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ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana- Champaign [email protected]

ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

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Page 1: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

ECE 333 Renewable Energy Systems

Lecture 8: Wind as a Resource

Prof. Tom Overbye

Dept. of Electrical and Computer Engineering

University of Illinois at Urbana-Champaign

[email protected]

Page 2: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Announcements

• Read Chapter 7• Quiz on HW 3 Today• HW 4 is 7.1, 7.2, 7.4, 7.5; it will be covered by an in-

class quiz on Thursday Feb 20

2

Page 3: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Wind Turbine Sizes

3http://www.bpwtag.ca/Bruce%20Peninsula%20Wind%20Turbine%20Sizes%202013.jpg

A 747 wing span isabout 60m;

The Washing-ton mon-ument is

169mhigh

Page 4: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power in the Wind

• Consider the kinetic energy of a “packet” of air with mass m moving at velocity v

• Divide by time and get power

• The mass flow rate is ( r is air density)

21KE

2mv

21 passing though APower through area A

2

mv

t

passing though A= = A

mm v

t

4

Page 5: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power in the Wind

Combining previous equations,

21Power through area A A

2v v

31P A (6.4)

2W v Power in the wind

PW (Watts) = power in the wind

ρ (kg/m3)= air density (1.225kg/m3 at 15˚C and 1 atm)

A (m2)= the cross-sectional area that wind passes through

v (m/s)= windspeed normal to A (1 m/s = 2.237 mph)

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Page 6: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power in the Wind (for reference solar is about 600 w/m^2 in summer)

• Power increases with the cube of wind speed

• Doubling the wind speed increases the power by eight

• Energy in 1 hour of 20 mph winds is the same as energy in 8 hours of 10 mph winds

• Nonlinear, so we cannot use average wind speed

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Page 7: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power in the Wind

• Power in the wind is also proportional to A• For a conventional HAWT, A = (π/4)D2, so wind

power is proportional to the blade diameter squared• Cost is somewhat proportional to blade diameter • This explains why larger wind turbines are more

cost effective (plus, as we shall see, because they are higher, the winds are stronger)

31P A

2W v

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Page 8: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Example: Energy in 1 m2 of Wind

• 100 hours of 6 m/s winds

• 50 hours of 3 m/s winds and 50 hours of 9 m/s winds - *the average wind speed is 6 m/s

31Energy A

2v t

33 21Energy 1.225 kg/m (1m ) 6 m/s 100 h=13,230 Wh

2

33 21Energy (3 m/s) 1.225 kg/m (1m ) 3 m/s 50 h=827 Wh

2

33 21Energy (9 m/s) 1.225 kg/m (1m ) 9 m/s 50 h=22,326 Wh

2

total = 23,152 Wh Don’t use average wind speed! 8

Page 9: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Air Density for Different Temperatures and Pressures

• P = absolute pressure (atm)• M.W. = molecular weight of air (g/mol) = 28.97 g/mol• T = absolute temperature (K)• R = ideal gas constant = 8.2056·10-5·m3·atm·K-1·mol-1

• Air density is greater at lower temperatures– For example, in comparing 90º F (305 K) to 10º F 265.3 K),

ratio is about 1.15

3M.W. 10

P

RT

9

Page 10: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Air Density Altitude Correction

dP

gdz

( ) ( ) dP P z dz P z g dz

41.185 10 dP

Pdz

41.185 101 atm HP e

where H is in meters

We get a differential equation in terms of pressure:

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Page 11: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Air Density Temperature and Altitude Impacts

• Variation in density with respect to temperature and altitude is given by

• With z=0, T=273.16+15 then ρ = 1.225kg/m3 – With z=200, T= 273.16+35, then ρ = 1.225kg/m3 1.120

(about 91% of sea level, 15 degree C value)

3353.1exp( 0.0342 / ) kg/m

where T is in kelvins (K) and z is in metersabove sea level

z T

T

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Page 12: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Impact of Elevation and Earth’s Roughness on Windspeed

• Since power increases with the cube of wind speed, we can expect a significant economic impact from even a moderate increase in wind speed

• There is a lot of friction in the first few hundred meters above ground – smooth surfaces (like water) are better

• Wind speeds are greater at higher elevations – tall towers are better

• Forests and buildings slow the wind down a lot

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Page 13: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Characterization of Elevation and Earth’s Roughness on Wind Speed

• α = friction coefficient – given in Table 6.3• v = wind speed at height H• v0 = wind speed at height H0 (H0 is usually 10 m)

• Typical value of α in open terrain is 1/7• For a large city, α = 0.4; for small town, α = 0.3, for

high crops, , α = 0.2, for calm water or hard ground, α = 0.1

0 0

v H

v H

13

Page 14: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Impact of Elevation and Earth’s Roughness on Wind speed

