AccScience Publishing / AJWEP / Online First / DOI: 10.36922/AJWEP025070039
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ORIGINAL RESEARCH ARTICLE

Statistical analysis of wind energy potential in Mongo, Chad, for small-scale renewable applications

Ali Sidick Bahar1 ,  Adoum Kriga1 ,  Ali Ramadan Ali1 ,  Abakar Mahamat Tahir2 ,  Adoum Danao Adile1 ,  Fabien Kenmogne3*
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1 Department of Industrial Engineering and Maintenance, Faculty of Engineering Sciences and Techniques, Polytechnic University of Mongo, Mongo, Guéra region, Chad
2 Laboratory of Renewable Energy and Materials Premises, Faculty of Exact and Applied Sciences, University of Ndjamena, Ndjamena, Chad
3 Department of Civil Engineering, Advanced Teachers Training College of the Technical Education, University of Douala, Douala, Littoral Region, Cameroon
AJWEP, 025070039 https://doi.org/10.36922/AJWEP025070039
Received: 10 February 2025 | Revised: 14 July 2025 | Accepted: 15 July 2025 | Published online: 6 August 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Wind plays a crucial role in various physical applications, including wind energy and pollutant transport and diffusion. Wind varies from both temporal and spatial perspectives. This paper presents a statistical analysis of wind energy potential in Mongo, the capital city of Guéra Province, Chad, using 11 years of data obtained from the local meteorological station. Using the Weibull distribution function, we analyzed the wind speed probability distributions based on the wind data obtained. The obtained results, based on average annual wind speed and energy generation, indicate that Mongo is suitable only for small-scale wind energy applications. The average wind speed within the chosen time interval is 3.2 m/s, which is classified as Class 1 according to the international system of wind classification. Wind rose plots illustrate that the wind directions vary across the years. The temperature data were also plotted, reporting an average temperature of 27.76°C over the 11-year study period. This indicates that Mongo has a relatively hot climate, which may contribute to the modest but consistent wind speeds observed in this city.

Keywords
Wind energy potential
Renewable energy
Wind and temperature data
Weibull distribution function
Funding
None.
Conflict of interest
The authors declare that they have no competing interests.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing
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