Potential wind power generation in the State of Kuwait

Al-Nassar, Waleed; Alhajraf, S.; Al-Enizi, A.; Al-Awadhi, L.

doi:10.1016/j.renene.2005.01.002

Cited by 132 publications

(56 citation statements)

References 6 publications

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“…Wind power density depends on air density and the cube of the wind speed. The average wind power density in terms of wind speed is calculated as (Yang et al, 2014;Al-Nassar et al, 2005;Jowder, 2009) (22) Where v i the measured wind speed per every three hours and N is the total sample data annualy. Wind power density in Weibull distribution analysis can be written as follows:…”

Section: Wind Power Densitymentioning

confidence: 99%

Assessment and Analysis of Wind Power Resource Using Weibull Parameters

Bassyouni

Gutub

Javaid

et al. 2015

Energy Exploration & Exploitation

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In this study, wind data of eleven years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) has been used to determine wind characteristics of Saudi Arabian city Jeddah. These characteristics include the daily, monthly and annual wind speed, wind probability density distribution, shape (k) and scale (c) parameters at 10 m height. The analysis revealed that yearly values of k ranged from 1.398 to 1.763 with a mean value of 1.590 and values of scale parameter c varied from 3.146 to 4.329 with mean value of 3.95. Furthermore, the results showed that maximum and minimum wind power potential was observed in the month of March and February, respectively. The wind was found to be blowing predominantly from south east direction. It was found that wind potential of the region can be used for small scale off-grid wind applications.

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Section: Wind Power Densitymentioning

confidence: 99%

Assessment and Analysis of Wind Power Resource Using Weibull Parameters

Bassyouni

Gutub

Javaid

et al. 2015

Energy Exploration & Exploitation

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“…Wind power density, 1-p(v) , takes into account the frequency distribution of the wind speed and the dependence of wind power on air density and the cube of the wind speed [9]. Therefore, wind power density is generally considered a better indicator of the wind resource than wind speed.…”

Section: Wind Power Densitymentioning

confidence: 99%

The Analysis of Wind Power Potential in Kerman Synoptic Stations, Iran -An Estimation Using the Weibull Density Function

Tezerjani¹,

Kamal²,

Mazidi³

2015

J Climatol Weather Forecasting

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Material and MethodsSince wind is a vector quantity having direction and speed, it is subject to topographical and atmospheric changes. It is impossible to make an estimation of wind direction and wind speed at intervals in which wind speed is not reported. Moreover, this estimation is not error free. To reduce the impact of this error, the researcher took raw data from Tehran Meteorology Organization for a period of at least 20 years. The data reported wind direction and wind speed at Kerman synoptic stations for the consecutive years. Then wind data were converted from Knot to m/s (1 Knot=0.514 m/s).All the graphs, tables and data in the project were analyzed Using weibull distribution function, discontinuous wind data were substituted. This substitution has been applied through least square feet after computing weibull parameters C & K. Wind date were changed at 10 m height to 50 m by applying one seventh power law (50 m is the most height of turbines axis) and characteristics of both wind speed and wind power in each height has been computed.Due to wind power density equals 292.63 and 583.29 w/m 2 at 10 and 50 m height respectively, average wind speed equals 17.42 m/s at 50 m height, wind existence equals 7438.5 h/y, probability of wind blowing in the wind existence hours with speeds between 3 to 25 m/s equals 0.95, most probability of wind speed equals 7.77 m/s, the result show that Rafsanjan synoptic station is an ideal place having high wind energy potential. Application of wind energy at this synoptic station with automatic turbines working at the speed of 3 m/s at 50 m height axis and above has been economically efficient.

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“…Wind assessment is occurring in many other locations around the globe and include the Red Sea coast in Egypt [15], several locations in Kuwait [16], a wind atlas for Quebec province in Canada [17], and coastal wind in Granada, West Indies [18].…”

Section: Wind Maps and Datamentioning

confidence: 99%

Wind resource assessment in the state of Arizona: Inventory, capacity factor, and cost

et al. 2007

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During the summer of 2003, the state of Arizona took delivery of a set of high-resolution wind energy maps that were developed with a meso-scale wind energy model coupled with wind data. The geographical information system data supplied with the wind maps was used to create a wind resource inventory that included wind energy potential, proximity to transmission lines, and land ownership. Four diverse sites were selected for further study, one predominantly class 3, one predominantly class 4, one predominantly class 5, and one predominantly class 6. At each site, the capacity factor was determined, the seasonal influence was observed, and the real levelized cost of energy in 2005 dollars determined. As the wind class varied from 6 to 3 the levelized cost of energy ranged from 4.22 to 6.00 cents per kWh. These results do not include the production tax credit or the renewable energy production incentive, do include adjustments for elevation, losses, and inflation, and are considered conservative. This paper documents the findings of the wind mapping process, describes the method and results of evaluating the most promising sites for wind development, and presents the cost of energy results.

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Potential wind power generation in the State of Kuwait

Cited by 132 publications

References 6 publications

Assessment and Analysis of Wind Power Resource Using Weibull Parameters

Assessment and Analysis of Wind Power Resource Using Weibull Parameters

The Analysis of Wind Power Potential in Kerman Synoptic Stations, Iran -An Estimation Using the Weibull Density Function

Wind resource assessment in the state of Arizona: Inventory, capacity factor, and cost

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