Wind field reconstruction from nacelle-mounted lidar short-range measurements

Wind Energy Science

Volumn 2, Issue 1, 2017, Pages 269-283

  Borraccino, Antoine ^a   Schlipf, David ^b   Haizmann, Florian ^b   Wagner, Rozenn ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANEMOMETERS; WIND SPEED;

LIDAR MEASUREMENTS; LIDAR SYSTEMS; LONGITUDINAL GRADIENTS; RANGE MEASUREMENTS; RAW MEASUREMENTS; VERTICAL GRADIENTS; WIND FIELD CHARACTERISTICS; WIND FIELD RECONSTRUCTION; WIND SHEARS; WIND SPEED;

OPTICAL RADAR;

EID: 85044198249     PISSN: 23667443     EISSN: 23667451     Source Type: Journal    
DOI: 10.5194/wes-2-269-2017     Document Type: Article

References (28)

1. Angelou, N., Mann, J., Sjöholm, M., Courtney, M.: Direct measurement of the spectral transfer function of a laser based anemometer, Rev. Sci. Instrum., 83, 033111, doi:10.1063/1.3697728, 2012.
2. Borraccino, A., Courtney, M.: Calibration report for ZephIR Dual Mode lidar (unit 351), Tech. Rep., DTU Wind Energy, Denmark, http://orbit.dtu.dk/files/123699869/Calibration-report-for-ZephIR.pdf, 2016a.
3. Borraccino, A., Courtney, M.: Calibration report for Avent 5-beam Demonstrator lidar, Tech. Rep., DTU Wind Energy, Denmark, http://orbit.dtu.dk/files/123699807/Calibration-report-for-Avent.pdf, 2016b.
4. Borraccino, A., Courtney, M., Wagner, R.: Generic Methodology for Field Calibration of Nacelle-BasedWind Lidars, Remote Sens., 8, 907 pp., doi:10.3390/rs8110907, 2016.
5. Branlard, E., Gaunaa, M.: Cylindrical vortex wake model: Right cylinder, Wind Energy, 18, 1973-1987, doi:10.1002/we.1800, 2015.
6. Forsting, A. R. M., Bechmann, A., Troldborg, N.: A numerical study on the flow upstream of a wind turbine in complex terrain, J. Phys. Conf. Ser., 753, 032041, doi:10.1088/1742-6596/753/3/032041, 2016.
7. Hardesty, R. M., Weber, B. F.: Lidar Measurement of Turbulence Encountered by Horizontal-Axis Wind Turbines, J. Atmos. Ocean. Tech., 4, 191-203, doi:10.1175/1520-0426(1987)0040191:lmoteb2.0.co;2, 1987.
8. Högström, U.: Non-dimensional wind and temperature profiles in the atmospheric surface layer: A re-evaluation, Bound.-Lay. Meteorol., 42, 55-78, doi:10.1007/BF00119875, 1988.
9. Holtslag, M. C., Bierbooms, W. A. A. M., van Bussel, G. J. W.: Estimating atmospheric stability from observations and correcting wind shear models accordingly, J. Phys. Conf. Ser., 555, 012052, doi:10.1088/1742-6596/555/1/012052, 2014.
10. IEC: IEC 61400-12-1 FDIS, Power performance measurements of electricity producing wind turbines, IEC, 2016.
11. Marquardt, D. W.: An Algorithm for Least-Squares Estimation of Nonlinear Parameters, J. Soc. Ind. Appl. Math., 11, 431-441, doi:10.1137/0111030, 1963.
12. Mazoyer P., B. M.: Retrieving wind speed at constant height above ground level in complex terrain with a Wind Iris 4-beam nacelle Lidar, in: Wind Europe Summit 2016, https://windeurope.org/summit2016/conference/allposters/PO263.pdf, 2016.
13. Medici, D., Ivanell, S., Dahlberg, J., Alfredsson, P. H.: The upstream flow of a wind turbine: Blockage effect, Wind Energy, 14, 691-697, doi:10.1002/we.451, 2011.
