Transcript

Wind energy harvesting basics, resource assessment and

application for off grid systems.Hanan Einav-Levy M.Sc.

Thursday, November 10, 2011

A bit about meHanan Einav-Levy M.Sc

• Aeronautical engineer• Wind turbine technology advocate• Experience in installing and building small

wind turbines in Israel and abroad for rural electrification• Consultant to several wind energy NGO’s • Conducting PhD research in wind turbine

resource assessment

Thursday, November 10, 2011

Aim of lecture

Thursday, November 10, 2011

Aim of lecture• Wind turbine systems are complicated systems

Thursday, November 10, 2011

Aim of lecture• Wind turbine systems are complicated systems

• We have 4 hours...

Thursday, November 10, 2011

Aim of lecture• Wind turbine systems are complicated systems

• We have 4 hours...

• You will gain a basic and comprehensive understanding

Thursday, November 10, 2011

Aim of lecture• Wind turbine systems are complicated systems

• We have 4 hours...

• You will gain a basic and comprehensive understanding

• Many valuable references will be mentioned for your future use

Thursday, November 10, 2011

Aim of lecture• Wind turbine systems are complicated systems

• We have 4 hours...

• You will gain a basic and comprehensive understanding

• Many valuable references will be mentioned for your future use

• You will receive a starting point for developing wind in rural communities in your countries

Thursday, November 10, 2011

Outline

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

• Small wind turbine product comparison (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

• Small wind turbine product comparison (10)

• Case studies

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

• Small wind turbine product comparison (10)

• Case studies

• Practical action - Peru (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

• Small wind turbine product comparison (10)

• Case studies

• Practical action - Peru (10)

• AWP - Zimbabwe (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

• Small wind turbine product comparison (10)

• Case studies

• Practical action - Peru (10)

• AWP - Zimbabwe (10)

• WindAid - Peru (10)

Thursday, November 10, 2011

Outline• Part 1 (2 hours)

• Global wind resource (10)

• Modern wind turbine history (10)

• Wind energy theory (10)

• Technology - HAWT, VAWT, Lift, Drag, BIG, small (15)

• Environmental considerations (5)

• Wind speed variability (15)

• Estimating the resource (15)

• Off grid wind system components (5)

• Economic considerations(10)

• part II (2 hours)

• Example project (50)

• Small wind turbine product comparison (10)

• Case studies

• Practical action - Peru (10)

• AWP - Zimbabwe (10)

• WindAid - Peru (10)

• CometME - Israel/PAU (10)

Thursday, November 10, 2011

American Economic Review 101 (August 2011): 1649–1675http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.5.1649

1649

An important and enduring issue in environmental economics has been to develop both appropriate accounting systems and reliable estimates of environmental dam-ages (Wassily Leontief 1970; Yusuf J. Ahmad, Salah El Serafay, and Ernst Lutz 1989; Nordhaus and Edward Charles Kokkelenberg 1999; Kimio Uno and Peter Bartelmus 1998).

Some of this literature has focused on valuing natural resources such as water resources, forests, and minerals (Henry M. Peskin 1989; World Bank 1997; Robert D. Cairns 2000; Haripriya Gundimeda et al. 2007; Michael Vardon et al. 2007). Other studies have focused on including pollution. For example, the earliest papers that focused on pollution relied on material !ows analysis to calculate the tons of emissions per unit of production by industry (Robert U. Ayres and Allen V. Kneese 1969). This has been formalized in the Netherlands (Steven J. Keuning 1993) and in Sweden (Viveka Palm and Maja Larsson 2007). The materials-!ow approach is use-ful for tracking physical !ows, but it is inappropriate for national economic accounts because it does not contain values and because the damages associated with differ-ent source locations and toxicity are not included.

