F&U som støtte for innovation og konkurrencedygtighed

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F&U som støtte for innovation og konkurrencedygtighed

Madsen, Peter Hauge; Buhl, Thomas

Publication date:

2014

Link back to DTU Orbit

Citation (APA):

Madsen, P. H. (Forfatter), & Buhl, T. (Forfatter). (2014). F&U som støtte for innovation og konkurrencedygtighed.

Lyd og/eller billed produktion (digital)

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F&U som støtte for innovation og konkurrencedygtighed

Peter Hauge Madsen & Thomas Buhl Institut for Vindenergi, DTU

Offshoreenergy.dk’s årsmøde 23. og 24. oktober 2014 i Odense

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DTU Wind Energy, Technical University of Denmark

2 23.10.2014

DTU’s Mission

DTU skal udvikle og nyttiggøre naturvidenskab og teknisk

videnskab til gavn for samfundet.

(4)

3 23.10.2014

DTU’s Mission

DTU skal udvikle og nyttiggøre naturvidenskab og teknisk

videnskab til gavn for samfundet.

In no vat io n

23.10.2014

F&U -teori

-eksperimenter

Viden

Forståelse

Modeller

Uddannelse Standarder Koncept ideer

Beregningsværktøjer Validering & test

Rådgivning & analyse

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4 23 October

2014

Detailed

design •Material and shape optimization

Component

level •Topology and size optimization

Turbine level

•Integrated design

•Many loads

•Control

Wind Farm level

•Mass manufacturing

•Farm layout

•Performance

Portfolio level

•Production, value chain optimization

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5 23 October

2014

Detailed

Component

Turbine level

•Many loads

•Control

Wind Farm level

•Farm layout

•Performance

Portfolio level

(7)

6 23 October

2014

Detailed

Component

Turbine level

•Many loads

•Control

Wind Farm level

•Farm layout

•Performance

Portfolio level

(8)

7 23 October

2014

Detailed

Component

Turbine level

•Many loads

•Control

Wind Farm level

•Farm layout

•Performance

Portfolio level

(9)

8 23 October

2014

Detailed

Component

Turbine level

•Many loads

•Control

Wind Farm level

•Farm layout

•Performance

Portfolio level

(10)

9 23 October

2014

Detailed

Component

Turbine level

•Many loads

•Control

Wind Farm level

•Farm layout

•Performance

Portfolio level

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FP7 project – Design Tool for Offshore Wind Farm Clusters

Progress is to achieve a robust design tool for planning of offshore wind farms. The progress include benchmark analysis of several wake models using production data, investigation on some uncertainties on annual

energy production and study of inter- and intra-array grid possibilities for

the offshore.

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EERA DTOC concept

Main Components

• Use and bring together existing models from the partners

• Develop open interfaces between them

• Implement a shell to integrate

• Fine-tune the wake models using dedicated

measurements

• Validate final tool

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Fuga – wake model for large offshore windfarms

• Solves linearized RANS equations

• Latest version incorporates: atmospheric stability, meandering, effects of non- stationarity and spatial de-correlation of the flow field.

• No computational grid, no numerical diffusion, no spurious pressure gradients

• Integration with WAsP: import of wind climate and turbine data.

• Fast, mixed-spectral solver:

– 10⁶times faster than conventional RANS!

– 10⁸to 10¹⁰times faster than LES!

Hornsrev validation

* Søren Ott, Jacob Berg and Morten Nielsen: ‘Linearised CFD Models for Wakes’, Risoe-R-1772(EN), 2011 Fuga ±2.5° bin, meandering,

decorrelation Measurements

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EERA DTOC portfolio of models

13

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TOPFARM

14

TOPFARM is a fundamentally new approach to layout optimization of wind farms. From the investor’s perspective the TOPFARM platform answers the fundamental question:

“What kind of layout results in the optimal economical performance of the wind farm throughout its lifetime”.

The balance between power, loads and costs Measurement of deficit in atm.

boundary layer wind tunnel

Wake meandering assumption in DWM Middelgrunden layout as of now

and as results of the TOPFARM optimization.

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CFD for detailed loads Dynamics of floating

wind turbines Load models for highly

nonlinear waves

Aero-elastic response to waves and wind

Wind-wave loads and response for offshore

wind turbines

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Offshore wind turbine control system

• Power production

o Generator torque control o Collective pitch control

• Extreme and fatigue load reduction o Drive train damper (T

_G

)

o Exclusion zone (T

_G

)

o Tower for-aft mode damper (CPC) o Thrust peak shaver (CPC)

100 200 300 400 500 600 700

5 5.5 6 6.5 7 7.5 8

ωr [rpm]

t [s]

Rotor angular speed

w/o fatigue control with fatigue control

100 200 300 400 500 600 700

-2 -1 0 1 2

ass [m/s2]

t [s]

Tower top side-to-side acceleration

2 4 6 8 10 12 14 16 18

0 2 4 6 8 10 12

P ele [MW]

Wind speed [m/s]

New Org

(-0.18%)

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0 5 10 15 20 25

200 400 600 800 1000 1200 1400 1600

Thrust [kN]

Wind speed [m/s]

w/o fatigue con.

with fatigue con.

9 9.5 10 10.5 11 11.5 12 12.5 13

-2 -1 0 1 2 3 4 5 6 7 8 9

Wind speed [m/s]

β [deg]

w/o fatigue con.

with fatigue con.

Collective pitch control

• Thrust peak shaving

F_T

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JacketOpt

Topologies

– Classical four legged jackets – Classical three legged jackets

– Pod-like structures (three or four legs) – Full-lattice towers (three or four legs) – Monopiles

– User defined structures

18 23 October

2014

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JacketOpt

Design variables (outer)

– Overall dimensions within bounds – Placement of X-braces within bounds Design variables (inner)

– Member diameters within bounds – Member thickness within bounds

19 23 October

2014

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JacketOpt GUI

20 23 October

2014

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A preliminary example for INNWIND.EU

DTU 10 MW reference turbine – Hub height 119 m

– Rotor mass 229 tons – Nacelle mass 446 tons – Tower mass 505 tons

Four legs and four levels of X-braces Minimum mass design

Max tower top displacement 2.25 m

First and second frequency between 1P and 3P Third and fourth frequency above 6P

Static loads only!

No fatigue constraints!

21 23 October

2014

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A preliminary example for INNWIND.EU

DTU 10 MW reference turbine – Hub height 119 m

– Rotor mass 229 tons – Nacelle mass 446 tons – Tower mass 505 tons

Four legs and three levels of X-braces Minimum mass design

Max tower top displacement 2.25 m

First and second frequency between 1P and 3P Third and fourth frequency above 6P

Static loads only!

No fatigue constraints!

22 23 October

2014

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105m/s,

Test section 2.2 x 3.3m

F&U og test faciliteter

Validering og Test

(25)

Østerild Test Centre – Prototype Wind Turbines

7 Wind Turbines – Max. 16 MW each – Max. height 250 m

1 EDF / Alstom 2 Vestas

3 Vestas 4 Vestas

5 Envision 6 Siemens

7 Siemens

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Long range windscanner – Kassel campaign

25 23.10.2014

• Measured for 6 weeks with 6

windscanners, full synchronisation over a 3G network

• Alignment accuracy of about 0.05° (1m over 1km)

• Excellent measurement results in

scanning mode – within 1% accuracy at

> 3km Metmast

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Lidar ways of measuring the offshore resource

2. Windscanner(s) on the coast

26

LA ND

SE A 5-10 km

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27

Spørgsmål

Colourbox