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Bahar, et al.

solutions that can foster sustainable development and The combination of the Weibull distribution and the
improve living standards. This focus aligns with the maximum entropy principle (MEP) allows for a robust
national aims of expanding decentralized renewable and complementary characterization of the wind speed
energy systems to underserved regions. 4,5 distribution, where Weibull provides a widely accepted
Wind energy, as a globally recognized clean and parametric model, and Maximum Entropy offers a
renewable resource, has been extensively studied to flexible, information-theoretic approach that can capture
address energy access challenges. Recent scientific complex wind speed behaviors that are not always well
literature provides a comprehensive and up-to-date basis represented by standard distributions. 28-30
for assessing and deploying wind energy in contexts The goal is to determine whether Mongo is suitable
comparable to Chad. 8-23 These studies encompass for small-scale wind energy systems that support rural
various statistical approaches to wind resource electrification initiatives and contribute to the national
assessment, which demonstrate the global relevance of renewable energy strategy. These methods have been
evaluating wind energy potential in developing regions. validated in similar assessments in North and West
Despite the country’s significant potential in Africa, Central Asia, and Latin America, proving
both fossil and renewable energy sources, including effective even in low-to-moderate wind conditions. 17
solar irradiance levels exceeding 5.5 kWh/m²/day The research’s strengths lie in its long-term dataset,
and moderate wind corridors in various regions, the robust statistical approach, and focused geographic
application of wind energy remains underdeveloped. 8-10 scope, which provide detailed, actionable insights.
In response to the pressing need for sustainable energy However, there are limitations, such as the absence of
and climate resilience, the Chadian government has economic and technical feasibility analyses, which are
prioritized the development of renewable energy proposed for future work. The study contributes to the
through national energy planning and recent regulatory scientific field by addressing a critical data gap for Chad
reforms, such as the 2018 Renewable Energy Promotion and demonstrating a replicable methodology for wind
Law. 11,12 Wind energy, in particular, offers a promising resource assessment in comparable developing regions.
solution for off-grid and rural electrification, especially The relevance of this study lies in its potential to inform
in areas with moderate and consistent wind patterns. 13,14 policy decisions and guide investment in decentralized
Studies from countries with similar climatic conditions wind energy systems for rural regions in Chad.
have shown that even moderate wind regimes, when Unlike previous research, which often covers broader
well characterized statistically, can effectively support geographic scopes or lacks temporal depth, this work
micro-wind energy systems. 15,16 provides a detailed, localized, and data-driven analysis
Mongo, the capital of Guéra Province, is situated focused on a specific site of strategic interest. It not only
in a transitional climatic zone between the Sahel and contributes to the sparse academic literature on Chad’s
Sudanese ecological regions. Although it has not been wind energy prospects but also provides actionable
the focus of major national wind studies, its location, insights for energy planners, engineers, and stakeholders.
topography, and meteorological conditions suggest that To guide this investigation, the following research
Mongo is a potentially viable wind resource. Previous questions are posed:
studies, such as those by Soulouknga et al. and Medjo (i) What is the average annual and monthly wind speed
2
Nouadje et al., have explored wind potential in regions, in Mongo over the period 2012 – 2022?
24
including Abéché and N’Djamena, applying the Weibull (ii) What are the dominant wind directions, and how do
distribution model to characterize wind patterns. they vary seasonally?
However, these analyses often rely on short datasets or (iii) What is the estimated wind power density and its
fail to evaluate wind behavior over extended periods. suitability for energy generation?
Similar gaps have been observed in many developing (iv) Does Mongo meet the criteria for deploying
countries, where long-term wind datasets are rare and small-scale wind turbines for decentralized power
modeling is often oversimplified. 25-27 In particular, no
dedicated long-term study has been conducted to assess generation?
Mongo’s wind energy potential using statistically robust In response to these questions, several hypotheses are
methods and decade-long data series. formulated:
This study aims to fill that gap by conducting a (i) The availability of 11 years of data allows for
comprehensive analysis of Mongo’s wind potential using statistically reliable wind speed estimation using
data collected over an 11-year period (2012 – 2022). Weibull and entropy-based models

Volume 22 Issue 6 (2025) 48 doi: 10.36922/AJWEP025070039