This paper contributes to this literature in two ways. First, we present a frame-work to integrate external damages into national economic accounts. The gross

Environmental Accounting for Pollution in the United States Economy †

By N"#$%&'( Z. M)&&*+, R%,*+- M*./*&(%$., './ W"&&"'0 N%+/$')(*

This study presents a framework to include environmental externali-ties into a system of national accounts. The paper estimates the air pollution damages for each industry in the United States. An inte-grated-assessment model quanti!es the marginal damages of air pol-lution emissions for the US which are multiplied times the quantity of emissions by industry to compute gross damages. Solid waste com-bustion, sewage treatment, stone quarrying, marinas, and oil and coal-!red power plants have air pollution damages larger than their value added. The largest industrial contributor to external costs is coal-!red electric generation, whose damages range from 0.8 to 5.6 times value added. (JEL E01, L94, Q53, Q56)

* Muller: Department of Economics, Environmental Studies Program, Middlebury College, 303 College Street, Middlebury, VT 05753 (e-mail: nmuller@middlebury.edu); Mendelsohn: School of Forestry and Environmental Studies, Yale University, 195 Prospect Street, New Haven, CT 06511 (e-mail: robert.mendelsohn@yale.edu); Nordhaus: Department of Economics, Yale University, 28 Hillhouse, New Haven, CT, 06511 (e-mail: william.nordhaus@yale.edu) The authors wish to thank the Glaser Progress Foundation for their generous support of this research. Muller acknowledges the support of the USEPA: EPA-OPEI-NCEE-08-02. We also would like to thank seminar participants at Yale University, Harvard University, USEPA, NBER, and the anonymous referees for their helpful comments.

† To view additional materials, visit the article page at http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.5.1649.

Before we start - a bit of extra motivation

Thursday, November 10, 2011

American Economic Review 101 (August 2011): 1649–1675http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.5.1649

1649

An important and enduring issue in environmental economics has been to develop both appropriate accounting systems and reliable estimates of environmental dam-ages (Wassily Leontief 1970; Yusuf J. Ahmad, Salah El Serafay, and Ernst Lutz 1989; Nordhaus and Edward Charles Kokkelenberg 1999; Kimio Uno and Peter Bartelmus 1998).

Some of this literature has focused on valuing natural resources such as water resources, forests, and minerals (Henry M. Peskin 1989; World Bank 1997; Robert D. Cairns 2000; Haripriya Gundimeda et al. 2007; Michael Vardon et al. 2007). Other studies have focused on including pollution. For example, the earliest papers that focused on pollution relied on material !ows analysis to calculate the tons of emissions per unit of production by industry (Robert U. Ayres and Allen V. Kneese 1969). This has been formalized in the Netherlands (Steven J. Keuning 1993) and in Sweden (Viveka Palm and Maja Larsson 2007). The materials-!ow approach is use-ful for tracking physical !ows, but it is inappropriate for national economic accounts because it does not contain values and because the damages associated with differ-ent source locations and toxicity are not included.

This paper contributes to this literature in two ways. First, we present a frame-work to integrate external damages into national economic accounts. The gross

Environmental Accounting for Pollution in the United States Economy †

By N"#$%&'( Z. M)&&*+, R%,*+- M*./*&(%$., './ W"&&"'0 N%+/$')(*

This study presents a framework to include environmental externali-ties into a system of national accounts. The paper estimates the air pollution damages for each industry in the United States. An inte-grated-assessment model quanti!es the marginal damages of air pol-lution emissions for the US which are multiplied times the quantity of emissions by industry to compute gross damages. Solid waste com-bustion, sewage treatment, stone quarrying, marinas, and oil and coal-!red power plants have air pollution damages larger than their value added. The largest industrial contributor to external costs is coal-!red electric generation, whose damages range from 0.8 to 5.6 times value added. (JEL E01, L94, Q53, Q56)

* Muller: Department of Economics, Environmental Studies Program, Middlebury College, 303 College Street, Middlebury, VT 05753 (e-mail: nmuller@middlebury.edu); Mendelsohn: School of Forestry and Environmental Studies, Yale University, 195 Prospect Street, New Haven, CT 06511 (e-mail: robert.mendelsohn@yale.edu); Nordhaus: Department of Economics, Yale University, 28 Hillhouse, New Haven, CT, 06511 (e-mail: william.nordhaus@yale.edu) The authors wish to thank the Glaser Progress Foundation for their generous support of this research. Muller acknowledges the support of the USEPA: EPA-OPEI-NCEE-08-02. We also would like to thank seminar participants at Yale University, Harvard University, USEPA, NBER, and the anonymous referees for their helpful comments.

