Multi-Input Modeling Approach to Assess the Impacts of Climate Change on Grand Inga Hydropower Potential

This study assesses the potential impact of climate change on hydropower generation, focusing on the Grand Inga hydropower project on the Congo River in the Democratic Republic of Congo. Utilizing a multi-input approach with a conceptual HEC-HMS hydrologic model, this research incorporates a new bias-corrected high-resolution daily downscaled dataset, NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP CMIP6), and its predecessor (CMIP5) under various climate scenarios. The hydropower generation at Inga Falls is simulated using a hydropower model, considering observed and simulated daily flows for different climate models and emission scenarios. The results suggest that the Grand Inga project will be resilient to negative climate impacts during its initial phases (1–5). The system demonstrates security and insensitivity to adverse changes, both for existing (Phase 1–2) and planned (Phase 3–5) hydropower components. This study indicates that climate change effects become apparent only in later phases (6–8), with predominantly positive impacts, potentially increasing the generation potential of the hydropower system. Overall, the Grand Inga hydropower project appears robust against adverse climate influences throughout the majority of its development phases.

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Publication Details

Journal
Energies
Published
2025-04-03
DOI
https://doi.org/10.3390/en18071819
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
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article

Multi-Input Modeling Approach to Assess the Impacts of Climate Change on Grand Inga Hydropower Potential

Musandji Fuamba, Ånund Killingtveit, Salomon Salumu Zahera
Energies
Water-Energy-Food Nexus Studies
article

Multi-Input Modeling Approach to Assess the Impacts of Climate Change on Grand Inga Hydropower Potential

Musandji Fuamba, Ånund Killingtveit, Salomon Salumu Zahera
article en

Abstract

This study assesses the potential impact of climate change on hydropower generation, focusing on the Grand Inga hydropower project on the Congo River in the Democratic Republic of Congo. Utilizing a multi-input approach with a conceptual HEC-HMS hydrologic model, this research incorporates a new bias-corrected high-resolution daily downscaled dataset, NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP CMIP6), and its predecessor (CMIP5) under various climate scenarios. The hydropower generation at Inga Falls is simulated using a hydropower model, considering observed and simulated daily flows for different climate models and emission scenarios. The results suggest that the Grand Inga project will be resilient to negative climate impacts during its initial phases (1–5). The system demonstrates security and insensitivity to adverse changes, both for existing (Phase 1–2) and planned (Phase 3–5) hydropower components. This study indicates that climate change effects become apparent only in later phases (6–8), with predominantly positive impacts, potentially increasing the generation potential of the hydropower system. Overall, the Grand Inga hydropower project appears robust against adverse climate influences throughout the majority of its development phases.

EnergiesVol. 18(7)
Norwegian University of Science and Technology (NO), Institut National du Bâtiment et des Travaux Publics (CD), Polytechnique Montréal (CA)
Openalex Percentile: Top 92%
Water-Energy-Food Nexus Studies
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Multi-Input Modeling Approach to Assess the Impacts of Climate Change on Grand Inga Hydropower Potential — Musandji Fuamba, Ånund Killingtveit, et al. · Energies (2025) | TGRS Research Map | TGRS