innovation in wind

39
Innovation in Wind WIND ASSURING CONFIDENCE THROUGH COMPETENCE Fraunhofer IWES Andreas Reuter © Fraunhofer

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Page 1: Innovation in Wind

Innovation in Wind

WIND ASSURING CONFIDENCE

THROUGH COMPETENCE

Fraunhofer IWES

Andreas Reuter

copy Fraunhofer

Wind Market Outlook

Innovation cycles over the last 30 years

Innovation 1 Drive Train Testing

Innovation 2 Large Rotor Blades

Innovation 3 New Offshore Turbines

Innovation 4 Wind in the Future Energy Supply

Overview

copy Fraunhofer

Wind Market Outlook

Wind market growth until 2018

Cost Reduction Perspective for the next 10 years

Wind onshore

Innovation cycles over the last 30 years

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 2: Innovation in Wind

Wind Market Outlook

Innovation cycles over the last 30 years

Innovation 1 Drive Train Testing

Innovation 2 Large Rotor Blades

Innovation 3 New Offshore Turbines

Innovation 4 Wind in the Future Energy Supply

Overview

copy Fraunhofer

Wind Market Outlook

Wind market growth until 2018

Cost Reduction Perspective for the next 10 years

Wind onshore

Innovation cycles over the last 30 years

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 3: Innovation in Wind

Wind Market Outlook

Wind market growth until 2018

Cost Reduction Perspective for the next 10 years

Wind onshore

Innovation cycles over the last 30 years

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 4: Innovation in Wind

Wind market growth until 2018

Cost Reduction Perspective for the next 10 years

Wind onshore

Innovation cycles over the last 30 years

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 5: Innovation in Wind

Cost Reduction Perspective for the next 10 years

Wind onshore

Innovation cycles over the last 30 years

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 6: Innovation in Wind

Innovation cycles over the last 30 years

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 7: Innovation in Wind

GROWIAN

Variable speedPitch control

Danish concept

Constant speedStall Pitch

Multi MW

Variable speedPitch control

Multi MW

Variable speedPitch controlDirect drive

Innovation level

1985 1992 1995 1997

Innovation cycles over the past decades

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 8: Innovation in Wind

Vestas V90

Compact drive

GE 15

Large scaleproduction

Offshore Turbines

bdquoNo RiskldquoTurbines

New concepts

2-BladedDownwindDirect drive

Innovation level

2002 2004 2006 2012

Innovation cycles over the past decades

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 9: Innovation in Wind

2020

Size matters ndash and also the rating of a turbine

2012

2013

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 10: Innovation in Wind

Innovation 1 Drive Train Testing

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 11: Innovation in Wind

Test rig concept

16012014 copy Fraunhofer11

specimen

Test-rig layout

10 MW drive

Drive configuration 5deg inclined

Load application

Specimen 2 - 8 MW (bis 400 t)

LxWxH (18x12x13 m)Electrical input

Mechanical input

Load application

adapter

drive

Source IWESIDOM

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 12: Innovation in Wind

16012014 copy Fraunhofer12

10 (15) MW drive

8600 kNm rated torque (11 rpm)

13000 kNm overload (lt 6 minutes)

Max rotaional speed 25 rpm

Compact and stiff drive train

Torsional stiff coupling allowing displacements

1 Eigenfrequency ca 10 Hz controllable up to 20 Hz

Test rig drive train

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 13: Innovation in Wind

Load application

16012014 copy Fraunhofer13

5 dof (moment bearing)

Thrust plusmn 1900 kN

Bending plusmn 20000 kNm

(rotating y- und z-axis)

Dynamic 0-2 Hz (30 of max load)

Onshore-WEA Red loads higher

dynamics

Load compensation (100 t)

15 MW hydraulic power

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 14: Innovation in Wind

DyNaLab ndash Hardware-in-the-loopEchtzeitmodelle der WEA

Testen der realen Hardware

im Closed-Loop-Betrieb

Dyn load-

model

wind

(aerodynamics)

