Articles | Volume 9, issue 1
https://doi.org/10.5194/wes-9-203-2024
© 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-9-203-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Influence of rotor blade flexibility on the near-wake behavior of the NREL 5 MW wind turbine
Leo Höning
CORRESPONDING AUTHOR
Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Aerodynamics and Numerical Wind Energy Meteorology, Fraunhofer Institute for Wind Energy Systems – Fraunhofer IWES, Küpkersweg 70, 26129 Oldenburg, Germany
Laura J. Lukassen
Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Bernhard Stoevesandt
Aerodynamics and Numerical Wind Energy Meteorology, Fraunhofer Institute for Wind Energy Systems – Fraunhofer IWES, Küpkersweg 70, 26129 Oldenburg, Germany
Iván Herráez
Laboratory for Wind and Solar Energy, University of Applied Sciences Emden/Leer, Constantiapl. 4, 26723 Emden, Germany
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Revised manuscript not accepted
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Cited articles
Ainslie, J. F.: Calculating the flowfield in the wake of wind turbines, J. Wind Eng. Ind. Aerod., 27, 213–224, 1988. a
Arnold, M. and Brüls, O.: Convergence of the generelized-α scheme for constrained mechanical systems, Multibody Syst. Dyn., 18, 185–202, 2007. a
Global Wind Energy Council: Global Wind Report, , https://gwec.net/global-wind-report-2021/, (last access: April 2022), 2021. a
Grinderslev, C., González Horcas, S., and Sørensen, N. M.: Fluid-structure interaction simulations of a wind turbine rotor in complex flows, valicated through field experiments, Wind Energy, 24, 1–17, https://doi.org/10.1002/we.2639, 2021. a
Guma, G., Bangga, G., Lutz, T., and Krämer, E.: Aeroelastic analysis of wind turbines under turbulent inflow conditions, Wind Energ. Sci., 6, 93–110, https://doi.org/10.5194/wes-6-93-2021, 2021. a
Hansen, M.: Aeroelastic instability problems for wind turbines, Wind Energy, 10, 551–577, 2007. a
Heinz, J. C., Sørensen, N. N., and Zahle, F.: Fluid-structure interaction computations for geometrically resolved rotor simulations using CFD, Wind Energy, 19, 2205–2221, 2016a. a
Heinz, J. C., Sørensen, N. N., Zahle, F., and Skrzypiński, W.: Vortex-induced vibrations on a modern wind turbine blade, Wind Energy, 19, 2041–2051, 2016b. a
Herráez, I., Micallef D., and van Kuik, G. A. M.: Influence of the conservative rotor loads on the near wake of a wind turbine, J. Phys Conf. Ser., 854, 012022, https://doi.org/10.1088/1742-6596/854/1/012022, 2017. a, b, c
Hodgkin, A., Laizet, S., and Deskos, G.: Numerical investigation of the influence of shear and thermal stratification on the wind turbine tip-vortex stability, Wind Energy, 25, 1–20, https://doi.org/10.1002/we.2728, 2022. a
Horcas, S. G., Sørensen, N. N., Zahle, F., Pirrung, G. R., and Barlas, T.: Vibrations of wind turbine blades in standstill: Mapping the influence of the inflow angles, Phys. Fluids, 34, 054105, https://doi.org/10.1063/5.0088036, 2022. a
HPC: EDDY, High Performance Cluster, University of Oldenburg, https://uol.de/fk5/wr/hochleistungsrechnen/hpc-facilities/eddy (last access: March 2022). a
Imiela, M., Wienke, F., Rautmann, C., Willberg, C., Hilmer, P., and Krumme, A.: Towards multidisciplinary wind turbine design using high-fidelity methods, AIAA Scitech, 33rd Wind Energy Symposium, Kissimmee, Florida, 5–9 January 2015, Conference Proceedings, 1462, https://doi.org/10.2514/6.2015-1462, 2015. a, b
Jeong, J. and Hussain, F.: On the identification of a vortex, J. Fluid Mech., 285, 69–94, 1995. a
Jonkman, J., Butterfield, S., Musial, W., and Scott, G.: Definition of a 5-MW reference wind turbine for offshore system development, NREL/TP-500-38060, https://www.nrel.gov/docs/fy09osti/38060.pdf (last access: 1 March 2023), 2009. a
Manolas, D. I., Chaviaropoulos, P. K., and Riziotis, V. A.: Assessment of Vortex Induced Vibrations on wind turbines, J. Phys. Conf. Ser., 2257, 012011, https://doi.org/10.1088/1742-6596/2257/1/012011, 2022. a
Micallef, D., Ferreira, C. S., Sant, T., and van Bussel, G.: Experimental and numerical investigation of tip vortex generation and evolution on horizontal axis wind turbines, Wind Energy, 19, 1485–1501, https://doi.org/10.1002/we.1932, 2016. a
Micallef, D., Ferreira, C., Herráez, I., Höning, L., Yu, W., and Capdevila, H.: Assessment of actuator disc models in predicting radial flow and wake expansion, J. Wind Eng. Ind. Aerod., 207, 104396, https://doi.org/10.1016/j.jweia.2020.104396, 2020. a, b
