Back
 JPEE  Vol.2 No.6 , June 2014
The Design of Stall-Regulated Wind Turbine Blade for a Maximum Annual Energy Output and Minimum Cost of Energy Based on a Specific Wind Statistic
Abstract: The design of a stall-regulated wind turbine to achieve a maximum annual energy output is still a formidable task for engineers. The design could be carried out using an average wind speed together with a standard statistical distribution such as a Weibull with k = 2.0. In this study a more elaborated design will be attempted by also considering the statistical bias as a design criterion. The wind data used in this study were collected from three areas of the Lamtakong weather station in Nakhonratchasima Provice, the Khaokoh weather station in Phetchaboon and the Sirindhorn dam weather station in Ubonratchathani, Thailand. The objective is to design a best aerodynamic configurations for the blade (chord, twist and pitch) using the same airfoil as that of NREL Phase VI wind turbine. Such design is carried out at a design wind speed point. Wind turbine blades were optimized for both maximum annual energy production and minimum cost of energy using a method that take into account aerodynamic and structural considerations. The work will be carried out by the program “SuWiTStat” which was developed by the authors and based on BEM Theory (Blade Element Momentum). Another side issue is the credibility of the Weibull statistic in representing the real wind measurement. This study uses a regression analysis to determine this issue.
Cite this paper: Sridech, W. and Chitsomboon, T. (2014) The Design of Stall-Regulated Wind Turbine Blade for a Maximum Annual Energy Output and Minimum Cost of Energy Based on a Specific Wind Statistic. Journal of Power and Energy Engineering, 2, 10-21. doi: 10.4236/jpee.2014.26002.
References

[1]   Spera, D.A. (1994) Wind Turbine Technology: Fundamental Concepts of Wind Turbine Engineering. ASME Press, New York.

[2]   Cartar, J., Ramirez, P. and Velazquez, S. (2008) Influence of the Level of Fit of a Density Probability Function to Wind-Speed Data on the WECS Mean Power Output Estimation. Energy Conversion and Management, 49, 2647-2655. http://dx.doi.org/10.1016/j.enconman.2008.04.012

[3]   Giguère, P., Selig, M.S. and Tangler, J.L. (1999) Blade Design Trade-Offs Using Low-Lift Airfoils for Stall-Regulated HAWTs. ASME/AIAA Wind Energy Symposium, Nevada, 11-14 January 1999.

[4]   Sridech, W. and Chitsomboon, T. (2008) Optimal Stall-Regulated Wind Turbines in Unique Local Wind Statistic. The 22nd Conference of Mechanical Engineering Network of Thailand, Bangkok.

[5]   Benini, E. and Toffolo, A. (2002) Optimal Design of Horizontal-Axis Wind Turbines Using Blade-Element Theory and Evolutionary Computation. Journal of Solar Energy Engineering, 124, 357. http://dx.doi.org/10.1115/1.1510868

[6]   Humtae, C. and Chitsomboon, T. (2012) The Effect of Wind Speed and Wind Statistics Skewed on the Commercial Wind Turbine in Thailand. The 26th Conference of Mechanical Engineering Network of Thailand, Chengrai.

[7]   International Electrotechnical Commission (1998) IEC 61400-1, Ed. 2: Wind Turbine Generator Systems-Part 1: Safety Requirements. FDIS 1998-12-15.

 
 
Top