Estimation of the Wind Energy Potential in Various North Algerian Regions

Mounir Alliche, Redha Rebhi, Noureddine Kaid, Younes Menni, Houari Ameur, Mustafa Inc, Hijaz Ahmad, Giulio Lorenzini, Ayman A. Aly, Sayed K. Elagan and Bassem F. Felemban
Additional contact information
Mounir Alliche: Department of Mechanical Engineering, Faculty of Technology, University of Medea, Medea 26000, Algeria
Redha Rebhi: Department of Mechanical Engineering, Faculty of Technology, University of Medea, Medea 26000, Algeria
Noureddine Kaid: Department of Technology, University Center Salhi Ahmed Naama (Ctr. Univ. Naama), P.O. Box 66, Naama 45000, Algeria
Younes Menni: Department of Technology, University Center Salhi Ahmed Naama (Ctr. Univ. Naama), P.O. Box 66, Naama 45000, Algeria
Houari Ameur: Department of Technology, University Center Salhi Ahmed Naama (Ctr. Univ. Naama), P.O. Box 66, Naama 45000, Algeria
Mustafa Inc: Department of Computer Engineering, Biruni University, Istanbul 34025, Turkey
Hijaz Ahmad: Department of Basic Science, University of Engineering and Technology, Peshawar 25000, Pakistan
Giulio Lorenzini: Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy
Ayman A. Aly: Department of Mechanical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Sayed K. Elagan: Department of Mathematics and Statistics, College of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Bassem F. Felemban: Department of Mechanical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Energies, 2021, vol. 14, issue 22, 1-13

Abstract: This investigation aims to model and assess the wind potential available in seven specific regions of North Algeria. These regions, i.e., Batna, Guelma, Medea, Meliana, Chlef, Tiaret, and Tlemcen, are known for their traditional agriculture. The wind data are obtained from the National Agency of Meteorology (NAM), and a Weibull distribution is applied. In the first part of this study, the wind potential available in these sites is assessed. Then, different models are used to estimate the wind system’s annual recoverable energy for these regions. We are interested in wind pumping for possible use to meet the needs of irrigation water in rural areas. Four kinds of wind turbines are explored to determine the possibility of wind energy conversion. In addition, the effects of the heights of the pylon holding the turbines are inspected by considering four cases (10, 20, 40, and 60 m). This estimation showed that the annual mean wind velocity varies from 2.48 to 5.60 m/s at a level of 10 m. The yearly values of Weibull parameters (k and c) at the studied sites varied within 1.61–2.43 and 3.32–6.20 m/s, respectively. The average wind power density ranged from 11.48 (at Chlef) to 238.43 W/m 2 (at Tiaret), and the monthly wind recoverable potential varied from 16.64 to 138 W/m 2 .

Keywords: Weibull distribution; wind potential; wind pumping; wind turbines; estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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