14. Medley, J., Barker, W., Harris, M., Pitter, M., Slinger, C., Mikkelsen, T., Sjöholm, M.: Evaluation of wind flow with a nacelle-mounted, continuous wave wind lidar, in: EWEA 2014 conference, http://www.zephirlidar.com/wp-content/uploads/2014/09/PO162-Full-Paper-Submitted.pdf, 2014.
15. Penã, A., Floors, R., Sathe, A., Gryning, S.-E., Wagner, R., Courtney, M. S., Larsén, X. G., Hahmann, A. N., Hasager, C. B.: Ten Years of Boundary-Layer and Wind-Power Meteorology at Høvsøre, Denmark, Bound.-Lay. Meteorol., 158, 1-26, doi:10.1007/s10546-015-0079-8, 2016.
16. Raach, S., Schlipf, D., Haizmann, F., Cheng, P. W.: Three Dimensional Dynamic Model Based Wind Field Reconstruction from Lidar Data, J. Phys. Conf. Ser., 524, 012005, doi:10.1088/1742-6596/524/1/012005, 2014.
17. Sathe, A., Mann, J., Gottschall, J., Courtney, M. S.: Can Wind Lidars Measure Turbulence?, J. Atmos. Ocean. Tech., 28, 853-868, doi:10.1175/JTECH-D-10-05004.1, 2011.
18. Schlipf, D.: Lidar-assisted control concepts for wind turbines, Ph.D. thesis, Institute of Aircraft Design, University of Stuttgart, doi:10.18419/opus-8796, 2016.
19. Schlipf, D., Rettenmeier, A., Haizmann, F., Hofsäß, M., Courtney, M., Cheng, P. W.: Model Based Wind Vector Field Reconstruction from Lidar Data, in: Proceedings of the German Wind Energy Conference DEWEK, Bremen, Germany, 2012.
20. Schlipf, D., Simley, E., Lemmer, F., Pao, L., Cheng, P. W.: Collective Pitch Feedforward Control of FloatingWind Turbines Using Lidar, Journal of Ocean and Wind Energy, 2, 223-230, doi:10.17736/jowe.2015.arr04, 2015.
21. Simley, E., Angelou, N., Mikkelsen, T., Sjöholm, M., Mann, J., Pao, L. Y.: Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars, J. Renewable Sustainable Energy, 8, 013301, doi:10.1063/1.4940025, 2016.
22. Sørensen, J. N.: General Momentum Theory for Horizontal Axis Wind Turbines, vol. 4 of Research Topics in Wind Energy, Springer International Publishing, SSN: 2196-7806, doi:10.1007/978-3-319-22114-4, 2016.
23. Towers, P., Jones, B. L.: Real-time wind field reconstruction from LiDAR measurements using a dynamic wind model and state estimation, Wind Energy, 19, 133-150, doi:10.1002/we.1824, 2016.
24. Troldborg, N., Meyer Forsting, A.: Simulations of wind turbine induction in uniform inflow, Wind Energy, submitted, 2017.
25. Vasiljevic, N., Lea, G., Courtney, M., Cariou, J.-P., Mann, J., Mikkelsen, T.: Long-Range WindScanner System, Remote Sens., 8, 896, doi:10.3390/rs8110896, 2016.
26. Vignaroli, A., Kock, C.: UniTTe MC2 Nårrekær Enge Measurement System & Calibration report, DTUWind Energy, Denmark, 2016.
27. Wagner, R., Davoust, S.: Nacelle lidar for power curve measurement-Avedøre campaign, Tech. rep., DTU Wind Energy, Denmark, http://findit.dtu.dk/en/catalog/2185764001, projektno.: EUDP: Nacelle lidar for power performance measurement (journal no. 64009-0273), 2013.
28. Wagner, R., Pedersen, T., Courtney, M., Antoniou, I., Davoust, S., Rivera, R.: Power curve measurement with a nacelle mounted lidar, Wind Energy, 17, 1441-1453, doi:10.1002/we.1643, 2014.