10.1007/s40095-021-00388-y

A novel computational approach for design and performance investigation of small wind turbine blade with extended BEM theory

  • Devashish Jha*1,
  • Madhu Singh1,
  • A. N. Thakur1,
  1. Department of Electrical Engineering, National Institute of Technology Jamshedpur, Jamshedpur, IN

Published in Issue 2021-03-30

How to Cite

Jha, D., Singh, M., & Thakur, A. N. (2021). A novel computational approach for design and performance investigation of small wind turbine blade with extended BEM theory . International Journal of Energy and Environmental Engineering, 12(3 (September 2021). https://doi.org/10.1007/s40095-021-00388-y
Crossref
Scopus
Google Scholar
Europe PMC

Abstract

Abstract Blade is an important part in wind turbine system because of its vital role in extraction of energy from wind. In order to extract maximum possible energy, blade should be judiciously designed, for which it is supposed to be divided into several smaller sections (airfoil). SG6043 is selected for this work on account of its few merits over others existing airfoils. The article throws light on basis of blade element momentum theory and adopts its extended form to overcome its limitation in blade design and performance prediction while taking effect of wake into the account. This work investigates the performance of horizontal axis wind turbine (HAWT) in general, with emphasis on small HAWT over wide range of tip-speed ratio considering several effect on wind turbine. Results are validated with other experimental results published in various past literatures.

Keywords

  • Airfoil,
  • BEM theory,
  • Twist,
  • Chord,
  • Tip-speed ratio,
  • Angle of attack,
  • Power-coefficient

References

  1. Burton et al. (2011) (pp. 39-311) Wiley Online Library https://doi.org/10.1002/9781119992714
  2. Mathew and Philip (2011) Springer
  3. Devashish, J., Thakur, A.N.: A comprehensive review on wind energy systems for electric power generation: current situation and improved technologies to realize future development. Int. J. Renew. Energy Res. (IJRER),
  4. 7
  5. , 1786-1805 (2017)
  6. Manwell et al. (2009) (pp. 83-139) Wiley https://doi.org/10.1002/9781119994367
  7. Karthikeyan et al. (2014) Review of aerodynamic developments on small horizontal axis wind turbine blade (pp. 801-822)
  8. Gordon Leishman (2011) (pp. 1-66) SpringerVerlag
  9. Wood (2011) (pp. 1-263) Springer https://doi.org/10.1007/978-1-84996-175-2
  10. Muhsen et al. (2020) Small wind turbine blade design and optimization https://doi.org/10.3390/sym12010018
  11. Tahir et al. (2019) Optimization of small wind turbine blades using improved blade element momentum theory (pp. 299-310) https://doi.org/10.1177/0309524X18791395
  12. Mesquita and Alves (2000) (pp. 417-430) SAGE Publications Sage UK
  13. Mesquita et al. (2011) An extension of BEM method applied to horizontal-axis wind turbine design (pp. 1734-1740) https://doi.org/10.1016/j.renene.2010.11.018
  14. Sriti (2018) Improved blade element momentum theory (BEM) for predicting the aerodynamic performances of horizontal Axis wind turbine blade (HAWT) (pp. 191-202)
  15. Lubitz (2014) Impact of ambient turbulence on performance of a small wind turbine (pp. 69-73) https://doi.org/10.1016/j.renene.2012.08.015
  16. Chaudhary, U., Mondal, P., Tripathy, P., Nayak, S.K., Saha, U.K.: Modeling and optimal design of small HAWT blades for analyzing the starting torque behavior. In: Eighteenth National Power Systems Conference (NPSC), IEEE, 1-6 (2014)
  17. Glauert (1935) (pp. 169-300) Springer Verlag https://doi.org/10.1007/978-3-642-91487-4_3
  18. Ingram G.:Wind turbine blade analysis using the blade element momentum method. Version 1.1, Durham University, Durham, 38, 1-21 (2011)
  19. Devashish, J., Thakur, A.N.: A novel control strategy for standalone wind energy conversion system supplying power to isolated dc load. Majlesi J. Electr. Eng.
  20. 13
  21. , 228-236 (2019)