Perdigaõ 2015: Methodology for atmospheric multi-Doppler lidar experiments

Atmospheric Measurement Techniques

Volumn 10, Issue 9, 2017, Pages 3463-3483

  Vasiljevia, Nikola ^a   Palma, José M L M ^b   Angelou, Nikolas ^a   Matos, José Carlos ^c   Menke, Robert ^a   Lea, Guillaume ^a   Mann, Jakob ^a   Courtney, Michael ^a   Frölen Ribeiro, Luis ^c,d   Gomes, Vitor M M G C ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF PORTO   (Portugal)

^d INSTITUTO POLITÉCNICO DE BRAGANÇA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

DOPPLER LIDAR; EXPERIMENTAL STUDY; MAPPING; METHODOLOGY; SCANNER; SITE SELECTION; TURBULENT FLOW; WIND FARM; WIND TURBINE;

PORTUGAL;

EID: 85029953871     PISSN: 18671381     EISSN: 18678548     Source Type: Journal    
DOI: 10.5194/amt-10-3463-2017     Document Type: Article

References (62)

1. Berg, J., Vasiljevíc, N., Kelly, M., Lea, G., Courtney, M.: Addressing Spatial Variability of Surface-Layer Wind with Long-Range WindScanners, J. Atmos. Ocean. Tech., 32, 518-527, https://doi.org/10.1175/JTECH-D-14-00123.1, 2015.
2. Bingöl, F., Mann, J., Foussekis, D.: Conically scanning lidar error in complex terrain, Meteorol. Z., 18, 189-195, 2009.
3. Browning, K. A. and Wexler, R.: The Determination of Kinematic Properties of a Wind Field Using Doppler Radar, J. Appl. Meteorol., 7, 105-113, 1968.
4. Cariou, J.-P. and Boquet, M.: Leosphere Pulsed Lidar Principles, Tech. rep., UpWind, 2011.
5. Castro, F. A., Palma, J. M. L. M., Lopes, A. S.: Simulation of the Askervein Flow. Part 1: Reynolds Averaged Navier-Stokes Equations (k " Turbulence Model), Bound.-Lay. Meteorol., 107, 501-530, https://doi.org/10.1023/A:1022818327584, 2003.
6. Collier, C. G., Davies, F., Bozier, K. E., Holt, A. R., Middleton, D. R., Pearson, G. N., Siemen, S., Willetts, D. V., Upton, G. J. G., Young, R. I.: Dual-Doppler Lidar Measurements for Improving Dispersion Models, B. Am. Meteorol. Soc., 86, 825-838, 2005.
7. Courtney, M., Wagner, R., Lindelöw, P.: Testing and comparison of lidars for profile and turbulence measurements in wind energy, IOP Conference Series: Earth and Environmental Science, 1, U172-U185, 2008.
8. Debnath, M., Iungo, G. V., Ashton, R., Brewer, W. A., Choukulkar, A., Delgado, R., Lundquist, J. K., Shaw, W. J., Wilczak, J. M., Wolfe, D.: Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans, Atmos. Meas. Tech., 10, 431-444, https://doi.org/10.5194/amt-10-431-2017, 2017.
9. Delta Tau: Motion and Control Ring Optical Ring, available at: Http://www.macro.org, last access: 5 September 2017.
10. EUREF: European Terrestrial Reference System 89 (ETRS89), available at: Http://etrs89.ensg.ign.fr (last access: 5 September 2017), 2016.
11. EWEA: Prioritising Wind Energy Research: Strategic Research Agenda of theWind Energy Sector, Tech. rep., EWEA-European Wind Energy Association, 2005.
12. EWEA: Strategic Research Agenda and Market Deployment Strategy, From 2008 to 2030, Tech. rep., TPWind EuropeanWind Energy Technology Platform/European Wind Energy Association, 2008.
13. Fernando, H., Lundquist, J., Oncley, S.: Monitoring wind in Portugal's mountains down to microscales, EOS, 98, https://doi.org/10.1029/2017EO074745, 2017.
14. Floors, R., Penã, A., Lea, G., Vasiljevíc, N., Simon, E., Courtney, M.: The RUNE Experiment-A Database of Remote-Sensing Observations of Near-Shore Winds, Remote Sensing, 8, 2016.
15. Fuertes, F. C., Iungo, G. V., Porté-Agel, F.: 3D Turbulence Measurements Using Three Synchronous Wind Lidars: Validation against Sonic Anemometry, J. Atmos. Ocean. Tech., 31, 1549-1556, https://doi.org/10.1175/JTECH-D-13-00206.1, 2014.
