Influence of the control system on wind turbine loads during power production in extreme turbulence: Structural reliability

Imad Abdallah, Anand Natarajan, John Dalsgaard Sørensen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

8 Citationer (Scopus)

Resumé

The wind energy industry is continuously researching better computational models of wind inflow and turbulence to predict extreme loading (the nature of randomness) and their corresponding probability of occurrence. Sophisticated load alleviation control systems are increasingly being designed and deployed to specifically reduce the adverse effects of extreme load events resulting in lighter structures. The main objective herein is to show that despite large uncertainty in the extreme turbulence models, advanced load alleviation control systems yield both a reduction in magnitude and scatter of the extreme loads which in turn translates in a change in the shape of the annual maximum load distribution function resulting in improved structural reliability. Using a probabilistic loads extrapolation approach and the first order reliability method, a large multi-megawatt wind turbine blade and tower structural reliability are assessed when the extreme turbulence model is uncertain. The structural reliability is assessed for the wind turbine when three configurations of an industrial grade load alleviation control system of increasing complexity and performance are used. The load alleviation features include a cyclic pitch, individual pitch, static thrust limiter, condition based thrust limiter and an active tower vibrationdamper. We show that large uncertainties in the extreme turbulence model can be mitigated and significantly reduced while maintaining an acceptable structural reliability level when advanced loadalleviation control systems are used. We end by providing a rational comparison between the long termloads extrapolation method and the environmental contour method for the three control configurations.
OriginalsprogEngelsk
TidsskriftRenewable Energy
Vol/bind87
Udgave nummerPart 1
Sider (fra-til)464-477
Antal sider14
ISSN0960-1481
DOI
StatusUdgivet - 2016

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Wind turbines
Turbulence
Control systems
Turbulence models
Limiters
Extrapolation
Towers
Wind power
Turbomachine blades
Distribution functions
Industry
Uncertainty

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title = "Influence of the control system on wind turbine loads during power production in extreme turbulence: Structural reliability",
abstract = "The wind energy industry is continuously researching better computational models of wind inflow and turbulence to predict extreme loading (the nature of randomness) and their corresponding probability of occurrence. Sophisticated load alleviation control systems are increasingly being designed and deployed to specifically reduce the adverse effects of extreme load events resulting in lighter structures. The main objective herein is to show that despite large uncertainty in the extreme turbulence models, advanced load alleviation control systems yield both a reduction in magnitude and scatter of the extreme loads which in turn translates in a change in the shape of the annual maximum load distribution function resulting in improved structural reliability. Using a probabilistic loads extrapolation approach and the first order reliability method, a large multi-megawatt wind turbine blade and tower structural reliability are assessed when the extreme turbulence model is uncertain. The structural reliability is assessed for the wind turbine when three configurations of an industrial grade load alleviation control system of increasing complexity and performance are used. The load alleviation features include a cyclic pitch, individual pitch, static thrust limiter, condition based thrust limiter and an active tower vibrationdamper. We show that large uncertainties in the extreme turbulence model can be mitigated and significantly reduced while maintaining an acceptable structural reliability level when advanced loadalleviation control systems are used. We end by providing a rational comparison between the long termloads extrapolation method and the environmental contour method for the three control configurations.",
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Influence of the control system on wind turbine loads during power production in extreme turbulence : Structural reliability. / Abdallah, Imad; Natarajan, Anand; Sørensen, John Dalsgaard.

I: Renewable Energy, Bind 87, Nr. Part 1, 2016, s. 464-477.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Influence of the control system on wind turbine loads during power production in extreme turbulence

T2 - Structural reliability

AU - Abdallah, Imad

AU - Natarajan, Anand

AU - Sørensen, John Dalsgaard

PY - 2016

Y1 - 2016

N2 - The wind energy industry is continuously researching better computational models of wind inflow and turbulence to predict extreme loading (the nature of randomness) and their corresponding probability of occurrence. Sophisticated load alleviation control systems are increasingly being designed and deployed to specifically reduce the adverse effects of extreme load events resulting in lighter structures. The main objective herein is to show that despite large uncertainty in the extreme turbulence models, advanced load alleviation control systems yield both a reduction in magnitude and scatter of the extreme loads which in turn translates in a change in the shape of the annual maximum load distribution function resulting in improved structural reliability. Using a probabilistic loads extrapolation approach and the first order reliability method, a large multi-megawatt wind turbine blade and tower structural reliability are assessed when the extreme turbulence model is uncertain. The structural reliability is assessed for the wind turbine when three configurations of an industrial grade load alleviation control system of increasing complexity and performance are used. The load alleviation features include a cyclic pitch, individual pitch, static thrust limiter, condition based thrust limiter and an active tower vibrationdamper. We show that large uncertainties in the extreme turbulence model can be mitigated and significantly reduced while maintaining an acceptable structural reliability level when advanced loadalleviation control systems are used. We end by providing a rational comparison between the long termloads extrapolation method and the environmental contour method for the three control configurations.

AB - The wind energy industry is continuously researching better computational models of wind inflow and turbulence to predict extreme loading (the nature of randomness) and their corresponding probability of occurrence. Sophisticated load alleviation control systems are increasingly being designed and deployed to specifically reduce the adverse effects of extreme load events resulting in lighter structures. The main objective herein is to show that despite large uncertainty in the extreme turbulence models, advanced load alleviation control systems yield both a reduction in magnitude and scatter of the extreme loads which in turn translates in a change in the shape of the annual maximum load distribution function resulting in improved structural reliability. Using a probabilistic loads extrapolation approach and the first order reliability method, a large multi-megawatt wind turbine blade and tower structural reliability are assessed when the extreme turbulence model is uncertain. The structural reliability is assessed for the wind turbine when three configurations of an industrial grade load alleviation control system of increasing complexity and performance are used. The load alleviation features include a cyclic pitch, individual pitch, static thrust limiter, condition based thrust limiter and an active tower vibrationdamper. We show that large uncertainties in the extreme turbulence model can be mitigated and significantly reduced while maintaining an acceptable structural reliability level when advanced loadalleviation control systems are used. We end by providing a rational comparison between the long termloads extrapolation method and the environmental contour method for the three control configurations.

KW - Wind Turbines

KW - Probabilistic Modelling

KW - Extreme Turbulence

KW - Load Alleviation Control Systems

KW - Structural Reliability

KW - Environmental Contours

U2 - 10.1016/j.renene.2015.10.044

DO - 10.1016/j.renene.2015.10.044

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JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

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