Validation of INNWIND.EU Scaled Model Tests of a Semisubmersible Floating Wind Turbine

Borisade, Friedemann; Koch, Christian; Lemmer, Frank; Cheng, Po Wen; Campagnolo, Filippo; Matha, Denis

doi:10.17736/ijope.2018.fv04

Cited by 21 publications

(14 citation statements)

References 13 publications

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“…Second-order hydrodynamics were included to account for the large response at the floater eigenfrequencies, below the wave frequencies. The same behavior, with low-frequency resonances, was also found in previous studies, like [8]. The forces result from a quadratic potential flow model at the difference-frequency of a bi-chromatic wave train, see [22].…”

Section: Reduced-order Simulation Modelsupporting

confidence: 81%

“…At these frequencies, the wave height spectrum (ζ 0 ) is zero, so the excitation results from either second-order slow drift loads, as introduced in the modeling section, or the aerodynamic excitation. In a previous study [8], it was found that the contribution from the difference-frequency forcing is dominant over the one from aerodynamic forcing. It can be seen in Figure 6 that the response magnitudes at the eigenfrequencies depend significantly on the Morison drag coefficients (different colors).…”

Section: Model Validationmentioning

confidence: 91%

“…However, this servo controller was usually tuned aggressively to keep the rotor speed almost constant, see e.g. [8]. The blade-pitch angle is then constant with this methodology.…”

Section: Introductionmentioning

confidence: 99%

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The TripleSpar Campaign: Validation of a Reduced-Order Simulation Model for Floating Wind Turbines

Lemmer

Cheng

et al. 2018

Volume 10: Ocean Renewable Energy

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Different research groups have recently tested scaled floating offshore wind turbines including blade pitch control. A test conducted by the University of Stuttgart (Germany), DTU (Denmark) and CENER (Spain) at the Danish Hydraulic Institute (DHI) in 2016 successfully demonstrated a real-time blade pitch controller on the public 10MW TripleSpar semi-submersible concept at a scale of 1/60. In the presented work a reduced-order simulation model including control is compared against the model tests. The model has only five degrees of freedom and is formulated either in the time-domain or in the frequency-domain. In a first step the Morison drag coefficients are identified from decay tests as well as irregular wave cases. The identified drag coefficients depend clearly on the sea state, with the highest ones for the decay tests and small sea states. This is an important finding, for example for the design of a robust controller, which depends on the system damping. It is shown that the simplified model can well represent the dominant physical effects of the coupled system with a substantially reduced simulation time, compared to state-of-the-art models.

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Section: Reduced-order Simulation Modelsupporting

confidence: 81%

Section: Model Validationmentioning

confidence: 91%

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The TripleSpar Campaign: Validation of a Reduced-Order Simulation Model for Floating Wind Turbines

Lemmer

Cheng

et al. 2018

Volume 10: Ocean Renewable Energy

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“…Koch et al 125 tested a 1/60 scale model of the DeepCwind semisubmersible FOWT with a low‐Reynolds version of the DTU 10‐MW turbine at Ecole Centrale de Nantes (ECN), France. To compensate for the higher mass of the turbine, ballast was added to lower the centre of gravity of the platform to the same level of the original design with the NREL 5‐MW turbine.…”

Section: Physical Modellingmentioning

confidence: 99%

A review of modelling techniques for floating offshore wind turbines

et al. 2021

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Modelling floating offshore wind turbines (FOWTs) is challenging due to the strong coupling between the aerodynamics of the turbine and the hydrodynamics of the floating platform. Physical testing at scale is faced with the additional challenge of the scaling mismatch between Froude number and Reynolds number due to working in the two fluid domains, air and water. In the drive for cost-reduction of floating wind energy, designers may be seeking to move towards high-fidelity numerical modelling as a substitute for physical testing. However, the numerical engineering tools typically used for FOWT modelling are considered as mid-fidelity to low-fidelity tools, and currently lack the level of accuracy required to do so. Furthermore, there is a lack of operational FOWT data available for further development and validation.High-fidelity tools, such as CFD, have greater accuracy but are cumbersome tools and still require validation. Physical scale model testing therefore continues to play an essential role in the development of FOWTs both as a source of validation data for numerical models and as an important development step along the path to commercialization of all platform concepts. The aim of this paper is to provide an overview of both numerical modelling and physical FOWT scale model testing approaches and to provide guidance on the selection of the most appropriate approach (or combination of approaches). The current state-of-the-art will be discussed along with current research trends and areas for further investigation.

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“…Good agreement has been obtained with the experimental results, except for the yaw motion. Commercial software such as ANSYS AQWA (ANSYS 2012), OrcaFlex (Orcina 2022) and SIMPACK (Matha et al 2011) were used to compare experimental results in Sethuraman and Venugopal (2013); Ren et al (2020); Borisade et al (2018). AQWA has been used to model a hybrid system of a TLP wind turbine and a heave point absorber wave energy converter (WEC) (Ren et al 2020).…”

Section: Numerical Model Validation and Verificationmentioning

confidence: 99%

A review of numerical modelling and optimisation of the floating support structure for offshore wind turbines

Faraggiana

Giorgi

Sirigu

et al. 2022

J. Ocean Eng. Mar. Energy

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Compared to onshore wind power, floating offshore wind power is a promising renewable energy source due to higher wind speeds and larger suitable available areas. However, costs are still too high compared to onshore wind power. In general, the economic viability of offshore wind technology decreases with greater water depth and distance from shore. Floating wind platforms are more competitive compared to fixed offshore structures above a certain water depth, but there is still great variety and no clear design convergence. Therefore, optimisation of the floating support structure in the preliminary phase of the design process is still of great importance, often up to personal experience and sensibility. It is fundamental that a suitable optimisation approach is chosen to obtain meaningful results at early development stages. This review provides a comparative overview of the methods, numerical tools and optimisation approaches that can be used with respect to the conceptual design of the support structure for Floating offshore wind turbines (FOWT) attempting to detail the limitations preventing the convergence to an optimal floating support structure. This work is intended to be as a reference for any researcher and developer that would like to optimise the support platform for FOWT.

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Validation of INNWIND.EU Scaled Model Tests of a Semisubmersible Floating Wind Turbine

Cited by 21 publications

References 13 publications

The TripleSpar Campaign: Validation of a Reduced-Order Simulation Model for Floating Wind Turbines

The TripleSpar Campaign: Validation of a Reduced-Order Simulation Model for Floating Wind Turbines

A review of modelling techniques for floating offshore wind turbines

A review of numerical modelling and optimisation of the floating support structure for offshore wind turbines

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