American Journal of Energy Engineering

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Wind Data Assessment for Wind Power Production with a View to Reducing the Rate of Greenhouse Gas Emissions in the City of Abéché, Chad

Received: 17 September 2023    Accepted: 23 October 2023    Published: 17 November 2023
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Abstract

The objective of this research work is to assess the wind potential of the city of Abéché, based on data provided over ten (10) years by the meteorological station of the National Meteorological Agency (ANAM) of Chad using daily wind data for a recording interval of one hour. Then, the mathematical model used to evaluate wind parameters is the Weibull distribution which is one of the most widely used distributions in several previous works for the assessment of wind potential. This mathematical model made it possible to accurately assess the wind power density and the energy density available at different altitudes: 10m, 30m, 50m and 80m. Then, a numerical simulation allowed us to identify the different wind turbinesapplicable to the study site. The result obtained from this work shows that wind turbines can only be installed for the production of electricity from a height of 30m in the Town of Abeche. The project will reduce 93% percent GHG emissions.

DOI 10.11648/j.ajee.20231104.13
Published in American Journal of Energy Engineering (Volume 11, Issue 4, December 2023)
Page(s) 120-126
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, Energy Conversion, Wind Rose, Greenhouse Gas, Abeché, TCHAD

References
[1] M. A. Abdraman, A. M. Tahir, D. Lissouc, et M. Y. Kazet, «Wind Resource Assessment in the City of N’djamena in Chad», INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, vol. 6, no 3, 2016.
[2] R. Berahab, «Energies renouvelables en Afrique: Enjeux, défis et opportunités», Policy Paper PP-19/06, mai 2019.
[3] M. K. Nediguina, A. Mahamat Tahir, M. Barka, M. H. Soulouknga, et J. L. Nsouandele, «Evaluation of the Wind Power Potential in the Northeast of Chad», J. Renew. Energ., vol. 25, no 1, oct. 2022, doi: 10.54966/jreen.v25i1.1075.
[4] M. A. Adams, «Etude des Causes de l’Échec des projets d’Électrification rurale par le solaire photovoltaïque: cas du TCHAD», Mémoire de Master, 2IE, Bourkina, 2015.
[5] «DonnéesMondiales - Le monde en chiffres», DonnéesMondiales.com. https://www.donneesmondiales.com/ (consulté le 17 août 2023).
[6] M. Sathyajith, «Wind energy: fundamentals, resource analysis and economics», Choice Rev. Online, vol. 44, no 01, p. 44-0337-44‑0337, sept. 2006, doi: 10.5860/CHOICE.44-0337.
[7] D. H. Faida, D. J. Saadi, et D. M. Khaider, «Etude de faisabilité d’une ferme éolienne».
[8] Y. El Khchine, M. Sriti, et N. E. El Kadri Elyamani, «Evaluation of wind energy potential and trends in Morocco», Heliyon, vol. 5, no 6, p. e01830, juin 2019, doi: 10.1016/j.heliyon.2019.e01830.
[9] M. K. Nediguina, M. A. Abdraman, M. Barka, et A. M. Tahir, «Electric Water Pumping Powered by a Wind Turbine in North East Chad», World Journal of Applied Physics, vol. 7 (2), p. 21‑31, 2022, doi: doi: 10.11648/j.wjap.20220702.12.
[10] M. A. Abdraman, R. M. Mouangue, A. M. Tahir, et A. Kuitche, «Energy Cartography of the Wind Resource in the City of Faya and Application to Water Pumping», International Journal of Renewable Energy Sources, vol. 4, 2019.
[11] D. K. Kidmo, B. Bogno, K. Deli, et D. Goron, «Seasonal Wind Characteristics and Prospects of Wind Energy Conversion Systems for Water Production in the Far North Region of Cameroon», Smart Grid Renew. Energy, vol. 11, no 09, p. 127‑164, 2020, doi: 10.4236/sgre.2020.119009.
[12] D. K. Kidmo, B. Bogno, K. Deli, M. Aillerie, et B. P. Ngoussandou, «Economic assessment of WECS for water pumping systems in the North Region of Cameroon», Renew. Energy Environ. Sustain., vol. 6, p. 6, 2021, doi: 10.1051/rees/2021006.
[13] J. V. Seguro et T. W. Lambert, «Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis», J. Wind Eng. Ind. Aerodyn., vol. 85, no 1, p. 75‑84, mars 2000, doi: 10.1016/S0167-6105(99)00122-1.
[14] H. Lettau, «Note on Aerodynamic Roughness-Parameter Estimation on the Basis of Roughness-Element Description», J. Appl. Meteorol. Climatol., vol. 8, no 5, p. 828‑832, oct. 1969, doi: 10.1175/1520-0450(1969)008<0828:NOARPE>2.0.CO;2.
Cite This Article
  • APA Style

