Assessment of Wind Energy Potential as a Power Generation Source: A Case Study of Eight Selected Locations in Northern Cyprus

被引:34
|
作者
Alayat, Mohamad M. [1 ]
Kassem, Youssef [1 ,2 ]
Camur, Hueseyin [1 ]
机构
[1] Near East Univ, Dept Mech Engn, Engn Fac, Via Mersin 10 Turkey, CY-99138 Nicosia, Cyprus
[2] Near East Univ, Dept Civil Engn, Civil & Environm Engn Fac, Via Mersin 10 Turkey, CY-99138 Nicosia, Cyprus
关键词
Northern Cyprus; probability density functions; statistical modeling; wind speed characterization; ELECTRICITY-GENERATION; PROBABILITY-DISTRIBUTIONS; CONVERSION SYSTEMS; SPEED; REGION; TURKEY; ALGERIA; MODELS; SITES; COST;
D O I
10.3390/en11102697
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a techno-economic assessment of the wind power potential for eight locations distributed over the Northern part of Cyprus. The wind speed data were collected from the meteorological department located in Lefkoa, Northern Cyprus.Ten distribution models were used to analyze the wind speed characteristics and wind energy potential at the selected locations. The maximum-likelihood method was used for calculating the parameters of the distribution functions.The power law model is utilized to determine the mean wind speed at various heights. In addition, the wind power density for each location was estimated. Furthermore, the performances of different small-scale vertical axis 3-10 kW wind turbines were evaluated to find those that were suitable and efficient for power generation in the studied locations.The results showed that the annual mean wind speed in the regions is greater than 2 m/s at a height of 10 m. Moreover, it is indicated that Generalized Extreme Value distribution provided the best fit to the actual data for the regions of Lefkoa, Ercan, Girne, Guzelyurt, and Dipkarpaz. However, the Log-Logistic, Weibull, and Gamma distributions gave a better fit to the actual data of Gazimausa, YeniBoazici, and Salamis, respectively. The Rayleigh distribution does not fit the actual data from all regions. Furthermore, the values of wind power densityat the areas studied ranged from 38.76 W/m(2) to 134.29 W/m(2) at a height of 50 m, which indicated that wind energy sources in these selected locations are classified as poor. Meanwhile, based on the wind analysis, small-scale wind turbine use can be suitable for generating electricity in the studied locations. Consequently, an Aeolos-V2 with a rating of 5 kW was found to be capable of producing the annual energy needs of an average household in Northern Cyprus.
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页数:22
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