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Influence of platform configuration on the hydrodynamic performance of semi-submersibles for offshore wind energy
Published in C. Guedes Soares, T.A. Santos, Trends in Maritime Technology and Engineering Volume 2, 2022
M. Hmedi, E. Uzunoglu, C. Guedes Soares
However, the requirements from the deck space are reduced when it comes to wind. For this reason, the smaller hull forms using three columns are often seen as in (Roddier et al. 2010, Robertson et al. 2014, Karimirad & Michailides 2015). In the case of a floating wind turbine platform, the floater’s primary purpose is to support the wind turbine while ensuring a minimal response to wind and wave loads. This target needs to be met while keeping a low mass as it is one of the primary economic drivers (James & Costa Ros 2015, Uzunoglu & Guedes Soares 2019). Therefore, the geometry needs to suit both purposes regarding reduced mass and beneficial motion behaviour.
Failure analysis of floating offshore wind turbine technologies
Published in C. Guedes Soares, Developments in Renewable Energies Offshore, 2020
M. Shafiee, G. Stamelos, M.M. Aziminia, T. Elusakin, T. Adedipe, F. Dinmohammadi
A floating wind turbine is a wind turbine mounted on a floating platform connected to the seabed by mooring lines. Therefore, the platform and mooring system are crucial parts of a FOWT technology. The FOWT platforms are typically categorized into three major concepts, including: spar-buoy, semi-submersible, and tension-leg. These three concepts are explained briefly in the following sections.
Energy and Environment
Published in T.M. Aggarwal, Environmental Control in Thermal Power Plants, 2021
The world’s second full-scale floating wind turbine (and first to be installed without the use of heavy-lift vessels), Wind Float, operating at rated capacity (2 MW) approximately 5 km offshore of Póvoa de Varzim, Portugal.
Roll motion mitigation of a barge-type floating wind turbine under random excitation using a tuned liquid column damper
Published in Journal of the Chinese Institute of Engineers, 2023
An offshore floating wind turbine system may suffer excessive motions in extreme environmental conditions. The performance of TLCD on suppressing these motions becomes crucial for maintaining structural stability and integrity. This study seeks to provide fundamental insights into the feasibility of utilizing a TLCD to mitigate roll motion of a barge-type floating wind turbine system under random excitation. The TLCD is placed on the bottom of the barge. The nonlinear governing equations of the coupled system are found using a Lagrangian approach. In addition, the considerations and procedures of designing optimal TLCD parameters for this application are presented. Finally, numerical results are demonstrated to assess the feasibility of this application.
Efficient computational method for the dynamic responses of a floating wind turbine
Published in Ships and Offshore Structures, 2020
A floating wind turbine is an offshore wind turbine mounted on a floating structure that allows the turbine to generate electricity in water depths where fixed-foundation turbines are not feasible. In recent years a lot of research studies (see e. g., Skaare 2017; Tomasicchio et al. 2017; Tomasicchio et al. 2018; Ahn and Shin 2019; Chow et al. 2019; Hegseth and Bachynski 2019; Utsunomiya et al. 2019, etc.) have been carried out regarding the experimental modelling, dynamic modelling and design development of floating wind turbines. This paper investigates the computational methods for calculating the dynamic and motion responses of a floating wind turbine. In the worldwide offshore wind energy community, the dynamic and motion response analysis of a floating wind turbine is typically carried out by solving the turbine motion equation with a complicated convolution integral term representing the hydrodynamic memory effects (see e. g., the publications: Jonkman 2007, 2009, 2010; Jonkman and Buhl 2007; Jonkman and Matha 2011; Robertson and Jonkman 2011a, 2011b; Wang et al. 2013; Xia and Wang 2013; Xia 2014, etc.). Calculating the convolution integral term is difficult, time consuming and requiring a significant amount of computer memory. To the best knowledge of the author of this article, in the present literature, there is only one work (Duarte et al. 2013) that has tried to fit a parametric model (state space model) to approximate the convolution integral term when performing hydrodynamic responses predictions of floating wind turbines. The computational efficiency can indeed be improved by solving the turbine motion equation with a state space model representing the hydrodynamic memory effects. However, when performing the frequency–domain identification of the state space model and solving an optimisation problem regarding the transfer function, Duarte et al. (2013) used a weighted least squares method. The biggest disadvantage of weighted least squares is the fact that the theory behind this method is based on the assumption that the weights are known exactly. This is almost never the case in real applications, of course, so estimated weights must be used instead. The effect of using estimated weights is difficult to assess. Meanwhile, weighted least squares regression is also sensitive to the effects of outliers. If potential outliers are not investigated and dealt with appropriately, they will likely have a negative impact on the parameter estimation and other aspects of a weighted least squares analysis. If a weighted least squares regression actually increases the influence of an outlier, the results of the analysis may be far inferior to an un-weighted least squares analysis.