Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2017-57
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research articles
02 Jan 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
Free flow wind speed from a blade-mounted flow sensor
Mads Mølgaard Pedersen1, Torben Juul Larsen1, Helge Aagaard Madsen1, and Søren Juhl Andersen2 1Wind Energy Department, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
2Wind Energy Department, Technical University of Denmark, Nils Koppels Alle, Building 403, 2800 Kgs. Lyngby, Denmark
Abstract. This paper presents a method for obtaining the free inflow velocities from a 3D flow sensor mounted on the blade of a wind turbine.

From its position on the rotating blade, e.g. one third from the tip, a blade mounted flow sensor (BMFS) is able to provide valuable information about the turbulent sheared inflow in different regions of the rotor. At the rotor, however, the inflow is affected by the wind turbine, and in most cases the wind of interest is the inflow that the wind turbine is exposed to; i.e. the free inflow velocities.

The current method applies a combination of aerodynamic models and procedures to estimate the induced velocities, i.e. the disturbance of the flow field caused by the wind turbine. These velocities are subtracted from the flow velocities measured by the BMFS to obtain the free inflow velocities. Aeroelastic codes, like HAWC2, typically use a similar approach to calculate the induction, but they use it for the reversed process, i.e. they add the induction to the free inflow to get the flow velocities at the blades which are required to calculate the resulting aerodynamic forces.

The aerodynamic models included in the current method comprise blade-element-momentum (BEM) based models for axial and tangential induction, a radial induction model and tip loss correction as well as models for skew and dynamic inflow.

It is shown that the method is able to calculate the free inflow velocities with high accuracy when applied to aeroelastic HAWC2 simulations with a stiff structural model while some deviations are seen in simulations with a flexible structure.

Furthermore, the method is tested on simulations performed by a flexible structural model coupled with a large eddy simulation (LES) flow solver. The results of this higher fidelity verification confirm the HAWC2-based conclusion.


Citation: Pedersen, M. M., Larsen, T. J., Madsen, H. A., and Andersen, S. J.: Free flow wind speed from a blade-mounted flow sensor, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2017-57, in review, 2018.
Mads Mølgaard Pedersen et al.
Mads Mølgaard Pedersen et al.
Mads Mølgaard Pedersen et al.

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Short summary
The wind speed measured by a flow sensor mounted on the blade of a wind turbine is disturbed by the turbine. This paper presents a method to obtain the free turbulence inflow by compensating for this disturbance. The method is tested using numerical simulations and can e.g. be used to extract inflow information for accurate aeroelastic load simulations.
The wind speed measured by a flow sensor mounted on the blade of a wind turbine is disturbed by...
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