16. Gomes, V.: The Wind Flow over Serra do Perdigaõ. Computational preliminary studies, Tech. Rep. CESA2010.VCG03.A, CEsA-Centre for Wind Energy and Atmospheric Flows, Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias s/n, 4200-465 Porto, Portugal, 2011.
17. Grubišíc, V., Doyle, J. D., Kuettner, J., Dirks, R., Cohn, S. A., Pan, L. L., Mobbs, S., Smith, R. B., Whiteman, C. D., Czyzyk, S., Vosper, S., Weissmann, M., Haimov, S., Wekker, S. F. J. D., Chow, F. K.: The Terrain-Induced Rotor Experiment, B. Am. Meteorol. Soc., 89, 1513-1533, https://doi.org/10.1175/2008BAMS2487.1, 2008.
18. Hansen, K., Larsen, G., Menke, R., Vasiljevíc, N., Angelou, N., Feng, J., Zhu, W., Vignaroli, A., Liu, W., Xu, C., Shen, W.: Wind turbine wake measurement in complex terrain, Journal of Physics: Conference Series, 753, 032013, available at: Http://stacks.iop.org/1742-6596/753/i=3/a=032013 (last access: 5 September 2017), 2016.
19. Immas, A., Kluczewska-Bordier, J., Beneditti, P., Pitance, D., Horb, S., Parneix, N., Silvert, F., Deglaire, P., de Jouette, C., Sjöholm, M., Angelou, N., Hansen, K., Mikkelsen, T.: Study of largescale vertical axis wind turbine wake through numerical modelling and fullscale experiments, in: EWEA Annual Conference and Exhibition 2015, Paris, France, 2015.
20. INEGI: Perdigaõ's Wind Farm , Wind farm study, INEGI, 2005 (in Portuguese).
21. Iungo, G. V., Wu, Y.-T., Porté-Agel, F.: Field Measurements of Wind Turbine Wakes with Lidars, J. Atmos. Ocean. Tech., 30, 274-287, https://doi.org/10.1175/JTECH-D-12-00051.1, 2013.
22. Jackson, P. S. and Hunt, J. C. R.: Turbulent wind flow over a low hill, Q. J. Roy. Meteorol. Soc., 101, 929-955, https://doi.org/10.1002/qj.49710143015, 1975.
23. Lange, J., Mann, J., Angelou, N., Berg, J., Sjöholm, M., Mikkelsen, T.: Variations of the Wake Height over the Bolund Escarpment Measured by a Scanning Lidar, Bound.-Lay. Meteorol., 159, 147-159, https://doi.org/10.1007/s10546-015-0107-8, 2016.
24. Lundquist, J. K., Wilczak, J. M., Ashton, R., Bianco, L., Brewer, W. A., Choukulkar, A., Clifton, A., Debnath, M., Delgado, R., Friedrich, K., Gunter, S., Hamidi, A., Iungo, G. V., Kaushik, A., Kosovíc, B., Langan, P., Lass, A., Lavin, E., Lee, J. C.-Y., McCaffrey, K. L., Newsom, R. K., Noone, D. C., Oncley, S. P., Quelet, P. T., Sandberg, S. P., Schroeder, J. L., Shaw, W. J., Sparling, L., Martin, C. S., Pe, A. S., Strobach, E., Tay, K., Vanderwende, B. J., Weickmann, A., Wolfe, D., Worsnop, R.: Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign, B. Am. Meteorol. Soc., 98, 289-314, https://doi.org/10.1175/BAMS-D-15-00151.1, 2017.
25. Mann, J., Cariou, J.-P., Courtney, M. S., Parmentier, R., Mikkelsen, T., Wagner, R., Lindelöw, P., Sjöholm, M., Enevoldsen, K.: Comparison of 3D turbulence measurements using three staring wind lidars and a sonic anemometer, Meteorol. Z., 18, 135-140, 2009.
26. Mann, J., Palma, J., Matos, J. C., Angelou, N., Courtney, M., Lea, G., Vasiljevíc, N.: Experimental investigation of flow over a double ridge with several Doppler lidar systems, in: 96th American Meteorological Society Annual Meeting, January 2016, New Orleans, LA, available at: Https://ams.confex.com/ams/96Annual/webprogram/Paper284781.html, recorded presentation at https://ams.confex.com/ams/96Annual/videogateway.cgi/id/31860recordingid=31860&uniqueid=Paper284781&entry-password=858263 (last access: 5 September 2017), 2016.
27. Mann, J., Angelou, N., Arnqvist, J., Callies, D., Cantero, E., Arroyo, R. C., Courtney, M., Cuxart, J., Dellwik, E., Gottschall, J., Ivanell, S., Kühn, P., Lea, G., Matos, J. C., Palma, J. M. L. M., Pauscher, L., Penã, A., Rodrigo, J. S., Söderberg, S., Vasiljevic, N., Rodrigues, C. V.: Complex terrain experiments in the New European Wind Atlas, Philos. T. R. Soc. Lond. A, 375, 2091, https://doi.org/10.1098/rsta.2016.0101, 2017.
