Articles | Volume 9, issue 8
https://doi.org/10.5194/wes-9-1747-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1747-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Uncertainty quantification of structural blade parameters for the aeroelastic damping of wind turbines: a code-to-code comparison
German Aerospace Center (DLR), Institute of Aeroelasticity, Göttingen, Germany
Oliver Hach
German Aerospace Center (DLR), Institute of Aeroelasticity, Göttingen, Germany
Jelmer D. Polman
Leibniz University Hannover, Institute for Wind Energy Systems, Hanover, Germany
Otto Schramm
Leibniz University Hannover, Institute for Wind Energy Systems, Hanover, Germany
Claudio Balzani
Leibniz University Hannover, Institute for Wind Energy Systems, Hanover, Germany
Sarah Müller
Nordex Energy SE & Co. KG, Hamburg, Germany
Johannes Rieke
Nordex Energy SE & Co. KG, Hamburg, Germany
Related authors
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Julia Sabrina Gebauer, Felix Konstantin Prigge, Dominik Ahrens, Lars Wein, and Claudio Balzani
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-91, https://doi.org/10.5194/wes-2024-91, 2024
Preprint under review for WES
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The amount of energy that can be extracted from wind depends primarily on the blade geometry, which can be affected by elastic deformations. This paper presents a first study analysing the influence of cross-sectional deformations of a 15 MW wind turbine blade on the aero-elastic simulations. The results show small changes in geometry, and aerodynamic and structural loads even for a test case. These findings show the potential to be particularly important for larger and more flexible blades.
Edgar Werthen, Daniel Hardt, Claudio Balzani, and Christian Hühne
Wind Energ. Sci., 9, 1465–1481, https://doi.org/10.5194/wes-9-1465-2024, https://doi.org/10.5194/wes-9-1465-2024, 2024
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We provide a comprehensive overview showing available cross-sectional approaches and their properties in relation to derived requirements for the design of composite rotor blades. The Jung analytical approach shows the best results for accuracy of stiffness terms (coupling and transverse shear) and stress distributions. Improved performance compared to 2D finite element codes could be achieved, making the approach applicable for optimization problems with a high number of design variables.
Claudio Balzani and Pablo Noever Castelos
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2023-167, https://doi.org/10.5194/wes-2023-167, 2024
Revised manuscript under review for WES
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Wind turbine rotor blades consist of several subcomponents that are glued together. Such connections are subjected to fatigue loads. This paper analyzes the characteristics of those fatigue loads in trailing edge adhesive joints of three different wind turbine rotor blades. It is shown that the fatigue loads have significant degrees of non-proportionality, which helps engineers to choose a valid fatigue analysis framework and to design more reliable and cost-efficient rotor blades in the future.
Pablo Noever-Castelos, David Melcher, and Claudio Balzani
Wind Energ. Sci., 7, 623–645, https://doi.org/10.5194/wes-7-623-2022, https://doi.org/10.5194/wes-7-623-2022, 2022
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In the wind energy industry, a digital twin is fast becoming a key instrument for the monitoring of a wind turbine blade's life cycle. Here, our introduced model updating with invertible neural networks provides an efficient and powerful technique to represent the real blade as built. This method is applied to a full finite element Timoshenko beam model of a blade to successfully update material and layup parameters. The advantage over state-of-the-art methods is the established inverse model.
Pablo Noever-Castelos, Bernd Haller, and Claudio Balzani
Wind Energ. Sci., 7, 105–127, https://doi.org/10.5194/wes-7-105-2022, https://doi.org/10.5194/wes-7-105-2022, 2022
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Modern rotor blade designs depend on detailed numerical models and simulations. Thus, a validated modeling methodology is fundamental for reliable designs. This paper briefly presents a modeling algorithm for rotor blades, its validation against real-life full-scale blade tests, and the respective test data. The hybrid 3D shell/solid finite-element model is successfully validated against the conducted classical bending tests in flapwise and lead–lag direction as well as novel torsion tests.
Related subject area
Thematic area: Dynamics and control | Topic: Dynamics and aeroservoelasticity
The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine
Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions
Investigating the interactions between wakes and floating wind turbines using FAST.Farm
A digital twin solution for floating offshore wind turbines validated using a full-scale prototype
Extending the dynamic wake meandering model in HAWC2Farm: a comparison with field measurements at the Lillgrund wind farm
Extreme coherent gusts with direction change – probabilistic model, yaw control, and wind turbine loads
A correction method for large deflections of cantilever beams with a modal approach
A symbolic framework to obtain mid-fidelity models of flexible multibody systems with application to horizontal-axis wind turbines
Marta Bertelè, Paul J. Meyer, Carlo R. Sucameli, Johannes Fricke, Anna Wegner, Julia Gottschall, and Carlo L. Bottasso
Wind Energ. Sci., 9, 1419–1429, https://doi.org/10.5194/wes-9-1419-2024, https://doi.org/10.5194/wes-9-1419-2024, 2024
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A neural observer is used to estimate shear and veer from the operational data of a large wind turbine equipped with blade load sensors. Comparison with independent measurements from a nearby met mast and profiling lidar demonstrate the ability of the
rotor as a sensorconcept to provide high-quality estimates of these inflow quantities based simply on already available standard operational data.