Mühle, F., Adaramola, M. S., and Sætran, L.: The effect of rotational direction on the wake of a wind turbine rotor-a comparison study of aligned co-and counter rotating turbine arrays, Energy Procedia, 137, 238–245, 2017. a
OpenFOAM: Open Source Field Operation and Manipulation, https://openfoam.org (last access: January 2022). a
Rahimi, H., Daniele, E., Stoevesandt, B., and Peinke, J.: Development and application of a grid generation tool for aerodynamic simulations of wind turbines, Wind Engineering, 40, 148–172, 2016a. a
Rahimi, H., Dose, B., Stoevesandt, B., and Peinke, J.: Investigation of the validity of BEM for simulation of wind turbines in complex load cases and comparison with experiment and CFD, J. Phys. Conf. Ser., 749, 012015, https://doi.org/10.1088/1742-6596/749/1/012015, 2016b. a
Rahimi, H., Hartvelt, M., Peinke, J., and Schepers, J. G.: Investigation of the current yaw engineering models for simulation of wind turbines in BEM and comparison with CFD and experiment, J. Phys. Conf. Ser., 753, 022016, https://doi.org/10.1088/1742-6596/753/2/022016, 2016c. a
Rahimi, H., Martinez Garcia, A., Stoevesandt, B., Peinke, J., and Schepers, G.: An engineering model for wind turbines under yawed conditions derived from high fidelity models, Wind Energy, 21, 618–633, 2018. a
Rajakumar, S. and Ravindran, D.: Computational fluid dynamics of windturbine blade at various angles of attack and low Reynolds number, International Journal of Engineering Science and Technology, 2, 6474–6484, https://www.ijest.info/docs/IJEST10-02-11-073.pdf (last access: 1 March 2023), 2010. a
Reissner, E.: On one-dimensional finite-strain beam theory: the plane problem, Z. Angew. Math. Phys., 23, 795–804, 1972. a
Sayed, M., Lutz, T., Krämer, E., Shayegan, S., and Wüchner, R.: Aeroelastic analysis of 10 MW wind turbine using CFD-CSF explicit FSI-coupling approach, J. Fluid. Struct., 87, 354–377, 2019. a
Schepers, J. G., Boorsma K., Sørensen, N., Voutsinas, Sieros, G., Rahimi, H., Heisselmann, H., Jost, E., Lutz, T., Maeder, T., Gonzalez, A., Ferreira, C., Stoevesandt, B., Barakos, G., Lampropoulos, N., Croce, A., and Madsen, J.: Final results from the EU project AVATAR: Aerodynamic modelling of 10 MW wind turbines, The Science of Making Torque from Wind, J. Phys. Conf. Ser., 1037, 1–18, 2018. a
Serrano-González, J. and Lacal-Arántegui, R.: Technological evolution of onshore wind turbines - a market-based analysis, Wind Energy, 19, 2171–2187, 2016. a
Shen, W. Z., Zakkam, V. A. K., Sørensen, J. N., and Appa, K.: Analysis of counter-rotating wind turbines, Journal of Physics Conference Series, 75, 2007. a
Simo, J. C.: A finite strain beam formulation. The three-dimensional dynamic problem, Part I, Comput. Meth. Appl. Mech. Eng., 49, 55–70, 1985. a
Spalart, P. R., Deck, S., Shur, M. L., Squires, K. D., Strelets, M. K., and Travin, A.: A New Version of Detached-eddy Simulation, Resistant to Ambiguous Grid Densities, Theor. Comp. Fluid Dyn., 20, 181–195, 2006. a
U.S. Department of Energy: Land-Based Wind Market Report: 2021 Edition, U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, https://www.energy.gov/sites/default/files/2021-08/Land-Based Wind Market Report 2021 Edition_Full Report_FINAL.pdf (last access: 1 March 2023), 2021. a
WindEurope Business Intelligence: Wind Energy in Europe. 2021 Statistics and the outlook for 2022–2026, February 2022, https://windeurope.org/intelligence-platform/product/wind-energy-in-europe-2021-statistics-and-the-outlook-for-2022-2026/ (last access: 10 April 2022), 2022. a
Zhang, W., Markfort, C. D., and Porté-Agel, F.: Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer, Exp. Fluids, 52, 1219–1235, 2012. a
Short summary
This study analyzes the impact of wind turbine rotor blade flexibility on the aerodynamic loading of the blades and the consequential wind characteristics in the near wake of the turbine. It is shown that gravitation leads to rotational periodic fluctuations of blade loading, which directly impacts the trajectory of the blade tip vortex at different rotor blade positions while also resulting in a non-uniform wind velocity deficit in the wake of the wind turbine.
This study analyzes the impact of wind turbine rotor blade flexibility on the aerodynamic...
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