Offshore winds mapped from satellite remote sensing

Wiley Interdisciplinary Reviews: Energy and Environment

Volumn 3, Issue 6, 2014, Pages 594-603

  Hasager, Charlotte Bay ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COASTAL ZONES; ELECTRIC UTILITIES; METEOROLOGICAL INSTRUMENTS; METEOROLOGY; OFFSHORE OIL WELL PRODUCTION; OFFSHORE TECHNOLOGY; OPTICAL RADAR; REMOTE SENSING; SATELLITES; SPACE-BASED RADAR; SYNTHETIC APERTURE RADAR; WAKES; WIND;

HIGH-RESOLUTION SAR; MESO-SCALE MODELING; METEOROLOGICAL DATA; OCEAN SURFACE WINDS; OFFSHORE WIND RESOURCES; SATELLITE REMOTE SENSING; WIND FARM CLUSTERS; WIND RESOURCE ASSESSMENT;

OFFSHORE WIND FARMS;

EID: 84916602860     PISSN: 20418396     EISSN: 2041840X     Source Type: Journal    
DOI: 10.1002/wene.123     Document Type: Article

References (47)

1. European Wind Energy Association. Available at: http://www.ewea.org/. (Accessed January 30, 2014).
2. Petersen EL, Troen I. Wind conditions and resource assessment. Wiley Interdiscip Rev Energy Environ 2012, 1:206-217. doi: 10.1002/wene.4.
3. Fichtner Group. Cost reduction potentials of offshore wind power in Germany. 2012. Available at: http://www.offshore-stiftung.com/60005/Uploaded/SOW_Download%7CEN_ShortVersion_CostReductionPotentialsofOffshoreWindPower.pdf. (Accessed Nov-ember 11, 2013).
4. Oke TR. Boundary Layer Climates. 2nd ed. London and New York: Methuen; 2001, 435 p.
5. Stull RB. An Introduction to Boundary Layer Meteorology. Dordrecht, Boston, London: Kluwer Academic Publishers; 1991, 666 p.
6. Emeis S. Wind Energy Meteorology-Atmospheric Physics for Wind Power Generation. Series 653 Green Energy and Technology. Heidelberg: Springer; 2012, XIV+196 p.
7. Beal RC, Young GS, Monaldo F, Thompson DR, Winstead NS, Schott CA. High Resolution Wind Monitoring with Wide Swath SAR: A User's Guide. Washington, DC: U.S. Department of Commerce; 2005, 1-155.
8. Gierach MM, Graber HC, Caruso MJ. SAR-derived gap jet characteristics in the lee of the Philippine Archipelago. Remote Sens Environ 2012, 117:289-300.
9. Peña A, Hasager CB, Lange J, Anger J, Badger M, Bingöl F, Bischoff O, Cariou J-P, Dunne F, Emeis S, et al. Remote Sensing for Wind Energy, No. 0029(EN). Denmark: DTU Wind Energy; 2013, 309.
10. Motta M, Barthelmie RJ, Vølund P. The influence of non-logarithmic wind speed profiles on potential power output at Danish offshore sites. Wind Energ 2005, 8:219-236. doi: 10.1002/we.146.
11. Peña A, Hahmann AN. Atmospheric stability and turbulence fluxes at Horns Rev-an intercomparison of sonic, bulk and WRF model data. Wind Energ 2012, 15:717-731.
12. Hasager CB, Peña A, Christiansen MB, Astrup P, Nielsen M, Monaldo F, Thompson DR, Nielsen P. Remote sensing observation used in offshore wind energy. IEEE J Sel Topics Appl Earth Observ Remote Sens 2008, 1:67-79.
13. Hasager CB, Stein D, Courtney M, Peña A, Mikkelsen T, Stickland M, Oldroyd A. Hub height ocean winds over the North Sea observed by the NORSEWInD lidar array: measuring techniques, quality control and data management. Remote Sens 2013, 5:4280-4303. doi: 10.3390/rs5094280.
14. Wagner R, Friis Pedersen T, Courtney M, Antoniou I, Davoust S, Rivera RL. Power curve measurement with a nacelle mounted lidar. Wind Energ 2013. doi: 10.1002/we.1643.
