Page 53 - AJWEP-22-6

Asian Journal of Water, Environment and Pollution. Vol. 22, No. 6 (2025), pp. 47-59.
doi: 10.36922/AJWEP025070039

ORIGINAL RESEARCH ARTICLE

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

Ali Sidick Bahar , Adoum Kriga , Ali Ramadan Ali , Abakar Mahamat Tahir ,
1
2
1
1
Adoum Danao Adile , and Fabien Kenmogne *
3
1
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
*Corresponding author: Fabien Kenmogne (kenfabien@yahoo.fr)

Received: February 10, 2025; 1st revised: March 17, 2025;2nd revised: May 5, 2025; 3rd revised: July 14, 2025;
Accepted: July 15, 2025; Published online: August 6, 2025

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.

1. Introduction essential services, such as healthcare, education, clean
water, and communication. The government of Chad
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Access to electricity remains a critical challenge in has initiated efforts to diversify its energy portfolio by
Chad, a landlocked Central African country with one integrating renewable energy sources, including solar
of the lowest electrification rates globally. As of 2021, and wind, into its national energy mix. Given Chad’s
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only about 8% of the total population had access to challenging energy access and the low electrification
electricity, with rural areas reporting coverage as low rates, especially in rural areas, such as Guéra Province,
as 1.3%. This energy poverty significantly hinders where Mongo is located, assessing Mongo’s wind
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social and economic development by limiting access to energy potential is crucial for identifying viable local

Volume 22 Issue 6 (2025) 47 doi: 10.36922/AJWEP025070039