Articles | Volume 5, issue 2
Wind Energ. Sci., 5, 503–517, 2020
https://doi.org/10.5194/wes-5-503-2020
Wind Energ. Sci., 5, 503–517, 2020
https://doi.org/10.5194/wes-5-503-2020
Research article
20 Apr 2020
Research article | 20 Apr 2020

The effects of blade structural model fidelity on wind turbine load analysis and computation time

Ozan Gözcü and David R. Verelst

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Cited articles

DVN GL: BLADED Theory Manual version 4.9, Tech. rep., Garrad Hassan and Partners Ltd, Bristol, UK, 2018. a
Bak, C., Zahle, F., Bitsche, R., Kim, T., Yde, A., Henriksen, L. C., Hansen, M. H., and Natarajan, A.: The DTU 10-MW Reference Wind Turbine, Tech. Rep. Report-I-0092, DTU Wind Energy, 2013. a, b
Beardsell, A., Collier, W., and Han, T.: Effect of linear and non-linear blade modelling techniques on simulated fatigue and extreme loads using Bladed, J. Phys. Conf. Ser., 753, 042002, https://doi.org/10.1088/1742-6596/753/4/042002, 2016. a
Bortolotti, P., Tarres, H. C., Dykes, K. L., Merz, K., Sethuraman, L., Verelst, D., and Zahle, F.: IEA Wind TCP Task 37: Systems Engineering in Wind Energy – WP2.1 Reference Wind Turbines, Tech. Rep. NREL/TP-5000-73492, National Renewable Energy Lab. (NREL), Golden, CO (United States), https://doi.org/10.2172/1529216, 2019. a, b, c
Cardona, A. and Géradin, M.: Flexible multibody dynamics: a finite element approach, John Wiley, Chichester, UK, 2001. a
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Short summary
Geometrically nonlinear blade modeling effects on the turbine loads and computation time are investigated in an aero-elastic code based on multibody formulation. A large number of fatigue load cases are used in the study. The results show that the nonlinearities become prominent for large and flexible blades. It is possible to run nonlinear models without significant increase in computational time compared to the linear model by changing the matrix solver type from dense to sparse.