The unsteady wind profile in the atmospheric boundary layer upstream of a modern wind turbine is measured. The measurements are accomplished using a novel measurement approach that is comprised of an autonomous uninhabited aerial vehicle (UAV) that is equipped with a seven-sensor fast-response aerodynamic probe (F7S-UAV). The autonomous UAV enables high spatial resolution (6.3% of rotor diameter) measurements, which hitherto have not been accomplished around full-scale wind turbines. The F7S-UAV probe developed at ETH Zurich is the key-enabling technology for the measurements. The time-averaged wind profile from the F7S-UAV probe is found to be in very good agreement to an independently measured profile using the UAV. This time-averaged profile, which is measured in moderately complex terrain, differs by as much as 30% from the wind profile that is extrapolated from a logarithmic height formula; therefore, the limited utility of extrapolated profiles, which are commonly used in site assessments, is made evident. The time-varying wind profiles show that at a given height, the velocity fluctuations can be as much as 44% of the time-averaged velocity, therefore indicating that there are substantial loads that may impact the fatigue life of the wind turbine’s components. Furthermore, the shear in the velocity profile also subjects the fixed pitch blade to varying incidences and loading. Analysis of the associated velocity triangles indicates that the sectional lift coefficient at midspan of this modern turbine would vary by 12% in the measured time-averaged wind profile. These variations must be accounted in the structural design of the blades. Thus, the measurements of the unsteady wind profile accomplished with this novel measurement system demonstrate that it is a cost effective complement to the suite of available site assessment measurement tools.

1.
Kristensen
,
L.
, 1999, “
The Perennial Cup Anemometer
,”
Wind Energy
1095-4244,
2
, pp.
59
75
.
2.
Courtney
,
M.
,
Wagner
,
R.
, and
Lindelöw
,
P.
, 2008, “
Testing and Comparison of Lidars for Profile and Turbulence Measurements in Wind Energy
,”
IOP Conf. Series: Earth and Environmental Science
1755-1307,
1
, p.
012021
.
3.
Frehlich
,
R.
, and
Kelley
,
N.
, 2008, “
Measurements of Wind and Turbulence Profiles With Scanning Doppler Lidar for Wind Energy Applications
,”
IEEE J. Sel. Top. Appl. Earth Observations and Remote Sensing
1939-1404,
1
, pp.
42
47
.
4.
Smith
,
D. A.
,
Harris
,
M.
,
Coffey
,
A. S.
,
Mikkelsen
,
T.
,
Joergensen
,
H. E.
,
Mann
,
J.
, and
Danielan
,
R.
, 2004, “
Wind Lidar Evaluation at the Danish Wind Test Site in Hovsore
,”
EWEC 2004
, London.
5.
Hannon
,
S.
,
Barr
,
K.
,
Novotny
,
J.
,
Bass
,
J.
,
Oliver
,
A.
, and
Anderson
,
M.
, 2008, “
Large Scale Wind Resource Mapping Using a State-of-the-Art 3D Scanning LIDAR
,”
European Wind Energy Conference and Exhibition
, Brussels, Belgium, Mar. 31–Apr. 3, pp.
1
7
.
6.
Mikkelsen
,
T.
,
Mann
,
J.
,
Courtney
,
M.
, and
Sjöholm
,
M.
, 2008, “
Windscanner: 3-D Wind and Turbulence Measurements From Three Steerable Doppler Lidars
,”
IOP Conf. Series: Earth and Environmental Science
1755-1307,
1
, p.
012018
.
7.
Spiess
,
T.
,
Bange
,
J.
,
Buschmann
,
M.
, and
Vörsmann
,
P.
, 2007, “
First Application of the Meteorological Mini-UAV ‘M2AV’
,”
Meteorol. Z.
,
16
, pp.
159
169
.
8.
Reuder
,
J.
,
Brisset
,
P.
,
Jonassen
,
M.
,
Mueller
,
M.
, and
Mayer
,
S.
, 2008, “
SUMO: A Small Unmanned Meteorological Observer for Atmospheric Boundary Layer Research
,”
IOP Conf. Series: Earth and Environmental Science
1755-1307,
1
, p.
