RÜZGAR HIZI VERİLERİNİN FARKLI DAĞILIMLARA GÖRE İSTATİSTİKSEL ANALİZİ: BİTLİS, TÜRKİYE

Öz

Rüzgar hızının doğru bir şekilde modellenmesi, belirli bir bölgenin rüzgar enerjisi potansiyelinin tahmin edilmesi açısından önemlidir. İki parametreli Weibull dağılımı enerji literatüründe en yaygın kullanılan ve kabul edilen dağılımdır. Ancak doğada karşılaşılan tüm rüzgar hızı verilerini modellemez. Bu nedenle bu çalışmada rüzgâr enerjisinin modellenmesinde Gamma, log-normal, Genelleştirilmiş Rayleigh gibi farklı dağılımlar kullanılmıştır. Bu dağılımların bilinmeyen parametrelerinin tahmin edicileri, maksimum olabilirlik tahmin edicileri kullanılarak bulunur.

Anahtar Kelimeler

• Rüzgar hızı verileri, Weibull dağılımı, Gamma dağılımı, lognormal dağılımı, genelleştrilmiş Rayleigh dağılımı, en çok olabilirlik tahmini

Destekleyen Kurum

Van Yüzüncü Yıl Üniversitesi

Proje Numarası

FBA-2018-6855

Etik Beyan

Çalışmamız için Etik Kurul Belgesine İhtiyaç Yoktur

Teşekkür

Van yüzüncü Yıl ünibersitesi bilimsel araştırma ve proje kordinatörlüğüne "FBA-2018-6855" numaralı projemizi desteklediği için teşekkür ederiz.

Statistical Analysis of Wind Speed Data with Different Distributions: Bitlis, Türkiye

Öz

Accurately modeling wind speed is important in estimating the wind energy potential of a specified region. Two- parameter Weibull distribution is the most widely used and accepted distribution in the energy literature. However, it does not model the all wind speed data encountered in nature. Therefore, in this study, different distributions are used for modeling wind energy, such as Gamma, lognormal, Generalized Rayleigh. The estimators of the unknown parameters of these distributions are found by using maximum likelihood estimators.

Anahtar Kelimeler

• Wind speed data
• Weibull distribution
• lognormal distribution
• Gamma distribution
• generalized Rayleigh
• distribution
• maximum likelihood estimation

Proje Numarası

FBA-2018-6855

Kaynakça

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