@article{MAKHILLJEAS202015118891,
    title = {Wind Energy Potential Assessment in Selected Regions in Northern Cyprus
Based on Weibull Distribution Function},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {1},
    pages = {128-140},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.128.140},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.128.140},
    author = {Youssef,Hüseyin,Sama A.M. and},
    keywords = {Northern cyprus,power density,wind data,weibull distribution},
    abstract = {This study investigates the wind characteristics and available wind energy for six stations in Northern
Cyprus, namely Famagusta, Rizokarpaso, Ercan, Nicosia, Kyrenia and Morphou. Based on 7 year (2010-2016)
wind data recorded at these stations, Weibull distribution using three different methods called maximum
likelihood (MLM), moment (MM) and least squares (LSM) methods were used for the statistical analysis of
the obtained data at a height of 10 m. The power law model is utilised to determine the yearly and monthly
mean wind speed at various heights of 30, 50, 80 and 90 m. Moreover, Wind Power Density (WPD) was
estimated using three numerical methods. The results illustrated that Famagusta is the most applicable location
for harvesting the kinetic energy of the wind, while Rizokarpaso has been classified as the second most
applicable site. Furthermore, power density results indicated that the wind energy source in these regions
is categorized to be very poor. Consequently, it is concluded that the average wind powers indicate that
small-scale wind turbines are more suitable than high capacity wind turbines in the selected regions.}
    }