Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-06T08:13:49.015Z Has data issue: false hasContentIssue false
  • English
  • Français

Power-Curve Corrections for Horizontal-Axis Wind Turbine by an Improved Blade Element Momentum Theory

Published online by Cambridge University Press:  13 September 2016

C.-J. Bai  and
Y.-C. Shiah
C.-J. Bai
Affiliation:
Wind Power Technology CenterChina Steel CorporationKaohsiung, Taiwan
Y.-C. Shiah*
Affiliation:
Department of Aeronautics and AstronauticsNational Cheng Kung UniversityTainan, Taiwan
*
*Corresponding author ([email protected])
Get access

Abstract

This paper proposes a correction method to improve the accuracy of traditional blade element momentum theory (BEMT) in predicting the mechanical power and power coefficient of horizontal-axis wind turbine (HAWT) blade. In this paper, the traditional BEMT incorporated with the Viterna-Corrigan (VC) stall/stall-delay model is proposed to improve the accuracy of power-curve prediction, by which its applicability is thus enhanced. For verification of the proposed method, three distinct types of geometries of HAWT blades subjected to different operations are studied with outcomes compared with experimental data. Two different wind turbines developed by National Renewable Energy Laboratory (NREL) were tested at constant rotational speeds in a full-scale wind tunnel to acquire performance data. As a comparative platform, another wind turbine designed by BEMT for this study was also experimented in identical environment but at variable rotational speeds. As expected, the results clearly indicate that the power-curve prediction is effectively improved by the proposed method especially in the stall region when compared with experimental data. Indeed, this study shows that the improved BEMT is an ideal means to accurately predict the power-curve used for designing an optimal HAWT rotor.

Keywords

Blade element momentum theoryHorizontal-axis wind turbinePower-curve prediction
Type
Research Article
Information
Journal of Mechanics , Volume 33 , Issue 3 , June 2017 , pp. 341 - 349
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Karbasian, H.R., Moshizi, S.A. and Maghrebi, M.J., “Dynamic Stall Analysis of S809 Pitching Airfoil in Unsteady Free Stream Velocity,” Journal of Mechanics, 72, pp. 1–9 (2015).Google Scholar
2. Chen, T.Y., Hung, C.W. and Liao, Y.T., “Experimental Study on Aerodynamics of Micro-Wind Turbines with Large-Tip non-Twisted Blades,” Journal of Mechanics, 29, pp. N15–N20 (2013).Google Scholar
3. Lanzafame, R. and Messina, M., “BEM theory: How to take into account the radial flow inside of a 1-D numerical code,” Renewable Energy, 39, pp. 440–446 (2012).Google Scholar
4. Glauert, H., “Airplane propellers,” Aerodynamic Theory, Dover Publications, New York (1963).Google Scholar
5. Gross, A., Fasel, H.F., Friederich, T. and Kloker, M.J., “Numerical investigation of rotational augmentation for s822 wind turbine airfoil,” Wind Energy, 15, pp. 983–1007 (2012).Google Scholar
6. Yang, H., Shen, W., Xu, H., Hong, Z. and Liu, C., “Prediction of the wind turbine performance by using BEM with airfoil data extracted from CFD,” Renewable Energy, 70, pp. 107–115 (2014).Google Scholar
7. Zhu, W.J., Shen, W.Z., and Sørensen, J.N., “Integrated airfoil and blade design method for large wind turbines,” Renewable Energy, 70, pp. 172–183 (2014).Google Scholar
8. Lanzafame, R. and Messina, M., “Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory,” Renewable Energy, 32, pp. 2291–2305 (2007).Google Scholar
9. Lanzafame, R. and Messina, M., “Horizontal axis wind turbine working at maximum power coefficient continuously,” Renewable Energy, 35, pp. 301–306 (2010).Google Scholar
10. Viterna, L.A. and Corrigan, R.D., “Fixed Pitch Rotor Performance of Large Horizontal Axis Wind Turbines,” Proceedings of the DOE/NASA Workshop on Large Horizontal Axis Wind Turbine, Cleveland, OH, USA, pp. 69–85 (1981).Google Scholar
11. Martínez, J., Bernabini, L., Probst, O. and Rodríguez, C., “An improved BEM model for the power curve prediction of stall-regulated wind turbines,” Wind Energy, 8, pp. 385–402 (2005).Google Scholar
12. Lee, H.M. and Wu, Y., “An experimental study of stall delay on the blade of a horizontal-axis wind turbine using tomographic particle image velocimetry,” Journal of Wind Engineering and Industrial Aerodynamics, 123, pp. 56–68 (2013).Google Scholar
13. Tangler, J.L. “The nebulous art of using wind tunnel aerofoil data for predicting rotor performance,” Wind Energy, 5, pp. 245–257 (2002).Google Scholar
14. Yu, G., Shen, X., Zhu, X. and Du, Z., “An insight into the separate flow and stall delay for HAWT,” Renewable Energy, 36, pp. 69–76 (2011).CrossRefGoogle Scholar
15. Dumitrescu, H. and Cardos, V., “Wind Turbine Aerodynamic Performance by Lifting Line Method,” International Journal of Rotating Machinery, 4, pp. 141–149 (1998).Google Scholar
16. Ronsten, G., “Static pressure measurements on a rotating and a non-rotating 2.375 m wind turbine blade. Comparison with 2d calculations,” Journal of Wind Engineering and Industrial Aerodynamics, 39, pp. 105–118 (1992).Google Scholar
17. Dumitrescu, H. and Cardos, V., “Rotational effects on the boundary-layer flow in wind turbines,” AIAA Journal, 42, pp. 408–411 (2004).Google Scholar
18. Schreck, S.J. and Robinson, M.C.,“Horizontal axis wind turbine blade aerodynamics in experiments and modeling,” IEEE Transactions on Energy Conversion, 22, pp. 61–80 (2007).CrossRefGoogle Scholar
19. Schreck, S.J. and Sørensen, N.N., “Aerodynamic structures and processes in rotationally augmented flow fields,” Wind Energy, 10, pp. 159–178 (2007).Google Scholar
20. Vaz, J. R. P., Pinho, J.T. and Mesquita, A.L.A., “An extension of BEM method applied to horizontal-axis wind turbine design,” Renewable Energy, 36, pp. 1734–1740 (2011).Google Scholar
21. Selig, M. S., McGranahan, B. D. and Broughton, B. A., Summary of Low-Speed Airfoil Data, SoarTech Publications, Virginia, USA (1995).Google Scholar
22. TangIer, J.L., National Renewable Energy Laboratory, Golden, Colorado (1997).Google Scholar
23. Manwell, J. F., McGowan, J. G. and Rogers, A. L., Wind Energy Explained: Theory, Design and Application, John Wiley & Sons Ltb, England (2002).CrossRefGoogle Scholar
24. Schepers, J.G., et al., Final Report of IEA Annex XVIII: Enhanced Field Rotor Aerodynamics Database, Technical report ECN-C-02-016, ECN, the Netherlands (2002).Google Scholar