PL EN
Evaluation of Wind Energy Potential in View of the Wind Speed Parameters – A Case Study for the Southern Jordan
 
Więcej
Ukryj
1
Renewable Energy Technology, Department of Engineering and Technology, Applied Science Private University, P.O. Box 166, Amman, 11931 Jordan
 
2
Department of Mechanical Engineering, Faculty of Engineering, Tafila Technical University, P. O. Box 179, 66110 Tafila, Jordan
 
3
Mechanical Engineering Department, Faculty of Engineering, Al-Hussein Bin Talal University, Ma’an 71111, Jordan
 
4
Faculty of Environmental Engineering, Lublin University of Technology, ul. Nadbystrzycka 40B, 20-618 Lublin, Poland
 
5
Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849, USA
 
6
Natural Resources and Chemical Engineering Department, Faculty of Engineering, Tafila Technical University, P.O. Box 179, 66110 Tafila, Jordan
 
 
Autor do korespondencji
Sameh Alsaqoor   

Renewable Energy Technology, Department of Engineering and Technology, Applied Science Private University, P.O. Box 166, Amman, 11931 Jordan
 
 
Adv. Sci. Technol. Res. J. 2022; 16(6):275-285
 
SŁOWA KLUCZOWE
DZIEDZINY
 
STRESZCZENIE
In this paper, the potential resources of wind energy were examined, in the case of three different locations in Southern Jordan. On the basis of the collection of wind speed data, this study attempted to estimate the potential wind power. The empirical analysis was conducted using three different numerical approaches: empirical method, energy pattern factor method, and method of the moment. Afterward, the energy yield was evaluated including Weibull parameters, such as shape parameter and scale parameter. The analysis findings helped designate the most prospective locations for developing the strong wind energy potential. The annual mean values of wind speed observed in the typed locations were from 3.9 m/s to 4.9 m/s, and the theoretical wind power density distributions were from 87.6 W/m2 to 126.8 W/m2. The Aqaba area would be the most promising wind power location due to the greatest wind energy potential.
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