Advertisement

Towards Numerical Simulation of Offshore Wind Turbines Using Anisotropic Mesh Adaptation

  • L. DouteauEmail author
  • L. Silva
  • H. Digonnet
  • T. Coupez
  • D. Le Touzé
  • J.-C. Gilloteaux
Chapter
Part of the Springer Tracts in Mechanical Engineering book series (STME)

Abstract

In the context of reducing the cost of floating wind energy, predicting precisely the loads applied on structures and their response is essential. As the simulation of floating wind turbines requires the representation of both complex geometries and phenomena, several techniques have been developed. The wake generated by the aerodynamic loads experienced and the tower can be modeled using methodologies inherited from onshore wind simulation, and coupled with a hydrodynamic codes that were most of the time developed for the oil and gas industry. This work proposes a methodology for the simulation of a single or several turbines with an exact representation of the geometries involved, targeting an accurate evaluation of loads. The software library used is ICI-tech, developed at the High Performance Computing Institute (ICI) of Centrale Nantes. A single computational mesh is used, where every phase is defined through level-set functions. The Navier–Stokes (NS) equations are solved in the Variational MultiScale (VMS) formalism using finite element discretization and a monolithic approach. A coupling with an automatic and anisotropic adaptation procedure guarantees the good representation of the geometries immersed. The adaptation allows the simulation of phenomena with very different orders of magnitude, e.g. aerodynamics around blades and waves propagation. The reduction of the number of points in the mesh and the massive parallelization of the code are also necessary for wind turbine simulation.

Keywords

Floating wind turbines High performance computing Multiphase Navier–Stokes Anisotropic mesh adaptation 

Notes

Acknowledgements

This work is funded by the WEAMEC (West Atlantic Marine Energy Community), and was performed by using HPC resources of the Centrale Nantes Supercomputing Centre on the cluster Liger and supported by a grant from the Institut de Calcul Intensif (ICI) under the project ID E1611150/2016.

References

  1. 1.
    Hansen MOL et al (2006) State of the art in wind turbine aerodynamics and aeroelasticity. Prog Aerosp Sci 42:285–330CrossRefGoogle Scholar
  2. 2.
    Sebastian T, Lackner M (2011) Offshore floating wind turbines - an aerodynamic perspective. In: 49th AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition, vol 720Google Scholar
  3. 3.
    Leble V, Barakos G (2016) Demonstration of a coupled floating offshore wind turbine analysis with high-fidelity methods. J Fluids Struct 62:272–293CrossRefGoogle Scholar
  4. 4.
    Quallen S, Xing T (2016) CFD simulation of a floating offshore wind turbine system using a variable-speed generator-torque controller. Renew Energy 97:230–242CrossRefGoogle Scholar
  5. 5.
    Yan J et al (2016) Computational free-surface fluid-structure interaction with application to floating offshore wind turbines. Comput Fluids 141:155–174MathSciNetCrossRefGoogle Scholar
  6. 6.
    Tran T-T, Kim D-H (2015) The platform pitching motion of floating offshore wind turbine: a preliminary unsteady aerodynamic analysis. JWEIA 142:65–81Google Scholar
  7. 7.
    Wu CHK, Nguyen VT (2017) Aerodynamic simulations of offshore floating wind turbine in platform induced pitching motion. Wind Energy 20:835–858CrossRefGoogle Scholar
  8. 8.
    Coupez T et al (2015) Implicit boundary and adaptive anisotropic meshing. In: New challenges in grid generation and adaptivity for scientific computing, pp 1–18zbMATHGoogle Scholar
  9. 9.
    Coupez T, Hachem E (2013) Solution of high-Re. incompressible flow with stabilized finite element and adaptive anisotropic meshing. CMAME 267:65–85Google Scholar
  10. 10.
    Digonnet H et al (2017) Massively parallel anisotropic mesh adaptation. IJHPCAGoogle Scholar
  11. 11.
    Brackbill J et al (1992) A continuum method for modeling surface tension. J Comput Phys 100:335–354MathSciNetCrossRefGoogle Scholar
  12. 12.
    Lacaze, J.-B. et al. Small scale tests of floating wind turbines in the wind and wave flume of Luminy. 14th journées d’hydrodynamique, Val de Reuil, France, 18–20 Nov 2014Google Scholar
  13. 13.
    Rossi E et al (2016) Simulating 2D viscous flow around geometries with vertices through the Diffused Vortex Hydrodynamics method. CMAME 302:147–169MathSciNetGoogle Scholar
  14. 14.
    Bak C et al (2000) Wind tunnel tests of the NACA 63-415 and a modified NACA 63-415 airfoil. Forskningscenter Risoe, Risoe-R, Denmark, No. 1193Google Scholar
  15. 15.
    Ville L et al (2011) Convected level set method for the numerical simulation of fluid buckling. IJNMF 66:324–344zbMATHGoogle Scholar
  16. 16.
    Ducrozet G et al (2012) A modified high-order spectral method for wavemaker modeling in a numerical wave tank. EJMBF 34:19–34CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • L. Douteau
    • 1
    Email author
  • L. Silva
    • 1
  • H. Digonnet
    • 1
  • T. Coupez
    • 1
  • D. Le Touzé
    • 2
  • J.-C. Gilloteaux
    • 2
  1. 1.High Performance Computing Institute, Ecole Centrale de NantesNantesFrance
  2. 2.Research Laboratory in Hydrodynamics, Energetics and Atmospheric Environment, Ecole Centrale de NantesNantesFrance

Personalised recommendations