† To view additional materials, visit the article page at http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.5.1649.

coal-fired power plants have air pollution damages larger than theirvalue added. The largest industrial contributor to external costs iscoal-fired electric generation, whose damages range from 0.8 to 5.6times value added

Before we start - a bit of extra motivation

Thursday, November 10, 2011

Global wind resource

Thursday, November 10, 2011

Jacobson et al. 2009

Wind Resource

Thursday, November 10, 2011

Wind ResourceWind energy potential at 100 m

Jacobson et al. 2010Thursday, November 10, 2011

Thursday, November 10, 2011

Wind ResourceThursday, November 10, 2011

Wind ResourceThursday, November 10, 2011

Wind ResourceThursday, November 10, 2011

Modern wind turbine history

Thursday, November 10, 2011

Modern wind harvesting history1888, USA Cleveland Ohio, 17 m diameter,

12 Kw rated power, 20 year life time, charged lead acid batteries (stand alone system)

Thursday, November 10, 2011

Modern wind harvesting history

1980 - Bonus 30 Kw

Thursday, November 10, 2011

Modern wind 2 Mw machines and more

Thursday, November 10, 2011

Modern wind Source: Garrad Hassan

2 Mw machines and more

Thursday, November 10, 2011

Modern wind 2 Mw machines and more

Thursday, November 10, 2011

Wind energy theory

Thursday, November 10, 2011

How much can we get out of the wind?

Thursday, November 10, 2011

Wind energy exploitation

• How much energy can we get out of the wind?

• Wind turbine production profile

Thursday, November 10, 2011

Energy vs. wind speed

Thursday, November 10, 2011

Energy vs. wind speed

Thursday, November 10, 2011

Energy vs. wind speed

Thursday, November 10, 2011

Energy vs. wind speed

12mv2 = 1

2·ρAvt·v2 = 1

2ρAtv3

Thursday, November 10, 2011

Energy vs. wind speed

12mv2 = 1

2·ρAvt·v2 = 1

2ρAtv3

12mv2

t= 12ρAv3

Thursday, November 10, 2011

Swept areaThursday, November 10, 2011

Swept areaThursday, November 10, 2011

S = Swept AreaThursday, November 10, 2011

P = 12ρSV 3Cp[Watt]

ρ = wind density [Kg /m3]S = swept area [m2 ]V = wind speed [m / s]Cp = power coefficient < 0.593

Thursday, November 10, 2011

Energy density

P = 12ρV 3 Watt

m2⎡⎣⎢

⎤⎦⎥

P = 121.225·63 = 132 Watt

m2⎡⎣⎢

⎤⎦⎥

Thursday, November 10, 2011

Power curve

1 2 3 4

Thursday, November 10, 2011

Power curve

1 2 3 4

P = 12ρSV 3Cp[Watt]

Thursday, November 10, 2011

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

• To calculate the energy the turbine will produce in a given time - say 1 hour, we need the average wind speed during this hour

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

• To calculate the energy the turbine will produce in a given time - say 1 hour, we need the average wind speed during this hour

• The energy is measured in kWh - kilo-Watt-hour

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

• To calculate the energy the turbine will produce in a given time - say 1 hour, we need the average wind speed during this hour

• The energy is measured in kWh - kilo-Watt-hour

• this is equal to

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

• To calculate the energy the turbine will produce in a given time - say 1 hour, we need the average wind speed during this hour

• The energy is measured in kWh - kilo-Watt-hour

• this is equal to

• one thousand watt operating for a hour

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

• To calculate the energy the turbine will produce in a given time - say 1 hour, we need the average wind speed during this hour

• The energy is measured in kWh - kilo-Watt-hour

• this is equal to

• one thousand watt operating for a hour

• a 100 watt operating for 10 hours

Power vs. energy

Thursday, November 10, 2011

• The power curve of the turbine is measured in watts vs. m/s

• To calculate the energy the turbine will produce in a given time - say 1 hour, we need the average wind speed during this hour

• The energy is measured in kWh - kilo-Watt-hour

• this is equal to

• one thousand watt operating for a hour

• a 100 watt operating for 10 hours

• kWh = Watt X hour / 1000

Power vs. energy

Thursday, November 10, 2011

TechnologyVAWT - HAWT, Lift - Drag, Big - Small

Thursday, November 10, 2011

What a good WT does

• Follows the wind

• Extracts wind energy with high efficiency

• Low cost of energy

• Low maintenance costs

• Long life

Thursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWT

7I7T 7hT

6-10. Horizontal-axis configurations. Upwind, downwind, one blade or two-it's all been tried at one time or another.led from j. W. Twidell and A. D. Weir, Renewable Energy Resources.

