Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-443-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/wes-2-443-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Aug 2017
Research article |
| 29 Aug 2017
A validation and code-to-code verification of FAST for a megawatt-scale wind turbine with aeroelastically tailored blades
Srinivas Guntur
CORRESPONDING AUTHOR
National Renewable Energy Laboratory, Golden, CO, USA
currently at: Siemens Wind Power, Inc., Boulder, CO, USA
Jason Jonkman
National Renewable Energy Laboratory, Golden, CO, USA
Ryan Sievers
Siemens Wind Power, Inc., Boulder, CO, USA
Michael A. Sprague
National Renewable Energy Laboratory, Golden, CO, USA
Scott Schreck
National Renewable Energy Laboratory, Golden, CO, USA
Qi Wang
National Renewable Energy Laboratory, Golden, CO, USA
currently at: Siemens Wind Power, Inc., Boulder, CO, USA
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Cited
20 citations as recorded by crossref.
- Norm-Optimal Iterative Learning Control for Wind Turbines During Grid Faults D. Spijkerman et al. 10.1088/1742-6596/2767/3/032002
- 3D multiscale dynamic analysis of offshore wind turbine blade under fully coupled loads B. Wang et al. 10.1016/j.renene.2024.119985
- Dynamic ice loads for offshore wind support structure design T. Hammer et al. 10.1016/j.marstruc.2022.103335
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Development of a control co-design optimization framework with aeroelastic-control coupling for floating offshore wind turbines X. Du et al. 10.1016/j.apenergy.2024.123728
- Coupled rigid-flexible dynamics modeling and validations of floating offshore wind turbine Z. Liu et al. 10.1016/j.oceaneng.2022.113200
- Robust control of wind turbines to reduce wind power fluctuation M. Tang et al. 10.1002/ese3.1680
- Performance and reliability study of China's first megawatt-scale horizontal-axis tidal turbine P. Wang et al. 10.1016/j.apor.2023.103648
- Comparative study of short-term extreme responses and fatigue damages of a floating wind turbine using two different blade models X. Qu et al. 10.1016/j.apor.2020.102088
- Multibody modeling for concept-level floating offshore wind turbine design F. Lemmer et al. 10.1007/s11044-020-09729-x
- The effects of blade structural model fidelity on wind turbine load analysis and computation time O. Gözcü & D. Verelst 10.5194/wes-5-503-2020
- Data analysis of the TetraSpar demonstrator measurements D. Singh et al. 10.1088/1742-6596/2767/6/062025
- Reaction loads analysis of floating offshore wind turbines: Methods and applications in the modal-based modeling framework C. Høeg & Z. Zhang 10.1016/j.oceaneng.2022.112952
- Global estimations of wind energy potential considering seasonal air density changes A. Ulazia et al. 10.1016/j.energy.2019.115938
- Sensitivity of the seismic response of monopile-supported offshore wind turbines to soil variability S. Panagoulias et al. 10.1016/j.oceaneng.2022.113545
- Dynamic characteristics and parameter analysis of a floating hybrid wind-wave energy system based on a novel coupled numerical framework M. Han et al. 10.1016/j.enconman.2024.118558
- ExaWind: A multifidelity modeling and simulation environment for wind energy M. Sprague et al. 10.1088/1742-6596/1452/1/012071
- One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST K. Brown et al. 10.5194/wes-9-1791-2024
- Fatigue prediction of wind turbine main bearing based on field measurement and three-dimensional elastic drivetrain model T. Ishihara et al. 10.1016/j.engfailanal.2024.108985
- An investigation of the impact of turbulence intermittency on the rotor loads of a small wind turbine A. KC et al. 10.1016/j.renene.2021.01.049
20 citations as recorded by crossref.
- Norm-Optimal Iterative Learning Control for Wind Turbines During Grid Faults D. Spijkerman et al. 10.1088/1742-6596/2767/3/032002
- 3D multiscale dynamic analysis of offshore wind turbine blade under fully coupled loads B. Wang et al. 10.1016/j.renene.2024.119985
- Dynamic ice loads for offshore wind support structure design T. Hammer et al. 10.1016/j.marstruc.2022.103335
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Development of a control co-design optimization framework with aeroelastic-control coupling for floating offshore wind turbines X. Du et al. 10.1016/j.apenergy.2024.123728
- Coupled rigid-flexible dynamics modeling and validations of floating offshore wind turbine Z. Liu et al. 10.1016/j.oceaneng.2022.113200
- Robust control of wind turbines to reduce wind power fluctuation M. Tang et al. 10.1002/ese3.1680
- Performance and reliability study of China's first megawatt-scale horizontal-axis tidal turbine P. Wang et al. 10.1016/j.apor.2023.103648
- Comparative study of short-term extreme responses and fatigue damages of a floating wind turbine using two different blade models X. Qu et al. 10.1016/j.apor.2020.102088
- Multibody modeling for concept-level floating offshore wind turbine design F. Lemmer et al. 10.1007/s11044-020-09729-x
- The effects of blade structural model fidelity on wind turbine load analysis and computation time O. Gözcü & D. Verelst 10.5194/wes-5-503-2020
- Data analysis of the TetraSpar demonstrator measurements D. Singh et al. 10.1088/1742-6596/2767/6/062025
- Reaction loads analysis of floating offshore wind turbines: Methods and applications in the modal-based modeling framework C. Høeg & Z. Zhang 10.1016/j.oceaneng.2022.112952
- Global estimations of wind energy potential considering seasonal air density changes A. Ulazia et al. 10.1016/j.energy.2019.115938
- Sensitivity of the seismic response of monopile-supported offshore wind turbines to soil variability S. Panagoulias et al. 10.1016/j.oceaneng.2022.113545
- Dynamic characteristics and parameter analysis of a floating hybrid wind-wave energy system based on a novel coupled numerical framework M. Han et al. 10.1016/j.enconman.2024.118558
- ExaWind: A multifidelity modeling and simulation environment for wind energy M. Sprague et al. 10.1088/1742-6596/1452/1/012071
- One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST K. Brown et al. 10.5194/wes-9-1791-2024
- Fatigue prediction of wind turbine main bearing based on field measurement and three-dimensional elastic drivetrain model T. Ishihara et al. 10.1016/j.engfailanal.2024.108985
- An investigation of the impact of turbulence intermittency on the rotor loads of a small wind turbine A. KC et al. 10.1016/j.renene.2021.01.049
Latest update: 14 Dec 2024
Short summary
This paper presents a validation and code-to-code verification of the U.S. Dept of Energy/NREL wind turbine aeroelastic code, FAST v8, on a 2.3 MW wind turbine. Model validation is critical to any model-based research and development activity, and validation efforts on large turbines, as the current one, are extremely rare, mainly due to the scale. This paper, which was a collaboration between NREL and Siemens Wind Power, successfully demonstrates and validates the capabilities of FAST.
This paper presents a validation and code-to-code verification of the U.S. Dept of Energy/NREL...
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