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Effect of computational grid on accurate prediction of a wind turbine rotor using delayed detached-eddy simulations

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Abstract

The present study focuses on the impact of grid for accurate prediction of the MEXICO rotor under stalled conditions. Two different blade mesh topologies, O and C-H meshes, and two different grid resolutions are tested for several time step sizes. The simulations are carried out using Delayed detached-eddy simulation (DDES) with two eddy viscosity RANS turbulence models, namely Spalart-Allmaras (SA) and Menter Shear stress transport (SST) k-ω. A high order spatial discretization, WENO (Weighted essentially nonoscillatory) scheme, is used in these computations. The results are validated against measurement data with regards to the sectional loads and the chordwise pressure distributions. The C-H mesh topology is observed to give the best results employing the SST k-ω turbulence model, but the computational cost is more expensive as the grid contains a wake block that increases the number of cells.

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References

  1. J. Mo and Y Lee, CFD Investigation on the aerodynamic characteristics of a small-sized wind turbine of NREL PHASE VI operating with a stall-regulated method, Journal of Mechanical Science and Technology, 26 (1) (2012) 81–92.

    Article  Google Scholar 

  2. A. Pape and J. Lecanu, 3D Navier-Stokes computations of a stall-regulated wind turbine, Wind Energy, 7 (4) (2004) 309–324.

    Article  Google Scholar 

  3. J. Johansen, N. Sorensen, J. Michelsen and S. Schreck, Detached-eddy simulation of flow around the NREL phase VI blade, ASME 2002 Wind Energy Symposium(2002) 106–114.

    Chapter  Google Scholar 

  4. P. Spalart, Detached-eddy simulation, Annual Review of Fluid Mechanics, 41 (2009) 181–202.

    Article  MATH  Google Scholar 

  5. F. Menter and M. Kuntz, Adaptation of eddy-viscosity turbulence models to unsteady separated flow behind vehicles, The aerodynamics of heavy vehicles: trucks, buses, and trains, Springer Berlin Heidelberg(2004) 339–352.

    Book  Google Scholar 

  6. F. Menter, Two-equation eddy-viscosity turbulence models for engineering applications, AIAA Journal, 32 (8) (1994) 1598–1605.

    Article  Google Scholar 

  7. P. Spalart, S. Deck, M. Shur, K. Squires, M. Strelets and A. Travin, A new version of detached-eddy simulation, resistant to ambiguous grid densities, Theoretical and Computational Fluid Dynamics, 20 (3) (2006) 181–195.

    Article  MATH  Google Scholar 

  8. K. Boorsma and J. G. Schepers, New MEXICO experiment, Technical Report, ECN Wind Energy ECN-E-14-048(2014).

    Google Scholar 

  9. M. Shur, P. Spalart, M. Strelets, A. Travin, R. Chandel and S. Bala, A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities, International Journal of Heat and Fluid Flow, 29 (2008) 1638–1649.

    Article  Google Scholar 

  10. P. Spalart and S. Allmaras, A one-equation turbulence model for aerodynamic flows, La Rech. Aerospatiale, 1 (1) (1994) 5–21.

    Google Scholar 

  11. N. Kroll, C. Rossow, K. Becker and F. Thiele, The Megaflow project, Aerospace Science and Technology, 4 (4) (2000) 223–237.

    Article  MATH  Google Scholar 

  12. T. Lutz, K. Meister and E. Krämer, Near wake studies of the MEXICO rotor, European Wind Energy Association, Brüssel(2011).

    Google Scholar 

  13. G. Bangga, Y. Kim, T. Lutz, P. Weihing and E. Krämer, Investigations of the inflow turbulence effect on rotational augmentation by means of CFD, Journal of Physics: Conference Series, 753 (2) (2016) 022026.

    Google Scholar 

  14. P. Weihing, J. Letzgus, G. Bangga, T. Lutz and E. Krämer, Hybrid RANS/LES capabilities of the flow solver FLOWer -application to flow around wind turbines, The 6th Symposium on Hybrid RANS-LES Methods, Strassbourg, France(2016).

    Google Scholar 

  15. X. Liu, S. Osher and T. Chan, Weighted essentially nonoscillatory schemes, J. Comput. Phys., 115 (1994) 200–212.

    Article  MathSciNet  MATH  Google Scholar 

  16. U. Kowarsch, C. Oehrle, M. Keßler and E. Krämer, High order CFD-simulation of the rotor fuselage interaction, 39th European Rotorcraft Forum, Moscow(2013).

    Google Scholar 

  17. A. Jameson, Time dependent calculations using multigrid, with applications to unsteady flows past airfoils and wings, AIAA paper 1991 (1991) 1596.

    Google Scholar 

  18. B. Kim, W. Kim, S. Bae, J. Park and M. Kim, Aerodynamic design and performance analysis of multi-MW class wind turbine blade, Journal of Mechanical Science and Technology, 25 (8) (2011)1995–2002.

    Article  Google Scholar 

  19. G. Bangga, G. Hutomo, R. Wiranegara and H. Sasongko, Numerical study on a single bladed vertical axis wind turbine under dynamic stall, Journal of Mechanical Science and Technology, 31 (1) (2017) 261–267.

    Article  Google Scholar 

  20. G. Bangga and H. Sasongko, Dynamic stall prediction of a pitching airfoil using an adjusted two-equation URANS turbulence model, Journal of Applied Fluid Mechanics, 10 (1) (2017) 1–10.

    Article  Google Scholar 

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Correspondence to Galih Bangga.

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Recommended by Associate Editor Donghyun You

Galih Bangga is currently working as a Researcher at the Institute of Aerodynamics and Gas Dynamics, University of Stuttgart, Germany. His research interests include wind turbine aerodynamics, flow separation and airfoil design.

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Bangga, G., Weihing, P., Lutz, T. et al. Effect of computational grid on accurate prediction of a wind turbine rotor using delayed detached-eddy simulations. J Mech Sci Technol 31, 2359–2364 (2017). https://doi.org/10.1007/s12206-017-0432-6

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  • DOI: https://doi.org/10.1007/s12206-017-0432-6

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