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Extreme Load Estimation for a Large Wind Turbine Using CFD and Unsteady BEM

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Computational Science and Its Applications – ICCSA 2013 (ICCSA 2013)

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Abstract

The numerical approach of an aerodynamic and structural load acting on NREL 5MW baseline wind turbine blade have been performed by using computational fluid dynamics (CFD) and unsteady blade element momentum theory (UBEM). Also, the optimal parameters required to design for wind turbine including a nacelle and a tower are investigated in this study. The computational model applied here was based on the Reynolds Average Navier-Stokes (RANS) equation using sliding mesh technique that is the most accurate method for simulating flows in multiple moving reference frames, but also the most computationally demanding. The k-ω shear-stress transport (k-ω SST) turbulent model is used for the unsteady state computations. An aerodynamic thrust and power have been computed along with the azimuth angle variation of the blade for an extreme coherent gust (ECG), an extreme operation gust (EOG) condition, based on a predefined function. In application of UBEM, three-dimensional stall model has been adopted to calculate load components on the wind turbine rotor. Structural loads considering gravity and rotational inertia are calculated from both UBEM method and CFD. The aerodynamic power and thrust of HAWT along with the wind speed variation ranging from 8 to 25m/sec are compared to the published data for the validation with a good agreement.

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Tran, TT., Kim, DH., Bae, KS. (2013). Extreme Load Estimation for a Large Wind Turbine Using CFD and Unsteady BEM. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39640-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-39640-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39639-7

  • Online ISBN: 978-3-642-39640-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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