, S. P. Sandberg, A. Weickmann, T. A. Bonin, R. M. Hardesty, J. K. Lundquist, R. Delgado, G. V. Iungo, R. Ashton, M. Debnath, L. Bianco, J. M. Wilczak, S. Oncley, and D. Wolfe, “Evaluation of single and multiple doppler lidar techniques to measure complex flow during the xpia field campaign,” Atmospheric measurement techniques, vol. 10, iss. 1, p. 247–264, 2017. doi:10.5194/amt-10-247-2017 
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  • M. Debnath, G. V. Iungo, A. W. Brewer, A. Choukulkar, R. Delgado, S. Gunter, J. K. Lundquist, J. L. Schroeder, J. M. Wilczak, and D. Wolfe, “Assessment of virtual towers performed with scanning wind lidars and ka-band radars during the XPIA experiment,” Atmospheric measurement techniques, vol. 10, iss. 3, p. 1215–1227, 2017. doi:10.5194/amt-10-1215-2017 
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  • G. Demurtas, T. Friis Pedersen, and R. Wagner, “Nacelle power curve measurement with spinner anemometer and uncertainty evaluation,” Wind energy science, vol. 2, iss. 1, p. 97–114, 2017. doi:10.5194/wes-2-97-2017 
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  • M. F. van Dooren, F. Campagnolo, M. Sjöholm, N. Angelou, T. Mikkelsen, and M. Kuehn, “Demonstration and uncertainty analysis of synchronised scanning lidar measurements of 2-d velocity fields in a boundary-layer wind tunnel,” Wind energy science, vol. 2, iss. 1, p. 329–341, 2017. doi:10.5194/wes-2-329-2017 
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  • S. El-Asha, L. Zhan, and G. V. lungo, “Quantification of power losses due to wind turbine wake interactions through scada, meteorological and wind lidar data,” Wind energy, vol. 20, p. 1823–1839, 2017. doi:10.1002/we.2123 
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  • P. Fleming, J. Annoni, A. Scholbrock, E. Quon, S. Dana, S. Schreck, Steffen Raach, F. Haizmann, and D. Schlipf, “Full-scale field test of wake steering,” Journal of physics: conference series, vol. 854, iss. 1, p. 12013, 2017. doi:10.1088/1742-6596/854/1/012013 
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  • J. Gottschall, B. Gribben, D. Stein, and I. Würth, “Floating lidar as an advanced offshore wind speed measurement technique: current technology status and gap analysis in regard to full maturity,” Wiley interdisciplinary reviews: energy and environment, 2017. doi:10.1002/wene.250 
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  • M. A. Gutiérrez-Antuñano, J. Tiana-Alsina, and F. Rocadenbosch, “Performance evaluation of a floating lidar buoy in nearshore conditions,” Wind energy, vol. 20, p. 1711–1726, 2017. doi:10.1002/we.2118 
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  • V. M. Kumer, J. Reuder, and R. Oftedal Eikill, “Characterization of turbulence in wind turbine wakes under different stability conditions from static doppler lidar measurements,” Remote sensing, vol. 9, iss. 3, p. 242, 2017. doi:10.3390/rs9030242 
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  • J. Mann, N. Angelou, J. Arnqvist, D. Callies, E. Cantero, C. R. Arroyo, M. Courtney, J. Cuxart, E. Dellwik, J. Gottschall, S. Ivanell, P. Kühn, G. Lea, J. C. Matos, J. M. L. M. Palma, L. Pauscher, A. Peña, S. J. Rodrigo, S. Söderberg, N. Vasiljevic, and V. C. Rodrigues, “Complex terrain experiments in the new european wind atlas,” Philosophical transactions of the royal society of london a: mathematical, physical and engineering sciences, vol. 375, iss. 2091, 2017. doi:10.1098/rsta.2016.0101 
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  • A. R. Meyer Forsting, N. Troldborg, J. P. Murcia Leon, A. Sathe, N. Angelou, and A. Vignaroli, “Validation of a cfd model with a synchronized triple-lidar system in the wind turbine induction zone,” Wind energy, 2017. doi:10.1002/we.2103 
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  • J. F. Newman and A. Clifton, “An error reduction algorithm to improve lidar turbulence estimates for wind energy,” Wind energy science, vol. 2, iss. 1, p. 77–95, 2017.doi:10.5194/wes-2-77-2017 
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  • R. K. Newsom, A. W. Brewer, J. M. Wilczak, D. E. Wolfe, S. P. Oncley, and J. K. Lundquist, “Validating precision estimates in horizontal wind measurements from a doppler lidar,” Atmospheric measurement techniques, vol. 10, iss. 3, p. 1229–1240, 2017. doi:10.5194/amt-10-1229-2017 
