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12 January 2017

Investigating Optimal Leg Distance, using Conceptual Design Optimization

Kasper Sandal

Alexander Verbart

Mathias Stolpe

Technical University of Denmark,

Dept. of Wind Energy

1

Conceptualdesign

Basic design

Detaileddesign

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minimize ๐‘“(๐’™)

subject to ๐Š ๐’™ ๐’– โˆ’ โˆ†๐‘ท = ๐ŸŽ

๐ˆ โ‰ค ๐ˆ ๐’™ โ‰ค ๐ˆ

๐Ž โ‰ค ๐Ž ๐’™ โ‰ค ๐Ž

Design considerations Optimal design problem

Design trends

This talk presents conceptual design optimization of jacket structures for offshore wind turbines

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Photo: Iberdrola

A good jacket design has low mass to minimize material, transportation, and installation costs

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Photo: W S van Zyl; G P A G van Zijl

To avoid resonance, the natural frequency must lie in the soft-stiff range between the 1p and 3p rotor frequencies

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Reference jackets in the literature have very different leg distances

12 m

8 m

OC4 jacket

Designed for NREL 5 MW

34 m

14 m

INNWIND.EU jacket Designed for DTU 10 MW

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Placing the same tower and turbine on two jackets allows us to compare them

JADOP models with DTU 10 MW tower & turbine

12 m

8 m

OC4 jacket

Designed for NREL 5 MW

34 m

14 m

INNWIND.EU jacket Designed for DTU 10 MW

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When cross sections are equal, a slender jacket will have a lower mass and a lower frequency than a bulky jacket

Slender 1060 tons 0.20 Hz

Bulky 1510 tons 0.27 Hz

JADOP models with DTU 10 MW tower & turbine Diameters = 1 m Thicknesses = 50 mm

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To satisfy the fatigue and ultimate limit states, the cross sections have to change when the slenderness change

Slender 1060 tons 0.20 Hz

Bulky 1510 tons 0.27 Hz

JADOP models with DTU 10 MW tower & turbine Diameters = 1 m Thicknesses = 50 mm

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minimize ๐‘“(๐’™)

subject to ๐Š ๐’™ ๐’– โˆ’ ๐’‡(๐’™) = ๐ŸŽ

๐ˆ โ‰ค ๐ˆ ๐’™ โ‰ค ๐ˆ

๐Ž โ‰ค ๐Ž ๐’™ โ‰ค ๐Ž Stress

Frequency

๐’™ = cross sections

The optimization problem for conceptual design is formulated with static loads, and constraints on stress, buckling, and frequency

Jacket mass

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Damage equivalent loads are used to make an approximate fatigue constraint using static stress constraints

Rainflow counting: โˆ†๐œŽ๐‘– , ๐‘›๐‘–

๐ท = ๐‘–๐‘›๐‘–(โˆ†๐œŽ๐‘–)

๐‘š

๐‘Žโ‰ค ๐ท๐‘š๐‘Ž๐‘ฅ

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Damage equivalent loads are used to make an approximate fatigue constraint using static stress constraints

Rainflow counting: โˆ†๐‘ƒ๐‘– , ๐‘›๐‘–

๐‘›๐‘‡(โˆ†๐‘ƒ1๐ป๐‘ง)๐‘š = ๐‘– ๐‘›๐‘–(โˆ†๐‘ƒ๐‘–)

๐‘š

โ‡’ โˆ†๐‘ƒ1๐ป๐‘ง=1

๐‘›๐‘‡ ๐‘– ๐‘›๐‘–(โˆ†๐‘ƒ๐‘–)

๐‘š

1

๐‘š

โˆ†๐œŽ1๐ป๐‘ง

Equal fatigue damage

๐ท =๐‘›๐‘‡ โˆ†๐œŽ1๐ป๐‘ง ๐‘š

๐‘Žโ‰ค ๐ท๐‘š๐‘Ž๐‘ฅ

โˆ†๐œŽ1๐ป๐‘งโ‰ค โˆ†๐œŽ =๐ท๐‘š๐‘Ž๐‘ฅ ๐‘Ž

๐‘‡๐‘™๐‘–๐‘“๐‘’

1

๐‘š

Quasi-static behaviour

1 degree of freedom load

High-cycle SN-curve

Rainflow counting: โˆ†๐œŽ๐‘– , ๐‘›๐‘–

๐ท = ๐‘–๐‘›๐‘–(โˆ†๐œŽ๐‘–)

๐‘š

๐‘Žโ‰ค ๐ท๐‘š๐‘Ž๐‘ฅ

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The problem is solved using the JAcket Design OPtimization tool JADOP and the open source optimization solver IPOPT

โ€ข Parametric input

โ€ข Analytic sensitivities

โ€ข Many types of constraints

DTU 10 MW: Tower, turbine, and loads

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With leg distances from the INNWIND.EU jacket, the mass was minimized to 870 tons in 2 minutes on a laptop

Top leg distance = 14 m

Bottom leg distance = 34 m

Jacket mass = 870 tons

Natural frequency = 0,264 Hz

Computation time = 118 s

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Optimization of 400 jackets indicate that an increased top leg distance reduces the jacket mass with about 20 percent

INNWIND.EU leg distances

Top leg distance = 14 m

Bottom leg distance = 34 m

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Since transition piece mass increases with larger top leg distance, the overall mass reduction is much less

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Upper bound on soft-stiff range

High leg distances at both bottom and top increase the natural frequency

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Reducing the bottom leg distance of the INNWIND.EU jacket from 34 to 24 meters, reduces both overall mass and frequency

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In conclusion, the conceptual design optimization is a fast and useful tool for investigating key parameters such as leg distance

Bottom leg distance: 34 m 24 m

Mass: -6.7 percent

Frequency: -2.8 percent

Can also be used for pile stick-up, number of sections, height, etc.

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In conclusion, the conceptual design optimization is a fast and useful tool for investigating key parameters such as leg distance

Bottom leg distance: 34 m 24 m

Mass: -6.7 percent

Frequency: -2.8 percent

Can also be used for pile stick-up, number of sections, height, etc.

Questions?

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EXTRA SLIDES

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Design according to DNVGL offshore standard and recommended practices

DNVGL-OS-C101 Design of offshore steel structures

DNVGL-RP-C203 Fatigue design of offshore steel structures

DNV-RP-C202 Buckling strength of shells

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Optimal design problem

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Load cases

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Shell buckling

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Column buckling

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SCF validity constraints

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Stress & SCF