A comprehensive code-to-code comparison study with the modified IEA15MW-UMaine Floating Wind Turbine for H2020 HIPERWIND project

Kim, Taeseong; Natarajan, Anand; Lovera, Anaïs; Julan, Emricka; Peyrard, Christophe; Capaldo, Matteo; Huwart, Guillaume; Bozonnet, Pauline; Guiton, Martin

doi:10.1088/1742-6596/2265/4/042006

Cited by 4 publications

(6 citation statements)

References 5 publications

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“…In the lower half, the tower diameter stays maximal with 11m and has thick walls. In the upper half, the tower diameters and walls transition with a maximum sectional angle of 3 deg [2] to smaller dimensions towards the top, as visualized in Figure 6. The result is an increase in tower mass of 38.82 % for a stiff-stiff tower configuration for the three-bladed turbine, which is below the relative mass increases of [1,2].…”

Section: Results: 20 Mw Volturnus Campbell Diagram and Fatigue Load S...mentioning

confidence: 99%

“…Consequently, the three-bladed turbine's tower needs to be adapted. The concept for stiffening the tower to its minimum stiff-stiff eigenfrequency was inspired by NREL [1] and EDF [2]. In the lower half, the tower diameter stays maximal with 11m and has thick walls.…”

Section: Results: 20 Mw Volturnus Campbell Diagram and Fatigue Load S...mentioning

confidence: 99%

“…Still, increasing the tower diameter is a more mass-efficient measure to increase the tower eigenfrequency, but it could cause higher manufacturing costs. In [2] Électricité de France (EDF) further stiffened the already stiffened tower of the mentioned VolurnUS 15 MW with an additional 11 % of steel because the hydrodynamic added mass had not been taken into account in the earlier tower design, which affects the coupled tower-pitch dynamics and thus reduces the tower eigenfrequency. In [3] the towers of both a WindCrete style spar and an Activefloat style semi-submersible with an IEA 15 MW on top, have been designed stiff-stiff.…”

Section: Background On Tower Eigenfrequency Design and The Implicatio...mentioning

confidence: 99%

“…Large three-bladed floating offshore wind turbines (FOWTs) with tubular towers often suffer from a tower eigenfrequency that would naturally be very close to their blade-passing (3P) frequency above and just below rated conditions [1,2,3,4]. From that starting point, neither a bottom-fixed typical soft-stiff nor a stiff-stiff tower configuration, with the tower eigenfrequency respectively beneath or above the 3P-frequency, is easy to achieve and requires massive additional amounts of steel either way.…”

Section: Introductionmentioning

confidence: 99%

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Increased tower eigenfrequencies on floating foundations and their implications for large two- and three-bladed turbines

Anstock,

Kessler,

Schorbach

2023

J. Phys.: Conf. Ser.

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If the tower of a bottom-fixed turbine is put on a floating foundation, such as a spar, semi-submersible, or barge, its eigenfrequency increases. In the investigated case, the tower eigenfrequency rose to about twice its previous value. For bottom-fixed applications, the comparatively high blade-passing frequency of a three-blade turbine (3P) leaves a great bandwidth to design a light and soft tower with a low-enough eigenfrequency. On one of those floaters, however, the eigenfrequency of the same tower might neither be high nor low enough to avoid eigenfrequency excitation by 3P around rated speed. Due to the lower blade passing frequency of a two-bladed wind turbine (2P), the same tower eigenfrequency is high enough by default, enabling considerable material savings or at least eliminating the severe eigenfrequency excitation issue of its bottom-fixed version. Additionally, cost benefits in the whole life-cycle of two-bladed turbines remain. 20MW two- and three-bladed turbines were analyzed numerically on an upscaled version of the UMaine VolturnUS-S semi-submersible, confirming the reasoning.