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  • A. Peña, J. Mann, and N. Dimitrov, “Turbulence characterization from a forward-looking nacelle lidar,” Wind energy science, vol. 2, iss. 1, p. 133–152, 2017. doi:10.5194/wes-2-133-2017 
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  • S. Raach, J. W. van Wingerden, S. Boersma, D. Schlipf, and P. W. Cheng, “H∞ controller design for closed-loop wake redirection,” 2017 american control conference (acc), pp. 703-708, 2017. doi:10.23919/ACC.2017.7963035 
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  • S. Raach, D. Schlipf, and P. W. Cheng, “Lidar-based wake tracking for closed-loop wind farm control,” Wind energy science, vol. 2, iss. 1, p. 257–267, 2017. doi:10.5194/wes-2-257-2017 
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  • S. Raach, D. Schlipf, and P. W. Cheng, “Lidar-based wake tracking for closed-loop wind farm control,” Wind energy science, vol. 2, iss. 1, p. 257–267, 2017. doi:10.5194/wes-2-257-2017 
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  • X. Zhai, S. Wu, B. Liu, X. Song, and J. Yin, “Shipborne wind measurement and motion-induced error correction by coherent doppler lidar over yellow sea in 2014,” Atmospheric measurement techniques discussions, vol. 2017, p. 1–24, 2017. doi:10.5194/amt-2017-206 
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2016

  • A. Borraccino, M. Courtney, and R. Wagner, “Generic methodology for field calibration of nacelle-based wind lidars,” Remote sensing, vol. 8, iss. 11, 2016. doi:10.3390/rs8110907 
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  • R. Bos, A. Giyanani, and W. Bierbooms, “Assessing the severity of wind gusts with lidar,” Remote sensing, vol. 8, iss. 9, p. 758, 2016. doi:10.3390/rs8090758 
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  • E. Cheynet, J. B. Jakobsen, B. Svardal, J. Reuder, and V. Kumer, “Wind coherence measurement by a single pulsed doppler wind lidar,” Energy procedia, vol. 94, pp. 462-477, 2016.doi:10.1016/j.egypro.2016.09.217 
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  • M. Churchfield, Q. Wang, A. Scholbrock, T. Herges, T. Mikkelsen, and M. Sjöholm, “Using high-fidelity computational fluid dynamics to help design a wind turbine wake measurement experiment,” Journal of physics: conference series, vol. 753, iss. 3, p. 32009, 2016. doi:10.1088/1742-6596/753/3/032009 
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  • A. Cool G, “Floating lidar technology: oceanographic parameters influencing accuracy of wind vector reconstruction,” Master Thesis, 2016. 
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  • D. Kim, T. Kim, G. Oh, J. Huh, and K. Ko, “A comparison of ground-based lidar and met mast wind measurements for wind resource assessment over various terrain conditions,” Journal of wind engineering and industrial aerodynamics, vol. 158, pp. 109-121, 2016. doi:10.1016/j.jweia.2016.09.011 
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  • V. M. Kumer, J. Reuder, M. Dorninger, R. Zauner, and V. Grubišić, “Turbulent kinetic energy estimates from profiling wind lidar measurements and their potential for wind energy applications,” Renewable energy, vol. 99, pp. 898-910, 2016. doi:10.1016/j.renene.2016.07.014 
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  • J. K. Lundquist, J. M. Wilczak, R. Ashton, L. Bianco, A. W. Brewer, A. Choukulkar, A. Clifton, M. Debnath, R. Delgado, K. Friedrich, S. Gunter, A. Hamidi, G. V. Iungo, A. Kaushik, B. Kosović, P. Langan, A. Lass, E. Lavin, J. C. -Y. Lee, K. L. McCaffrey, R. K. Newsom, D. C. Noone, S. P. Oncley, P. T. Quelet, S. P. Sandberg, J. L. Schroeder, W. J. Shaw, L. Sparling, C. S. Martin, A. S. Pe, E. Strobach, K. Tay, B. J. Vanderwende, A. Weickmann, D. Wolfe, and R. Worsnop, “Assessing state-of-the-art capabilities for probing the atmospheric boundary layer: the xpia field campaign,” Bulletin of the american meteorological society, 2016. doi:10.1175/BAMS-D-15-00151.1 
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  • M. Mirzaei and M. H. Hansen, “A lidar-assisted model predictive controller added on a traditional wind turbine controller,” in Proceedings of the american control conference, Boston, MA, USA, 2016. doi:10.1109/ACC.2016.7525110 
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  • J. F. Newman and A. Clifton, “Quantifying the effect of lidar turbulence error on wind power prediction,” in Poster presented at the american meteorological society (ams) 96th annual meeting, 2016. 
