10.1007/s40095-019-00335-y

Evaluation of the cost of producing wind-generated electricity in Chad

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  • Marcel Hamda Soulouknga*1,
  • Sunday Olayinka Oyedepo2,
  • Serge Yamigno Doka3,
  • Timoleon Crépin Kofane4,
  1. Ecole Normale Supérieure de l’Enseignement Technique de Sarh, Sarh, TD Centre d’Excellence Africain en Technologie de l’Information et de la Communication, The University of Yaounde I, Yaoundé, CM
  2. Mechanical Engineering Department, Covenant University, Ota, NG Centre d’Excellence Africain en Technologie de l’Information et de la Communication, The University of Yaounde I, Yaoundé, CM
  3. Department of Physics, Faculty of Science, University of Ngaoundéré, Ngaoundere, CM Centre d’Excellence Africain en Technologie de l’Information et de la Communication, The University of Yaounde I, Yaoundé, CM
  4. Department of Physics, Faculty of Science, The University of Yaounde I, Yaoundé, CM Centre d’Excellence Africain en Technologie de l’Information et de la Communication, The University of Yaounde I, Yaoundé, CM
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Published in Issue 2020-01-11

How to Cite

Soulouknga, M. H., Oyedepo, S. O., Doka, S. Y., & Kofane, T. C. (2020). Evaluation of the cost of producing wind-generated electricity in Chad. International Journal of Energy and Environmental Engineering, 11(2 (June 2020). https://doi.org/10.1007/s40095-019-00335-y
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Abstract

Abstract This paper presents an economic analysis of the electricity produced by different types of wind turbines selected for Chad. Thus, the data considered for the analysis in this study are the average monthly wind speeds at selected locations, as well as the altitude value. Statistical analysis was performed using the Weibull distribution. The same energy factor allowed determining the Weibull parameters. The results obtained show that the average annual wind speed varies from 1 m/s in Am-Timan to 4.2 m/s in N'Djamena, at a height of 10 m from the ground. Weibull statistical parameters ( k and c ) were determined at 10, 30, 50, and 70 m. These were obtained by extrapolation using a power law based on Weibull parameters. Three models of wind turbines available on the market were used in this study: Bonus 300 kW/33, Bonus 1 MW/54, and Vestas 2 MW/V80. The performance of these wind turbines was evaluated using the calculation of the capacity factor and the annual energy produced by each type of wind turbine at 12 sites. The PVC (present value) method was used to perform an economic analysis. The lowest cost of wind power generation was obtained with the Vestas 2 MW/V80 model, with a cost per kilowatt-hour (kWh) of approximately $143.08/kWh/year in Moundou and 132343$89/kWh/year in Am-Timan. Therefore, it is recommended the use of a Vestas 2 MW/80 wind turbine in Chad.

Keywords

  • Weibull distribution,
  • Wind turbine,
  • PVC,
  • Wing energy
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