Optimization of blade motion of vertical axis turbine

Abstract

In this paper, a method is proposed to improve the energy efficiency of the vertical axis turbine. First of all, a single disk multiple stream-tube model is used to calculate individual fitness. Genetic algorithm is adopted to optimize blade pitch motion of vertical axis turbine with the maximum energy efficiency being selected as the optimization objective. Then, a particular data processing method is proposed, fitting the result data into a cosine-like curve. After that, a general formula calculating the blade motion is developed. Finally, CFD simulation is used to validate the blade pitch motion formula. The results show that the turbine’s energy efficiency becomes higher after the optimization of blade pitch motion; compared with the fixed pitch turbine, the efficiency of variable-pitch turbine is significantly improved by the active blade pitch control; the energy efficiency declines gradually with the growth of speed ratio; besides, compactness has lager effect on the blade motion while the number of blades has little effect on it.

This is a preview of subscription content, log in to check access.

References

  1. Chen, H., 2006. On Study of Hydrodynamic Performance of the Spring-Controlling of Vertical-Axis Variable-Pitch Turbine, MSc. Thesis, Harbin Engineering University, Harbin, China. (in Chinese)

    Google Scholar 

  2. Coiro, D. P. and Nicolosi, F., 1998. Numerical and experimental analysis of Kobold turbine, Synergy Symposium on Vertical Axis Wind Turbine, Hangzhou, China.

    Google Scholar 

  3. Dai, Q. Z., 2012. Tidal power and tidal power device, Dongfang Electrical Machine, (2): 51–66. (in Chinese)

    Google Scholar 

  4. Han, R. G., 2008. Study on the Controlled Law of Blade Deflection Angle of Tidal Current Turbine, MSc. Thesis, Harbin Engineering University, Harbin, China. (in Chinese)

    Google Scholar 

  5. Hwang, I. S., Lee, Y. H. and Kim, S. J., 2009. Optimization of cycloidal water turbine and the performance improvement by individual blade control, Appl. Energ., 86(9): 1532–1540.

    Article  Google Scholar 

  6. Jiang, J., 2008. Optimization Study on Tidal Current Turbine Performance Based on Genetic Algorithm, Master Thesis, Harbin Engineering University. (in Chinese)

    Google Scholar 

  7. Kosaku, T., Sano, M. and Nakatani, K., 2002. Optimum pitch control for variable-pitch vertical-axis wind turbines by a single stage model on the momentum theory, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 10–15.

    Google Scholar 

  8. Li, Y. and Calisal, S. M., 2010. Modeling of twin-turbine systems with vertical axis tidal current turbines: Part IPower output, Ocean Eng., 37(7): 627–637.

    Article  Google Scholar 

  9. Li, Y. and Calisal, S. M., 2011. Modeling of twin-turbine systems with vertical axis tidal current turbine: Part IITorque fluctuation, Ocean Eng., 38(4): 550–558.

    Article  Google Scholar 

  10. Luo, Q. J., Liao, K. P. and Zhang, L., 2007. The applications of stream-tube and CFD methods on moment-control variable-pitch tidal-stream turbine, The National Doctoral Forum in Ship and Ocean Engineering Abstracts, Harbin, China. (in Chinese)

    Google Scholar 

  11. Lv, X. and Guo, P. F., 2011. Review of China’s tidal energy development, Transactions of Oceanology and Limnology, (1): 26–30. (in Chinese)

    Google Scholar 

  12. Ma, Q. W., 1984. Adjustable Angle of Straight Blade Turbine Performance Study, MSc. Thesis, Harbin College of Shipbuilding Engineering, Harbin, China, 34-36, 64–70. (in Chinese)

    Google Scholar 

  13. Ma, Y., Zhang, L., Ma, L. and Chen, Z., 2012. The developing status and development trend of vertical axis turbine-type tidal current energy power generation device, Science and Technology Review, 30(12): 5–9. (in Chinese)

    Google Scholar 

  14. Ma, Y., Zhang, L. and You, S. Z., 2013. The test study on the attenuation motion characteristics and irregular waves response of the floating tidal power generation device, Chinese Journal of Theoretical and Applied Mechanics, 45(3): 343–347. (in Chinese)

    Google Scholar 

  15. Paillard, B., Hauville, F. and Astolfi, J. A., 2013. Simulating variable pitch crossflow water turbines: A coupled unsteady ONERA-EDLIN model and streamtube model, Renew. Energ., 52, 209–217.

    Article  Google Scholar 

  16. Schonborn, A. and Chantzidakis, M., 2004. Development of a hydraulic control mechanism for cyclic pitch marine current turbines, Renew. Energ., 32(4): 662–679.

    Article  Google Scholar 

  17. Wang, L. B., 2003. On Study of an Optimal Method for Hydrodynamic Performance of A New Type of Vertical-Axis Turbine, MSc. Thesis, Harbin Engineering University, Harbin, China. (in Chinese)

    Google Scholar 

  18. Wang, L. B., 2006. Theoretical and Experimental Study on Hydrodynamic Performances of Vertical-Axis Tidal Turbine, Ph. D. Thesis, Harbin Engineering University, Harbin, China. (in Chinese)

    Google Scholar 

  19. Yang, L. H., 2001. A survey of new energy source, Power Equipment, (4): 36–39. (in Chinese)

    Google Scholar 

  20. Zhang, L., Luo, Q. J. and Han, R. G., 2011. Optimization of blade deflection angle of vertical-axis tidal current turbine, Journal of Harbin Institute of Technology, 43(S1): 282–285.

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Liang Zhang 张 亮.

Additional information

This paper was financially supported by the National Natural Science Foundation of China (Grant No. 51309069), the Special Funded of Innovational Talents of Science and Technology in Harbin (Grant No. RC2014QN001008), the China Postdoctoral Science Foundation (Grant No. 2014M561334), and the Heilongjiang Postdoctoral Science Foundation (Grant No. LBH-Z14060).

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ma, Y., Zhang, L., Zhang, Z. et al. Optimization of blade motion of vertical axis turbine. China Ocean Eng 30, 297–308 (2016). https://doi.org/10.1007/s13344-015-0074-3

Download citation

Keywords

  • tidal current energy
  • vertical axis turbine
  • optimization of blade motion
  • single disk multiple stream-tube model
  • CFD