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Research Papers: Structures and Safety Reliability

Comparison of Spar and Semisubmersible Floater Concepts of Offshore Wind Turbines Using Long-Term Analysis

[+] Author and Article Information
Hasan Bagbanci

Centre for Marine Technology and
Ocean Engineering,
Instituto Superior Técnico,
Universidade de Lisboa,
Avenida Rovisco Pais,
Lisbon 1049-001, Portugal
e-mail: hasan.bagbanci@centec.tecnico.ulisboa.pt

D. Karmakar

Centre for Marine Technology and
Ocean Engineering,
Instituto Superior Técnico,
Universidade de Lisboa,
Avenida Rovisco Pais,
Lisbon 1049-001, Portugal
e-mail: debabrata.karmakar@centec.tecnico.ulisboa.pt

C. Guedes Soares

Centre for Marine Technology and
Ocean Engineering,
Instituto Superior Técnico,
Universidade de Lisboa,
Avenida Rovisco Pais,
Lisbon 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 October 3, 2013; final manuscript received August 1, 2015; published online September 7, 2015. Assoc. Editor: Solomon Yim.

J. Offshore Mech. Arct. Eng 137(6), 061601 (Sep 07, 2015) (10 pages) Paper No: OMAE-13-1093; doi: 10.1115/1.4031312 History: Received October 03, 2013; Revised August 01, 2015

The long-term probability distributions of a spar-type and a semisubmersible-type offshore floating wind turbine response are calculated for surge, heave, and pitch motions along with the side-to-side, fore–aft, and yaw tower base bending moments. The transfer functions for surge, heave, and pitch motions for both spar-type and semisubmersible-type floaters are obtained using the fast code and the results are also compared with the results obtained in an experimental study. The long-term predictions of the most probable maximum values of motion amplitudes are used for design purposes, so as to guarantee the safety of the floating wind turbines against overturning in high waves and wind speed. The long-term distribution is carried out using North Atlantic wave data and the short-term floating wind turbine responses are represented using Rayleigh distributions. The transfer functions are used in the procedure to calculate the variances of the short-term responses. The results obtained for both spar-type and semisubmersible-type offshore floating wind turbine are compared, and the study will be helpful in the assessments of the long-term availability and economic performance of the spar-type and semisubmersible-type offshore floating wind turbine.

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Figures

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Fig. 1

Probability density function and probability distribution function of Hs for sea states of North Atlantic wave data

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Fig. 2

Probability density function and probability distribution function of TP for sea states of North Atlantic wave data

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Fig. 3

Hs versus wind speed based on Beaufort scale

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Fig. 4

Spar-type floater model [36]

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Fig. 5

Semisubmersible-type floater model [22]

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Fig. 6

(a) Surge motion response amplitude operator (RAO) for spar-type and semisubmersible-type platform, (b) heave motion RAO for spar-type and semisubmersible-type platform, and (c) pitch motion RAO for spar-type and semisubmersible-type platform

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Fig. 7

(a) Side-to-side tower base bending moment for spar-type and semisubmersible-type platform, (b) fore–aft tower base bending moment for spar-type and semisubmersible-type platform, and (c) yaw tower bending moment for spar-type and semisubmersible-type platform

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Fig. 8

(a) Long-term distribution for the surge motion amplitude for spar-type and semisubmersible-type floating wind turbine, (b) long-term distribution for the heave motion amplitude for spar-type and semisubmersible-type floating wind turbine, and (c) long-term distribution for the pitch motion amplitude for spar-type and semisubmersible-type floating wind turbine

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Fig. 9

(a) Long-term distribution for the side-to-side tower base bending moment for spar-type and semisubmersible-typefloating wind turbine, (b) long-term distribution for fore–afttower base bending moment for spar-type and semisubmersible-type floating wind turbine, and (c) long-term distribution for yaw tower base bending moment for spar-type and semisubmersible-type floating wind turbine

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