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Wind resources and wind farm wake effects offshore observed from satellite. Charlotte Bay Hasager Poul Astrup Merete Bruun Christiansen Morten Nielsen Rebecca Barthelmie Risø National Laboratory, Wind Energy Department. Motivation. Satellite data are complementary to:

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wind resources and wind farm wake effects offshore observed from satellite

Wind resources and wind farm wake effects offshore observed from satellite

Charlotte Bay Hasager

Poul Astrup

Merete Bruun Christiansen

Morten Nielsen

Rebecca Barthelmie

Risø National Laboratory, Wind Energy Department

motivation
Motivation

Satellite data are complementary to:

offshore in-situ data……….that are costly

offshore model results…….that are not fully verified

EWEC 2006, Athens 27 February to 2 March 2006

slide3
1800 km

400 km

100 km

EWEC 2006, Athens 27 February to 2 March 2006

slide4
Physics

Ocean surface is roughened

by wind interaction such that

capillary and short gravity

waves are generated.

More wind causes

more steep waves that

causes higher backscatter.

EWEC 2006, Athens 27 February to 2 March 2006

slide5
Horns Rev, Elsam A/S

Courtesy: NOAA

EWEC 2006, Athens 27 February to 2 March 2006

slide7
QuikScat Mean wind speed 5 years

Grid cell:

ca. 25 km

Number of observations: 3650 (twice per day for 5 years)

EWEC 2006, Athens 27 February to 2 March 2006

slide8
QuikScat North

EWEC 2006, Athens 27 February to 2 March 2006

slide9
QuikScat East

EWEC 2006, Athens 27 February to 2 March 2006

slide10
QuikScat South

EWEC 2006, Athens 27 February to 2 March 2006

slide11
QuikScat West

Weibull A and k per sector in WASP tab-file format available

EWEC 2006, Athens 27 February to 2 March 2006

slide12
Horns Rev, Elsam A/S

Wind field from Envisat ASAR WSM (Courtesy: JHU/APL)

EWEC 2006, Athens 27 February to 2 March 2006

slide15
Envisat processed at JHU/APL

EWEC 2006, Athens 27 February to 2 March 2006

slide17
Horns Rev (Denmark)

ERS Mean wind speed for 30 daysGrid cell: 400 m

5 km

From Nielsen et al. 2004, Risø-R-1479(EN)

EWEC 2006, Athens 27 February to 2 March 2006

91 sar wind maps
Directions from met. mast

Directions from image, LG supervised

U = 7.3 m/s

E = 421 W/m2

U = 7.8 m/s

E = 496 W/m2

91 SAR wind maps

In situ measurements (Sommer, 2003):

U = 7.6 m/s

E = 422 W/m2

Directions from image, LG automatic

U = 7.7 m/s

E = 510 W/m2

EWEC 2006, Athens 27 February to 2 March 2006

wind farm sites
Wind farm sites

Blaavandshuk

Met. mast

Horns Rev

Offshore Wind Farm

N

ERS (no wind)

EWEC 2006, Athens 27 February to 2 March 2006

wind farm wake effects
Wind farmWind farm wake effects

Reduced mean wind speed

Enhanced turbulence

ERS

Horns Rev

EWEC 2006, Athens 27 February to 2 March 2006

slide22
Y

X

x

y

EWEC 2006, Athens 27 February to 2 March 2006

airborne sar e sar
Wind

Met. mast

5 flight tracks in C-band VV

Airborne SAR (E-SAR)

12 October 2003

EWEC 2006, Athens 27 February to 2 March 2006

winds from e sar in cvv
Winds from E-SAR in CVV

Wind farm

Wind farm

Wind

Wind

Wind speed

Velocity deficit

EWEC 2006, Athens 27 February to 2 March 2006

slide25
Christiansen & Hasager (2006), Using airborne SAR for wake mapping offshore. Wind Energy (in press).

EWEC 2006, Athens 27 February to 2 March 2006

conclusions
Conclusions

Wind resources can be estimated from satellite wind maps as a supplement to in-situ data.

Wake velocity deficit can be quantified from satellite wind maps.

Acknowledgements:

Danish Research Agency SAT-WIND and SAR-WAKE projects;

ESA EO-windfarm and EO-1356 projects;

Elsam A/S Meteorological data.

EWEC 2006, Athens 27 February to 2 March 2006

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