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  • L. Pauscher, N. Vasiljevic, D. Callies, G. Lea, J. Mann, T. Klaas, J. Hieronimus, J. Gottschall, A. Schwesig, M. Kühn, and M. Courtney, “An inter-comparison study of multi- and dbs lidar measurements in complex terrain,” Remote sensing, vol. 8, iss. 9, p. 782, 2016. doi:10.3390/rs8090782 
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  • A. Peña, A. Bechmann, D. Conti, and N. Angelou, “The fence experiment – full-scale lidar-based shelter observations,” Wind energy science, vol. 1, iss. 2, p. 101–114, 2016.doi:10.5194/wes-1-101-2016 
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  • S. Raach, D. Schlipf, F. Borisade, and P. W. Cheng, “Wake redirecting using feedback control to improve the power output of wind farms,” in Proceedings of the american control conference, Boston, MA, USA, 2016. doi:10.1109/ACC.2016.7525111 
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  • D. Schlipf, “Prospects of multivariable feedforward control of wind turbines using lidar,” in Proceedings of the american control conference, Boston, MA, USA, 2016.doi:10.1109/ACC.2016.7525112 
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  • D. Schlipf, “Lidar-assisted control concepts for wind turbines,” PhD Thesis, 2016. doi:10.18419/opus-8796 
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  • M. Schmidt, J. J. Trujillo, and M. Kühn, “Orientation correction of wind direction measurements by means of staring lidar,” Journal of physics: conference series, vol. 749, iss. 1, p. 12005, 2016. doi:10.1088/1742-6596/749/1/012005 
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  • A. Scholbrock, P. Fleming, D. Schlipf, A. Wright, K. Johnson, and N. Wang, “Lidar-enhanced wind turbine control: past, present, and future,” in Proceedings of the american control conference, Boston, MA, USA, 2016. doi:10.1109/ACC.2016.7525113 
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  • E. Simley, N. Angelou, T. Mikkelsen, M. Sjöholm, J. Mann, and L. Y. Pao, “Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars,” Journal of renewable and sustainable energy, vol. 8, iss. 1, 2016. doi:10.1063/1.4940025 
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  • P. Towers and L. B. Jones, “Real-time wind field reconstruction from lidar measurements using a dynamic wind model and state estimation,” Wind energy, vol. 19, iss. 1, p. 133–150, 2016. doi:10.1002/we.1824 
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  • J. J. Trujillo, J. K. Seifert, I. Würth, D. Schlipf, and M. Kühn, “Full-field assessment of wind turbine near-wake deviation in relation to yaw misalignment,” Wind energy science, vol. 1, iss. 1, p. 41–53, 2016. doi:10.5194/wes-1-41-2016 
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  • L. Vollmer, G. Steinfeld, D. Heinemann, and M. Kühn, “Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an les study,” Wind energy science, vol. 1, iss. 2, p. 129–141, 2016. doi:10.5194/wes-1-129-2016 
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2015

  • D. Bastine, M. Wächter, J. Peinke, D. Trabucchi, and M. Kühn, “Characterizing wake turbulence with staring lidar measurements,” Journal of physics: conference series, vol. 625, iss. 1, p. 12006, 2015. doi:10.1088/1742-6596/625/1/012006 
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  • A. Clifton, M. Boquet, E. B. D. Roziers, A. Westerhellweg, M. Hofsäß, T. Klaas, K. Vogstad, P. Clive, M. Harris, S. Wylie, E. Osler, B. Banta, A. Choukulkar, J. Lundquist, and M. Aitken, “Remote sensing of complex flows by doppler wind lidar: issues and preliminary recommendations,” NREL, NREL/TP-5000-64634, 2015. 
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  • H. Fürst, D. Schlipf, M. Iribas Latour, and P. W. Cheng, “Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine,” in Proceedings of the european wind energy association annual event, Paris, France, 2015. doi:10.18419/opus-8418 
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  • S. J. Goossens, “Field-test of nacelle-based lidar to explore its applications for vattenfall as wind park operator,” mathesis Master Thesis, 2015. 
