Technical Notes
Jan 8, 2014

Alternative Approach to Wind Turbine Performance Index Assessment

Publication: Journal of Energy Engineering
Volume 140, Issue 4

Abstract

This paper presents a method for estimating the fixed and variable speed turbine performance index. The approach is based on Weibull wind probability distribution function and manufacturer-provided power curve. It is further shown that the existing turbine performance index formulation is only valid in case of variable speed turbines. A general approach to calculating the turbine performance index is derived, suitable for both fixed and variable speed wind turbines. Instead of choosing a particular model for approximating the power curve, commonly used polynomial fitting is employed. It is suggested to determine the best site for a given off-the-shelf turbine rather than finding the best theoretical turbine for a given site.

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References

Akdag, S., and Dinler, A. (2009). “A new method to estimate Weibull parameters for wind energy applications.” Energ. Conv. Manag., 50(7), 1761–1766.
Ditkovich, Y., Kuperman, A., Yahalom, A., and Byalsky, M. (2012). “A generalized approach to estimating the capacity factor of fixed speed wind turbines.” IEEE Trans. Sust. Energ., 3, 607–608.
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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 140Issue 4December 2014

History

Received: Jun 23, 2013
Accepted: Nov 4, 2013
Published online: Jan 8, 2014
Discussion open until: Jun 8, 2014
Published in print: Dec 1, 2014

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Authors

Affiliations

Y. Ditkovich [email protected]
Dept. of Electrical Engineering and Electronics, Ariel Univ., Ariel 40700, Israel. E-mail: [email protected]
A. Kuperman [email protected]
Dept. of Electrical Engineering and Electronics, Ariel Univ., Ariel 40700, Israel (corresponding author). E-mail: [email protected]
Professor, Dept. of Electrical Engineering and Electronics, Ariel Univ., Ariel 40700, Israel. E-mail: [email protected]
M. Byalsky
Dept. of Economics and Business Management, Ariel Univ., Ariel 40700, Israel; and Dept. of Economics, Hebrew Univ. of Jerusalem, Jerusalem 91905, Israel.

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