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Ongoing project

Tailored PyPSA Energy System Models for the Democratic Republic of the Congo: Implications for Hydrogen Export from Hydropower

PeriodJanuary 2026— Present
Organisation / contextForschungsstelle für Energienetze und Energiespeicher (FENES) · Part of H2Global Meets Africa Research Project

Publication

This publication is currently under review. The models are published in GitHub: https://github.com/timongeiss/pypsa-earth-drc-myopic (https://doi.org/10.5281/zenodo.22764154). The result data are published here: https://doi.org/10.5281/zenodo.22734263

Research objective

European demand for renewable hydrogen imports has increased interest in potential export regions with abundant renewable resources. However, detailed energy-system transition studies for the Democratic Republic of the Congo (DRC) remain scarce. This work develops a country-calibrated, spatially resolved PyPSA-Earth model that represents the existing electricity system, observed supply conditions, project availability, operational constraints, and on- and off-grid electrification. Sequential hourly optimizations for 2025, 2035, and 2050 prioritize domestic electricity demand before assessing renewable hydrogen exports of up to 4.0 Mt/a.

The results indicate that timely infrastructure deployment, rather than resource availability, is a key constraint. Meeting domestic demand in 2035 requires 8.3 GW of additional hydropower, while earlier availability of large Lower Congo projects reduces this requirement to about 4.4 GW and limits intermediate dispersed run-of-river development. Hydrogen exports primarily scale rather than restructure the 2050 system: at 4.0 Mt/a of hydrogen exports, reservoir capacity reaches 39.8 GW while system-level hydrogen costs remain around 2.1 EUR/kg at the domestic export boundary. The results support staged Lower Congo development, where hydropower projects serving domestic electrification can also provide the basis for later hydrogen-export expansion and associated public-private investment.

Project media

Numbered hydroelectric power plants, showing expansion potential in the DRC by model year and location.
The resulting PyPsa network for the year 2050, with line colors representing annual energy transmission, ranging from green for minimum values to red for maximum values. The minimum and maximum annual transmission limits are labeled.

Resources