Transcript Slide 1

Modelling the impact of wakes on power output at
Nysted and Horns Rev
R.J. Barthelmie, Indiana University USA/Risoe DTU DK
K. Hansen, DTU Denmark
S.T. Frandsen, O. Rathmann, RISOE DTU Denmark
G. Schepers ECN, Netherlands
K. Rados, NTUA, Greece
W. Schlez, A. Neubert, GH, Germany
L.E. Jensen, DONG Energy, Denmark
S. Neckelmann, Vattenfall, Denmark
Funding: NSF CBET-0828655, EU UPWIND # SES6 019945 EU POWWOW #SES6 019898
Data: DONG Energy A/S & Vattenfall AB (Horns Rev), Vattenfall and E. On Sweden (Nysted)
Modelling wakes in the UpWind project
Problems
Solutions
1. Preliminary analysis of wake
power losses in large offshore
wind farms larger than expected.
Amended but high uncertainty
2. First v. large wind farms on land
3. Resources and wakes difficult to
model in complex terrain
4. Multiple wind farms developed in
same area
1. New parameters and/or next
generation of wake models able to
account for ‘deep array’ effect
2. (Assess the magnitude of the
issue onshore)
3. Develop, apply and evaluate CFD
4. Assess, develop and evaluate
models for whole wind farm
modelling
Data
In agreement with data owners
some wind farm data have been
made available
Access is open and free
(registration necessary)
Offshore wake data from
•
•
•
•
Vindeby
Middelgrunden
Horns Rev
Nysted (in proc)
Data processed into case
studies for Horns Rev, Nysted
(performance remains
confidential)
Access /registration details:
http://mypage.iu.edu/~rbarthel/wakeslab.html
Wake models used in this project
Name
Company
Type
Commercial/
Research
WAsP
Risø DTU
Engineering
C
Windfarmer
GH
Ainslie
C
Risø Flow
Risø DTU
Under
development
R
Wakefarm
ECN
Parabolised CFD
C/R
CENER Fluent
CENER
CFD
R
NS FLow
CRES
CFD
R
NTUA
NTUA
CFD
R
Offshore wind farms
Wind farm
Nysted
Horns Rev
Owner
DONG Energy (80%)
E.On Sweden (20%)
DONG Energy (40%)
Vattenfall (60%)
Turbine number
72
80
Turbine
Siemens 2.3 MW
Vestas 2 MW
57.5
Turbine type
Active stall, 2-speed
Latitude(° N)
57.0
56.5
56.0
Pitch, variable speed
55.5
Rotor diam (D)
82.4 m
Horns Rev
80 m
55.0
Hub-height
69 m
Nysted
70 m
54.5
Array
8 (E-W) x 9 (N-S)
10 (E-W) x 8 (N-S)
Dist. between
turbines
10.3 D (E-W) &
5.8 D (N-S)
7 D (E-W & N-S)
Rated capacity
165.6 MW
160 MW
Annual prod.
595 GWh
600 GWh
Year comm.
2003
2002
Water depth
6-10 m
6-14 m
Distance land
10 km (closest)
14-20 km
7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0
Longitude (° E)
http://earthobservatory.nasa.gov/IOTD/view.php?id=3389
Horns Rev and Nysted layouts
Horns Rev 7D x 7D
Nysted 10.5D x 5.8D
Data comparison
Data from 2004-2006 Nysted,
2005 Horns Rev
Selection on:
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•
•
•
wind speed ±0.5 ms-1
direction ±2.5º
all turbines working in row
all turbines working in
neighbouring rows
• two subsequent observations
for stationarity
Gives relatively few observations in
each category
Data differences mainly due to
spacing?
