2019
DOI: 10.5937/jaes17-20241
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Wind energy assessment for the capital city of Jordan, Amman

Abstract: In this study, the meteorological statistics recorded of seven-year wind speed data of the capital city of Jordan, Amman at height 10 m is utilized to assess the potential of wind energy. Also, statistical assessment of wind characteristics is evaluated by the two-parameter Weibull function. Monthly and annual wind speed variation is also analyzed. The study shows that Amman city is more suitable for small-scale wind turbine farms with the current wind speeds. The values of the shape Parameter K, and scale Par… Show more

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Cited by 20 publications
(14 citation statements)
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“…This equation is shown below as Eq. ( 1) where Γ is the gamma function, ρ is air density 1.225 kg/m 3 at sea level with a mean temperature of 15 ℃ and 1 atmospheric pressure [18,21,22].…”
Section: Wind Resourcesmentioning
confidence: 99%
See 2 more Smart Citations
“…This equation is shown below as Eq. ( 1) where Γ is the gamma function, ρ is air density 1.225 kg/m 3 at sea level with a mean temperature of 15 ℃ and 1 atmospheric pressure [18,21,22].…”
Section: Wind Resourcesmentioning
confidence: 99%
“…Wind power density can be estimated by using Eq. ( 2) where ρ is the density of air, A is the cross-sectional area where the wind comes through, and V is the velocity of the wind [18,21,22].…”
Section: Wind Resourcesmentioning
confidence: 99%
See 1 more Smart Citation
“…The characteristics of the wind speed and the wind power capacity of any given region can be calculated using several statistical methods, among which the Weibull distribution is the most commonly acceptable technique [16][17][18][19]. This approach consists of various techniques for estimating Weibull's scale and shape parameters based on the type of accessible data and the degree of complexity required.…”
Section: Weibull Distribution Functionmentioning
confidence: 99%
“…Noise levels beyond the threshold value lead to hearing loss, as well as temporary and permanent damage risk to the ear. This happens after being exposed for a specified period without using adequate protective equipment [64]. Concerning this potential risk, governments in various countries have made regulations that limit the exposure of industrial workers' voices [70].…”
Section: Lighting and Noisementioning
confidence: 99%