AN OVERVIEW OF THE PROBABILITY DISTRIBUTION FUNCTIONS FOR FORECASTING OF WIND ENERGY POTENTIAL AND KARABÜK WIND DATA APPLICATION
Yıl 2013,
Cilt: 14 Sayı: 3, 199 - 212, 04.05.2015
Bayram Köse
,
Ahmet Küçük
,
Bülent Ordu
,
Yusuf Çay
Öz
The use of wind energy over Turkey is very important in the sense that it reduces the dependence on conventional energy sources and import dependence . Blowing time, speed, and direction of wind can not be determined. Wind power plants (WPP) in the planning of electricit y generation depends on the meteorological data of wind at established in the region and time-bound. Studies on detecting the change in wind energy, and studies on production planning with real and highly reliable models are still going on. Modeling of the wind data with probability distribution functions is one of the studies in this area. Places to be invested with the technical potential of wind data shall be determined by modeling and production planning is performed. In this study, probability distribution functions, which are widely used in the field of wind power, are briefly summarized. Which probability distribution function is available in Karabük wind data has also been examined
Kaynakça
- Özpınar, M, A., “Yenilenebilir Enerji Santrallerinde Yapay Sinir Ağları Yöntemiyle Enerji Üretiminin Modellenmesi ve Planlanması” Yıldız Teknik Üniversitesi, Doktora Tezi, 2007, İstanbul.
- Carta, J. A., Ramı´rez, P., Vela´zquez, S. (2009). A Review of Wind Speed Probability Distributions used in Wind Energy Analysis Case Studies in The Canary Islands. Renewable and Sustainable Energy Reviews 13, 933–955
- Chellali, F., Khellaf, A., Belouchrani, A., Khanniche, R. (2012). A Comparison Between Wind Speed Distributions Derived From The Maximum Entropy Principle and Weibull Distribution. Case of Study; Six Regions of Algeria. Renewable and Sustainable Energy Reviews 16, 379– 385,
RÜZGAR ENERJİSİ POTANSİYELİNİN TAHMİNLENMESİNDE KULLANILAN OLASILIK DAĞILIM FONKSİYONLARINA GENEL BİR BAKIŞ VE KARABÜK RÜZGAR VERİLERİNE UYGULAMASI
Yıl 2013,
Cilt: 14 Sayı: 3, 199 - 212, 04.05.2015
Bayram Köse
,
Ahmet Küçük
,
Bülent Ordu
,
Yusuf Çay
Kaynakça
- Özpınar, M, A., “Yenilenebilir Enerji Santrallerinde Yapay Sinir Ağları Yöntemiyle Enerji Üretiminin Modellenmesi ve Planlanması” Yıldız Teknik Üniversitesi, Doktora Tezi, 2007, İstanbul.
- Carta, J. A., Ramı´rez, P., Vela´zquez, S. (2009). A Review of Wind Speed Probability Distributions used in Wind Energy Analysis Case Studies in The Canary Islands. Renewable and Sustainable Energy Reviews 13, 933–955
- Chellali, F., Khellaf, A., Belouchrani, A., Khanniche, R. (2012). A Comparison Between Wind Speed Distributions Derived From The Maximum Entropy Principle and Weibull Distribution. Case of Study; Six Regions of Algeria. Renewable and Sustainable Energy Reviews 16, 379– 385,