experimental testing of axial induction based control strategies for
TRANSCRIPT
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Experimental testing of induction based control strategies
for wind farm optimization
EERA DEEPWIND R&D SEMINAR – 22 JANUARY 2016 – TRONDHEIM, NORWAY
PhD cand. Jan Bartl Prof. Lars Sætran
Fluid Mechanics Group Department of Energy and Process Engineering (EPT)
Norwegian University of Science and Technology (NTNU)
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Outline
1. Motivation
2. Methods
3. Theory: wake control
4. Results
5. Discussion & future work
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Motivation Wake effects in a wind farm
Picture source: Hasager et al., ”Wind Farm Wake: The Horns Rev Photo Case”, Energies 2013, Picture courtesy: Vattenfall
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Motivation
Normalized power at Horns Rev and Nysted for wind directions of full wake interaction
Biggest power drop (~35%) between first and second row
Graph reproduced from: Barthelmie et al. “Modelling the impact of wakes on power output at Nysted and Horns Rev.” EWEC, 2009.
x/D = 10.3 (278 ± 2.5°) x/D = 7.0 (270 ± 2.5°)
Nor
mal
ized
pow
er
Turbine
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Methods: wind tunnel experiments Full-scale measurements
Wind tunnel experiments Simulations
Alpha ventus, Picture: Martina Nolte, Licence: Creative Commons by-sa-3.0 de
Picture: Jim Ryan, StarCCM+ Picture: Geir Mogen, NTNU
SCALING?? BLOCKAGE??
VALIDATION &
CALIBRATION
PREDICTION
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Low speed wind tunnel at NTNU
Picture credit: Geir Mogen/NTNU
11.0m
1.8m
2.7m
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Grid generated inlet turbulence Simulation of background turblence TI ≈ 10% at upstream turbine, TI ≈ 5% at downstream turbine
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Background Basic strategies for wake control
λ
β
ϒ
β: blade pitch angle control
λ: torque (TSR) control
ϒ: turbine yaw angle control
Reduce energy capture of upstream turbine to the benefit of the downstream turbines
Axial induction based control
Wake deflection control
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Variation of upstream turbine tip speed ratio λ or pitch angle β assessment of mean and turbulent wake flow assessment of downstream turbine performance (CP, CT)
Axial induction based wake control
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ω R U∞
λ =
Axial induction based wake control
ω R U∞
λ =
CP CT
λ
λ β
β
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Results
λ-variations: Selected results of Master thesis by C. Ceccotti, A. Spiga, P. Wiklak and S. Luczynski β-variations Selected results of Master thesis by M. Löther
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Results: λ-control of upstream turbine
CP,T1 =
λT1 = 2 4 6 8 10 12
0.45
0.30
0.15
Turbine 1 Wake flow at x/D=3
ωT1 R U∞ Uwake/U∞
z/Rrot ωT1 T 0.5 ρ Arot U∞³
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Uwake/U∞
z/Rrot
Turbine 1 Turbine 2 at x/D=3
2 4 6 8 10
CP,T2 =
λT2 = ωT2 R U∞
ωT2 T 0.5 ρ Arot U∞³
0.45
0.30
0.15
Wake flow at x/D=3
Results: λ-control of upstream turbine
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λT2 λT1
CP,T1
λT1
2 4 6 8 10 12
0.45
0.30
0.15
CP,T2 Turbine 1 Turbine 2
+
λT1 λT2
CP,T1 + CP,T2
Turbine 1 + Turbine 2 at x=3D
Results: λ-control of upstream turbine
No significant increase in combined efficiency
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Results: λ-control of upstream turbine
Effect of turbine separation distance x/D
x/D = 3 x/D = 5 x/D = 9
For increasing downstream distance x/D more energy is recovered from T2 λ-control has less influence on wake recovery
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More information: Poster by Clio Ceccotti and Andrea Spiga Upstream turbine effect on downstream turbine performance
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Results: β-control of upstream turbine
ωT1 R U∞
λT1 =
CP,T1
Urel
