Effects of optimized airfoil on vertical axis wind turbine aerodynamic performance

Technical Paper
  • 21 Downloads

Abstract

This paper investigates the effects of optimized airfoil on VAWT (vertical axis wind turbine) aerodynamic performance. The thickness and camber of the airfoil are selected as the constraints, the value of the maximum tangential force coefficient is chosen as the objective function, optimizing NACA0015 airfoil to enhance the wind energy utilization efficiency of the VAWT, a 3D CFD simulation is used to get the flow characteristics of the VAWT under variable tip speed ratio (TSR) conditions. To ensure the accuracy of the numerical simulation, the power coefficient calculated by CFD is validated against previous experimental result. The optimized airfoil is shown to improve the aerodynamic performance of the wind turbine. Through investigating the effects of optimized airfoil on the rotor flow field, this paper proposes measures to improve the VAWT aerodynamic performance under variable TSRs: measures should be made to avoid or delay the flow separation of blades and the stall vortex shedding and reduce the stall vortex scale at low TSR, while at high TSR measures should be made to shorten the wake length of the blades and reduce its diffusion range.

Keywords

VAWT Airfoil Optimization Variable TSR Stall vortex Wake 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.

References

  1. 1.
    Sheldahl RE, Klimas PC (1981) Aerodynamic characteristics of seven symmetrical airfoil sections through 180-degree angle of attack for use in aerodynamic analysis of vertical axis wind turbines. SAND80-2114; Sandia National Laboratories: Albuquerque, NM, USA, 1981Google Scholar
  2. 2.
    Claessens MC (2006) The design and testing of airfoils for application in small vertical axis wind turbines, Master’s Thesis, Faculty of Aerospace Engineering, Delft University of Technology, 2006Google Scholar
  3. 3.
    Shu C, Cai X, Pan P (2015) Research on aerodynamic and power characteristic for improved airfoils of vertical axis wind turbine. Water Resour Power 33(1):162–165Google Scholar
  4. 4.
    Liu X, Chen Y, Ye ZQ (2006) Analysis on the influence of aerodynamic performance enlarging the airfoil’s trailing edge thickness. Acta Energ Sol Sin 27(5):211–216Google Scholar
  5. 5.
    Farhad I, Smail M, Vijayaraghavan K (2015) The effects of aerofoil profile modification on a vertical axis wind turbine performance. Energy 80:20–31CrossRefGoogle Scholar
  6. 6.
    Simão FC, Geurts B (2013) Aerofoil optimization for the vertical axis wind turbine. Wind Energy 18:1371–1385Google Scholar
  7. 7.
    Li JY, Li R, Gao Y, Huang J (2010) Aerodynamic optimization of wind turbine airfoils using response surface techniques. Proc Inst Mech Eng 224(6):827–838CrossRefGoogle Scholar
  8. 8.
    Sun H (2011) Wind turbine airfoil design using response surface method. J Mech Sci Technol 25(5):1335–1340CrossRefGoogle Scholar
  9. 9.
    Li XX, Yang K, Bai JY et al (2016) A new optimization approach to improve the overall performance of thick wind turbine airfoils. Energy 116:202–213CrossRefGoogle Scholar
  10. 10.
    Dhert T (2017) Aerodynamic shape optimization of wind turbine blades using a Reynolds-averaged Navier–Stokes model and an adjoint method. Wind Energy 20(5):909–926CrossRefGoogle Scholar
  11. 11.
    Bu YP, Song WP, Han ZH (2013) Aerodynamic optimization design of airfoil based on CST parameterization method. J Northwest Polytech Univ 31(5):829–835Google Scholar
  12. 12.
    Deb K, Pratap A, Agarwal S (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197CrossRefGoogle Scholar
  13. 13.
    Wei XY, Zeng GH, Wang WJ (2016) Multi-objective optimization method based on ABAQUS and modefrontier. Light Ind Mach 34(1):59–63Google Scholar
  14. 14.
    Lanzafame R, Mauro S, Messina M (2013) Wind turbine CFD modeling using a correlation-based transitional model. Renew Energy 52:31–39CrossRefGoogle Scholar
  15. 15.
    Musgrove P (2010) Wind power[M]. Cambridge University Press, CambridgeGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  1. 1.Aeronautics SchoolNorthwestern Polytechnical UniversityXi’anChina

Personalised recommendations