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Section: Results: 20 Mw Volturnus Campbell Diagram and Fatigue Load S...mentioning

confidence: 99%

Section: Results: 20 Mw Volturnus Campbell Diagram and Fatigue Load S...mentioning

confidence: 99%

Section: Background On Tower Eigenfrequency Design and The Implicatio...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Increased tower eigenfrequencies on floating foundations and their implications for large two- and three-bladed turbines

Anstock,

Kessler,

Schorbach

2023

J. Phys.: Conf. Ser.

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show abstract

“…As a second block, one finds the “DIEGO” software (for “Dynamique Intégrée des Éoliennes et Génératrices Offshore 1 ”) which is developed by EDF R&D (Kim et al, 2022) to simulate the aero-hydro-servo-elastic behavior of OWTs. It takes the turbulent wind speed field generated by TurbSim as input and computes the dynamical behavior of the system (including the multiaxial mechanical stress at different nodes of the structure).…”

Section: Treatment Of Uncertainties On the Teesside Wind Farmmentioning

confidence: 99%

Given-data probabilistic fatigue assessment for offshore wind turbines using Bayesian quadrature

Fekhari,

Chabridon,

Muré

et al. 2024

DCE

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Offshore wind turbines intend to take a rapidly growing share in the electric mix. The design, installation, and exploitation of these industrial assets are regulated by international standards, providing generic guidelines. Constantly, new projects reach unexploited wind resources, pushing back installation limits. Therefore, turbines are increasingly subject to uncertain environmental conditions, making long-term investment decisions riskier (at the design or end-of-life stage). Fortunately, numerical models of wind turbines enable to perform accurate multi-physics simulations of such systems when interacting with their environment. The challenge is then to propagate the input environmental uncertainties through these models and to analyze the distribution of output variables of interest. Since each call of such a numerical model can be costly, the estimation of statistical output quantities of interest (e.g., the mean value, the variance) has to be done with a restricted number of simulations. To do so, the present paper uses the kernel herding method as a sampling technique to perform Bayesian quadrature and estimate the fatigue damage. It is known from the literature that this method guarantees fast and accurate convergence together with providing relevant properties regarding subsampling and parallelization. Here, one numerically strengthens this fact by applying it to a real use case of an offshore wind turbine operating in Teesside, UK. Numerical comparison with crude and quasi-Monte Carlo sampling demonstrates the benefits one can expect from such a method. Finally, a new Python package has been developed and documented to provide quick open access to this uncertainty propagation method.

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SEAHOWL: Partitioned Multiphysics and Multifidelity Modelling of Wind Turbines with Monolithically Coupled Elastodynamics

De Lataillade,

Yu,

Pallud

et al. 2024

J. Phys.: Conf. Ser.

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We introduce SEAHOWL (Servo-Elasto-Aero-Hydro Offshore Wind Lab), a novel multiphysics multifidelity simulation framework for large-scale onshore, offshore, and floating wind turbines. For structural dynamics, multibody and finite element problems are coupled monolithically and solved within a single system of equations through Project Chrono, providing high numerical stability and optimal coupling accuracy. Combined with partitioned multiphysics, modularity is at the heart of the framework with various numerical methods and solvers (internal or external) available for each physics. This flexibility allows for the selection a target trade-off between numerical accuracy and computational efficiency on a use-case basis. Simulations showcased here have been selected through the prism of industrial R&D challenges, covering: controller response and loads over the operational wind range, 3P effect for different levels of fidelity for the blades, floating wind turbine response under irregular waves and turbulent wind, and innovative multibody application for 3P fatigue mitigation. SEAHOWL is cross-validated against the reference OpenFAST whole-turbine simulator from NREL, showing overall good agreement while differences between the two frameworks are highlighted.

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A comprehensive code-to-code comparison study with the modified IEA15MW-UMaine Floating Wind Turbine for H2020 HIPERWIND project

Cited by 4 publications

References 5 publications

Increased tower eigenfrequencies on floating foundations and their implications for large two- and three-bladed turbines

Increased tower eigenfrequencies on floating foundations and their implications for large two- and three-bladed turbines

Given-data probabilistic fatigue assessment for offshore wind turbines using Bayesian quadrature

SEAHOWL: Partitioned Multiphysics and Multifidelity Modelling of Wind Turbines with Monolithically Coupled Elastodynamics

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