• Alternative formulation (used in Europe)

• l is the “roughness length” – given in Table 7.2• Note that both equations are just approximations of

the variation in wind speed due to elevation and roughness– the best thing is to have actual measurements

0 0

ln( / )

ln( / )

v H l

v H l

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Page 15: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Impact of Elevation and Earth’s Roughness on Power in the Wind

• Combining earlier equations we get

• The other constants in the power in the wind equation are the same, so they just cancel:

3 3

0 0 0

= P v H

P v H

3

300

12 12

AvP

P Av

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Page 16: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Impact of Elevation and Earth’s Roughness on Windspeed

Figure 7.16

For a small town, windspeed at 100 m is twice that at 10 m

Areas with smoother surfaces have less variation with height16

Page 17: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

• Find the ratio of power in the wind at highest point to lowest point

• Power in the wind at the top of the blades is 45% higher!

Example Rotor Stress

• Wind turbine with hub at 50-m and a 30-m diameter rotor, α = 0.2

3 0.2

0

65 = 1.45

35

P

P

50 m

35 m

65 m

Picture may not be to scale 17

Page 18: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Maximum Rotor Efficiency

• Two extreme cases, and neither makes sense-– Downwind velocity is zero – turbine extracted all of the

power– Downwind velocity is the same as the upwind velocity –

turbine extracted no power

• Albert Betz 1919 - There must be some ideal slowing of the wind so that the turbine extracts the maximum power

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Page 19: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Maximum Rotor Efficiency

• Constraint on the ability of a wind turbine to convert kinetic energy in the wind into mechanical power

• Think about wind passing though a turbine- it slows down and the pressure is reduced so it expands

Figure 7.17 19

Page 20: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power Extracted by The Blades

2 21 (7.21)

2b dP m v v

• ṁ = mass flow rate of air within stream tube• v = upwind undisturbed wind speed • vd = downwind wind speed

• From the difference in kinetic energy between upwind and downwind air flows

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Page 21: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Determining Mass Flow Rate

• Easiest to determine at the plane of the rotor because we know the cross sectional area A

• Then, the mass flow rate is

• Assume the velocity through the rotor vb is the average of upwind velocity v and downwind velocity vd

(7.22)bm Av

=2

db

v vv

2dv v

m A

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Page 22: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power Extracted by the Blades

• Then

• Define

• Then substituting for vd to get the power extracted

2 21 (7.23)

2 2d

b d

v vP A v v

, will be less than 1.0 (7.24)dv

v

2 2 21 (7.25)

2 2b

v vP A v v

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Page 23: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Power Extracted by the Blades

PW = Power in the wind

2 2 21

2 2b

v vP A v v

3 2 3 3 3 3

2 2 2 = - + - 2 2 2 2 2

v v v v v vv v

3

2 = 1 - 12

v

3

2 = 1 12

v

3 21 11 1

2 2bP Av

CP = Rotor efficiency 23

Page 24: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Maximum Rotor Efficiency

• Find the wind speed ratio λ that maximizes the rotor efficiency, CP

• From the previous slide

2 3

21 11 1 = - + -

2 2 2 2 2PC

2=-2 1 3 0PC

2=3 2 1 0PC

= 3 1 1 0PC

1

3

maximizes rotor efficiency

Set the derivative of rotor efficiency to zero and solve for λ:

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Page 25: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Maximum Rotor Efficiency

• Plug the optimal value for λ back into CP to find the maximum rotor efficiency:

2

1 1 1 161 1 = 59.3% (7.29)

2 3 3 27PC

• The maximum efficiency of 59.3% occurs when air is slowed to 1/3 of its upstream rate

• Called the “Betz efficiency” or “Betz’ law”

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Page 26: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Maximum Rotor Efficiency

Rotor efficiency CP vs. wind speed ratio λ

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Page 27: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Tip-Speed Ratio (TSR)

• Efficiency is a function of how fast the rotor turns• Tip-Speed Ratio (TSR) is the speed of the outer tip

of the blade divided by wind speed

Rotor tip speed rpm DTip-Speed-Ratio (TSR) = (7.30)

Wind speed 60v

• D = rotor diameter (m) • v = upwind undisturbed wind speed (m/s) • rpm = rotor speed, (revolutions/min)• One meter per second = 2.24 miles per hour

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Page 28: ECE 333 Renewable Energy Systems Lecture 8: Wind as a Resource Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at

Tip-Speed Ratio (TSR)

• TSR for various rotor types

• If blade turns too slow then wind passes through without hitting blade; too fast results in turbulence

• Rotors with fewer blades reach their maximum efficiency at higher tip-speed ratios Figure 6.11

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