28. McCarthy, J., Wilson, J. W., Fujita, T. T.: The Joint Airport Weather Studies Project, B. Am. Meteorol. Soc., 63, p. 15, 1982.
29. Meyer Forsting, A., Troldborg, N., Bechmann, A., Angelou, N., Vasiljevíc, N.: Validation of a CFD model with a triplelidar system upstream of a wind turbine in complex terrain, in: ECCOMAS Congress 2016, Hersonissos (Greece), 5-10 June, available at: Http://orbit.dtu.dk/files/124220216/Eccomas2016. pdf (last access: 5 September 2017) 2016
30. Mikkelsen, T.: Lidar-based Research and Innovation at DTU Wind Energy-a Review, Journal of Physics: Conference Series, 524, 012007, available at: Http://stacks.iop.org/1742-6596/524/i=1/a= 012007 (last access: 5 September 2017), 2014.
31. Mikkelsen, T., Mann, J., Nielsen, M.: Rotating prism scanning device and method for scanning, EP 2304489, 2011.
32. Mortensen, N. G., Landberg, L., Troen, I., Petersen, E. L., Rathmann, O., Nielsen, M.: WAsP Utility Programs, Tech. Rep. Risø-R-995(EN), Risø National Laboratory, Roskilde, Denmark, available at: Http://orbit.dtu.dk/files/106312446/ris-i-2261.pdf (last access: 5 September 2017), 2004.
33. Newman, J. F., Bonin, T. A., Klein, P. M., Wharton, S., Newsom, R. K.: Testing and validation of multi-lidar scanning strategies for wind energy applications, Wind Energy, 19, 2239-2254, https://doi.org/10.1002/we.1978, 2016.
34. Newsom, R., Ligon, D., Calhoun, R., Heap, R., Cregan, E., Princevac, M.: Retrieval of Microscale Wind and Temperature Fields from Single-A nd Dual-Doppler Lidar Data, J. Appl. Meteorol., 44, 1324-1345, https://doi.org/10.1175/JAM2280.1, 2005.
35. Newsom, R. K., Berg, L. K., Shaw, W. J., Fischer, M. L.: Turbine-scale wind field measurements using dual-Doppler lidar, Wind Energy, 18, 219-235, https://doi.org/10.1002/we.1691, 2015.
36. Palma, J., Castro, F., Ribeiro, L., Rodrigues, A., Pinto, A.: Linear and nonlinear models in wind resource assessment and wind turbine micro-siting in complex terrain, J. Wind Eng. Ind. Aerod., 96, 2308-2326, https://doi.org/10.1016/j.jweia.2008.03.012, 2008.
37. Pauscher, L., Vasiljevíc, N., Callies, D., Lea, G., Mann, J., Klaas, T., Hieronimus, J., Gottschall, J., Schwesig, A., Kühn, M., Courtney, M.: An Inter-Comparison Study of Multi-A nd DBS Lidar Measurements in Complex Terrain, Remote Sensing, 8, 782, https://doi.org/10.3390/rs8090782, 2016.
38. Penã Diaz, A., Hasager, C., Gryning, S.-E., Courtney, M., Antoniou, I., Mikkelsen, T.: Offshore wind profiling using light detection and ranging measurements, Wind Energy, 12, 105-124, 2009.
39. Rodrigues, C. V., Palma, J., Vasiljevíc, N., Courtney, M., Mann, J.: Coupled simulations and comparison with multilidar measurements of the wind flow over a double-ridge, Journal of Physics: Conference Series, 753, 032025, available at: Http://stacks.iop.org/1742-6596/753/i=3/a=032025 (last access: 5 September 2017), 2016.
40. Shaw, W. J., Lundquist, J. K., Schreck, S. J.: Research Needs ForWind Resource Characterization, B. Am. Meteorol. Soc., 90, 535-538, https://doi.org/10.1175/2008BAMS2729.1, 2009.
41. 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, Journal of Renewable and Sustainable Energy, 8, 013301, https://doi.org/10.1063/1.4940025, 2016.
42. Sjöholm, M., Angelou, N., Hansen, P., Hansen, K. H., Mikkelsen, T., Haga, S., Silgjerd, J. A., Starsmore, N.: Two-Dimensional Rotorcraft Downwash Flow Field Measurements by Lidar-Based Wind Scanners with Agile Beam Steering, J. Atmos. Ocean. Tech., 31, 930-937, https://doi.org/10.1175/JTECH-D-13-00010.1, 2014.
43. Strauch, R. G., Weber, B. L., Frisch, A. S., Little, C. G., Merritt, D. A., Moran, K. P., Welsh, D. C.: The Precision and Relative Accuracy of Profiler Wind Measurements, J. Atmos. Ocean. Tech., 4, 563-571, 1987.