7I7T 7hT

6-10. Horizontal-axis configurations. Upwind, downwind, one blade or two-it's all been tried at one time or another.led from j. W. Twidell and A. D. Weir, Renewable Energy Resources.

Thursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

HAWTThursday, November 10, 2011

VAWTThursday, November 10, 2011

VAWT

~///}////////

Figure 6-4. Darrieus configurations. There are several other Darrieus configurations besides the common eggbeaterdesil!n.

~///}////////

Figure 6-4. Darrieus configurations. There are several other Darrieus configurations besides the common eggbeaterdesil!n.

Thursday, November 10, 2011

VAWTThursday, November 10, 2011

VAWTThursday, November 10, 2011

VAWTThursday, November 10, 2011

VAWTThursday, November 10, 2011

VAWTThursday, November 10, 2011

VAWTThursday, November 10, 2011

BIG - small

Thursday, November 10, 2011

BIG - small

Thursday, November 10, 2011

BIG - small

Thursday, November 10, 2011

Tilt up tower

Thursday, November 10, 2011

Aerodynamic control in high winds

Thursday, November 10, 2011

Aerodynamic control in high winds

Thursday, November 10, 2011

Aerodynamic control in high winds

Thursday, November 10, 2011

Aerodynamic control in high winds

Systems furls its HR3 "'vu~, -running position. This design includes a winch and cable for manually furling the turbine,rip I'ohlriin np Ins Recursos Energeticos in Punta Arenas, Chile.

Systems furls its HR3 "'vu~, -running position. This design includes a winch and cable for manually furling the turbine,rip I'ohlriin np Ins Recursos Energeticos in Punta Arenas, Chile.

Thursday, November 10, 2011

Aerodynamic control in high winds

Thursday, November 10, 2011

Aerodynamic control in high winds

Thursday, November 10, 2011

Technology summary

Thursday, November 10, 2011

Technology summary

-Marlec910F

_A;,.", - RWr.on-Marlec910F

_A;,.", - RWr.on

P = 12ρSV 3Cp[Watt]

Thursday, November 10, 2011

Technology summary

Figure 1-1. Small wind turbine nomenclature. (1) Spinner or nose cone.(2) Rotor blades. (3) Direct-drive alternator. (4) Mainframe. (5) Yawassembly. (6) Slip rings and brushes. (7) Tail vane. (8) Nacelle cover. (9)Winch for furling the rotor out of the wind. (Bergey Windpower)

Figure 1-1. Small wind turbine nomenclature. (1) Spinner or nose cone.(2) Rotor blades. (3) Direct-drive alternator. (4) Mainframe. (5) Yawassembly. (6) Slip rings and brushes. (7) Tail vane. (8) Nacelle cover. (9)Winch for furling the rotor out of the wind. (Bergey Windpower)

Thursday, November 10, 2011

• Rural areas - Small and medium wind turbines

• Main concern - noise

• Non issues -

• Birds

• EM radiation

• Shadow flickr

• View obstruction

Environmental considerations

Thursday, November 10, 2011

Noise

Figure 13-22. Calculated and meas-ured noise emissions. This chart

1989 on the relationship between

that diameter could substitute for tipspeed and hence determine soundpower. The top line was derived fromdata on experimental large turbinesdeveloped in the late 1970s and early1980s. The bottom line was derivedfrom data on commercial wind tur-

bines being installed in the late 1980s.Published data for commercial tur-bines in use from the 1990s through2000 has been added. Noise emis-sions from small turbines at the WulfTest Field and other test sites are alsoincluded.

Sound Power level dBA120

-19805 -19905. 1999 . Small

. Micro

L=22 log D + 72110

100

~

..90

L=22 log 0 + 6580

70

6010010

Diameter (meters)

Figure 13-22. Calculated and meas-ured noise emissions. This chart

1989 on the relationship between

that diameter could substitute for tipspeed and hence determine soundpower. The top line was derived fromdata on experimental large turbinesdeveloped in the late 1970s and early1980s. The bottom line was derivedfrom data on commercial wind tur-

bines being installed in the late 1980s.Published data for commercial tur-bines in use from the 1990s through2000 has been added. Noise emis-sions from small turbines at the WulfTest Field and other test sites are alsoincluded.

