If you are an energy developer dealing with high risk in new markets — this project developed a long-term optimization model that identifies least-cost investment strategies for infrastructure up to the year 2063. This allows you to plan battery and hydrogen storage locations with higher precision.
AI-Driven Infrastructure Planning Tool for Water, Energy, and Food Systems in Africa
Imagine trying to build a city's power and water grid without knowing if there will be enough rain or food for the next 40 years. This tool acts like a giant digital crystal ball that balances electricity, water, and farming needs together. It helps planners pick the cheapest and most reliable spots to build batteries and dams so they don't waste money on infrastructure that fails when the climate changes.
What needed solving
Infrastructure investors and governments in Sub-Saharan Africa lack integrated data to plan energy, water, and food systems. This leads to expensive, inefficient projects that may fail due to climate change or population growth.
What was built
A digital platform (observatory) with APIs for CLEWs data and a soft-linked optimization model combining OSeMOSYS and OnSSET for infrastructure planning.
Who needs this
Who can put this to work
If you are an irrigation company dealing with unpredictable water availability in the Tana or Volta basins — this project developed a digital platform with APIs for multi-source data. You can use these climate projections to ensure your water infrastructure remains functional under different weather scenarios.
If you are an investment fund dealing with the need for climate-resilient assets — this project developed a WEF nexus digital engagement tool. This helps you verify if a proposed project is actually the most cost-effective option for the region's long-term needs.
Quick answers
What is the cost or price of the tool?
Based on available project data, no commercial pricing is listed as the project utilizes open-source modelling tools and data.
Can this be scaled to other regions beyond the Tana and Volta basins?
The project uses these two basins as examples to demonstrate optimal resource use, suggesting the methodology can be applied to other Sub-Saharan Africa regions.
Who owns the IP and how is it licensed?
The project is built on widely adopted, open-source modelling tools, implying a non-proprietary approach to the software components.
How does this help with government regulations?
It produces institutional, regulatory, and technical recommendations to help countries manage their transition to sustainable infrastructure.
When will the digital platform be available?
The project period runs until 2026-10-31, with deliverables including a first version and a second release of the digital platform.
Who built it
The consortium is heavily academic, consisting of 7 partners from 6 countries, including 3 universities and 2 research organizations. With a 0% industry ratio and only 1 SME, the project is driven by research excellence rather than immediate commercialization, focusing on open-source tools and capacity building in Africa.
Contact the Technical University of Delft (TU Delft) regarding the CLEWs observatory APIs.
Talk to the team behind this work.
Contact us to find partners for implementing these open-source WEF models in your region.