Wave effects

founding

soil-interactiononline-wind amp

turbine simulation RT

I-

test

data

WT-model

Development environment amp

Offline data processingReal-time Hardwaredata preprocessing

test model

Wind turbine model

rotor

tower

foundation

WT-

controller

RTI-

control

DyNaLab

Test Bench Control

Test B

en

ch

Mu

lti-

ch

an

nelM

easu

rin

g

WT-model

EtherCat

Load application

16012014 copy Fraunhofer14

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 15: Innovation in Wind

Electrical tests and grid simulation

16012014 copy Fraunhofer15

15 MVA grid connection

40 MVA 5060Hz transient power

Voltage level 10|20|36 kV

Control strategies

Artificial grid

Failure reproduction (eg short circuits)

MV connection panel

20kV AC-busbar

3kV DC-busbar

20kV 3kV 3kV

15MVAgrid-filter

2 x 6 MW

2 x 8 MW

2 x 5 MW

Prime mover

2 - 75 MW

NV-Distribution

3kV3kV 10|20|33kV

2x20 MVA

measuring fields

2 x 10MVA 2 x 10MVA

05-1MW

active Filter

400V 10|20|33kV

1MVA

fine

grid-filter

coarse

grid-filter

MV-Grid-simulation

4Q-Converter

(prime mover)

4Q-Converter

(test rig supply)

MV grid

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 16: Innovation in Wind

Testing for higher Reliability amp Risk-Mitigation

There are different focuses at Component Sub- amp System Testing

Prototype development optimization

Design verification analysis model validation

End of line production conformity quality assurance

Certification Tests Support for Certification process

Accelerated lifetime and reliability testing (HALT HASS)

To prove design properties and to optimize the components in terms of

mass durability reliability and costs testing is essential

What is essential (Approach IWES + Industrial PartnersCustomers)

Field data amp experience suitable models amp data analysis algorithms

Knowledge of failure root causes and mechanisms

Suitable Test Technology (Test hardware) amp Procedures

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 17: Innovation in Wind

05122014 copy Fraunhofer

System-Competence amp TestinfrastructurV

lowering bdquoCost of Energyldquo

Testing Validation Optimization Inspection

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 18: Innovation in Wind

Innovation 2 Large Rotor Blades

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 19: Innovation in Wind

Source J P Molly DEWI GmbH

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 20: Innovation in Wind

Some basics in physics similarity laws

Absolut Relative

Power P=ρ2 cp(λ) v3 R2 π R2

Speed R-1

Weight R3

Area surface R2

Weight loading R1

Growth is challenging

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 21: Innovation in Wind

D

Influence of dead weight

L

D DiameterL LengthF Dead weightM max bending moment

due to dead weightW Moment of elasticitysmax max StressMu allowable bending

moment

F=Lfrac14pDsup2r

M=frac12FL

W=132pDsup3

smax = MW

Mu= smaxW

I Rod

d

II Tube

F=Lfrac14p(Dsup2-dsup2)r

M=frac12FL

W=132 p(D4-d4)D

smax = MW

Mu= smaxW

D

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 22: Innovation in Wind

Rod or tube D = 10mGlass-Epoxy r = 23000 Nmsup3 smax = 800 Nmmsup2 Carbon-Epoxy r = 5333 Nmsup3 smax = 800 Nmmsup2

Influence of dead weight

0 20 40 60 80 100 120 140 160 180

II Tube d= 098D

II Tube d= 080D

I Rod

length [ m ]

GFK

CFK

Possible blade

length in coming

years

Current

d

D

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 23: Innovation in Wind

Materials and Processes

Blade related processes

Fibre Placement

Bonding and bonding processes

Curing

Post mold processes and finish

Assesment

SINOI 2009

wwwmodwindcom

wwwbladedynamicscom

wwwneptcocom

241252014 copy Fraunhofer

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 24: Innovation in Wind

New developments on the material side

05122014 copy Fraunhofer

Instead of going for Carbon

Glass qualities improve still further

VF glass higher from 50 to 6070 requires absolutely flat fibres

Manufacturing process tightly controlled

CNTs can we guarantee an even distribution of CNTs in every 01 mm2 in the whole blade

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 25: Innovation in Wind

Rotor Concepts

Aeroix

Spinner and its elements

Rotor blade optimization

Passive systems for load reduction

Active systems for load reduction

New concepts eg kites

bdquoSmart Bladesldquo

windscannereu by Risoslash DTUSmart Rotor by TU Delft

NREL

Nautica Windpower

Sandia

261252014 copy Fraunhofer

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 26: Innovation in Wind

SmartBlades

Development of smart rotor blades

Tool and model development

Integrated blade design

Component development and test

Manufacturing technology

Load reduction for blades and turbines especially WT gt 5MW

Reduction of cost of energy

Technology demonstration

Investigation of three technologies

Passiv

Active flaps

Active slats

Partners

DLR

Fraunhofer ndash IWES

ForWind (Uni OL und Uni H)

