Transcript Slide 1

Wind Turbine Design Methods
Robert Scott
[email protected]
November 1, 2007
Advantages of Wind Power
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Clean
Flexible
Large Potential for Growth
Economically Viable (most of the time – peak
opportunity)
Design
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Siting
Configurations
Sizing
Rotor
Tower
Generator
Siting
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Wind speed
Climate Conditions
Inland or at sea
Terrain
Surrounding
Community
Configurations
• Vertical Axis
– Darrieus
– H-Type
– Savonius
• Disadvantages
– Size limits
– Reliability
Configurations
• Horizontal Axis
– 3-bladed most
common, structures
and dynamic
considerations
– 1 and 2-bladed
designs exist, but don’t
even bother.
– Upwind or Downwind
Sizing
• Designs exist for
capacities of <1 kW
up to 5 MW.
• What are you
designing for?
– Utilities
– Individual Use
– Special Use
Rotor
• Diameter
• Blades
– Airfoils
– Shape (Twist)
• Control
– Stall/Pitch regulated
– Rotational Speed
3.50
3.00
Rated Capacity (MW)
– Larger = higher capacity and higher
costs, helps for lower windspeed
4.00
2.50
2.00
1.50
1.00
0.50
0.00
0
20
40
60
Rotor Diameter (m)
80
100
120
Rotor
• Control
– Stall/Pitch regulated
– Rotational Speed
– Cut-in, rated, cut-out
velocities
Tower
• Type
– Tubular
– Lattice
• Height
– Tall = smoother air
– Short = better for
construction
Wind Variability
• The terrain of the site
affects the wind
speed.
• Higher roughness
lengths slow the wind
down more at low
elevations.
U ( z hub )
lnz hub z 0 

U z anem  lnz anem z 0 
Generator
• Enclosed?
• Gearbox?
• Direct-drive?
Design Process
• Performance
– Efficiency
– Reliability
• Economics
– Infrastructure (~ $1.7 Million per MW)
– Construction
– Operational Costs (~ 2% of acquisition
costs/yr)
– Subsidies
The Power Curve
Published power curve for a 1.5 megawatt wind turbine.
Nordex S70. Vc-o≈ 2VR
Wind Variability
0.16
Ū = 5 m/s
Ū = 7 m/s
Ū = 9 m/s
Ū = 11 m/s
0.14
– The Weibull
distribution
k 1
0.12
prob dist funct, ƒ
• Model the wind as a
probability density
function
0.1
0.08
0.06
0.04
0.02
0
 
kx
f x; k ,      e 
 k
10
15
20
25
wind speed (m/s)
Ū = 5 m/s
Ū = 7 m/s
Ū = 9 m/s
Ū = 11 m/s
1
0.8
2  U  U  2
f U    e

U 
 

5
1.2
x
 

For wind,
F U   1  e
0
k
2
cumul. dist, F
F  x; k ,    1  e
x
0.6
0.4
0.2
0
0
5
10
15
wind speed (m/s)
20
25
What does all this tell us?
0.16
Capacity Factor:
Ū = 5 m/s
Ū = 7 m/s
Ū = 9 m/s
Ū = 11 m/s
0.14
t
0.12
CF 
0.08
 Pdt
0
Prated t

E
E max
0.06
A capacity factor of 35% for a
wind turbine is considered good.
0.04
0.02
1
0
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0.9
Capacity Factor
Ū = 5 m/s
Ū = 7 m/s
Ū = 9 m/s
Ū = 11 m/s
0.8
Ū = 5 m/s
 CF = 0.05
Ū = 7 m/s
 CF = 0.18
0.7
0.6
1-F
prob dist funct, ƒ
0.1
0.5
0.4
Ū = 9 m/s
 CF = 0.42
Ū = 11 m/s  CF = 0.73
0.3
0.2
0.1
0
0
0.1
0.2
0.3
0.4
0.5
Capacity Factor
0.6
0.7
0.8
0.9
1
Sensitivity Studies – HOMER
Sensitivity to wind speed
Ū = 5 m/s:
225,000K kWh/yr @ $0.15/kWh
Sensitivity to hub height
zH = 40 m
500,000K kWh/yr @ $0.087/kWh
Ū = 14 m/s:
1,000,000K kWh/yr @ $0.055/kWh
Ū = 5 m/s:
675,000K kWh/yr @ $0.07/kWh
The Power Coefficient
Cp 

P

1 U 3 A
2
0.5
0.45
0.4
0.35
power coeff Cp
The power output
normalized to the
energy density of the
wind and the rotor
area.
0.3
0.25
0.2
0.15
0.1
0.05
Measures the amount of
power actually converted out
of the power available in the
wind
0
0
5
10
15
wind speed (m/s)
20
25
Optimized Costs of Energy
• High wind speed areas, U > 10 m/s
consistently
• Maximized hub heights, zH = 100 m
• Large development – Economies of
scale reduce per unit price of turbines.
Comparison with other fuels:
Coal $0.02 – 0.03/kWh
Natural Gas $0.05 – 0.08/kWh
Nuclear $0.02 – 0.03/kWh
Note: Other fuels, especially coal
and nuclear, benefit from not having
to include their high external costs in
the price of energy. Wind energy
also receives a $0.015/kWh tax
credit.
Optimized Cost of Energy:
• $0.038/kWh (3%
interest)
• $0.040/kWh (4%
interest)
• $0.042/kWh (5%
interest)
• $0.044/kWh (6%
interest)
Useful Websites
• List of wind farms:
http://www.fplenergy.com/portfolio/contents/portfolio_by_
source.shtml
• Wind turbine Manufacturers
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http://www.skystreamenergy.com/skystream/
http://www.enercon.de/en/_home.htm
http://www.nordex-online.com/en/
http://www.gamesa.es/index.php/en
http://www.suzlon.com/
• Current Events
– http://www.cnn.com/2007/TECH/science/10/09/pip.wind.energy/
– www.wind-watch.org