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EoCoE-II · Project

Supercomputing Tools That Speed Up Clean Energy Design and Weather Forecasting

energyTestedTRL 4Thin data (2/5)

Imagine you need to predict exactly how much solar or wind energy your power grid will get tomorrow — but your computer models take days to run and lack the detail you need. EoCoE-II built high-performance computing tools that let energy companies run these massive simulations on the world's fastest supercomputers, turning days of calculation into hours. They tackled five areas at once: weather forecasting for renewables, new energy storage materials, water power, wind energy, and fusion. Think of it as giving the energy industry a turbocharged calculator purpose-built for the clean energy transition.

By the numbers
5
Scientific exascale challenge areas addressed (meteorology, materials, water, wind, fusion)
24
Consortium partners across Europe
7
Countries represented in the consortium
3
Leading European supercomputing centres involved
4
Energy domains with proven efficiency gains from Phase I
25
Total project deliverables produced
The business problem

What needed solving

Energy companies waste significant resources on inaccurate renewable energy forecasts and slow material design cycles because their simulation tools cannot handle the computational scale needed for high-resolution modelling. Grid operators over-provision backup capacity due to poor wind and solar predictions, and battery developers spend months on physical material testing that could be done digitally. The clean energy transition demands faster, more accurate computational tools than current industry-standard software can deliver.

The solution

What was built

The project delivered a final code release covering simulation tools for 3 energy application areas, with full documentation and large-scale testing results. Across 25 total deliverables, the consortium produced optimized computational codes for energy meteorology (wind/solar forecasting), energy storage material design, water and wind energy modelling, and fusion plasma simulation — all designed to run on the next generation of exascale supercomputers.

Audience

Who needs this

Transmission system operators needing high-resolution renewable energy forecastsBattery and energy storage companies wanting to accelerate material discoveryWind farm developers requiring detailed wind simulation for site assessmentNational meteorological services providing energy weather forecastsFusion energy research facilities modelling plasma behaviour
Business applications

Who can put this to work

Renewable Energy Grid Operations
enterprise
Target: Transmission system operators and power grid companies

If you are a grid operator struggling with unreliable wind and solar forecasts that force you to keep expensive backup capacity running — this project developed high-resolution probabilistic wind and solar forecasting tools designed for exascale supercomputers. These models deliver forecasts at unprecedented resolution, helping you reduce backup generation costs and integrate more renewables into the grid. The tools were tested across 5 scientific challenge areas with 3 leading European supercomputing centres.

Battery and Energy Storage
mid-size
Target: Battery manufacturers and energy storage developers

If you are a storage device manufacturer spending months on trial-and-error material testing — this project created accelerated simulation tools for energy storage material design. By running atomic-level material simulations on supercomputers, you can screen candidate materials digitally before committing to expensive lab work. The consortium included 24 partners across 7 countries with deep expertise in materials modelling.

Wind Energy Development
enterprise
Target: Wind farm developers and turbine manufacturers

If you are a wind energy developer needing accurate site assessments but your current simulation tools cannot model complex terrain at high enough resolution — this project built wind energy simulation codes optimized for the next generation of supercomputers. Higher-resolution wind modelling means better turbine placement, more accurate yield predictions, and reduced investment risk. The codes were released with documentation and tested at large scale.

Frequently asked

Quick answers

What would it cost to use these simulation tools?

The simulation codes developed by EoCoE-II were released as open-source with documentation (see final code release deliverable). However, running them requires access to high-performance supercomputers, which typically involves compute-time allocations from European HPC centres like those in the consortium — costs vary by scale of simulation and provider.

Can these tools run at industrial scale today?

The final deliverable confirms testing at large scale on supercomputers. However, these tools are designed for exascale computing — the very largest machines available. Your organization would need access to an HPC facility, either through partnerships with one of the 3 leading European supercomputing centres in the consortium or through national HPC access programmes.

What is the IP situation — can we license or use this software?

The project produced a final code release with associated documentation, indicating open availability. As a publicly funded RIA project, the outputs are generally available under open-source or permissive licensing. Specific terms should be confirmed with the coordinating institution, CEA in France.

Which energy sectors does this actually cover?

EoCoE-II addressed 5 specific challenge areas: Energy Meteorology (solar and wind forecasting), Materials (energy storage design), Water (hydropower), Wind energy simulation, and Fusion (plasma modelling for tokamaks). Each area has dedicated simulation tools.

Is there ongoing support or has the project ended?

The project closed in June 2022, but the consortium of 24 partners from 7 countries — including 12 research organisations and 10 universities — has deep institutional roots. The project website (eocoe.eu) and connections to the EERA and EUROfusion consortia suggest continued community activity beyond the project's formal end.

How mature are the tools — are they ready for production use?

Based on available project data, EoCoE-II built on a successful proof-of-principle from EoCoE-I, where applications from 4 energy domains achieved significant efficiency gains. The final code release with large-scale testing suggests working software, though primarily validated in research settings rather than commercial production environments.

Consortium

Who built it

The 24-partner consortium across 7 countries (Belgium, Germany, Spain, France, Italy, Poland, UK) is heavily research-oriented: 12 research organisations and 10 universities, with only 2 industrial partners and zero SMEs — giving an industry ratio of just 8%. This is typical for a Centre of Excellence focused on pushing computational boundaries rather than near-market products. The coordination by CEA (France's atomic and alternative energy commission) signals strong public-sector research leadership. For a business looking to adopt these tools, the low industry presence means you would likely need to invest in adaptation and integration, but the 3 supercomputing centres in the consortium offer natural entry points for accessing the technology.

How to reach the team

CEA (Commissariat à l'énergie atomique et aux énergies alternatives) in France — reach out through their energy simulation or HPC departments

Next steps

Talk to the team behind this work.

Want to know if EoCoE-II simulation tools can cut your energy forecasting or material design costs? SciTransfer can connect you with the right team in the consortium — contact us for a tailored assessment.