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Wind energy assessment for five locations in Saudi Arabia
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10.1063/1.4705116
/content/aip/journal/jrse/4/2/10.1063/1.4705116
http://aip.metastore.ingenta.com/content/aip/journal/jrse/4/2/10.1063/1.4705116

Figures

Image of FIG. 1.
FIG. 1.

The flow chart of the main matlab program.

Image of FIG. 2.
FIG. 2.

Monthly variation of wind speeds of the year for selected locations.

Image of FIG. 3.
FIG. 3.

Frequency distribution of annual wind speed for each site.

Image of FIG. 4.
FIG. 4.

Plotting ln[−ln(1 − F(u))] against ln(u), for each site, through which c, k are estimated.

Image of FIG. 5.
FIG. 5.

The capacity factor and cost of energy for ten WTG and five sites in Saudi Arabia.

Tables

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Table I.

Estimation of the Weibull parameters at 10 m and the power coefficient for all sites.

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Table II.

The technical data of WTGs.

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Table III.

The Weibull parameters at hub height of each WTG and ANWT for each site.

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Table IV.

The yearly energy output, capacity factor, and the cost of energy ($/kWh) for Yanbou and Dhahran.

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Table V.

The yearly energy output, capacity factor, and the cost of energy ($/kWh) for Douhlom and Riyadh.

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Table VI.

The yearly energy output, capacity factor, and the cost of energy ($/kWh) for Qaissumah.

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Table VII.

The best three WTGs for Yanbou, Dhahran, and Qaissumah.

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Table VIII.

The best three WTGs for Douhlom and Riyadh.

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/content/aip/journal/jrse/4/2/10.1063/1.4705116
2012-04-24
2014-04-20
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Wind energy assessment for five locations in Saudi Arabia
http://aip.metastore.ingenta.com/content/aip/journal/jrse/4/2/10.1063/1.4705116
10.1063/1.4705116
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