Effect of the wind turbine floater geometry on the uncertainty associated with the hydrodynamic loading

The study aims to contribute to the establishment of the reliability-based design for floating offshore wind turbines by quantifying the uncertainty in Morison's wave force in the extreme conditions for two floating wind turbine platforms, namely, the Spar and the OC4 DeepCwind semi-submersible. Numerical models are developed to estimate the wave forces on cylindrical members with different configurations and then to quantify the uncertainty in the output using the propagation law of uncertainty. Morison's coefficients are extracted from Sarpkaya's data as a function of relative roughness, Keulegan-Carpenter number, Reynolds number and the member inclination angle. The combined uncertainty for each input is investigated based on the gathered data from different sources of uncertainties. The First-Order Second-Moment method is then adopted to quantify the output uncertainty based on the uncertainty in the input variables. Furthermore, the contribution of each random variable to the total uncertainty is analysed. The study reveals that wave height is the most significant contributing random variable to the total uncertainty. • The study quantifies the uncertainty in Morison wave force in the extreme conditions for two floating wind turbine platforms. • Numerical models are developed to estimate the wave forces on cylindrical members with different configurations. • Morison's coefficients are a function of relative roughness, K-C and, Reynolds number and member inclination. • The First-Order Second Moment method is then adopted to quantify the output uncertainty based on the input's uncertainty. • The study shows that the wave height is the random variable most contributing to the total uncertainty.

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Institutions

Publication Details

Journal
Ocean Engineering
Published
2025-04-18
DOI
https://doi.org/10.1016/j.oceaneng.2025.121134
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
4.99

Funders

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article

Effect of the wind turbine floater geometry on the uncertainty associated with the hydrodynamic loading

D. Karmakar, Carlos Guedes Soares, K. Raed
1 citations
Ocean Engineering
Wind Energy Research and Development
4.99
article

Effect of the wind turbine floater geometry on the uncertainty associated with the hydrodynamic loading

D. Karmakar, Carlos Guedes Soares, K. Raed
article en
1 citations

Abstract

The study aims to contribute to the establishment of the reliability-based design for floating offshore wind turbines by quantifying the uncertainty in Morison's wave force in the extreme conditions for two floating wind turbine platforms, namely, the Spar and the OC4 DeepCwind semi-submersible. Numerical models are developed to estimate the wave forces on cylindrical members with different configurations and then to quantify the uncertainty in the output using the propagation law of uncertainty. Morison's coefficients are extracted from Sarpkaya's data as a function of relative roughness, Keulegan-Carpenter number, Reynolds number and the member inclination angle. The combined uncertainty for each input is investigated based on the gathered data from different sources of uncertainties. The First-Order Second-Moment method is then adopted to quantify the output uncertainty based on the uncertainty in the input variables. Furthermore, the contribution of each random variable to the total uncertainty is analysed. The study reveals that wave height is the most significant contributing random variable to the total uncertainty. • The study quantifies the uncertainty in Morison wave force in the extreme conditions for two floating wind turbine platforms. • Numerical models are developed to estimate the wave forces on cylindrical members with different configurations. • Morison's coefficients are a function of relative roughness, K-C and, Reynolds number and member inclination. • The First-Order Second Moment method is then adopted to quantify the output uncertainty based on the input's uncertainty. • The study shows that the wave height is the random variable most contributing to the total uncertainty.

Ocean EngineeringVol. 330
National Institute of Technology Karnataka (IN), University of Lisbon (PT), Port Said University (EG)
Fundação para a Ciência e a Tecnologia
Affordable and clean energy
Openalex Percentile: Top 7%
Wind Energy Research and Development
4.99
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