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Research Papers: Structures and Safety Reliability

Long-Term Extreme Load Prediction of Spar and Semisubmersible Floating Wind Turbines Using the Environmental Contour Method

[+] Author and Article Information
D. Karmakar, Hasan Bagbanci

Centre for Marine Technology
and Ocean Engineering,
Instituto Superior Técnico,
Universidade de Lisboa,
Av. Rovisco Pais,
Lisboa 1049-001, Portugal

C. Guedes Soares

Centre for Marine Technology
and Ocean Engineering,
Instituto Superior Técnico,
Universidade de Lisboa,
Av. Rovisco Pais,
Lisboa 1049-001, Portugal
e-mail: c.guedes.soares@centec.tecnico.ulisboa.pt

1Corresponding author.

Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received August 17, 2013; final manuscript received November 21, 2015; published online January 6, 2016. Assoc. Editor: Lance Manuel.

J. Offshore Mech. Arct. Eng 138(2), 021601 (Jan 06, 2016) (9 pages) Paper No: OMAE-13-1078; doi: 10.1115/1.4032099 History: Received August 17, 2013; Revised November 21, 2015

The prediction of extreme loads for the offshore floating wind turbine is analyzed based on the inverse reliability technique. The inverse reliability approach is in general used to establish the design levels associated with the specified probability of failure. The present study is performed using the environmental contour (EC) method to estimate the long-term joint probability distribution of extreme loads for different types of offshore floating wind turbines. The analysis is carried out in order to predict the out-of-plane bending moment (OoPBM) loads at the blade root and tower base moment (TBM) loads for a 5 MW offshore floating wind turbine of different floater configuration. The spar-type and semisubmersible type offshore floating wind turbines are considered for the analysis. The FAST code is used to simulate the wind conditions for various return periods and the design loads of various floating wind turbine configurations. The extreme and operation situation of the spar-type and semisubmersible type offshore floating wind turbine are analyzed using one-dimensional (1D) and two-dimensional (2D)-EC methods for different return periods. The study is useful to predict long-term design loads for offshore wind turbines without requiring excessive computational effort.

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References

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Figures

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Fig. 1

Spar-type floater geometry [22]

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Fig. 2

Semisubmersible type floater geometry [23]

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Fig. 3

Surge, heave and pitch motion RAO for spar-type floater

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Fig. 4

Surge, heave and pitch motion RAO for semisubmersible type floater

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Fig. 5

Geometric representation of (a) 1D model and (b) 2D model in U space associated with reliability index β

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Fig. 6

Evaluation for probability of exceedance for specified return period based on 1D model

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Fig. 7

Evaluation of mean wave height for a given wind speed based on 1D model

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Fig. 8

Estimation of OoPBM for a given wave height and wind speed for spar-type and semisubmersible type floaters based on 1D model

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Fig. 9

Estimation of tower base bending moment for a given wave height and wind speed for spar-type and semisubmersible type floaters based on 1D model

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Fig. 10

ECs for 1-year, 20-year, 50-year, and 100-year return periods based on 2D model

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Fig. 11

Estimation of out-of-plane and tower base bending moment for a given wave height and wind speed for spar-type floater using 2D model

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Fig. 12

Estimation of out-of-plane and tower base bending moment for a given wave height and wind speed for semisubmersible type floater using 2D model

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