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Reliability Assessment Unit Commitment with Uncertain Wind Power Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Satellite Remote Sensing in Offshore Wind Energy

Authors : Charlotte Bay Hasager, Merete Badger, Poul Astrup, Ioanna Karagali

Published in: Handbook of Wind Power Systems

Publisher: Springer Berlin Heidelberg

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Abstract

Satellite remote sensing of ocean surface winds are presented with focus on wind energy applications. The history on operational and research-based satellite ocean wind mapping is briefly described for passive microwave, scatterometer and synthetic aperture radar (SAR). Currently 6 GW installed capacity is found in the European Seas. The European Wind Energy Association, EWEA, expects the cumulative offshore capacity in Europe will reach 150 GW in year 2030. The offshore environment is far less well-known than over land and this increases the challenge of planning, operation and maintenance offshore. Satellite-based ocean surface wind data can fill a gap in our understanding of marine winds, their temporal and spatial variations. The statistics from satellite-based ocean surface wind maps include wind resources, long-term trend analysis and daily variations in winds. Some examples using data from passive microwave radiometer, scatterometer and SAR are presented from the North Sea and Baltic Sea. These seas are home to the majority of offshore wind farms today and many new offshore wind farm projects are in progress here.

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Literature
1.
Wentz FJ (1997) A well-calibrated ocean algorithm for SSM/I. J Geophys Res 102(C4):8703–8718CrossRef
2.
Wentz FJ, Spencer RW (1998) SSM/I rain retrievals within a unified all-weather ocean algorithm. J Atmos Sci 55:1613–1627
3.
4.
Hasager C, Mouche A, Badger M, Astrup P, Nielsen M (2009) Satellite wind in EU-Norsewind scientific proceedings of European wind energy conference and exhibition, pp 144–147, Marseille (FR) 16–19 Mar 2009
5.
6.
Charnock H (1955) Wind stress over a water surface. Q J R Meteorol Soc 81:639–640CrossRef
7.
Troen I, Petersen EL (1989) European wind atlas, Risø National Laboratory ISBN 87-550-1482-8
8.
NASA Quick Scatterometer (2006) QuikSCAT science data product, user’s manual, overview and geophysical data products. Version 3.0, Jet Propulsion Laboratory, California Institute of Technology, D-18053-Rev A, Sep 2006
9.
Liu WT, Tang W (1996) Equivalent neutral wind. National Aeronautics and Space Administration, Jet Propulsion Laboratory (US, and United States), National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology; National Aeronautics and Space Administration; National Technical Information Service, distributor
10.
Ebuchi N, Graber HC, Caruso MJ (2002) Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J Atmos Oceanic Technol 19:2049–2062CrossRef
11.
12.
Tang W, Liu WT, Stiles BW (2004) Evaluation of high-resolution ocean surface vector winds measured by QuikSCAT scatterometer in coastal regions. IEEE Transactions on Geoscience and Remote Sensing, f42, pp 1762–1769
13.
Boutin J, Quilfen Y, Merlivat L, Piolle JF (2009) Global average of air-sea CO2 transfer velocity from QuikSCAT scatterometer wind speeds. J Geophys Res-Oceans 114:C04007CrossRef
14.
Pickett MH, Tang W, Rosenfeld LK, Wash CH (2003) QuikSCAT satellite comparisons with near-shore buoy wind data off the U.S. West Coast. J Atmos Oceanic Technol 20:1869–1879CrossRef
15.
Gille ST, Llewellyn Smith SG, Statom NM (2005) Global observations of the land breeze. Geophys Res Lett 32:1–4CrossRef
