International Journal of Energy and Power Engineering

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Estimate of the Wind Resource of Two Cities in the Sahara and Sahel in Chad

Received: 30 October 2020    Accepted: 13 November 2020    Published: 16 December 2020
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Abstract

The objective of this work is to map the wind resource of two cities of Ndjamena and Faya located respectively in Chadian Sahara and Sahel. As well as the evaluation of the annual energy produced at an altitude of 80m or 100m by the simulation of wind data from wind speed data collected from metrological stations in the Sahara and Sahel areas respectively in the cities of Ndjamena and Faya Airport, and available for five years. In this perspective, we start with the description of the site, the determination of the various wind parameters, such as the mathematical modeling of the wind frequency distribution: Weibull distribution and the numerical simulation of the real wind data collected over five years to provide predictions on sites in two cities of Ndjamena and Faya. Then, we estimate its wind potential, its prediction of the electrical energy produced and we carry out an analysis of the wind turbulence by taking into account the obstacles surrounding near the measurement mast of Ndjamena and Faya, the topography, the roughness of the site, the density and a judicious choice of wind turbines.

DOI 10.11648/j.ijepe.20200906.11
Published in International Journal of Energy and Power Engineering (Volume 9, Issue 6, November 2020)
Page(s) 86-94
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Wind, Resource, Energy, Sahara, Sahel, Simulation, Pumping, Ndjamena, Faya, Wind Power Density, Wind Frequency Distribution

References
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[5] Observ’ER, EDF, ‘La Production d’Electricité d’Origine Renouvelables dans le Monde’, Observatoire des Energies Renouvelables, 14eme inventaire, Edition 2012. Available from http://www.observ-er.org/observ-er/html/inventaire/Fr/preface asp [Accessed 13 January 2013].
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[7] H. Faida, J. Saadi, M. Khaider, S. El Alami et M. Monkade, ‘Etude et Analyse des Données du Vent en Vue de Dimensionner un Système de Production d’Energie Eolienne- Cas d’un Site au Nord du Maroc’, Revue des Energies Renouvelables, Vol. 13, N 3, pp. 477-483, 2010.
[8] J. V. Seguro and T. W. Lambert, ‘Modern Estimation of the Parameters of the Weibull Wind Speed Distribution for Wind Energy Analysis’, Journal of Wind Energy Engineering and Industrial Aerodynamics, Vol. 85, N 1, pp. 75-84, 2000.
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[11] H. Lettau, ‘Note on Aerodynamic Roughness - Parameter Estimation on the Basis of Roughness - Element Description’, Journal of Applied Meteorology, Vol. 8, N 5, pp. 828 –832, 1969.
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[13] M. Jamil, S. Parsa and M. Majidi, ‘Wind Power Statistics and Evaluation of Wind Energy Density’, Renewable Energy, Vol. 6, N 5-6, pp. 623 - 628, 1995.
[14] Boudia S. M, Benmansour A, Ghellai N, Benmedjahed M, Temporal assessment of wind energy resource at four locations in Algerian Sahara. Energy Conversion and Management 76: 654-664. 2013.
[15] Ohunakin OS, Akinnawonu OO, Assessment of wind energy potential and the economics of wind power generation in Jos, Plateau State, Nigeria. 2012.
[16] Energy Sustain Develop 16: 78-83. Justus CG, Mikhail A, Height variation of wind speed and wind distributions statistics. Geophys Res Lett 3: 261-264, 1976.
[17] C. Ilkılıç, H. Aydın and R. Behçet, ‘The Current Status of Wind Energy in Turkey and in the World’, Energy Policy, Vol 39, N 2, pp. 961-967, 2011.
[18] A. W. Dahmouni, M. Ben Salah, F. Askri, C. Kerkeni and S. Ben Nasrallah, ‘Assessment of Wind Energy Potential and Optimal Electricity Generation in Borj-Cedria, Tunisia’, Renewable and Sustainable Energy Reviews, Vol. 15, N 1, pp. 815-820, 2011.
[19] Prem Kumar Chaurasiya, V Kranthi Kumar, Vilas Warudkar & Siraj Ahmed. Evaluation of Wind Energy Potential and Estimation of Wind Turbine Characteristics for Two Different Sites. International Journal of Ambient Energy. April 2019.
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  • APA Style