Kristian Ladefoged Ebbehøj, Philippe Jacques Couturier, Lars Morten Sørensen, and Jon Juel Thomsen
Wind Energ. Sci., 9, 1005–1024, https://doi.org/10.5194/wes-9-1005-2024, https://doi.org/10.5194/wes-9-1005-2024, 2024
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This paper experimentally validates a novel method for characterizing wind turbine dynamics based on vibration measurements. The dynamics of wind turbines can change over short time periods if the operational conditions change. In such cases, conventional methods are inadequate. The validation is performed with a controlled laboratory experiment and a full-scale wind turbine test. More accurate characterization could lead to more efficient wind turbine designs and in turn cheaper wind energy.
Lucas Carmo, Jason Jonkman, and Regis Thedin
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-40, https://doi.org/10.5194/wes-2024-40, 2024
Revised manuscript accepted for WES
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As floating wind turbines progress to arrays with multiple units, it becomes important to understand how the wake of a floating turbine affects the performance of other units in the array. Due to the compliance of the floating substructure, the wake of a floating wind turbine may behave differently from that of a fixed turbine. In this work, we present an investigation on the mutual interaction between the motions of floating wind turbines and wakes.
Emmanuel Branlard, Jason Jonkman, Cameron Brown, and Jiatian Zhang
Wind Energ. Sci., 9, 1–24, https://doi.org/10.5194/wes-9-1-2024, https://doi.org/10.5194/wes-9-1-2024, 2024
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In this work, we implement, verify, and validate a physics-based digital twin solution applied to a floating offshore wind turbine. The article present methods to obtain reduced-order models of floating wind turbines. The models are used to form a digital twin which combines measurements from the TetraSpar prototype (a full-scale floating offshore wind turbine) to estimate signals that are not typically measured.
Jaime Liew, Tuhfe Göçmen, Alan W. H. Lio, and Gunner Chr. Larsen
Wind Energ. Sci., 8, 1387–1402, https://doi.org/10.5194/wes-8-1387-2023, https://doi.org/10.5194/wes-8-1387-2023, 2023
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We present recent research on dynamically modelling wind farm wakes and integrating these enhancements into the wind farm simulator, HAWC2Farm. The simulation methodology is showcased by recreating dynamic scenarios observed in the Lillgrund offshore wind farm. We successfully recreate scenarios with turning winds, turbine shutdown events, and wake deflection events. The research provides opportunities to better identify wake interactions in wind farms, allowing for more reliable designs.
Ásta Hannesdóttir, David R. Verelst, and Albert M. Urbán
Wind Energ. Sci., 8, 231–245, https://doi.org/10.5194/wes-8-231-2023, https://doi.org/10.5194/wes-8-231-2023, 2023
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In this work we use observations of large coherent fluctuations to define a probabilistic gust model. The gust model provides the joint description of the gust rise time, amplitude, and direction change. We perform load simulations with a coherent gust according to the wind turbine safety standard and with the probabilistic gust model. A comparison of the simulated loads shows that the loads from the probabilistic gust model can be significantly higher due to variability in the gust parameters.
Ozan Gözcü, Emre Barlas, and Suguang Dou
Wind Energ. Sci., 8, 109–124, https://doi.org/10.5194/wes-8-109-2023, https://doi.org/10.5194/wes-8-109-2023, 2023
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This study proposes a fast correction method for modal-based reduced-order models to account for geometric nonlinearities linked to large bending deflections in cantilever beam-like engineering structures. The large deflections cause secondary motions such as axial and torsional motions when the structures go through bending deflections. The method relies on pre-computed correction terms and thus adds negligibly small extra computational cost to the time domain analyses of the dynamic response.
Emmanuel Branlard and Jens Geisler
Wind Energ. Sci., 7, 2351–2371, https://doi.org/10.5194/wes-7-2351-2022, https://doi.org/10.5194/wes-7-2351-2022, 2022
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The article presents a framework to obtain the linear and nonlinear equations of motion of a multibody system including rigid and flexible bodies. The method yields compact symbolic equations of motion. The applications are many, such as time-domain simulation, stability analyses, frequency domain analyses, advanced controller design, state observers, and digital twins.
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Short summary
Aeroelastic stability simulations are needed to guarantee the safety and overall robust design of wind turbines. To increase our confidence in these simulations in the future, the sensitivity of the stability analysis with respect to variability in the structural properties of the wind turbine blades is investigated. Multiple state-of-the-art tools are compared and the study shows that even though the tools predict similar stability behavior, the sensitivity might be significantly different.
Aeroelastic stability simulations are needed to guarantee the safety and overall robust design...
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