16.
Liu WT (2002) Progress in scatterometer application. J Oceanography 58(1)
17.
Chelton DB, Freilich MH, Sienkiewicz JM, Von Ahn JM (2006) On the use of QuikSCAT scatterometer measurements of surface winds for marine weather prediction. Mon Wea Rev 134:2055–2071CrossRef
18.
Chelton DB, Freilich MH (2005) Scatterometer-based assessment of 10-m wind analyses from the operational ECMWF and NCEP numerical weather prediction models. Mon Wea Rev 133:409–429CrossRef
19.
Hoffman RN, Leidner SM (2005) An introduction to the near-real-time QuikSCAT data. Weather Forecast 20:476–493CrossRef
20.
Karagali I, Badger M, Hahmann A, Peña A, Hasager C, Sempreviva AM (2013) Spatical and temporal variability in winds in the Northern European Seas. Renew Energy 57: 200–210
21.
Valenzuela GR (1978) Theories for the interaction of electromagnetic and ocean waves—A review. Bound-Layer Meteorol 13:61–85CrossRef
22.
23.
Thompson DR, Monaldo FM, Horstmann J, Christiansen MB (2008) Geophysical model functions for the retrieval of ocean surface winds. 2nd International Workshop on Advance in SAR Oceanography from ENVISAT and ERS Missions, The European Space Agency, Rome, Italy 21–25 Jan 2008
24.
Stoffelen A, Anderson DLT (1993) Wind retrieval and ERS-1 scatterometer radar backscatter measurements. Adv Space Res 13:53–60CrossRef
25.
Gerling TW (1986) Structure of the surface wind field from the SEASAT SAR. J Geophys Res 91:2308–2320CrossRef
26.
Fichaux N, Ranchin T (2002) Combined extraction of high spatial resolution wind speed and direction from SAR images: a new approach using wavelet transform. Can J Remote Sens 28:510–516CrossRef
27.
Du Y, Vachon PW, Wolfe J (2002) Wind direction estimation from SAR images of the ocean using wavelet analysis. Can J Remote Sens 28:498–509CrossRef
28.
Koch W (2004) Directional analysis of SAR images aiming at wind direction. IEEE Trans Geosci Remote Sens 42:702–710CrossRef
29.
Horstmann J, Koch W, Lehner S (2004) Ocean wind fields retrieved from the advanced synthetic aperture radar aboard ENVISAT. Ocean Dyn 54:570–576CrossRef
30.
Quilfen Y, Chapron B, Elfouhaily T, Katsaros K, Tournadre J (1998) Observation of tropical cyclones by high-resolution scatterometry. J Geophys Res 103:7767–7786CrossRef
31.
Stoffelen A, Anderson DLT (1997) Scatterometer data interpretation: estimation and validation of the transfer function CMOD4. J Geophys Res 102:5767–5780CrossRef
32.
Hersbach H, Stoffelen A, de Haan S (2007) An improved C-band scatterometer ocean geophysical model function: CMOD5. J Geophys Res-Oceans, 112
33.
Elfouhaily TM (1996) Modéle couple vent/vagues et son application à la télédétection par micro-onde de la surface de la mer. University of Paris 7
34.
Thompson D, Elfouhaily T, Chapron B (1998) Polarization ratio for microwave backscattering from the ocean surface at low to moderate incidence angles, pp 1671–1676
35.
Vachon PW, Dobson EW (2000) Wind retrieval from RADARSAT SAR images: selection of a suitable C-band HH polarization wind retrieval model. Can J Remote Sens 26:306–313
36.
Mouche AA, Hauser D, Daloze JF, Guerin C (2005) Dual-polarization measurements at C-band over the ocean: Results from airborne radar observations and comparison with ENVISAT ASAR data. IEEE Trans Geosci Remote Sens 43:753–769CrossRef
37.
Hasager CB, Dellwik E, Nielsen M, Furevik B (2004) Validation of ERS-2 SAR offshore wind-speed maps in the North Sea. Int J Remote Sens 25:3817–3841CrossRef
38.
Christiansen MB, Koch W, Horstmann J, Hasager CB, Nielsen M (2006) Wind resource assessment from C-band SAR. Remote Sens Environ 105:68–81CrossRef