Sound Power level dBA120

-19805 -19905. 1999 . Small

. Micro

L=22 log D + 72110

100

~

..90

L=22 log 0 + 6580

70

6010010

Diameter (meters)

Thursday, November 10, 2011

NoiseThursday, November 10, 2011

NoiseThursday, November 10, 2011

Wind speed Variability

Thursday, November 10, 2011

Short term speed fluctuations

Thursday, November 10, 2011

Long term speed distribution

Thursday, November 10, 2011

Yearly fluctuations

Thursday, November 10, 2011

Wind production vs. consumption in Denmark

Source: www.energinet.dk

hours

Mw

Dealing with variability in a grid connected system

Thursday, November 10, 2011

Wind production vs. consumption in Denmark

Source: www.energinet.dkStorm fronthours

Mw

Dealing with variability in a grid connected system

Thursday, November 10, 2011

T+1 hour T+12 hour

Source: Garrad Hassan

Dealing with variability in a grid connected system

Thursday, November 10, 2011

Dealing with variability for off grid systems

Thursday, November 10, 2011

Dealing with variability for off grid systems

Diverts the electricity according to battery status

Thursday, November 10, 2011

Dealing with variability for off grid systems

Stores the excess energy (wind is blowing but nobody is using the electricity)

Thursday, November 10, 2011

Dealing with variability for off grid systems

when the battery is full (and the wind is blowing)

Thursday, November 10, 2011

Dealing with variability for off grid systems

Thursday, November 10, 2011

A word about loads

• The “Dump load” is a load used when the battery is full

• A “load” is any electrical appliance connected to the battery

• Such as

• light bulbs

• TV/radio

• computer

• cell phone charger

• Sewing machines ...

Thursday, November 10, 2011

Estimating the resource

Thursday, November 10, 2011

Looking at the long term distribution again

Thursday, November 10, 2011

Wind atlas

• Several resources:

• SWERA

• NREL

• RISOE

• Include average yearly wind speed at several heights, and energy density

Thursday, November 10, 2011

Wind atlas

• Several resources:

• SWERA

• NREL

• RISOE

• Include average yearly wind speed at several heights, and energy density

Thursday, November 10, 2011

Wind atlas

• Several resources:

• SWERA

• NREL

• RISOE

• Include average yearly wind speed at several heights, and energy density

Thursday, November 10, 2011

How to Estimate average yearly/monthly/daily production

Thursday, November 10, 2011

How to Estimate average yearly/monthly/daily production

Using the wind speed distribution

Thursday, November 10, 2011

How to Estimate average yearly/monthly/daily production

Using the wind speed distribution

multiplying by the power curve

Thursday, November 10, 2011

How to Estimate average yearly/monthly/daily production

Using the wind speed distribution

multiplying by the power curve

summing up to receive the AEP

Thursday, November 10, 2011

E = 12ρV 3·1.91[W /m2 ]

f (u) = uV 2 e

−12

uV

⎛⎝⎜

⎞⎠⎟2

• For k = 2, we get the Rayleigh distribution:• Starting from the Weibull distribution.

• For the Rayleigh distribution the energy density can be calculated in a simpler way:

• where 1.91 comes from the form of the Rayleigh distribution.

A more simplistic way to estimate the AEP

Thursday, November 10, 2011

Simple AEP estimates

AEP = 87601000

E·πD2

4Cp[Kwh / year]

E: power density from wind atlas, or measurementCp: power coefficient 0.2-0.25 for small windD: diameter

Thursday, November 10, 2011

Simple AEP estimates

Thursday, November 10, 2011

Capacity Factor (CF)• Alternative way to describe the wind resource

at a site

• Used wildly in the energy sector - not just in wind energy

• The capacity factor is a function of the wind distribution and the power curve

• But can be estimated for a generic power curve

AEP = 8760 × P ×CF[kwh / year]

