1Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), Togo
2Université de Lomé (UL) - TOGO, Togo
BibTex Citation Data :
@article{IJRED61680, author = {LAMBONI Batablinlè}, title = {Future Wind Speed and Energy Potential in Togo: Projections from CORDEX-Africa Models}, journal = {International Journal of Renewable Energy Development}, volume = {0}, number = {0}, year = {2025}, keywords = {Togo; wind energy potential; MERRA-2; CORDEX-Africa; Regional Climate Models; bias correction; model evaluation; seasonal wind variability; wind power}, abstract = { This study combines model evaluation and seasonal analysis to assess Togo’s wind energy potential. First, the accuracy of MERRA-2 reanalysis and bias-corrected CORDEX-Africa Regional Climate Models (RCMs) was evaluated against ground observations using Nash–Sutcliffe efficiency, R², and other metrics. MERRA-2 demonstrated excellent agreement with observations (R² = 0.96), and corrected RCMs achieved similarly high correlations across regions: Maritime (0.96), Plateaux (0.93), Centrale (0.91), Kara (0.94), and Savanes (0.96). Reliable models (MIROC, MPI, ICHEC) reproduce the persistent north–south gradient, with northern sites reaching 10–12 m/s at ≥90 m, central sites 6.5–8 m/s, and southern sites 3–5 m/s, with localized enhancements from coastal breezes and orographic effects. Monthly and seasonal analysis reveals peak wind speeds from June to September, with July’s national mean at 4.18 m/s and the north consistently outperforming other zones. Projected wind power density confirms strong seasonality: the north experiences a 23 % drop from July to December, the center a similar but steadier decline, and the south and coast smaller reductions (14 % and 11 %), indicating greater stability and offshore potential. From January to June, density rises from 82.3 W/m² to a June peak of 129.4 W/m², exceeding 270 W/m² in optimal northern and coastal sites. These results highlight both the spatial concentration of high wind resources and the importance of seasonal planning, hybridization, and region-specific deployment strategies. }, doi = {10.61435/ijred.2025.61680}, url = {https://ijred.cbiore.id/index.php/ijred/article/view/61680} }
Refworks Citation Data :
This study combines model evaluation and seasonal analysis to assess Togo’s wind energy potential. First, the accuracy of MERRA-2 reanalysis and bias-corrected CORDEX-Africa Regional Climate Models (RCMs) was evaluated against ground observations using Nash–Sutcliffe efficiency, R², and other metrics. MERRA-2 demonstrated excellent agreement with observations (R² = 0.96), and corrected RCMs achieved similarly high correlations across regions: Maritime (0.96), Plateaux (0.93), Centrale (0.91), Kara (0.94), and Savanes (0.96). Reliable models (MIROC, MPI, ICHEC) reproduce the persistent north–south gradient, with northern sites reaching 10–12 m/s at ≥90 m, central sites 6.5–8 m/s, and southern sites 3–5 m/s, with localized enhancements from coastal breezes and orographic effects. Monthly and seasonal analysis reveals peak wind speeds from June to September, with July’s national mean at 4.18 m/s and the north consistently outperforming other zones. Projected wind power density confirms strong seasonality: the north experiences a 23 % drop from July to December, the center a similar but steadier decline, and the south and coast smaller reductions (14 % and 11 %), indicating greater stability and offshore potential. From January to June, density rises from 82.3 W/m² to a June peak of 129.4 W/m², exceeding 270 W/m² in optimal northern and coastal sites. These results highlight both the spatial concentration of high wind resources and the importance of seasonal planning, hybridization, and region-specific deployment strategies.
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