44. Taylor, P., Mason, P., Bradley, E.: Boundary-layer flow over low hills, Bound.-Lay. Meteorol., 39, 107-132, 1987.
45. Taylor, P. A. and Teunissen, H. W.: The Askervein Hill project: Overview and background data, Bound.-Lay. Meteorol., 39, 15-39, https://doi.org/10.1007/BF00121863, 1987.
46. van Kuik, G. A. M., Peinke, J., Nijssen, R., Lekou, D., Mann, J., Sørensen, J. N., Ferreira, C., van Wingerden, J. W., Schlipf, D., Gebraad, P., Polinder, H., Abrahamsen, A., van Bussel, G. J. W., Sørensen, J. D., Tavner, P., Bottasso, C. L., Muskulus, M., Matha, D., Lindeboom, H. J., Degraer, S., Kramer, O., Lehnhoff, S., Sonnenschein, M., Sørensen, P. E., Künneke, R. W., Morthorst, P. E., Skytte, K.: Long-term research challenges in wind energy-a research agenda by the European Academy of Wind Energy, Wind Energ. Sci., 1, 1-39, https://doi.org/10.5194/wes-1-1-2016, 2016.
47. Vasiljevíc, N.: Flickr photo gallery of Perdigaõ 2014 site visit, available at: Https://www.flickr.com/photos/zamjatin/sets/72157649022069345 (last access: 5 September 2017), 2014a.
48. Vasiljevíc, N.: A time-space synchronization of coherent Doppler scanning lidars for 3D measurements of wind fields, PhD thesis, Technical University of Denmark (DTU), phD-0027, 2014b.
49. Vasiljevíc, N.: Perdigaõ-2015 blog, available at: Https://perdigao-2015.tumblr.com (last access: 5 September 2017), 2015a.
50. Vasiljevíc, N.: WindScanner installation video, available at: Https://www.youtube.com/watchv=hsiZ9W4VHwo (last access: 5 September 2017), 2015b.
51. Vasiljevíc, N.: Diamond scan animation, available at: Https://www. youtube.com/watchv=g9brbIXK7F8 (last access: 5 September 2017), 2016a.
52. Vasiljevíc, N.: Diamond scan 24 H results, available at: Https://www.youtube.com/watchv=5uMdanEQ-2A (last access: 5 September 2017), 2016b
53. Vasiljevíc, N.: Ridge scan animation, available at: Https://www. youtube.com/watchv=CvnJAev69J0 (last access: 5 September 2017), 2016c.
54. Vasiljevíc, N.: Transect scan animation, available at: Https://www. youtube.com/watchv=RmLtkP2-KS4 (last access: 5 September 2017), 2016d.
55. Vasiljevíc, N.: Transect scan 24 H results, available at: Https://www. youtube.com/watchv=jaNFvtDdhQI (last access: 5 September 2017), 2016e.
56. Vasiljevíc, N. and Courtney, M.: Accuracy of dual-Doppler lidar retrievals of near-shore winds, in: WindEurope Resource Assessment Workshop, March 2017, Edinburgh, United Kingdom, available at: Http://orbit.dtu.dk/files/131412313/Submitted-Vasiljevic.pptx, last access: 5 September 2017.
57. Vasiljevíc, N., Courtney, M., Wagner, R., Mann, J., Mikkelsen, T.: A windscanner simulator, in: EWEC 2011, Bruxelles (Belgium), 14-17 March, available at: Http://orbit.dtu.dk/files/5497505/Vasiljevic-poster-EWEA2011presentation.pdf (last access: 5 September 2017), 2011.
58. Vasiljevíc, N., Lea, G., Courtney, M., Cariou, J.-P., Mann, J., Mikkelsen, T.: Long-RangeWindScanner System, Remote Sensing, 8, 896, https://doi.org/10.3390/rs8110896, 2016a.
59. Vasiljevíc, N., Lea, G., Hansen, P., Jensen, H.: Mobile network architecture of the long-range WindScanner system, Tech. Rep. E-0105, DTU Wind Energy, Roskilde, Denmark, available at: Http://orbit.dtu.dk/files/120566712/Mobile
60. Walmsley, J. L. and Taylor, P. A.: Boundary-layer flow over topography: Impacts of the Askervein study, Bound.-Lay. Meteorol., 78, 291-320, 1996.
61. Walmsley, J. L., Taylor, P. A., Keith, T.: A simple model of neutrally stratified boundary-layer flow over complex terrain with surface roughness modulation (MS3DJH/3R), Bound.-Lay. Meteorol., 36, 157-186, 1986.
62. Witze, A.: World's largest wind-mapping project spins up in Portugal, Nature, 542, 282-283, 2017.