Open Access Open Access  Restricted Access Subscription or Fee Access

Mixture Gamma Distribution for Estimation of Wind Power Potential

M. Erisoglu, T. Servi, U. Erisoglu, N. Calis

Abstract


In scientific literature, Weibull distribution and two component mixture Weibull distribution (WW) have been already applied in estimation of wind power potential. In this paper, two component mixture gamma distribution (GG) is proposed for estimation of wind power potential in heterogeneous wind data sets for the first time. Wind energy density for three weather stations located in western region of Turkey was investigated by using the Weibull, WW and GG probability density function in application section of study. The results obtained with these models were compared with the measured data. The GG distribution proposed for heterogeneous wind data sets was shown to be very successful in estimation of wind power potential according to the compare results.

Keywords


Mixture Gamma Distribution, Mixture Weibull Distribution, Wind energy, Estimation.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.