Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections

This study enhances wind energy resource assessment under climate change by applying a robust bias correction framework to NEX-GDDP-CMIP6 projections for ten wind farm stations across Africa at 150-m hub heights. We assessed wind speed, wind power density, variability, and capacity factor under SSP2-4.5 and SSP5-8.5 scenarios for 2041–2070 and 2071–2100. Model performance shows regional disparities, with higher accuracy in East and Southern Africa (correlations 0.86–0.96) than in North and West Africa (correlations 0.63–0.73). Baseline analysis highlights North Africa’s Sahara-Sahel and East Africa’s highlands as high-potential regions (6–8 m/s, 100–300 W/m 2 ), while Central and West Africa exhibit lower resources (1–3 m/s, <50 W/m 2 ). Weibull-based bias correction reduces errors to near-zero (±0.017 m/s), achieving correlations above 0.7 and up to 70% reduction in root mean square error (RMSE), with East African stations showing the greatest error reduction. Future projections indicate significant regional and seasonal variability. East African coastal stations (Lamu, Zanzibar) and selected West African sites project capacity factor increases over 30% and wind power density gains of 80–90% under SSP5-8.5, while North African stations face minimal or negative changes. Seasonal trends show West Africa’s winter gains (+23.5% wind speed, +90% power density) contrasted by autumn declines, and North Africa’s summer improvements offset by winter reductions. Wind speed variability decreases at some stations, aiding grid stability, but increases at others, requiring advanced forecasting. Exceptional winter capacity factor gains (>100%) highlight East and West African potential. This study provides guidance for wind farm site selection, supporting Africa’s renewable energy transition. • Bias-corrected CMIP6 enhances African wind projections at 150m hub height • East/West Africa project >80% wind power density gains under SSP5-8.5 • North Africa shows minimal/negative wind changes in future scenarios • Seasonal trends: Winter gains in West Africa (+90% power density) • Capacity factors rise >30% in East African coastal sites by 2100

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Journal
Cleaner Engineering and Technology
Published
2026-01-08
DOI
https://doi.org/10.1016/j.clet.2026.101145
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections

Paul Adigun, Akinwale T. Ogunrinde, Syed Shameer, Dairaku Koji et al.
Cleaner Engineering and Technology
Integrated Energy Systems Optimization
article

Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections

Paul Adigun, Akinwale T. Ogunrinde, Syed Shameer, Dairaku Koji, Salman Zare, Xian Xue
article en

Abstract

This study enhances wind energy resource assessment under climate change by applying a robust bias correction framework to NEX-GDDP-CMIP6 projections for ten wind farm stations across Africa at 150-m hub heights. We assessed wind speed, wind power density, variability, and capacity factor under SSP2-4.5 and SSP5-8.5 scenarios for 2041–2070 and 2071–2100. Model performance shows regional disparities, with higher accuracy in East and Southern Africa (correlations 0.86–0.96) than in North and West Africa (correlations 0.63–0.73). Baseline analysis highlights North Africa’s Sahara-Sahel and East Africa’s highlands as high-potential regions (6–8 m/s, 100–300 W/m 2 ), while Central and West Africa exhibit lower resources (1–3 m/s, <50 W/m 2 ). Weibull-based bias correction reduces errors to near-zero (±0.017 m/s), achieving correlations above 0.7 and up to 70% reduction in root mean square error (RMSE), with East African stations showing the greatest error reduction. Future projections indicate significant regional and seasonal variability. East African coastal stations (Lamu, Zanzibar) and selected West African sites project capacity factor increases over 30% and wind power density gains of 80–90% under SSP5-8.5, while North African stations face minimal or negative changes. Seasonal trends show West Africa’s winter gains (+23.5% wind speed, +90% power density) contrasted by autumn declines, and North Africa’s summer improvements offset by winter reductions. Wind speed variability decreases at some stations, aiding grid stability, but increases at others, requiring advanced forecasting. Exceptional winter capacity factor gains (>100%) highlight East and West African potential. This study provides guidance for wind farm site selection, supporting Africa’s renewable energy transition. • Bias-corrected CMIP6 enhances African wind projections at 150m hub height • East/West Africa project >80% wind power density gains under SSP5-8.5 • North Africa shows minimal/negative wind changes in future scenarios • Seasonal trends: Winter gains in West Africa (+90% power density) • Capacity factors rise >30% in East African coastal sites by 2100

Cleaner Engineering and TechnologyVol. 30
University of Tsukuba (JP), Chinese Academy of Sciences (CN), University of Tehran (IR), Northwest Institute of Eco-Environment and Resources (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Integrated Energy Systems Optimization
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