Duration 1212 ndash 0216 Budget 126 Meuro

1252014 copy Fraunhofer27

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 27: Innovation in Wind

Innovation 3 New Drive Trains

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 28: Innovation in Wind

copy Fraunhofer IWES

double bearing

tower interface

blade interface

hubDD-Rotor

Main frame

generator stator

blade interface

ldquoKing pinrdquo

Principle

Hub-Generator Turbine Approach

Design Concept Approaches

Generator DD-PMSG High flux approach

Suspension double suspension Standard bearing

Highest Integration level by Hub-drive

Possible rated power 3 ndash 8 MW

Hubblade interface material Iron or Alu-cast

ldquoReducedrdquo active pi tch ed blade length

Benefitshighly integrated ldquodrive t

r

ai nrdquo

Reduced tower head mass

Separate hub is no longer necessary

Shorter blades for same rotor diameter

Segmented RotorHub (logistics mass production)

Nearly no load related deformation of generator airgap

( high efficiency amp low load-sensibility Design)

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 29: Innovation in Wind

Innovation 4 Wind in the Future Energy Supply

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 30: Innovation in Wind

Wind as part of the future energy supply

ldquoIf Alexander Graham Bell were somehow transported to the 21st century

he would not begin to recognize the components of modern telephony ndash

cell phones texting cell towers PDAs etc while Thomas Edison one

of the gridrsquos key early architects would be totally familiar with the

grid

[ ldquoFinal report on smart grid Dept of Energy Report Dec 2008]

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 31: Innovation in Wind

March 2007 NZWEA34

Two approaches to connection

Invest and Connect

Common approach on transmission

Minimises constraint costs

Delays for connections due outage

planning planning consents

Wind projects with planning permission

are delayed

Planning permission can run out whilst

waiting

Connect and Manage

Approach proposed by renewables

industry

Constraint will be higher

Constraint costs can be managed

No stranded assets

Proven need in planning enquiries for new

transmission assets

Generators can connect as soon as local

assets are built

Low risk of planning permission expiry

Immediate benefit to emissions

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 32: Innovation in Wind

March 2007 NZWEA35

Comparing

Ireland

Eirgrid is System Operator

GATErsquod development

Reinforcement costs shared

Constrain until reinforcement completed

Curtail when necessary

Great Britain

NGET is TSO

Existing North South flows increasing with

wind

ldquoinvest and connect policyrdquo

Will not connect and curtail

~10+ years delay for wind projects

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 33: Innovation in Wind

Future Wind Power in a Smart EnvironmentA smart community is a town in which residents workers and business enterprises carry out sustainable earth-friendly action autonomously thereby improving the local infrastructure and social system

Image of a Smart Community

5

New-generation

Gas Station

Zero

Emission

Buildings

Cogeneration

Solar Power

Wind Power

Energy Management System

GE GE

Solar Power

Smart House

Storage

Battery

Biogas

Wind Power

Mega Solar

Na-S Battery

EVs and PHEVs

Enable better use of

heat in addition to

electricity

Construct an energy system which is mutually

beneficial for main grid operator and regional

energy management provider

Home Storage

Battery

Waste Heat

Utilize IT for

peak cuts

Regional Energy

Management Provider

Construct charging

stations for EVs

GE GE

Information Network

Smart Meter

Visualization of home

energy use and

demand control

Connect BEMS with

regional EMS

Main Grid

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 34: Innovation in Wind

Covers 110000 of Germanys load curve at any time ndash control of real plants

Wind Solar Biogas HydroImport

Export

126 MW 55 MW 40 MW 10 MW 10 MW

The Renewable Power Plant

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 35: Innovation in Wind

storagetransport

windpower

heat

traffic

sources consumption

power grid

gas grid

sun

compensation

gas storage

atmosphere biomass waste(fossil fuels)

tank

electrolysisH2-tank methan-

ation

renewable power methane plant

gasfired power plants

Linking the Electricity Market with other Energy Markets

Thank you for your attention Questions

Page 36: Innovation in Wind

Thank you for your attention Questions