Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-443-2017
https://doi.org/10.5194/wes-2-443-2017
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, Jason Jonkman, Ryan Sievers, Michael A. Sprague, Scott Schreck, and Qi Wang

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Cited articles

Bayarri, M., Berger, J., Paulo, R., Sacks, J., cafeo, J., Cavendish, J., and Lin, C.-H.: A Framework for Validation of Computer Models, in: Technometrics, 49, 138–154, American Statistical Association and the American Society for Quality, https://doi.org/10.1198/004017007000000092, 2007.
Bergami, L. and Gaunaa, M.: Analysis of aeroelastic loads and their contributions to fatigue damage, Journal of Physics: Conference Series, 555, 012007, http://stacks.iop.org/1742-6596/555/i=1/a=012007, 2014.
Blasques, J. P., Bitsche, R. D., Fedorov, V., and Lazarov, B. S.: Accuracy of an efficient framework for structural analysis of wind turbine blades, Wind Energy, 19, 1603–1621, https://doi.org/10.1002/we.1939, 2016.
Damiani, R., Haymany, G., Wangz, Q., Jonkman, J., and Gonzalez, A.: Development and Validation of a New Unsteady Airfoil Aerodynamics Model Within AeroDyn, in: 34th Wind Energy Symposium, American Institute of Aeronautics and Astronautics, San Diego, CA, 2016.
Guntur, S., Jonkman, J., Schreck, S., Jonkman, B., Wang, Q., Sprague, M., Hind, M., and Sievers, R.: FAST v8 Verification and Validation for a Megawatt-Scale Wind Turbine with Aeroelastically Tailored Blades, in: 34th Wind Energy Symposium, AIAA SciTech, San Diego, CA, USA, https://doi.org/10.2514/6.2016-1008, 2016.
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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.
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