1
0.8
0.8
0.6
0.6
0.4
0.2
Normalised power
1 2 3 4 5 6 7 8 9 10
1
1
0.8
0.6
0.6
0.4
0.2
0.4
26525o
0.2
Normalised power
1 2 3 4 5 6 7 8 9 10
1
0.8
0.8
0.6
0.6
0.2
27525o
Normalised power
1 2 3 4 5 6 7 8 9 10
270±2.5o
0.4
0.2
280±2.5o
0.6
0.4
0.2
285±2.5o
1 2 3 4 5 6 7 8 9 10
Turbine
0.8
0.8
0.6
0.6
0.4
Observations
WAsP
Windfarmer
ECN
NTUA
0.4
263±2.5o
0.2
268±2.5o
0.2
1
2
3
4
5
6
7
8
1
1
1
0.8
0.8
0.6
0.6
0.4
2
3
4
5
6
7
8
4
5
6
7
8
5
6
7
8
0.4
2732.5o
0.2
1
2
3
4
5
6
7
8
1
1
0.8
0.8
0.6
0.6
0.4
1
2
3
2
3
0.4
2832.5o
0.2
278±2.5o
0.2
1
1 2 3 4 5 6 7 8 9 10
1
0.8
1
1 2 3 4 5 6 7 8 9 10
1
0.4
1
1 2 3 4 5 6 7 8 9 10
1.2
0.8
260±2.5o
Normalised power
0.2
255±2.5o
Normalised power
0.4
Normalised power
1
Normalised power
Normalised power
Model comparison at Horns Rev and Nysted
0.2
4
5
6
7
8
288±2.5o
1
2
3
4
1
0.8
Observations
WAsP
Windfarmer
ECN
0.6
0.4
0.2
293±2.5o
1
2
3
4
5
Turbine
6
7
8
Model comparison at Horns Rev and Nysted
Exact row, narrow directions
•
•
•
Seems to be a special case
Agreement on wake behaviour at
Horns Rev and Nysted
Model agreement within ±10%
Cross row angles
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•
Asymmetry in obs. and models
Larger uncertainty
ER
ER+10º
Model comparison at Horns Rev and Nysted
Consistency improved in model
results
High degree of uncertainty
• Differences between models
• Data issues
• Lower wind speeds
Ongoing issues
• Asymmetry around central row
• Developing quantitative methods
of evaluation e.g. efficiency
• Stability
Stability at Nysted
1.2
All
Stable
Unstable
Neutral
1
1
0.9
Normalised power at 2nd turbine
Normalised power output (kW)
.
0.8
0.6
0.4
0.8
0.7
Neutral
Stable
Unstable
0.6
8<U<10 m/s Turbines in row 5 operating0.5 s.d.
0.2
0.5
0
2
4
6
8
Turbine number
Results from Barthelmie et al. European
.
Offshore Wind 2007
-9
-6
-3
0
3
Distance from wake centre in deg
6
9
Summary and future work
• Objective
Reducing uncertainty in predicting power losses from wakes
• UpWind project
Provides platform for undertaking model evaluation & data sharing
• Progress made
Data analysis and modelling
Wakes can be modelled with appropriate parameters
• Future
Physical understanding of wake processes within and downwind wind
farms
Other UpWind wake presentations and posters
WIND TURBINE WAKE VIRTUAL LABORATORY: PROPOSAL FOR A NEW COLLABORATION
Rebecca Barthelmie, Indiana University, United States & Risø DTU, Denmark
PO.155
APPLYING FLOW MODELS OF DIFFERENT COMPLEXITY FOR ESTIMATION OF WIND TURBINE WAKES
Søren Ott, Risø DTU, Denmark
PO.156
A FAST PARAMETERIZED WAKE-MODEL FOR LARGE WIND FARMS
Ole Steen Rathmann, Risø DTU, Denmark
PO.161
CFD MODELING ISSUES OF WIND TURBINE WAKES UNDER STABLE ATMOSPHERIC CONDITIONS
Evangelos Politis, Centre for Renewable Energy Sources (CRES), Greece
PO.163
NEW DEVELOPMENTS IN LARGE WIND FARM MODELLING
Wolfgang Schlez, Garrad Hassan Deutschland GmbH, Germany
CFD MODELLING OF THE INTERACTION BETWEEN THE SURFACE BOUNDARY LAYER AND ROTOR WAKE
Daniel Cabezón, CENER, Spain
PO.167