    Abdraman, M. A., Tidjani, Y., Issa, B. M., Nediguina, M. K., Tahir, A. M., et al. (2023). Wind Data Assessment for Wind Power Production with a View to Reducing the Rate of Greenhouse Gas Emissions in the City of Abéché, Chad. American Journal of Energy Engineering, 11(4), 120-126 . https://doi.org/10.11648/j.ajee.20231104.13

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    ACS Style

    Abdraman, M. A.; Tidjani, Y.; Issa, B. M.; Nediguina, M. K.; Tahir, A. M., et al. Wind Data Assessment for Wind Power Production with a View to Reducing the Rate of Greenhouse Gas Emissions in the City of Abéché, Chad. Am. J. Energy Eng. 2023, 11(4), 120-126 . doi: 10.11648/j.ajee.20231104.13

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    AMA Style

    Abdraman MA, Tidjani Y, Issa BM, Nediguina MK, Tahir AM, et al. Wind Data Assessment for Wind Power Production with a View to Reducing the Rate of Greenhouse Gas Emissions in the City of Abéché, Chad. Am J Energy Eng. 2023;11(4):120-126 . doi: 10.11648/j.ajee.20231104.13

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  • @article{10.11648/j.ajee.20231104.13,
      author = {Mahamat Adoum Abdraman and Yacoub Tidjani and Boukhari Mahamat Issa and Mahamat Kher Nediguina and Abakar Mahamat Tahir and Ruben Mouangue},
      title = {Wind Data Assessment for Wind Power Production with a View to Reducing the Rate of Greenhouse Gas Emissions in the City of Abéché, Chad},
      journal = {American Journal of Energy Engineering},
      volume = {11},
      number = {4},
      pages = {120-126 },
      doi = {10.11648/j.ajee.20231104.13},
      url = {https://doi.org/10.11648/j.ajee.20231104.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajee.20231104.13},
      abstract = {The objective of this research work is to assess the wind potential of the city of Abéché, based on data provided over ten (10) years by the meteorological station of the National Meteorological Agency (ANAM) of Chad using daily wind data for a recording interval of one hour. Then, the mathematical model used to evaluate wind parameters is the Weibull distribution which is one of the most widely used distributions in several previous works for the assessment of wind potential. This mathematical model made it possible to accurately assess the wind power density and the energy density available at different altitudes: 10m, 30m, 50m and 80m. Then, a numerical simulation allowed us to identify the different wind turbinesapplicable to the study site. The result obtained from this work shows that wind turbines can only be installed for the production of electricity from a height of 30m in the Town of Abeche. The project will reduce 93% percent GHG emissions.
    },
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Wind Data Assessment for Wind Power Production with a View to Reducing the Rate of Greenhouse Gas Emissions in the City of Abéché, Chad
    AU  - Mahamat Adoum Abdraman
    AU  - Yacoub Tidjani
    AU  - Boukhari Mahamat Issa
    AU  - Mahamat Kher Nediguina
    AU  - Abakar Mahamat Tahir
    AU  - Ruben Mouangue
    Y1  - 2023/11/17
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ajee.20231104.13
    DO  - 10.11648/j.ajee.20231104.13
    T2  - American Journal of Energy Engineering
    JF  - American Journal of Energy Engineering
    JO  - American Journal of Energy Engineering
    SP  - 120
    EP  - 126 
    PB  - Science Publishing Group
    SN  - 2329-163X
    UR  - https://doi.org/10.11648/j.ajee.20231104.13
    AB  - The objective of this research work is to assess the wind potential of the city of Abéché, based on data provided over ten (10) years by the meteorological station of the National Meteorological Agency (ANAM) of Chad using daily wind data for a recording interval of one hour. Then, the mathematical model used to evaluate wind parameters is the Weibull distribution which is one of the most widely used distributions in several previous works for the assessment of wind potential. This mathematical model made it possible to accurately assess the wind power density and the energy density available at different altitudes: 10m, 30m, 50m and 80m. Then, a numerical simulation allowed us to identify the different wind turbinesapplicable to the study site. The result obtained from this work shows that wind turbines can only be installed for the production of electricity from a height of 30m in the Town of Abeche. The project will reduce 93% percent GHG emissions.
    
    VL  - 11
    IS  - 4
    ER  - 

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

  • National Higher Institute of Sciences and Technology of Abéché, Abéché, Chad

  • National Higher Institute of Sciences and Technology of Abéché, Abéché, Chad

  • Faculty of Exact and Applied Sciences des Sciences, University of N’Djamena, N’Djamena, Chad

  • Faculty of Exact and Applied Sciences des Sciences, University of N’Djamena, N’Djamena, Chad

  • National Higher Polytechnic School of Douala, University of Douala, Douala, Cameroon

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