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  • F. Haizmann, D. Schlipf, S. Raach, A. Scholbrock, A. Wright, C. Slinger, J. Medley, M. Harris, E. Bossanyi, and P. W. Cheng, “Optimization of a feed-forward controller using a cw-lidar system on the cart3,” in Proceedings of the american control conference, Chicago, Illinois, USA, 2015, pp. 3715-3720. doi:10.1109/ACC.2015.7171907 
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  • F. Haizmann, David, and P. W. Cheng, “Correlation-model of rotor-effective wind shears and wind speed for lidar-based individual pitch control,” in Proceedings of the german wind energy conference, 2015. doi:10.18419/opus-3976 
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  • J. B. Jakobsen, E. Cheynet, E. Snæbjörnsson, T. Mikkelsen, M. Sjöholm, N. Angelou, P. Hansen, J. Mann, B. Svardal, V. Kumer, and J. Reuder, “Assessment of wind conditions at a fjord inlet by complementary use of sonic anemometers and lidars,” Energy procedia, vol. 80, pp. 411-421, 2015. doi:10.1016/j.egypro.2015.11.445 
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  • T. Klaas, L. Pauscher, and D. Callies, “Lidar-mast deviations in complex terrain and their simulation using cfd,” Meteorologische zeitschrift, vol. 24, iss. 6, pp. 591-603, 2015.doi:10.1127/metz/2015/0637 
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  • A. Kumar, E. A. Bossayni, A. K. Scholbrock, P. A. Fleming, M. Boquet, and R. Krishnamurthy, “Field testing of lidar assisted feedforward control algorithms for improved speed control and fatigue load reduction on a 600 kW wind turbine,” in Proceedings of the european wind energy association annual event, Paris, France, 2015. 
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  • V. M. Kumer, J. Reuder, B. Svardal, C. Sætre, and P. Eecen, “Characterisation of single wind turbine wakes with static and scanning wintwex-w lidar data,” Energy procedia, vol. 80, pp. 245-254, 2015. doi:10.1016/j.egypro.2015.11.428 
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  • J. K. Lundquist, M. J. Churchfield, S. Lee, and A. Clifton, “Quantifying error of lidar and sodar doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics,” Atmospheric measurement techniques, vol. 8, iss. 2, p. 907–920, 2015. doi:10.5194/amt-8-907-2015 
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  • E. Machefaux, G. C. Larsen, N. Troldborg, K. S. Hansen, N. Angelou, T. Mikkelsen, and J. Mann, “Investigation of wake interaction using full-scale lidar measurements and large eddy simulation,” Wind energy, 2015. doi:10.1002/we.1936 
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  • E. Machefaux, G. C. Larsen, N. Troldborg, M. Gaunaa, and A. Rettenmeier, “Empirical modeling of single-wake advection and expansion using full-scale pulsed lidar-based measurements,” Wind energy, vol. 18, iss. 12, p. 2085–2103, 2015. doi:10.1002/we.1805 
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  • R. K. Newsom, L. K. Berg, W. J. Shaw, and M. L. Fischer, “Turbine-scale wind field measurements using dual-Doppler lidar,” Wind energy, vol. 18, iss. 2, pp. 219-235, 2015.doi:10.1002/we.1691 
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  • A. Sathe, R. Banta, L. Pauscher, K. Vogstad, D. Schlipf, and S. Wylie, "Estimating turbulence statistics and parameters from ground- and nacelle-based lidar measurements," International Energy Agency, Technical Report , 2015. 
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  • A. Sathe, J. Mann, N. Vasiljevic, and G. Lea, "A six-beam method to measure turbulence statistics using ground-based wind lidars," Atmospheric measurement techniques, vol. 8, iss. 2, pp. 729-740, 2015. doi:10.5194/amt-8-729-2015 
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  • D. Schlipf, E. Simley, F. Lemmer, L. Pao, and P. W. Cheng, "Collective pitch feedforward control of floating wind turbines using lidar," Journal of ocean and wind energy, vol. 2, iss. 4, pp. 223-230, 2015. doi:10.17736/jowe.2015.arr04 
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  • D. Schlipf, P. Fleming, S. Raach, A. Scholbrock, F. Haizmann, R. Krishnamurthy, M. Boquet, A. Wright, and P. W. Cheng, "An adaptive data processing technique for lidar-assisted control to bridge the gap between lidar systems and wind turbines," in Proceedings of the european wind energy association annual event, Paris, France, 2015. doi:10.18419/opus-8419 
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  • D. Schlipf, F. Haizmann, N. Cosack, T. Siebers, and P. W. Cheng, "Detection of wind evolution and lidar trajectory optimization for lidar-assisted wind turbine control," Meteorologische zeitschrift, vol. 24, iss. 6, pp. 565-579, 2015. doi:10.1127/metz/2015/0634 
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  • E. Simley, "Wind speed preview measurement and estimation for feedforward control of wind turbines," PhD Thesis, 2015. 