012014
.
9.
Kupferschmied
,
K.
,
Köppel
,
P.
,
Roduner
,
C.
, and
Gyarmathy
,
G.
, 2000, “
On the Development and Application of the Fast-Response Aerodynamic Probe System in Turbomachines—Part 1: The Measurement System
,”
ASME J. Turbomach.
,
122
, pp.
505
516
.
10.
Pfau
,
A.
,
Schlienger
,
J.
,
Kalfas
,
A. I.
, and
Abhari
,
R. S.
, 2002, “
Virtual Four Sensor Fast Response Aerodynamic Probe (FRAP)
,”
16th Bi-Annual Symposium on Measuring Techniques in Transonic and Supersonic Flows in Cascades and Turbomachines
, Cambridge, UK, Sep. 23–24.
11.
Porreca
,
L.
,
Hollenstein
,
M.
,
Kalfas
,
A.
, and
Abhari
,
R.
, 2007, “
Turbulence Measurements and Analysis in a Multistage Axial Turbine
,”
J. Propul. Power
,
23
, pp.
227
234
.
12.
Mansour
,
M.
,
Chokani
,
N.
,
Kalfas
,
A. I.
, and
Abhari
,
R. S.
, 2008, “
Time-Resolved Entropy Measurements Using a Fast Response Entropy Probe
,”
Meas. Sci. Technol.
0957-0233,
19
(
11
), p.
115401
.
13.
Bryer
,
D. W.
, and
Pankhurst
,
R. C.
, 1971,
Pressure-Probe Methods for Determining Wind Speed and Flow Direction
,
Her Majesty’s Stationary Office
,
London
.
14.
Brisset
,
P.
,
Drouin
,
A.
,
Gorraz
,
M.
,
Huard
,
P. -S.
, and
Tyler
,
J.
, 2006, “
The Paparazzi Solution
,”
MAV2006
, Sandestin, FL.
15.
Mueller
,
M.
, and
Drouin
,
A.
, 2007, “
Paparazzi—The Free Autopilot. Build Your Own UAV
,”
24th Chaos Communication Congress
, Berliner Congress Center, Dec. 27–30.
16.
Zilliac
,
G. G.
, 1993, “
Modelling, Calibration, and Error Analysis of Seven-Hole Pressure Probes
,”
Exp. Fluids
,
14
, pp.
104
120
.
17.
Gallington
,
R. W.
, 1980, “
Measurement of Very Large Flow Angles With Non-Nulling Seven-Hole Probe
,” Aeronautics Digest, Vol.
USAFA-TR-80-17
, pp.
60
88
.
18.
Gossweiler
,
C.
,
Humm
,
H. J.
, and
Kupefrschmied
,
P.
, 1989, “
The Use of Piezo-Resistive Semi-Conductor Pressure Transducers for Fast-Response Probe Measurements in Turbomachinery
,”
Proceedings of the Tenth Symposium on Measuring Techniques for Transonic and Supersonic Flows in Cascades and Turbomachines
, Brussel.
19.
Barber
,
S.
,
Wang
,
Y.
,
Chokani
,
N.
, and
Abhari
,
R. S.
, 2009, “
The Effect of Ice Shapes on Wind Turbine Performance
,”
13th International Workshop on Atmospheric Icing of Structures
, Andermatt, Switzerland.
20.
Hau
,
E.
, 2006,
Wind Turbines: Fundamentals, Technologies, Applications, Economics
,
Springer-Verlag
,
Berlin
.
21.
Hochart
,
C.
, 2007, “
Simulation Numérique et Expérimentale de l’Ecoulement d’Air et de l’Accrétion de Glace autour d’une Pale d’Eolienne
,” MS thesis, Univérsité de Québec.
22.
Bak
,
C.
,
Fuglsang
,
P.
,
Johansen
,
J.
, and
Antoniou
,
I.
, 2000, “
Wind Tunnel Tests of the NACA 63-415 and a Modified NACA 64-415
,” Risø National Laboratory, Roskilde, Denmark.
You do not currently have access to this content.