15. Windscanner. Available at: http://www.windscanner.eu/. (Accessed January 30, 2014).
16. Christiansen MB, Hasager CB. Using airborne and satellite SAR for wake mapping offshore. Wind Energ 2006, 9:437-455.
17. Dagestad K-F, Horstmann J, Mouche A, Perrie W, Shen H, Zhang B, Li X, Monaldo F, Pichel W, Lehner S, Badger M, Hasager CB, Furevik B, Foster RC, Falchetti S, Caruso MJ, Vachon P. Wind retrieval from synthetic aperture radar-an overview. In: Proceedings of SEASAR 2012, 4th SAR Oceanography Workshop, Tromsø, Norway, ESA SP709: 22, June 18-22, 2013.
18. Carvajal G, Eriksson LEB, Ulander LMH. Retrieval and quality assessment of wind velocity vectors on the ocean with C-band SAR. IEEE Trans Geosci Remote Sens 2013, 52:2519-2537. doi: 10.1109/TGRS.2013.2262377.
19. Mouche A, Collard F, Chapron B, Dagestad K-F, Guitton G, Johannessen JA, Kerbaol V, Hansen MW. On the use of doppler shift for sea surface wind retrieval from SAR. IEEE Trans Geosci Remote Sens 2012, 50:2901-2909. doi: 10.1109/TGRS.2011.2174998.
20. Christiansen MB, Hasager CB, Thompson DR, Monaldo F. Ocean winds from synthetic aperture radar. In: Niclos R, Caselles V, eds. Ocean Remote Sensing: Recent Techniques and Applications. Kerala, India: Research Signpost; 2008, 31-54.
21. Li X-M, Lehner S. Observation of TerraSAR-X for studies on offshore wind turbine wake in near and far fields. IEEE J Sel Topics Appl Earth Observ Remote Sens 2013, 6:1757-1768.
22. Liléo S, Berge E, Undheim O, Klinkert R, Bredesen RE. Long-term correction of wind measurements. State-of-the-art, guidelines and future work, Elforsk report, 13:18, 1-94.
23. Wentz FJ. A well calibrated ocean algorithm for special sensor microwave/imager. J Geophys Res 1997, 102:8703-8718.
24. Remote Sensing Systems. Available at: http://www.remss.com/. (Accessed January 30, 2014).
25. Jet Propulsion Laboratory PODAAC. Available at: http://podaac.jpl.nasa.gov/SSMI. (Accessed January 30, 2014).
26. Wentz FJ. SSM/I version-7 calibration report. RSS Technical Report 011012, Santa Rosa. 2013, 46. Available at: http://images.remss.com/papers/rsstech/2012_011012_Wentz_Version-7_SSMI_Calibration.pdf. (Accessed May 14, 2014).
27. Troen I, Petersen EL. European Wind Atlas. Roskilde, Denmark: Risø National Laboratory; 1989.
28. Sempreviva AM, Barthelmie RJ, Pryor SC. Review of methodologies for offshore wind resource assessment in European Seas. Surv Geophys 2008, 29:471-497.
29. Karagali I, Badger M, Hahmann A, Peña A, Hasager CB, Sempreviva AM. Spatial and temporal variability in winds in the Northern European Seas, Renew Energ 2013, 57:200-210. doi: 10.1016/j.renene.2013.01.017
30. Karagali I, Peña A, Badger M, Hasager CB. Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite. Wind Energ 2013, 17:123-140. doi: 10.1002/we.1565.
31. Furevik BR, Sempreviva AM, Cavaleri L, Lefèvre J-M, Transerici C. Eight years of wind measurements from scatterometer for wind resource mapping in the Mediterranean Sea. Wind Energ 2011, 14:355-372. doi: 10.1002/we.425.
