Wind and Structures

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Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel

  • Siddiqui, M. Salman (Department of Mathematical Sciences, Norwegian University of Science and Technology) ;
  • Rasheed, Adil (Department of Mathematics and Cybernetics, SINTEF Digital) ;
  • Kvamsdal, Trond (Department of Mathematical Sciences, Norwegian University of Science and Technology)
  • Received : 2019.02.05
  • Accepted : 2019.07.10
  • Published : 2019.12.25
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Abstract

Aerodynamic characteristic of a small scale wind turbine under the influence of an incoming uniform wind field is studied using k-ω Shear Stress Transport turbulence model. Firstly, the lift and drag characteristics of the blade section consisting of S826 airfoil is studied using 2D simulations at a Reynolds number of 1×105. After that, the full turbine including the rotational effects of the blade is simulated using Multiple Reference Frames (MRF) and Sliding Mesh Interface (SMI) numerical techniques. The differences between the two techniques are quantified. It is then followed by a detailed comparison of the turbine's power/thrust output and the associated wake development at three tip speeds ratios (λ = 3, 6, 10). The phenomenon of blockage effect and spatial features of the flow are explained and linked to the turbines power output. Validation of wake profiles patterns at multiple locations downstream is also performed at each λ. The present work aims to evaluate the potential of the numerical methods in reproducing wind tunnel experimental results such that the method can be applied to full-scale turbines operating under realistic conditions in which observation data is scarce or lacking.

Keywords

Acknowledgement

Supported by : NOWITECH: Norwegian Research Centre for Offshore Wind Technology, FSI-WT, OPWIND: Operational Control for Wind Power Plants

The authors acknowledge the financial support from the Norwegian Research Council and the industrial partners of NOWITECH: Norwegian Research Centre for Offshore Wind Technology (Grant No.: 193823/S60) (http://www.nowitech.no), FSI-WT (Grant No.: 216465/E20) (http://www.fsi-wt.no) and OPWIND: Operational Control for Wind Power Plants (Grant No.: 268044/E20). Furthermore, the authors greatly acknowledge the Norwegian Metacenter for computational science (NOTUR-reference number: NN9322K/1589) (www.notur.no) for giving us access to the Vilje highperformance computer at the Norwegian University of Science and Technology (NTNU).

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