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  • L. Vollmer, M. van Dooren, D. Trabucchi, J. Schneemann, G. Steinfeld, B. Witha, J. Trujillo, and M. Kühn, "First comparison of les of an offshore wind turbine wake with dual-doppler lidar measurements in a german offshore wind farm," Journal of physics: conference series, vol. 625, iss. 1, p. 012001–012001, 2015. doi:10.1088/1742-6596/625/1/012001 
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  • H. Wang, R. J. Barthelmie, A. Clifton, and S. C. Pryor, "Wind measurements from arc scans with doppler wind lidar," Journal of atmospheric and oceanic technology, vol. 32, iss. 11, pp. 2024-2040, 2015. doi:10.1175/JTECH-D-14-00059.1 
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2014

  • M. L. Aitken, R. M. Banta, Y. L. Pichugina, and J. K. Lundquist, "Quantifying wind turbine wake characteristics from scanning remote sensor data," Journal of atmospheric and oceanic technology, vol. 31, iss. 4, pp. 765-787, 2014. doi:10.1175/JTECH-D-13-00104.1 
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  • E. Bossanyi, A. Kumar, and O. Hugues-Salas, "Wind turbine control applications of turbine-mounted lidar," Journal of physics: conference series, vol. 555, iss. 1, p. 12011, 2014.doi:10.1088/1742-6596/555/1/012011 
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  • C. L. Bottasso, P. Pizzinelli, C. E. D. Riboldi, and L. Tasca, "Lidar-enabled model predictive control of wind turbines with real-time capabilities," Renewable energy, vol. 71, pp. 442-452, 2014. doi:10.1016/j.renene.2014.05.041 
    [Download PDF]
  • A. Clifton and R. Wagner, "Accounting for the effect of turbulence on wind turbine power curves," Journal of physics: conference series, vol. 524, iss. 1, p. 12109, 2014.doi:10.1088/1742-6596/524/1/012109 
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  • F. Dunne, L. Y. Pao, D. Schlipf, and A. K. Scholbrock, "Importance of lidar measurement timing accuracy for wind turbine control," in Proceedings of the american control conference, Portland, USA, 2014. doi:10.1109/ACC.2014.6859337 
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  • P. A. Fleming, A. K. Scholbrock, A. Jehu, S. Davoust, E. Osler, A. D. Wright, and A. Clifton, "Field-test results using a nacelle-mounted lidar for improving wind turbine power capture by reducing yaw misalignment," Journal of physics: conference series, vol. 524, iss. 1, p. 12002, 2014. doi:10.1088/1742-6596/524/1/012002 
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  • G. V. Iungo and F. Porté-Agel, "Volumetric scans of wind turbine wakes performed with three simultaneous wind lidars under different atmospheric stability regimes," Journal of physics: conference series, vol. 524, iss. 1, p. 12164, 2014. doi:10.1088/1742-6596/524/1/012164 
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  • K. A. Kragh, M. H. Hansen, and L. C. Henriksen, "Sensor comparison study for load alleviating wind turbine pitch control," Wind energy, vol. 17, iss. 12, p. 1891–1904, 2014.doi:10.1002/we.1675 
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  • V. Kumer, J. Reuder, and B. R. Furevik, "A comparison of lidar and radiosonde wind measurements," Energy procedia, vol. 53, pp. 214-220, 2014. doi:10.1016/j.egypro.2014.07.230 
    [Download PDF]
  • S. Raach, D. Schlipf, F. Haizmann, and P. W. Cheng, "Three dimensional dynamic model based wind field reconstruction from lidar data," Journal of physics: conference series, vol. 524, iss. 1, p. 12005, 2014. doi:10.1088/1742-6596/524/1/012005 
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  • A. Rettenmeier, D. Schlipf, I. Würth, and P. W. Cheng, "Power performance measurements of the nrel cart-2 wind turbine using a nacelle-based lidar scanner," Journal of atmospheric and oceanic technology, vol. 31, iss. 10, pp. 2029-2034, 2014. doi:10.1175/JTECH-D-13-00154.1 
