Wind resource assessment of Northern Cyprus

Solyalı, Davut; Altunc, M.; Tolun, Süleyman; Aslan, Zafer

doi:10.1016/j.rser.2015.10.123

Cited by 69 publications

(35 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second section of the current research focuses on the Weibull distribution parameters. Since various procedures may be followed when calculating these, certain papers compare the parameter values obtained by different methods [23]. The double logarithmic transformation of the cumulative distribution function is one of the simplest [24], while the maximum likelihood method is a commonly used technique [25].…”

Section: Introductionmentioning

confidence: 99%

Wind speed description and power density in northern Spain

Herrero-Novoa

Pérez

Sánchez

et al. 2017

Energy

View full text Add to dashboard Cite

Wind resources are increasingly being investigated as a clean alternative for generating energy. This paper analyses the daily wind speed recorded at 46 automatic weather stations located in Navarre, northern Spain, in 2005e2015. Key points are the surface density of stations and the range of time that ensure a faithful depiction of wind speed together with surface calculations from image analysis and correlation with height. Different statistics were used. Median wind speed at 10 m was low, about 3.3 m s À1 and its interquartile range was narrow, about 2.3 m s À1. Nearly half the surface shows a median wind speed above 3.0 m s À1. The method of moments was employed to calculate the parameters of the Weibull distribution. Around half of the surface presented a shape parameter above 2.25 and the scale parameter was above 4 m s À1 for nearly 41% of the region. Although wind resources are not suitable for wind turbine applications in most of the region, since the wind speed is low in low-lying areas, about 12% of the region is suitable for stand-alone applications and, moreover, a substantial part of the region, around 23%, presents satisfactory wind resources for the installation of wind turbines.

show abstract

Section: Introductionmentioning

confidence: 99%

Wind speed description and power density in northern Spain

Herrero-Novoa

Pérez

Sánchez

et al. 2017

Energy

View full text Add to dashboard Cite

show abstract

“…Beşparmak gives its depictive name to the whole mountain range and SelviliTepe in the west with the highest peak of 1024 m are the most renowned and outstanding mountains in North Cyprus. According to Solyali et al [26], the mean annual wind speed at the Selvili-Tepe location is about 5 m/s at 30 m height. As mentioned previously, there is a lack of studies that have investigated the wind power potential in Northern Cyprus.…”

Section: Discussionmentioning

confidence: 99%

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

2018

View full text Add to dashboard Cite

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 Lefkoşa, 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 Lefkoşa, Ercan, Girne, Güzelyurt, and Dipkarpaz. However, the Log-Logistic, Weibull, and Gamma distributions gave a better fit to the actual data of Gazimağusa, YeniBoğaziçi, 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/m2 to 134.29 W/m2 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.

show abstract

“…The ruggedness of the terrain of the reference and the predicted sites must both be closer to 0% (Bowen and Mortensen, 1996). The two requirements of the WAsP method are (Solyali et al, 2016):…”

Section: Wasp Methodsmentioning

confidence: 99%

Wind energy resource assessment for Vanuatu with accurate estimation of Weibull parameters

Singh

Bule

Khan

et al. 2019

Energy Exploration & Exploitation

View full text Add to dashboard Cite

Wind energy resource assessments for Pentecost Island and Epi Island in Vanuatu were carried out using one year of wind data. The wind data were used to calculate the daily average wind speed, diurnal variation of wind speed and monthly average wind speed. The diurnal variation of wind shear coefficient of the site was also studied and it correlated well with the temperature variation. Ten methods were used to determine the Weibull parameters and the wind power density of the site. The best method was determined using the goodness of fit test/error where the correlation coefficient, coefficient of efficiency, root mean square error, maximum absolute error and maximum absolute percentage error for the 10 methods were compared. It was found that the moments method was the best method for obtaining the shape parameter (k), the scale parameter (A) and the correct wind power density for the Pentecost Island site, whereas for the Epi site, the median and quartiles method performed the best. The mean wind speed for the Pentecost site was 5.60 m/s, while that for the Epi site was 5.86 m/s. The Weibull parameters were also estimated for the two seasons for both the islands. The wind resource maps showing the wind power density were also obtained. The annual energy production from 10 Vergnet 275 kW wind turbines, positioned at good locations on the digital wind map, was estimated. Finally, an economic analysis of the turbines was carried out, which indicated a payback period of 4.85 years.

show abstract

Wind resource assessment of Northern Cyprus

Cited by 69 publications

References 12 publications

Wind speed description and power density in northern Spain

Wind speed description and power density in northern Spain

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

Wind energy resource assessment for Vanuatu with accurate estimation of Weibull parameters

Contact Info

Product

Resources

About