In this article, we assess the wind potential of the different administrative regions of Guinea. To do this, we use data from national weather stations covering a period of six years (2010–2015). The measurements were recorded every hour at a height of 10 meters above the ground. The analysis focuses on the characteristics of the average wind speed at different temporalities: monthly, annual and interannual. In order to model the velocity distributions, the data were fitted according to Weibull's law, and the shape and scale parameters were determined for each region. In addition, the study of the compass rose made it possible to identify the dominant directions and their associated frequencies in all the territories examined. The results indicate that the Conakry region has the highest wind potential, with average speeds above 3.5 m/s and an estimated power density of around 27 W/m². Analyses of wind characteristics reveal that August stands out as the most favourable month for wind energy development in all regions, while November has the least windy conditions. Statistically, the dominant wind directions vary according to the area: in Middle Guinea, Upper Guinea and Forest Guinea, the winds are mainly north-east and south-west, which reflects a significant spatial variability in air flows. On the other hand, in the Lower Guinea region, the wind shows an almost unidirectional trajectory, oriented from the southwest. In summary, the study highlights a marked regional disparity in Guinea's wind potential, with Conakry as the main attractive area for the development of wind capacity, supported by directional patterns and seasonal variability that guide operational and planning choices. These results provide a robust quantitative basis to guide investments and strategies for the deployment of wind technologies in the country.
| Published in | Science Journal of Energy Engineering (Volume 13, Issue 3) |
| DOI | 10.11648/j.sjee.20251303.15 |
| Page(s) | 144-153 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Wind Energy Potential, Weibull Distribution, Wind Speed Analysis, Wind Direction
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APA Style
Barry, S., Aidara, M. C., Sakouvogui, A., Sambou, V. (2025). Evaluation of the Wind Energy Potential of Guinea's Administrative Regions. Science Journal of Energy Engineering, 13(3), 144-153. https://doi.org/10.11648/j.sjee.20251303.15
ACS Style
Barry, S.; Aidara, M. C.; Sakouvogui, A.; Sambou, V. Evaluation of the Wind Energy Potential of Guinea's Administrative Regions. Sci. J. Energy Eng. 2025, 13(3), 144-153. doi: 10.11648/j.sjee.20251303.15
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Download@article{10.11648/j.sjee.20251303.15,
author = {Saidou Barry and Mohamed Cherif Aidara and Ansoumane Sakouvogui and Vincent Sambou},
title = {Evaluation of the Wind Energy Potential of Guinea's Administrative Regions
},
journal = {Science Journal of Energy Engineering},
volume = {13},
number = {3},
pages = {144-153},
doi = {10.11648/j.sjee.20251303.15},
url = {https://doi.org/10.11648/j.sjee.20251303.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20251303.15},
abstract = {In this article, we assess the wind potential of the different administrative regions of Guinea. To do this, we use data from national weather stations covering a period of six years (2010–2015). The measurements were recorded every hour at a height of 10 meters above the ground. The analysis focuses on the characteristics of the average wind speed at different temporalities: monthly, annual and interannual. In order to model the velocity distributions, the data were fitted according to Weibull's law, and the shape and scale parameters were determined for each region. In addition, the study of the compass rose made it possible to identify the dominant directions and their associated frequencies in all the territories examined. The results indicate that the Conakry region has the highest wind potential, with average speeds above 3.5 m/s and an estimated power density of around 27 W/m². Analyses of wind characteristics reveal that August stands out as the most favourable month for wind energy development in all regions, while November has the least windy conditions. Statistically, the dominant wind directions vary according to the area: in Middle Guinea, Upper Guinea and Forest Guinea, the winds are mainly north-east and south-west, which reflects a significant spatial variability in air flows. On the other hand, in the Lower Guinea region, the wind shows an almost unidirectional trajectory, oriented from the southwest. In summary, the study highlights a marked regional disparity in Guinea's wind potential, with Conakry as the main attractive area for the development of wind capacity, supported by directional patterns and seasonal variability that guide operational and planning choices. These results provide a robust quantitative basis to guide investments and strategies for the deployment of wind technologies in the country.
},
year = {2025}
}
TY - JOUR T1 - Evaluation of the Wind Energy Potential of Guinea's Administrative Regions AU - Saidou Barry AU - Mohamed Cherif Aidara AU - Ansoumane Sakouvogui AU - Vincent Sambou Y1 - 2025/09/13 PY - 2025 N1 - https://doi.org/10.11648/j.sjee.20251303.15 DO - 10.11648/j.sjee.20251303.15 T2 - Science Journal of Energy Engineering JF - Science Journal of Energy Engineering JO - Science Journal of Energy Engineering SP - 144 EP - 153 PB - Science Publishing Group SN - 2376-8126 UR - https://doi.org/10.11648/j.sjee.20251303.15 AB - In this article, we assess the wind potential of the different administrative regions of Guinea. To do this, we use data from national weather stations covering a period of six years (2010–2015). The measurements were recorded every hour at a height of 10 meters above the ground. The analysis focuses on the characteristics of the average wind speed at different temporalities: monthly, annual and interannual. In order to model the velocity distributions, the data were fitted according to Weibull's law, and the shape and scale parameters were determined for each region. In addition, the study of the compass rose made it possible to identify the dominant directions and their associated frequencies in all the territories examined. The results indicate that the Conakry region has the highest wind potential, with average speeds above 3.5 m/s and an estimated power density of around 27 W/m². Analyses of wind characteristics reveal that August stands out as the most favourable month for wind energy development in all regions, while November has the least windy conditions. Statistically, the dominant wind directions vary according to the area: in Middle Guinea, Upper Guinea and Forest Guinea, the winds are mainly north-east and south-west, which reflects a significant spatial variability in air flows. On the other hand, in the Lower Guinea region, the wind shows an almost unidirectional trajectory, oriented from the southwest. In summary, the study highlights a marked regional disparity in Guinea's wind potential, with Conakry as the main attractive area for the development of wind capacity, supported by directional patterns and seasonal variability that guide operational and planning choices. These results provide a robust quantitative basis to guide investments and strategies for the deployment of wind technologies in the country. VL - 13 IS - 3 ER -
Centre Internationale de Formation et de Recherche en Energie Solaire, Dakar, Sénégal; Department of Energy, Higher Institute Technology Mamou, Mamou, Guinea
Centre Internationale de Formation et de Recherche en Energie Solaire, Dakar, Sénégal
Department of Energy, Higher Institute Technology Mamou, Mamou, Guinea
Centre Internationale de Formation et de Recherche en Energie Solaire, Dakar, Sénégal
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