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Contribution to improving the modeling of wind and evaluation of the wind potential of the site of Lome: Problems of taking into account the frequency of calm winds

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  • Salami, Akim Adekunle
  • Ajavon, Ayite Senah Akoda
  • Kodjo, Mawugno Koffi
  • Bedja, Koffi-Sa

Abstract

The purpose of this paper is to determine for the site of Lome, the best model that fits the frequency histogram of wind speeds to estimate with precision the amounts of recoverable wind energy. Our study was to characterize the wind potential of Lome using the approach of Hybrid Weibull distribution because of calm winds observed in the series of wind measurements of the site. To do this, two other traditional approaches often used to model the winds have been applied to this same site to better assess the results of applying the method of Hybrid Weibull. To this end, we first determined the statistical characteristics of measurements on the site and the methods used to model wind and evaluate the wind potential. We then proceeded to apply these methods to the site data, and finally an analysis of the results to confirm the validity of using the approach of hybrid Weibull distribution was made.

Suggested Citation

  • Salami, Akim Adekunle & Ajavon, Ayite Senah Akoda & Kodjo, Mawugno Koffi & Bedja, Koffi-Sa, 2013. "Contribution to improving the modeling of wind and evaluation of the wind potential of the site of Lome: Problems of taking into account the frequency of calm winds," Renewable Energy, Elsevier, vol. 50(C), pages 449-455.
    • Handle: RePEc:eee:renene:v:50:y:2013:i:c:p:449-455
    DOI: 10.1016/j.renene.2012.06.057
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    1. Aksoy, Hafzullah & Fuat Toprak, Z & Aytek, Ali & Erdem Ünal, N, 2004. "Stochastic generation of hourly mean wind speed data," Renewable Energy, Elsevier, vol. 29(14), pages 2111-2131.
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    1. Kwami Senam A. Sedzro & Adekunlé Akim Salami & Pierre Akuété Agbessi & Mawugno Koffi Kodjo, 2022. "Comparative Study of Wind Energy Potential Estimation Methods for Wind Sites in Togo and Benin (West Sub-Saharan Africa)," Energies, MDPI, vol. 15(22), pages 1-28, November.

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