Wind characteristics and wind energy potential analysis in five sites in Lebanon

Zohbi, Gaydaa Al; Hendrick, Patrick; Bouillard, Philippe

doi:10.1016/j.ijhydene.2015.04.115

Cited by 29 publications

(15 citation statements)

References 21 publications

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“…Based on Section 3.5, five commercially available small vertical axis wind turbines (VAWT) were selected, and the required technical specifications are given in Table 12. In this study, the annual output energy and the capacity factor of the wind turbines for the selected locations were calculated using Equations (7) and (10) and summarized in Table 13 for the Aeolos-V2 5 kW rated model and Table S2 as Supplementary Material for other selected wind turbine models. In addition, the effect of hub height on the annual energy and capacity factor from the chosen wind turbine is shown in Table 13 for the Aeolos-V2 5 kW rated model, while Table S2 as Supplementary Material shows the effect of hub heights on the annual energy and capacity factor of other models.…”

Section: Economic Analysis Of the Wind Turbinementioning

confidence: 99%

“…The accuracy of these distributions, characterized by their ability to fit the observed data, has a significant impact on the efficiency and uncertainty of the estimated wind energy productions at a particular site. In the literature, some well-known PDFs and CDFs, including Weibull, Rayleigh, Generalized Extreme Value, Gamma, Normal, Log-normal, Logistic, Log-logistic, and Inverse Gaussian [7][8][9][10][11][12], have been used to model the wind speed and power density distributions. For instance, Ouarda et al [7] investigated the wind speed characteristics of nine stations in UAE using eleven distribution functions.…”

Section: Introductionmentioning

confidence: 99%

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

2018

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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.

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Section: Economic Analysis Of the Wind Turbinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2018

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“…Knowing the distribution function of wind speeds f (V) and the wind turbine's power curve on the site, the (Salami et al, 2013;Al Zohbi et al, 2015).…”

Section: Optimal Choice Of the Parameters Of A Wind Turbinementioning

confidence: 99%

Evaluation of wind potential for an optimum choice of wind turbine generator on the sites of Lomé, Accra, and Cotonou located in the gulf of Guinea

Salami

Ajavon

Kodjo

et al. 2016

Int. J. Renew. Energy Dev.

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This work presents the characterization and assessment of wind energy potential in annual and monthly levels of the sites of Lomé, Accra and Cotonou located in the Gulf of Guinea, and the optimal characteristics of wind turbines to be installed on these sites. Studies of characterization and the wind potential of these sites from the wind speed data collected over a period of thirteen years at a height of 10 meters above the ground, show an annual average speed of 3.52 m/s for Lomé, 3.99 m/s for Cotonou and 4.16 m/s for Accra. These studies also showed that a monthly average speed exceeding 4 m/s was observed on the sites of Cotonou and Accra during the months of February, March, April, July, August and September and during the months of July, August and September on the site of Lomé. After a series of simulation conducted using the software named PotEol that we have developed in Scilab, we have retained that the wind turbines rated speeds of ~8 to 9 m/s at the sites of Lomé and Cotonou and ~ 9 to 10 m/s on the site of Accra would be the most appropriate speeds for optimal exploitation of electric energy from wind farms at a height of 50 m above the ground.Article History: Received May 26th 2016; Received in revised form August 24th 2016; Accepted August 30th 2016; Available onlineHow to Cite This Article: Salami, A.A., Ajavon, A.S.A , Kodjo, M.K. and Bédja, K. (2016) Evaluation of Wind Potential for an Optimum Choice of Wind Turbine Generator on the Sites of Lomé, Accra, and Cotonou Located in the Gulf of Guinea. Int. Journal of Renewable Energy Development, 5(3), 211-223.http://dx.doi.org/10.14710/ijred.5.3.211-223

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“…Before investing in a wind energy harvesting system at a certain location, the available wind energy (potential) and the feasibility of utilizing a wind energy conversion system need to be assessed in order to use the full potential of the available kinetic energy that wind can provide. The first parameters that need to be considered are the speed and characteristics of the wind at concerned location (Wagner and Mathur, 2012;Al Zohbi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have been successfully conducted based on the mathematical methods known as Weibull and Rayleigh distributions to investigate the wind energy potential of different regions around the world. Al Zohbi et al (2015), Rehman et al (1994), Soulouknga et al (2018) have investigated wind energy potential by using the method known as Weibull distribution. However, Pishgar-Komleh and Akram (2017), Ozay and Celiktas (2016), Gokcek et al (2007) Turk and Kizi (2008), Katinas et al (2017) conducted their research by comparing both Weibull and Rayleigh distributions.…”

Section: Introductionmentioning

confidence: 99%

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

Kassem¹,

Camur²,

Abughinda³

et al. 2019

J. Eng. Appl. Sci.

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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.

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Wind characteristics and wind energy potential analysis in five sites in Lebanon

Cited by 29 publications

References 21 publications

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

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

Evaluation of wind potential for an optimum choice of wind turbine generator on the sites of Lomé, Accra, and Cotonou located in the gulf of Guinea

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

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