DOI QR코드

DOI QR Code

A novel high performance diffuser design for small DAWT's by using a blunt trailing edge airfoil

  • Received : 2019.10.22
  • Accepted : 2021.01.22
  • Published : 2021.01.25

Abstract

This paper proposes a novel diffuser design for Diffuser Augmented Wind Turbines (DAWT) based on the blunt trailing edge airfoil AF300. Computational Fluid Dynamics (CFD) simulations are carried out to measure the performance of the AF300 diffuser against diffusers made with the shape of other high performance low wind speed airfoils. The results show that the proposed diffuser produces a greater air mass flow increase through the plane of the turbine than the other diffusers and it can be used to increase the performance of a horizontal axis wind turbine.

Keywords

Acknowledgement

The authors acknowledge the support of the Mexican Council for Science and Technology (CONACYT). S. Piedra would like to thank the Catedras program from CONACYT Mexico.

References

  1. Aranake, A., Lakshminarayan, V. and Duraisamy, K. (2013), "Computational Analysis of Shrouded Wind Turbine Configurations", The 51st AIAA Aerosp. Sci. Meet. Incl. New Horizons Forum Aerosp. Expo., 1-17. https://doi.org/10.2514/6.2013-1211.
  2. Aranake, A.C. and Lakshminarayan, V. K. (2014), "Assessment of low-order theories for analysis and design of shrouded wind turbines using CFD", J. Phys.: Conference Series, 524. https://doi.org/10.1088/1742-6596/524/1/012077.
  3. Aranake, A., Lakshminarayan, V. and Duraisamy, K. (2015), "Computational analysis of shrouded wind turbine configurations using a 3-dimensional RANS solver", Renew. Energy, 75, 818-832. https://doi.org/10.1016/j.renene.2014.10.049.
  4. Chaker, R., Kardous, M., Aloui, F. and Nasrallah, S.B. (2013), "Open angle effects on the aerodynamic performances of a flanged Diffuser Augmented Wind Turbine (DAWT)", Conference Internationale des Energies Renouvelables (CIER'13) Sousse, Tunisie.
  5. D'Angelo, M.R. (1989), The effects of trailing edge bluntness on airfoil performance as calculated approximately by a viscidinviscid vortex panel method, Master Dissertation, Massachussetts Institute of technology.
  6. El-Zahaby Aly, M., Kabeel, A.E., Elsayed, S.S. and Obiaa, M.F. (2017), "CFD analysis of flow fields for shrouded wind turbine's diffuser model with different flange angles", Alexandria Eng. J., 56, 171-179 https://doi.org/10.1016/j.aej.2016.08.036.
  7. Hartwanger, D. and Horvat, A. (2008), "3D Modelling of a Wind Turbine Using CFD", In Proceedings of NAFEMS Conference; NAFEMS: Cheltenham, U.K.
  8. Jafari, S.A. and Kosasih, B. (2014), "Flow analysis of shrouded small wind turbine with a simple frustum diffuser with computational fluid dynamics simulations", Jnl. Wind Eng. Ind. Aerod., 125, 102-110. https://doi.org/10.1016/j.jweia.2013.12.001.
  9. Javaherchi-Mozafari, A.T. (2010), Numerical Modeling of Tidal Turbines: Methodology Development and Potential Physical Environmental Effects, Master Dissertation, University of Washington.
  10. Liu, Y. and Yoshida, S., (2015), "An extension of the generalized actuator disc theory for aerodynamic analysis of the diffuser-augmented wind turbines", Energy 93 1852-1859 https://doi.org/10.1016/j.energy.2015.09.114.
  11. Menter, F.R. (2009), "Review of the shear-stress transport turbulence model experience from an industrial perspective", Int J. Comput. Fluid D., 23, 305-316 https://doi.org/10.1080/10618560902773387.
  12. Ohya, Y. and Karasudani, T. (2010), "A shrouded wind turbine generating high output power with wind-lens technology", Energies, 3 (4) 634-649. https://doi.org/10.3390/en3040634.
  13. Salgado, V., Troya, C., Moreno, G. and Molina, J. (2016), "Airfoil selection methodology for small wind turbines", Int. J. Renew. Energy Res., 6(4), 1410. https://www.ijrer.org/ijrer/index.php/ijrer/article/view/4642/pdf.
  14. Selig, M.S. (2017), UIUC Airfoil Data Site", UIUC Applied Aerodynamics Group. http://m-selig.ae.illinois.edu/index.html.
  15. Singh, R.K., Ahmed, M.R., Zullah, M.A. and Lee, Y.H. (2012), "Design of a low reynolds number airfoil for small horizontal axis wind turbines", Renew. Energy, 42, 66-76. https://doi/org/10.3390/en3040634.
  16. Sorribes-Palmer, F., Sanz-Andres, A., Ayuso, L., Sant, R. and Franchini, S. (2017), "Mixed CFD-1D wind turbine diffuser design optimization", Renew. Energy 105 386-399 https://doi.org/10.1016/j.renene.2016.12.065.
  17. Spalart, P.R. and Venkatakrishnan, V. (2016), "On the role and challenges of CFD in the aerospace industry", Aeronaut. J., 120, 209-232, https://doi.org/10.1017/aer.2015.10.
  18. van Bussel, G.J.W. (2007), "The science of making more torque from wind: Diffuser experiments and theory revisited", J. Phys. Conf. Ser., 75(1-12), 12010. https://doi:10.1088/1742-6596/75/1/012010.
  19. Mayda, E.A., Van Dam, C.P., Chao, D.D. and Berg, D.E. (2008), Computational design and analysis of flatback airfoil wind tunnel experiment (No. SAND2008-1782). Sandia National Laboratories.
  20. Vaz J.R.P. and Wood, D.H. (2018), "Effect of the diffuser efficiency on wind turbine performance", Renew. Energy, 126 969-977. https://doi.org/10.1016/j.renene.2018.04.013.