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  • D. Schlipf, P. Fleming, F. Haizmann, A. Scholbrock, M. Hofsäß, A. Wright, and P. W. Cheng, "Field testing of feedforward collective pitch control on the CART2 using a nacelle-based lidar scanner," Journal of physics: conference series, vol. 555, iss. 1, p. 12090, 2014. doi:10.1088/1742-6596/555/1/012090 
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  • D. Schlipf and P. W. Cheng, "Flatness-based feedforward control of wind turbines using lidar," in Proceedings of the 19th world congress of the international federation of automatic control, Cape Town, South Africa, 2014. doi:10.3182/20140824-6-ZA-1003.00443 
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  • E. Simley, L. Y. Pao, P. Gebraad, and M. Churchfield, "Investigation of the impact of the upstream induction zone on lidar measurement accuracy for wind turbine control applications using large-eddy simulation," Journal of physics: conference series, vol. 524, iss. 1, p. 12003, 2014. doi:10.1088/1742-6596/524/1/012003 
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  • E. Simley, L. Y. Pao, R. Frehlich, B. Jonkman, and N. Kelley, "Analysis of light detection and ranging wind speed measurements for wind turbine control," Wind energy, vol. 17, iss. 3, p. 413–433, 2014. doi:10.1002/we.1584 
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  • D. Trabucchi, J. Trujillo, J. Schneemann, M. Bitter, and M. Kühn, "Application of staring lidars to study the dynamics of wind turbine wakes," Meteorologische zeitschrift, vol. 24, iss. 6, pp. 557-564, 2014. doi:10.1127/metz/2014/0610 
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  • N. Vasiljevic, "A time-space synchronization of coherent doppler scanning lidars for 3d measurements of wind fields," Technical University of Denmark, Ph.D. Thesis PhD-0027 (EN), 2014. 
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  • R. Wagner, B. Cañadillas, A. Clifton, S. Feeney, N. Nygaard, M. Poodt, S. C. Martin, E. Tüxen, and J. Wagenaar, "Rotor equivalent wind speed for power curve measurement: comparative exercise for iea wind annex 32," Journal of physics: conference series, vol. 524, iss. 1, p. 12108, 2014. doi:10.1088/1742-6596/524/1/012108 
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  • N. Wang, K. E. Johnson, A. D. Wright, and C. E. Carcangiu, "Lidar-assisted wind turbine feedforward torque controller design below rated," in Proceedings of the american control conference, Portland, OR, USA, 2014. doi:10.1109/ACC.2014.6859039 
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2013

  • M. Asimakopoulos, P. Clive, G. More, and R. Boddington, "Offshore compression zone measurement and visualisation," in Proceedings of the european wind energy association annual event, Barcelona, Spain, 2013. 
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  • J. Berg, J. Mann, and E. Patton, "Lidar-Observed stress vectors and veer in the atmospheric boundary layer," Journal of atmospheric and oceanic technology, vol. 30, iss. 9, pp. 1961-1969, 2013. doi:10.1175/JTECH-D-12-00266.1 
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  • E. Bossanyi, "Un-freezing the turbulence: application to lidar-assisted wind turbine control," Iet renewable power generation, vol. 7, iss. 4, pp. 321-329, 2013. doi:10.1049/iet-rpg.2012.0260 
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  • A. Clifton, D. Elliott, and M. Courtney., "Iea wind rp 15. ground-based vertically-profyling remote sensing for wind resource assessment," IEA wind, RP 15, 2013. 
