Wind Energy Potential Assessment in Selected Regions in Northern Cyprus Based on Weibull Distribution Function

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.

Evaluation of the Wind Power Potential in the Northeast of Chad

“…They are determined by one of the most accurate and efficient methods called the EPF method [15,16]. Equations (3) and (5) give the mathematical models used [17,18]:…”

Exploring Solar and Wind Energy as a Power Generation Source for Solving the Electricity Crisis in Libya

“…In the literature, the two-parameter Weibull distribution function (2W) is commonly used to study the distribution of wind speed (v) at the selected region. The 2W is represented as [36][37][38][39]:…”

“…The parameters of 2W are estimated using the maximum likelihood method. The equation that determines these parameters can be expressed as follows [36][37][38][39]:…”