Abstract
Vortex-induced integral loading fluctuations on a single suspended blade at various inflow angles were modeled in the presents work by means of stochastic modelling methods. The reference time series were obtained by 3D DES CFD computations carried out on the DTU 10MW reference wind turbine blade. In the reference time series, the flapwise force component, Fx, showed both higher absolute values and variation than the chordwise force component, Fz, for every inflow angle considered. For this reason, the present paper focused on modelling of the Fx and not the Fz whereas Fz would be modelled using exactly the same procedure. The reference time series were significantly different, depending on the inflow angle. This made the modelling of all the time series with a single and relatively simple engineering model challenging. In order to find model parameters, optimizations were carried out, based on the root-mean-square error between the Single-Sided Amplitude Spectra of the reference and modelled time series. In order to model well defined frequency peaks present at certain inflow angles, optimized sine functions were superposed on the stochastically modelled time series. The results showed that the modelling accuracy varied depending on the inflow angle. None the less, the modelled and reference time series showed a satisfactory general agreement in terms of their visual and frequency characteristics. This indicated that the proposed method is suitable to model loading fluctuations on suspended blades.
Original language | English |
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Article number | 082037 |
Book series | Journal of Physics: Conference Series (Online) |
Volume | 753 |
Issue number | 8 |
Number of pages | 10 |
ISSN | 1742-6596 |
DOIs | |
Publication status | Published - 2016 |
Event | The Science of Making Torque from Wind 2016 - Technische Universität München (TUM), Munich, Germany Duration: 5 Oct 2016 → 7 Oct 2016 Conference number: 6 https://www.events.tum.de/?sub=29 |
Conference
Conference | The Science of Making Torque from Wind 2016 |
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Number | 6 |
Location | Technische Universität München (TUM) |
Country/Territory | Germany |
City | Munich |
Period | 05/10/2016 → 07/10/2016 |
Internet address |