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  • F. Dunne and L. Y. Pao, "Benefit of wind turbine preview control as a function of measurement coherence and preview time," in Proceedings of the american control conference, Washington, DC, USA, 2013. doi:10.1109/ACC.2013.6579910 
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  • I. Elorza, M. Iribas, and E. Miranda, "On the feasibility and limits of extreme load reduction for wind turbines via advanced sensing: a lidar case study," in Proceedings of the american control conference, Washington, DC, USA, 2013. doi:10.1109/ACC.2013.6580038 
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  • B. D. Hirth and J. L. Schroeder, "Documenting wind speed and power deficits behind a utility-scale wind turbine," Journal of applied meteorology and climatology, vol. 52, iss. 1, pp. 39-46, 2013. doi:10.1175/JAMC-D-12-0145.1 
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  • G. V. Iungo, Y. Wu, and F. Porté-Agel, "Field measurements of wind turbine wakes with lidars," Journal of atmospheric and oceanic technology, vol. 30, iss. 2, p. 274–287, 2013.doi:10.1175/JTECH-D-12-00051.1 
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  • K. A. Kragh, M. H. Hansen, and T. Mikkelsen, "Precision and shortcomings of yaw error estimation using spinner-based light detection and ranging," Wind energy, vol. 16, iss. 3, p. 353–366, 2013. doi:10.1002/we.1492 
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  • M. Kristalny, D. Madjidian, and T. Knudsen, "On using wind speed preview to reduce wind turbine tower oscillations," Control systems technology, ieee transactions on, vol. 21, iss. 4, pp. 1191-1198, 2013. doi:10.1109/TCST.2013.2261070 
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  • J. Laks, E. Simley, and L. Y. Pao, "A spectral model for evaluating the effect of wind evolution on wind turbine preview control," in Proceedings of the american control conference, Washington, DC, USA, 2013. doi:10.1109/ACC.2013.6580400 
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  • T. Mikkelsen, N. Angelou, K. Hansen, M. Sjöholm, M. Harris, C. Sliner, P. Hadley, R. Scullion, G. Ellis, and G. Vives, "A spinner-integrated wind lidar for enhanced wind turbine control," Wind energy, vol. 16, iss. 4, p. 625–643, 2013. doi:10.1002/we.1564 
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  • M. Mirzaei, M. Soltani, N. K. Poulsen, and H. H. Niemann, "Model predictive control of wind turbines using uncertain lidar measurements," in Proceedings of the american control conference, Washington, DC, USA, 2013. doi:10.1109/ACC.2013.6580167 
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  • A. Peña, C. B. Hasager, J. Lange, J. Anger, M. Badger, F. Bingöl, O. Bischoff, J. Cariou, F. Dunne, S. Emeis, M. Harris, M. Hofsäss, I. Karagali, J. Laks, S. E. Larsen, J. Mann, T. Mikkelsen, L. Y. Pao, M. Pitter, A. Rettenmeier, A. Sathe, F. Scanzani, D. Schlipf, E. Simley, C. Slinger, R. Wagner, and I. Würth, "Remote sensing for wind energy," DTU Wind Energy, E-Report 0029(EN), 2013. 
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  • M. E. Rhodes and J. K. Lundquist, "The effect of wind-turbine wakes on summertime us midwest atmospheric wind profiles as observed with ground-based doppler lidar," Boundary-layer meteorology, vol. 149, iss. 1, p. 85–103, 2013. doi:10.1007/s10546-013-9834-x 
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  • A. Sathe and J. Mann, "A review of turbulence measurements using ground-based wind lidars," Atmospheric measurement techniques, vol. 6, iss. 11, p. 3147–3167, 2013.doi:10.5194/amt-6-3147-2013 
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  • D. Schlipf, D. J. Schlipf, and M. Kühn, "Nonlinear model predictive control of wind turbines using LIDAR," Wind energy, vol. 16, iss. 7, pp. 1107-1129, 2013. doi:10.1002/we.1533 
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  • D. Schlipf, J. Mann, and P. W. Cheng, "Model of the correlation between lidar systems and wind turbines for lidar assisted control," Journal of atmospheric and oceanic technology, vol. 30, iss. 10, pp. 2233-2240, 2013. doi:10.1175/JTECH-D-13-00077.1 
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  • D. Schlipf, P. Fleming, S. Kapp, A. Scholbrock, F. Haizmann, F. Belen, A. Wright, and P. W. Cheng, "Direct speed control using lidar and turbine data," in Proceedings of the american control conference, Washington, DC, USA, 2013. doi:10.1109/ACC.2013.6580163 
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  • D. Schlipf and P. W. Cheng, "Adaptive feed forward control for wind turbines," At - automatisierungstechnik, vol. 61, iss. 5, pp. 329-338, 2013. doi:10.1524/auto.2013.0029 
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  • A. Scholbrock, P. Fleming, A. Wright, C. Slinger, J. Medley, and M. Harris, "Field test results from lidar measured yaw control for improved yaw alignment with the NREL controls advanced research turbine," in Proceedings of the 33rd wind energy symposium aiaa scitech conference, Kissimmee, USA, 2013. doi:10.2514/6.2015-1209 
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  • A. Scholbrock, P. Fleming, L. Fingersh, A. Wright, D. Schlipf, F. Haizmann, and F. Belen, "Field testing LIDAR based feed-forward controls on the NREL controls advanced research turbine," in Proceedings of the 51st aiaa aerospace sciences meeting including the new horizons forum and aerospace exposition, Dallas, USA, 2013. doi:10.2514/6.2013-818 
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  • E. Simley and L. Y. Pao, "Reducing lidar wind speed measurement error with optimal filtering," in Proceedings of the american control conference, Washington, DC, USA, 2013.doi:10.1109/ACC.2013.6579906 
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  • E. Simley and L. Y. Pao, "Correlation between rotating LIDAR measurements and blade effective wind speed," in Proceedings of the 51st aiaa aerospace sciences meeting including the new horizons forum and aerospace exposition, Dallas, USA, 2013. doi:10.2514/6.2013-749 
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  • C. Slinger, M. Leak, M. Pitter, and M. Harris, "Relative power curve measurements using turbine mounted, continuous-wave lidar," in Proceedings of the european wind energy association annual event, Vienna, Austria, 2013. 
