Articles | Volume 9, issue 8
https://doi.org/10.5194/wes-9-1791-2024
© 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-9-1791-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Aug 2024
Research article |
| 23 Aug 2024
| 23 Aug 2024
One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST
Sandia National Laboratories, Albuquerque, NM, USA
Pietro Bortolotti
National Renewable Energy Laboratory, Golden, CO, USA
Emmanuel Branlard
Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, USA
Mayank Chetan
National Renewable Energy Laboratory, Golden, CO, USA
Scott Dana
National Renewable Energy Laboratory, Golden, CO, USA
Nathaniel deVelder
Sandia National Laboratories, Albuquerque, NM, USA
Paula Doubrawa
National Renewable Energy Laboratory, Golden, CO, USA
Nicholas Hamilton
National Renewable Energy Laboratory, Golden, CO, USA
Hristo Ivanov
National Renewable Energy Laboratory, Golden, CO, USA
Jason Jonkman
National Renewable Energy Laboratory, Golden, CO, USA
Christopher Kelley
Sandia National Laboratories, Albuquerque, NM, USA
Daniel Zalkind
National Renewable Energy Laboratory, Golden, CO, USA
Viewed
Total article views: 5,126 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Jan 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,736 | 1,243 | 147 | 5,126 | 138 | 189 |
- HTML: 3,736
- PDF: 1,243
- XML: 147
- Total: 5,126
- BibTeX: 138
- EndNote: 189
Total article views: 3,596 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Aug 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,968 | 526 | 102 | 3,596 | 101 | 157 |
- HTML: 2,968
- PDF: 526
- XML: 102
- Total: 3,596
- BibTeX: 101
- EndNote: 157
Total article views: 1,530 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Jan 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 768 | 717 | 45 | 1,530 | 37 | 32 |
- HTML: 768
- PDF: 717
- XML: 45
- Total: 1,530
- BibTeX: 37
- EndNote: 32
Viewed (geographical distribution)
Total article views: 5,126 (including HTML, PDF, and XML)
Thereof 4,922 with geography defined
and 204 with unknown origin.
Total article views: 3,596 (including HTML, PDF, and XML)
Thereof 3,429 with geography defined
and 167 with unknown origin.
Total article views: 1,530 (including HTML, PDF, and XML)
Thereof 1,493 with geography defined
and 37 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Study on Load Characteristics and Fatigue Life of a Distributed Pitch Wind Turbine Under Turbulent Wind Conditions D. Bao et al. https://doi.org/10.3390/en19102409
- Wind Turbine Model Validation Is Improved by High‐Resolution, Measurement‐Derived Inflows D. Houck et al. https://doi.org/10.1002/we.70120
- Aeroelastic Study of Downwind and Upwind Configurations Under Different Power Levels of Wind Turbines Z. Sun et al. https://doi.org/10.3390/machines13070599
- Оценка несущей способности опорных конструкций арктической ветроэнергетической установки на основе аэросервоупругого моделирования И. Ригель & В. Елистратов https://doi.org/10.22227/1997-0935.2025.7.1030-1050
- Numerical simulation of the stability and energy capture of a hybrid floating offshore wind and wave energy system with elliptical cylindrical wave energy converters Z. Liu et al. https://doi.org/10.1016/j.jclepro.2026.148884
- Vibration of blades and towers in large offshore and floating wind turbines: Mechanisms, modelling credibility and mitigation pathways Z. Zuo et al. https://doi.org/10.1016/j.rser.2026.117246
- Comparison of wind-farm control strategies under realistic offshore wind conditions: wake quantities of interest K. Brown et al. https://doi.org/10.5194/wes-10-1737-2025
- Underwater Radiated Noise Analysis of Fixed Offshore Wind Turbines Considering the Acoustic Properties of the Western Coast of the Korean Peninsula J. Lee et al. https://doi.org/10.3390/en18236151
- Comparison of measured and simulated fatigue loads on a multi-megawatt wind turbine A. Patel et al. https://doi.org/10.5194/wes-11-1147-2026
- Spectral proper orthogonal decomposition of active wake mixing dynamics in a stable atmospheric boundary layer G. Yalla et al. https://doi.org/10.5194/wes-10-2449-2025
- Dynamic Analysis of Jacket-Type Offshore Wind Turbine Considering Equivalent Scour Effect and Wind-Wave Directionality B. Wang et al. https://doi.org/10.3390/jmse14161452
- Upwind vs. downwind: loads and acoustics of a 1.5 MW wind turbine P. Bortolotti et al. https://doi.org/10.5194/wes-10-2025-2025
- An Inverse Design and Optimization Framework for Offshore Wind Turbine Modeling from In Situ Measurements with Uncertainty Characterization R. Haghi et al. https://doi.org/10.3390/en19133001
- Deep Learning Approaches for Offshore Wind Turbine Load Prediction: A Comparative Study Using Simulation, Measurement, and Transfer Learning D. Liu et al. https://doi.org/10.1088/1742-6596/3131/1/012030
14 citations as recorded by crossref.