Thursday, November 10, 2011

On land wind capacity factor

Thursday, November 10, 2011

Measurement campaign

• Minimal equipment

• 10 meter tilt up tower

• Single Anemometer

• Best practice

• 15 meter tilt up tower

• 2 Anemometers

• 1 wind vane

• 1 temperature probe

• Alternatives

• Install small wind turbine immediately

Thursday, November 10, 2011

Measurement campaign

• Minimal equipment

• 10 meter tilt up tower

• Single Anemometer

• Best practice

• 15 meter tilt up tower

• 2 Anemometers

• 1 wind vane

• 1 temperature probe

• Alternatives

• Install small wind turbine immediately

Thursday, November 10, 2011

Measurement campaign

• Minimal equipment

• 10 meter tilt up tower

• Single Anemometer

• Best practice

• 15 meter tilt up tower

• 2 Anemometers

• 1 wind vane

• 1 temperature probe

• Alternatives

• Install small wind turbine immediately

Thursday, November 10, 2011

Wind shear

• Wind speed increases with height

• Putting a small turbine on a tall tower is aways a good economic move

• Insures steady winds - longer life for the blades

Thursday, November 10, 2011

Economic considerations

Thursday, November 10, 2011

Wind development costs

• Pre-feasibility study

• Big wind - major effort, 200,000$ / Mw

• Off grid small wind - basic measurement campaign, trial and error. 200-1000$ for measurement system.

• Wind turbine system

• Battery bank, Inverter

• BOS (cables, breakers ...)

Thursday, November 10, 2011

Example costs - Battery-less wind turbine system (Installed cost)

Thursday, November 10, 2011

Diameter [m]

Swept area [m^2]

cost [$]Avg. wind speed

Energy production

Simplistic cost of energy (15 year life time)

2 3.142000 $/m^2 X

3.14 m^2 = 6280$

4 m/s

120 kwh/m^2/year X 3.14 m^2 = 376.8

kwh/year

1.1 $/kwh

2 3.14 $6280 5 m/s

260 kwh/m^2/year X 3.14 m^2 = 816.4

kwh/year

0.51 $/kwh

Example costs - Battery-less wind turbine system (Installed cost)

Thursday, November 10, 2011

Balance of system

• Charge controller

• Dump load

• Battery

• System meter

• Inverter

Thursday, November 10, 2011

Balance of system

• Charge controller

• Dump load

• Battery

• System meter

• Inverter

Included in previous assessment

Thursday, November 10, 2011

Crash course on Batteries

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

• Many different models

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

• Many different models

• A car battery is cheap - and lasts 1-3 years

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

• Many different models

• A car battery is cheap - and lasts 1-3 years

• A deep-discharge battery is more expansive, but lasts longer

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

• Many different models

• A car battery is cheap - and lasts 1-3 years

• A deep-discharge battery is more expansive, but lasts longer

• Typical voltage is 12 volts

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

• Many different models

• A car battery is cheap - and lasts 1-3 years

• A deep-discharge battery is more expansive, but lasts longer

• Typical voltage is 12 volts

• Capacity measured in Ah

Thursday, November 10, 2011

Crash course on Batteries

• The heart of an off-grid electric system

• Typically Lead-acid

• 150 year old technology

• Many different models

• A car battery is cheap - and lasts 1-3 years

• A deep-discharge battery is more expansive, but lasts longer

• Typical voltage is 12 volts

• Capacity measured in Ah

• Energy is AhXVolt/1000 in kWh

Thursday, November 10, 2011

Example battery costs

Thursday, November 10, 2011

Example battery costs

• Israel battery costs (Lead Acid): (source: Comet-ME)

• Gel type - 1000 shekel/90Ah 12V (Israel manufacturer) ~ 250$/kWh, ~50$/kWh/year

• 3000Ah 48V OPZF (2V units) OPK (15 year life) 85,000 euro (German manufacturer) ~820$/kWh, ~55$/kwH/year

Thursday, November 10, 2011

Example inverter costs

Thursday, November 10, 2011

Dealing with battery costs• Batteries are used frequently in rural areas

• Charged occasionally by transporting to the closest grid connected town for a considerable cost

• If batteries are bought specifically for the wind project they can become a major cost of the system

• If the batteries exist already, they can be charged more cheaply by the wind turbine

Thursday, November 10, 2011

Example meter costs• Using a meter to measure the electricity

used is crucial to success of wind-project

• simple meter 100$-150$

• Pay by use meter - costs are the same, but software is expensive - one time licensing fee 10,000Euro

• There is a standard in the world for these type of systems (the encoding method)

Thursday, November 10, 2011

Next up -Examples and case studies

part 2

Thursday, November 10, 2011

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