39.
Hasager CB, Badger M, Peña A, Larsén XG (2010) SAR-based wind resource statistics in the Baltic Sea. Remote Sens 3(1): 117–144. doi:10.​3390/​rs3010117
40.
Monaldo FM, Thompson DR, Beal RC, Pichel WG, Clemente-Colón P (2001) Comparison of SAR-derived wind speed with model predictions and ocean buoy measurements. IEEE Trans Geosci Remote Sens 39:2587–2600CrossRef
41.
Fetterer F, Gineris D, Wackerman CC (1998) Validating a scatterometer wind algorithm for ERS-1 SAR. IEEE Trans Geosci Remote Sens 36:479–492CrossRef
42.
Monaldo FM, Thompson DR, Pichel WG, Clemente-Colon P (2004) A systematic comparison of QuikSCAT and SAR ocean surface wind speeds. IEEE Trans Geosci Remote Sens 42:283–291CrossRef
43.
Horstmann J, Schiller H, Schulz-Stellenfleth J, Lehner S (2003) Global wind speed retrieval from SAR. IEEE Trans Geosci Remote Sens 41:2277–2286CrossRef
44.
Furevik B, Johannessen O, Sandvik AD (2002) SAR-retrieved wind in polar regions—comparison with in situ data and atmospheric model output. IEEE Trans Geosci Remote Sens 40:1720–1732CrossRef
45.
Young G, Winstead N (2005) Meteorological phenomena in high resolution SAR wind imagery. High resolution wind monitoring with wide swath SAR: A user’s guide. In: Beal B, Young G, Monaldo F, Thompson D, Winstead N, Scott C (eds) U.S. Department of Commerce, National Oceanic and Atmospheric Administration, pp 13–34
46.
Alpers W, Ivanov A, Horstmann J (2009) Observations of Bora events over the Adriatic Sea and Black Sea by Spaceborne Synthetic Aperture Radar. Mon Weather Rev 137:1150–1161. doi:10.​1175/​2008MWR2563.​1 CrossRef
47.
Barthelmie RJ, Badger J, Pryor SC, Hasager CB, Christiansen MB, Jorgensen BH (2007) Offshore coastal wind speed gradients: issues for the design and development of large offshore windfarms. Wind Eng 31:369–382CrossRef
48.
Larsén XG, Larsen S, Badger M (2010) A case study of mesoscale spectra of wind and temperature, observed and simulated. Q J R Meteorol Soc 137(654): 264−274
49.
Christiansen MB, Hasager CB (2005) Wake effects of large offshore wind farms identified from satellite SAR. Remote Sens Environ 98:251–268CrossRef
50.
Christiansen MB, Hasager CB (2006) Using airborne and satellite SAR for wake mapping offshore. Wind Energy 9:437–455CrossRef
51.
Barthelmie RJ, Pryor SC (2003) Can satellite sampling of offshore wind speeds realistically represent wind speed distributions. J Appl Meteorol 42:83–94CrossRef
52.
Badger M, Badger J, Nielsen M, Hasager CB, Peña A (2010) Wind class sampling of satellite SAR imagery for offshore wind resource mapping. J Appl Meteorol Climatology. doi:10.​1175/​2010JAMC2523.​1 MATH
53.
Hasager C, Peña A, Christiansen M, Astrup P, Nielsen M, Monaldo F, Thompson D, Nielsen P (2008) Remote sensing observation used in offshore wind energy. IEEE J Sel Topics Appl Earth Observations Remote Sens 1(1):67–79CrossRef
54.
Beal B, Young G, Monaldo F, Thompson D, Winstead N, Scott C (eds) (2005) High resolution wind monitoring with wide swath SAR: A user’s guide. U.S. Department of Commerce, National Oceanic and Atmospheric Administration
55.
Peña A, Hasager C, Gryning S-E (2008) Measurements and modelling the wind speed profile in the marine atmospheric boundary layer. Bound-Layer Meteorol 129:479–495CrossRef
Metadata
Title
Satellite Remote Sensing in Offshore Wind Energy
Authors
Charlotte Bay Hasager
Merete Badger
Poul Astrup
Ioanna Karagali
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Handbook of Wind Power Systems

Print ISBN: 978-3-642-41079-6

Electronic ISBN: 978-3-642-41080-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-41080-2_21