Comparison of wind speed distributions: a case study for Aegean coast of Turkey
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The determination of wind speed characteristics is extremely important forestimating the wind power output. In this context, Weibull distribution is oneof the most commonly used statistical distributions for modeling wind speed.However, despite its widespread usage, it may not be accurate for modeling allwind regimes. For this reason, alternative distributions are utilized for model-ing wind speed data. In this study, we use Rayleigh, Inverse Weibull (IW), BurrType III, Extreme Value (EV), Gamma, Inverse Gamma (IG), Marshall–Olkinextended Lindley (MOEL), generalized Extreme Value (GEV) and exponentiatedWeibull (EW) distributions as alternatives to Weibull. Our aim is to determinethe distribution which provides the best fit for different wind regimes encoun-tered in nature. In the application part, data sets are taken from stationslocated on Turkey’s Aegean coast and the fitting performances of the above-mentioned distributions are compared. In order to determine the appropriatewind speed distributions. Different model selection criteria are utilized.
Açıklama
Anahtar Kelimeler
Wind energy, Maximum likelihood, Wind speed distributions, Model selection criteria, Exponentiated Weibul
Kaynak
Energy Sources Part a Recovery Utilization and Environmental Effects
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Fatma Gül Akgül & Birdal Şenoğlu (2019). Comparison of wind speeddistributions: a case study for Aegean coast of Turkey, Energy Sources, Part A: Recovery,Utilization, and Environmental Effects, DOI: 10.1080/15567036.2019.1663309