- Study on Load Characteristics and Fatigue Life of a Distributed Pitch Wind Turbine Under Turbulent Wind Conditions D. Bao et al. https://doi.org/10.3390/en19102409
- Wind Turbine Model Validation Is Improved by High‐Resolution, Measurement‐Derived Inflows D. Houck et al. https://doi.org/10.1002/we.70120
- Aeroelastic Study of Downwind and Upwind Configurations Under Different Power Levels of Wind Turbines Z. Sun et al. https://doi.org/10.3390/machines13070599
- Оценка несущей способности опорных конструкций арктической ветроэнергетической установки на основе аэросервоупругого моделирования И. Ригель & В. Елистратов https://doi.org/10.22227/1997-0935.2025.7.1030-1050
- Numerical simulation of the stability and energy capture of a hybrid floating offshore wind and wave energy system with elliptical cylindrical wave energy converters Z. Liu et al. https://doi.org/10.1016/j.jclepro.2026.148884
- Vibration of blades and towers in large offshore and floating wind turbines: Mechanisms, modelling credibility and mitigation pathways Z. Zuo et al. https://doi.org/10.1016/j.rser.2026.117246
- Comparison of wind-farm control strategies under realistic offshore wind conditions: wake quantities of interest K. Brown et al. https://doi.org/10.5194/wes-10-1737-2025
- Underwater Radiated Noise Analysis of Fixed Offshore Wind Turbines Considering the Acoustic Properties of the Western Coast of the Korean Peninsula J. Lee et al. https://doi.org/10.3390/en18236151
- Comparison of measured and simulated fatigue loads on a multi-megawatt wind turbine A. Patel et al. https://doi.org/10.5194/wes-11-1147-2026
- Spectral proper orthogonal decomposition of active wake mixing dynamics in a stable atmospheric boundary layer G. Yalla et al. https://doi.org/10.5194/wes-10-2449-2025
- Dynamic Analysis of Jacket-Type Offshore Wind Turbine Considering Equivalent Scour Effect and Wind-Wave Directionality B. Wang et al. https://doi.org/10.3390/jmse14161452
- Upwind vs. downwind: loads and acoustics of a 1.5 MW wind turbine P. Bortolotti et al. https://doi.org/10.5194/wes-10-2025-2025
- An Inverse Design and Optimization Framework for Offshore Wind Turbine Modeling from In Situ Measurements with Uncertainty Characterization R. Haghi et al. https://doi.org/10.3390/en19133001
- Deep Learning Approaches for Offshore Wind Turbine Load Prediction: A Comparative Study Using Simulation, Measurement, and Transfer Learning D. Liu et al. https://doi.org/10.1088/1742-6596/3131/1/012030
Saved (final revised paper)
Latest update: 31 Aug 2026
Short summary
This paper presents a study of the popular wind turbine design tool OpenFAST. We compare simulation results to measurements obtained from a 2.8 MW land-based wind turbine. Measured wind conditions were used to generate turbulent flow fields through several techniques. We show that successful validation of the tool is not strongly dependent on the inflow generation technique used for mean quantities of interest. The type of inflow assimilation method has a larger effect on fatigue quantities.
This paper presents a study of the popular wind turbine design tool OpenFAST. We compare...
Altmetrics
Final-revised paper
Preprint