Zero pitch: all blade elements at design angle of attack α=7°
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Results: β-control of upstream turbine
Urel
Negative pitch: - towards lower α - towards feather position
ωT1 R U∞
λT1 =
CP,T1
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12
10
8
6
4
2
Results: β-control of upstream turbine
λT1
CP,T1
βT1
λT1 = 6 = constant
-5 -2 0 +2 +5 +7.5 +10 +15
0.5
0.4
0.3
0.2
0.1
0
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12
10 8 6 4 2
Results: β-control of upstream turbine
CP,T1
βT1
Turbine 1 Wake flow at x/D=3 λT1
0.4 0.6 0.8 1.0
Uwake/U∞
z/Rrot
1.5
1.0
0.5
0
-0.5
1.0
1.5
-5 -2 0 +2 +5 +7.5 +1 +15
0.5 0.4 0.3 0.2 0.1 0
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Results: β-control of upstream turbine
Turbine 2 at x/D=3 Wake flow at x/D=3
0.4 0.6 0.8 1.0
Uwake/U∞
z/Rrot
1.5
1.0
0.5
0
-0.5
1.0
1.5
CP,T2
ωT2 R U∞
λT2 = 0 2 4 6 8 10
0.4
0.3
0.2
0.1
0
+20%
+80%
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Results: β-control of upstream turbine
βT1
λT2
Combined wind farm efficiency PT1 + PT2, x/D=3
10
8
6
4
2
0
0.7
0.6
0.5
0.4
0.3
0.2 -5 -2 0 +2 +5
Increase in wind farm efficiency of 3.7% for βT1 = - 5°
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Effect of turbine separation distance x/D
x/D = 3 x/D = 5 x/D = 9
Results: β-control of upstream turbine
0.7
0.6
0.5
0.4
0.3
0.2
βT1 βT1 βT1
λT2 ?
More energy can be recovered by downstream turbine
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Where is the added kinetic energy located in the wake?
x/D = 3 x/D = 5 x/D = 9
Results: β-control of upstream turbine
?
-100 0 +100
Added kinetic energy is diffusing outside the downstream rotor area
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Some concluding remarks
λ-control: - Insignificant effect on total power output from slight
variations around the design tip speed ratio - power lost on the upstream turbine is recovered by the
downstream turbine total power production is stable around design TSR
β-control: - Higher potential for wind farm efficiency increase - Pitch angle of β=-5° gives highest combined efficiency more pitch angles to be analysed more thorough wake analysis needed
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Further work
- Wake analysis for pitch angles βT1
- 3rd turbine?
- ϒ-control
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Thank you for your attention!
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Model wind turbines & blade geometry
Two model turbines
DRotor,T1 ≈ 0.90 m
Solid blockage σ = 𝐴𝑅𝑅𝑅𝑅𝑅𝐴𝑇𝑇𝑇𝑇𝑇𝑇
= 12%
Blade: NREL S826 airfoil
• designed for Re = 106 • operated at Re ≈ 105
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Power measurements
𝑃 = 𝜔 ∗ 𝑇
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Wake flow measurements
Constant Temperature Anemometry (CTA) Hot-wire
41 measurement points in the wake z/R = -2 to z/R = +2
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NREL S826 airfoil characteristics
Lift coefficient Drag coefficient
Source: Initial measurements on S826 wing, N.Aksnes & J.Bartl, NTNU
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Full-area wake measurements, β= -2, 0, +2
x/D=3
x/D=5
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Background Basic individual wind turbine control
above rated wind speed β-control (pitch angle)
under rated wind speed λ-control
(rotational speed)
Relevant region for wind farm control
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Background Concepts of wind farm control / wake control
Reduce energy capture of upstream turbine to the benefit of the downstream turbines
λ
β
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Background Further wind turbine control goals
• Fatigue load reduction • Resonance avoidance • Gust load alleviation
(extreme loads)
• Periodic disturbance reduction (wind shear, tower shadow effect)
• Actuator duty cycles reduction • …
(Source: C.L. Bottasso, «Wind turbine control – short course»; http://www.aero.polimi.it/~bottasso/DownloadArea.htm)