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  • I. N. Smalikho, V. A. Banakh, Y. L. Pichugina, W. A. Brewer, R. M. Banta, J. K. Lundquist, and N. D. Kelley, "Lidar investigation of atmosphere effect on a wind turbine wake," J. atmos. oceanic technol., vol. 30, iss. 11, p. 2554–2570, 2013. doi:10.1175/JTECH-D-12-00108.1 
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  • N. Wang, K. E. Johnson, A. D. Wright, and C. E. Carcangiu, "LIDAR-assisted preview controllers design for a mw-scale commercial wind turbine model," in Proceedings of the conference on decision and control, Florence, Italy, 2013. doi:10.1109/CDC.2013.6760123 
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  • N. Wang, K. E. Johnson, and A. D. Wright, "Comparison of strategies for enhancing energy capture and reducing loads using lidar and feedforward control," Control systems technology, ieee transactions on, vol. 21, iss. 4, pp. 1129-1142, 2013. doi:10.1109/TCST.2013.2258670 
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2012

  • F. Dunne, D. Schlipf, L. Y. Pao, A. D. Wright, B. Jonkman, N. Kelley, and E. Simley, "Comparison of two independent lidar-based pitch control designs," in Proceedings of the 50th aiaa aerospace sciences meeting including the new horizons forum and aerospace exposition, 2012. doi:10.2514/6.2012-1151 
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  • B. D. Hirth, J. L. Schroeder, S. W. Gunter, and J. G. Guynes, "Measuring a utility-scale turbine wake using the ttuka mobile research radars," Journal of atmospheric and oceanic technology, vol. 29, iss. 6, pp. 765-771, 2012. doi:10.1175/JTECH-D-12-00039.1 
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  • S. Kapp and M. Kühn, "A five-parameter wind field estimation method based on spherical upwind lidar measurements," in Proceedings of the science of making torque from wind, Oldenburg, Germany, 2012. doi:10.1088/1742-6596/555/1/012112 
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  • D. Schlipf, A. Rettenmeier, F. Haizmann, M. Hofsäß, M. Courtney, and P. W. Cheng, "Model based wind vector field reconstruction from lidar data," in Proceedings of the german wind energy conference DEWEK, Bremen, Germany, 2012. doi:10.18419/opus-8136 
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  • D. Schlipf, L. Y. Pao, and P. W. Cheng, "Comparison of feedforward and model predictive control of wind turbines using LIDAR," in Proceedings of the conference on decision and control, Maui, USA, 2012. doi:10.1109/CDC.2012.6426063 
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  • E. Simley, L. Y. Pao, N. Kelley, B. Jonkman, and R. Frehlich, "LIDAR wind speed measurements of evolving wind fields," in Proceedings of the 50th aiaa aerospace sciences meeting including the new horizons forum and aerospace exposition, Nashville, USA, 2012. doi:10.2514/6.2012-656 
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  • N. Wang, K. E. Johnson, and A. D. Wright, "Fx-rls-based feedforward control for lidar-enabled wind turbine load mitigation," Control systems technology, ieee transactions on, vol. 20, iss. 5, pp. 1212-1222, 2012. doi:10.1109/TCST.2011.2163515 
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