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Estimation of the Wind Energy Potential in Various North Algerian Regions

Author

Listed:
  • Mounir Alliche

    (Department of Mechanical Engineering, Faculty of Technology, University of Medea, Medea 26000, Algeria
    LERM—Renewable Energy and Materials Laboratory, University of Medea, Medea 26000, Algeria)

  • Redha Rebhi

    (Department of Mechanical Engineering, Faculty of Technology, University of Medea, Medea 26000, Algeria
    LERM—Renewable Energy and Materials Laboratory, 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
    Department of Mathematics, Science Faculty, Firat University, Elazig 23119, Turkey
    Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan)

  • Hijaz Ahmad

    (Department of Basic Science, University of Engineering and Technology, Peshawar 25000, Pakistan
    Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, 39, 00186 Roma, Italy)

  • 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)

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 .

Suggested Citation

  • Mounir Alliche & Redha Rebhi & Noureddine Kaid & Younes Menni & Houari Ameur & Mustafa Inc & Hijaz Ahmad & Giulio Lorenzini & Ayman A. Aly & Sayed K. Elagan & Bassem F. Felemban, 2021. "Estimation of the Wind Energy Potential in Various North Algerian Regions," Energies, MDPI, vol. 14(22), pages 1-13, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7564-:d:677757
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    References listed on IDEAS

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    1. Shakoor, Rabia & Hassan, Mohammad Yusri & Raheem, Abdur & Wu, Yuan-Kang, 2016. "Wake effect modeling: A review of wind farm layout optimization using Jensen׳s model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1048-1059.
    2. Bos, M.J. & Kersten, S.R.A. & Brilman, D.W.F., 2020. "Wind power to methanol: Renewable methanol production using electricity, electrolysis of water and CO2 air capture," Applied Energy, Elsevier, vol. 264(C).
    3. Barrows, S.E. & Homer, J.S. & Orrell, A.C., 2021. "Valuing wind as a distributed energy resource: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. Peng, Xiaokang & Liu, Zicheng & Jiang, Dong, 2021. "A review of multiphase energy conversion in wind power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    5. Ahmad, Jameel & Imran, Muhammad & Khalid, Abdullah & Iqbal, Waseem & Ashraf, Syed Rehan & Adnan, Muhammad & Ali, Syed Farooq & Khokhar, Khawar Siddique, 2018. "Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar," Energy, Elsevier, vol. 148(C), pages 208-234.
    6. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    7. Swenson, Lauren & Gao, Linyue & Hong, Jiarong & Shen, Lian, 2022. "An efficacious model for predicting icing-induced energy loss for wind turbines," Applied Energy, Elsevier, vol. 305(C).
    8. Tao, Siyu & Xu, Qingshan & Feijóo, Andrés & Zheng, Gang & Zhou, Jiemin, 2020. "Nonuniform wind farm layout optimization: A state-of-the-art review," Energy, Elsevier, vol. 209(C).
    9. Igwemezie, Victor & Mehmanparast, Ali & Kolios, Athanasios, 2019. "Current trend in offshore wind energy sector and material requirements for fatigue resistance improvement in large wind turbine support structures – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 181-196.
    10. Zhu, Wei Jun & Shen, Wen Zhong & Barlas, Emre & Bertagnolio, Franck & Sørensen, Jens Nørkær, 2018. "Wind turbine noise generation and propagation modeling at DTU Wind Energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 133-150.
    11. Li, Jinze & Liu, Pei & Li, Zheng, 2020. "Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification: A case study of west China," Energy, Elsevier, vol. 208(C).
    12. Barra, P.H.A. & de Carvalho, W.C. & Menezes, T.S. & Fernandes, R.A.S. & Coury, D.V., 2021. "A review on wind power smoothing using high-power energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
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