    Abakar Mahamat Tahir, Mahamat Adoum Abdraman, Ruben Mouangue, Alexis Kuitche. (2020). Estimate of the Wind Resource of Two Cities in the Sahara and Sahel in Chad. International Journal of Energy and Power Engineering, 9(6), 86-94. https://doi.org/10.11648/j.ijepe.20200906.11

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    ACS Style

    Abakar Mahamat Tahir; Mahamat Adoum Abdraman; Ruben Mouangue; Alexis Kuitche. Estimate of the Wind Resource of Two Cities in the Sahara and Sahel in Chad. Int. J. Energy Power Eng. 2020, 9(6), 86-94. doi: 10.11648/j.ijepe.20200906.11

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    AMA Style

    Abakar Mahamat Tahir, Mahamat Adoum Abdraman, Ruben Mouangue, Alexis Kuitche. Estimate of the Wind Resource of Two Cities in the Sahara and Sahel in Chad. Int J Energy Power Eng. 2020;9(6):86-94. doi: 10.11648/j.ijepe.20200906.11

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  • @article{10.11648/j.ijepe.20200906.11,
      author = {Abakar Mahamat Tahir and Mahamat Adoum Abdraman and Ruben Mouangue and Alexis Kuitche},
      title = {Estimate of the Wind Resource of Two Cities in the Sahara and Sahel in Chad},
      journal = {International Journal of Energy and Power Engineering},
      volume = {9},
      number = {6},
      pages = {86-94},
      doi = {10.11648/j.ijepe.20200906.11},
      url = {https://doi.org/10.11648/j.ijepe.20200906.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20200906.11},
      abstract = {The objective of this work is to map the wind resource of two cities of Ndjamena and Faya located respectively in Chadian Sahara and Sahel. As well as the evaluation of the annual energy produced at an altitude of 80m or 100m by the simulation of wind data from wind speed data collected from metrological stations in the Sahara and Sahel areas respectively in the cities of Ndjamena and Faya Airport, and available for five years. In this perspective, we start with the description of the site, the determination of the various wind parameters, such as the mathematical modeling of the wind frequency distribution: Weibull distribution and the numerical simulation of the real wind data collected over five years to provide predictions on sites in two cities of Ndjamena and Faya. Then, we estimate its wind potential, its prediction of the electrical energy produced and we carry out an analysis of the wind turbulence by taking into account the obstacles surrounding near the measurement mast of Ndjamena and Faya, the topography, the roughness of the site, the density and a judicious choice of wind turbines.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Estimate of the Wind Resource of Two Cities in the Sahara and Sahel in Chad
    AU  - Abakar Mahamat Tahir
    AU  - Mahamat Adoum Abdraman
    AU  - Ruben Mouangue
    AU  - Alexis Kuitche
    Y1  - 2020/12/16
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijepe.20200906.11
    DO  - 10.11648/j.ijepe.20200906.11
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 86
    EP  - 94
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.20200906.11
    AB  - The objective of this work is to map the wind resource of two cities of Ndjamena and Faya located respectively in Chadian Sahara and Sahel. As well as the evaluation of the annual energy produced at an altitude of 80m or 100m by the simulation of wind data from wind speed data collected from metrological stations in the Sahara and Sahel areas respectively in the cities of Ndjamena and Faya Airport, and available for five years. In this perspective, we start with the description of the site, the determination of the various wind parameters, such as the mathematical modeling of the wind frequency distribution: Weibull distribution and the numerical simulation of the real wind data collected over five years to provide predictions on sites in two cities of Ndjamena and Faya. Then, we estimate its wind potential, its prediction of the electrical energy produced and we carry out an analysis of the wind turbulence by taking into account the obstacles surrounding near the measurement mast of Ndjamena and Faya, the topography, the roughness of the site, the density and a judicious choice of wind turbines.
    VL  - 9
    IS  - 6
    ER  - 

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Author Information
  • Faculty of Exact Sciences, University of N’Djamena, N’Djamena, Chad

  • Department of Electrical, Energy and Automatic Engineering, University of Ngaoundéré, Ngaoundere, Cameroon

  • Department of Energy Engineering, University of Ngaounderé, Ngaoundere, Cameroon

  • Department of Electrical, Energy and Automatic Engineering, University of Ngaoundéré, Ngaoundere, Cameroon

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