32. Jiang D, Zhuang DF, Huang YH, Wang JH, Fu JY. Evaluating the spatio-temporal variation of China's offshore wind resources based on remotely sensed wind field data. Renew Sust Energ Rev 2013, 24:142-148.
33. Capps SB, Zender CS. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting. J Geophys Res Atmos 2010, 115. doi: 10.1029/2009JD012679.
34. Christiansen MB, Koch W, Horstmann J, Hasager CB, Nielsen M. Wind resource assessment from C-band SAR. Remote Sens Environ 2006, 105:68-81.
35. Hasager CB, Badger M, Peña A, Larsén XG. SAR-based wind resource statistics in the Baltic Sea. Remote Sens 2011, 3:117-144. doi: 10.3390/rs3010117.
36. Badger M, Badger J, Nielsen M, Hasager CB, Peña P. Wind class sampling of satellite SAR imagery for offshore wind resource mapping. J Appl Meteorol Climatol 2010, 49:2474-2491. doi: 10.1175/2010JAMC2523.1.
37. Karagali I, Larsén XG, Badger M, Peña A, Hasager CB. Spectral properties of ENVISAT ASAR and QuikSCAT surface wind fields in the North Sea. Remote Sens 2013, 5:6096-6115. doi: 10.3390/rs5116096.
38. Monaldo FM, Thompson DR, Winstead NS, Pichel WG, Clemente-Colon P, Christiansen MB. Ocean wind field mapping from synthetic aperture radar and its application to research and applied problems. Johns Hopkins Apl Tech Dig 2005, 26:102-113.
39. Badger M, Peña A, Hahmann AN, Hasager CB. Combining satellite winds and NWP modelling for wind resource mapping offshore. ESA Living Planet Symposium, Edinburgh, UK, September 9-13, 2013.
40. Barthelmie RJ, Jensen LE. Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm. Wind Energ 2010, 13:573-586. doi: 10.1002/we.408.
41. Barthelmie RJ, Hansen K, Frandsen ST, Rathmann O, Schepers JG, Schlez W, Philips J, Rados K, Zervos A, Politis ES, et al. Modelling and measuring flow and wind turbine wakes in large wind farms offshore. Wind Energ 2009, 12:431-444. doi: 10.1002/we.348.
42. Barthelmie RJ, Rathmann O, Frandsen ST, Hansen KS, Politis E, Prospathopoulos J, Rados K, Cabezón D, Schlez W, Phillips J, et al. Modelling and measurements of wakes in large wind farms. J Phys Conf Ser 2007, 75:012049.
43. Christiansen MB, Hasager CB. Wake effects of large offshore wind farms identified from satellite SAR. Remote Sens Environ 2005, 98:251-268.
44. Wolken-Moehlmann G, Gottschall J, Lange B. First verification test and wake measurements using a ship-lidar system. EERA DeepWind'2014, 11th Deep Sea Offshore Wind R&D Conference, Trondheim, Norway, January 22-24, 2014.
45. Gottschall J, Wolken-Moehlmann G, Viergutz Th, Lange B. Results and conclusions of a floating lidar test. EERA DeepWind'2014, 11th Deep Sea Offshore Wind R&D Conference, Trondheim, Norway, January 22-24, 2014.
46. ESA CCI. Available at: http://www.esa-cci.org/. (Accessed January 30, 2014).
47. Peña A, Hasager CB, Lange J, Anger J, Badger M, Bingöl F, Bischoff O, Cariou J-P, Dunne F, Emeis S, Harris M, Hofsäss M, Karagali I, Laks J, Larsen SE, Mann J, Mikkelsen T, Pao LY, Pitter M, Rettenmeier A, Sathe A, Scanzani F, Schlipf D, Simley E, Slinger C, Wagner R, Würth I. Remote Sensing for Wind Energy, No. 0029(EN). Denmark: DTU Wind Energy; 2013, 309. Available at: http://orbit.dtu.dk/en/publications/remote-sensing-for-wind-energy(132f5767-713f-4f86-b437-ea0466717924).html. (Accessed May 14, 2014).