Accelerating Wind Energy 1 A physical approach to monitor tower base fatigue loads using standard...
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Accelerating Wind Energy1
Accelerating Wind EnergyA physical approach to monitor tower base fatigue loads using standard signals
Thesis presentationFreark Koopman
Committee:Gerard van Bussel
Dick VeldkampGijs van der Veen
Agenda
1. Wind Energy
2. Wind Turbines
3. Load monitoring
4. Physical approach
5. Results
6. Conclusions
Accelerating Wind Energy2
Wind Energy
Accelerating Wind Energy3
1
Wind Turbines
Accelerating Wind Energy4
2
Load monitoring
Accelerating Wind Energy5
23
• Gain insight in the load history
• Prevent breakdown
• Check your design
• Reduce cost of energy
• Find abnormal turbine behaviour
3
Load monitoring
Accelerating Wind Energy6
• Measure (Direct)
• Expensive
• Time consuming
Load monitoring
Accelerating Wind Energy7
• Estimate (Indirect)
• Already available signals
• No extra sensorsL
Load monitoring
Accelerating Wind Energy8
• Standard signals
• Wind speed
• Pitch angle
• Power output
• Rotor speed
• Nacelle acceleration
Load monitoring
Accelerating Wind Energy9
• Neural network
• Good results
• No insight in
underlying process
Physical approach
Accelerating Wind Energy10
L
4
Physical approach
Accelerating Wind Energy11
M(x,t)kev(x)EIv(L,t)
Physical approach
Accelerating Wind Energy12
Physical approach
Accelerating Wind Energy13
Time
Acc
eler
atio
n
v(L,t)a(L,t) ∬dtdt
Dis
plac
emen
t
Physical approach
Accelerating Wind Energy14
v(L,t)a(L,t) ∬dtdt
Time
Dis
plac
emen
t
~150 m
• Fourier
Physical approach
Accelerating Wind Energy15
• Fourier
Time
Am
plitu
de
Physical approach
Accelerating Wind Energy16
• Fourier
Frequency
Am
plitu
de
v(L,t)a(L,t) ∬dtdt v(L,t)a(L,t) ∬dtdtHigh-PassFilter(f>50mHz)
v(L,t)a(L,t) ∬dtdtHigh-PassFilter(f>50mHz)
Physical approach
Accelerating Wind Energy17
Time
Acc
eler
atio
nD
ispl
acem
ent
Physical approach
Accelerating Wind Energy18
vFA(L,t)aFA(L,t) ∬dtdtHigh-Pass Filter (f>50mHz)
P(t) ThrustΩ (t) θ (t)
1/KLow-Pass Filter (f<50mHz)+
U∞ (t)
Gαev-
vFA(L,t)aFA(L,t) ∬dtdtHigh-Pass Filter (f>50mHz)
P(t) ThrustΩ (t) θ (t)
1/KLow-Pass Filter (f<50mHz)+
U∞ (t)
Results
Accelerating Wind Energy19
5
vFA(L,t)aFA(L,t) ∬dtdtHigh-Pass Filter (f>50mHz)
P(t) ThrustΩ (t) θ (t)
1/KLow-Pass Filter (f<50mHz)+
U∞ (t)
Gαev
-
VSvFA(L,t)aFA(L,t) ∬dtdtHigh-Pass Filter (f>50mHz)
P(t) ThrustΩ (t) θ (t)
1/KLow-Pass Filter (f<50mHz)+
U∞ (t)
Gαev-
Results
Accelerating Wind Energy20
Time
Ben
ding
Mom
ent
Results
Accelerating Wind Energy21
Time
Ben
ding
Mom
ent
Results
Accelerating Wind Energy22
= 1
vFA(L,t)aFA(L,t) ∬dtdtHigh-Pass Filter (f>50mHz)
P(t) ThrustΩ (t) θ (t)
1/KLow-Pass Filter (f<50mHz)+
U∞ (t)
Gαev
-
Results
Accelerating Wind Energy23
0 5 10 15 20 250.6
0.8
1
1.2
1.4
1.6
Wind Speed [m/s]
Conclusions
Accelerating Wind Energy24
• From nacelle acceleration to tower bending moment
• High-pass filter to prevent drift
• Thrust estimator for low frequency compensation
• Gravity correction necessary
• The equivalent loads are underestimated by 8% with a standard deviation
of 6%
6
Accelerating Wind EnergyA Physical approach to monitor tower base fatigue loads using standard signals
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Accelerating Wind EnergyA Physical approach to monitor tower base fatigue loads using standard signals