Energy Oriented Center of Excellence : toward exascale for energy

The Energy-oriented Centre of Excellence (EoCoE) applies cutting-edge computational methods in its mission to accelerate the transition to the production, storage, and management of clean, decarbonized energy. EoCoE is anchored in the High-Performance Computing (HPC) community and targets research institutes, key commercial players, and SMEs who develop and enable energy-relevant numerical models to be run on exascale supercomputers, demonstrating their benefits for low carbon energy technology. The present project draws on a successful proof-of-principle phase of EoCoE-I, where a large set of diverse computer applications from four such energy domains achieved significant efficiency gains thanks to its multidisciplinary expertise in applied mathematics and supercomputing. During this 2nd round, EoCoE-II channels its efforts into 5 scientific Exascale challenges in the low-carbon sectors of Energy Meteorology, Materials, Water, Wind, and Fusion. This multidisciplinary effort aims to harness innovations in computer science and mathematical algorithms within a tightly integrated co-design approach to overcome performance bottlenecks and to anticipate future HPC hardware developments.

New modeling capabilities in selected energy sectors are created at an unprecedented scale, demonstrating the potential benefits to the energy industry, such as the accelerated design of storage devices, high-resolution probabilistic wind, and solar forecasting for the power grid and quantitative understanding of plasma core-edge interactions in ITER-scale tokamaks. These flagship applications provide a high-visibility platform for high-performance computational energy science, cross-fertilized through close working connections to the EERA and EUROfusion consortia.

A world-class consortium of 18 complementary partners from 7 countries forms a unique network of expertise in Energy science, scientific computing and HPC, including 3 leading European supercomputing centers.

Start date: 2019-01-01
End date: 2022-06-30
Role: Partner
Origin: Foreign project
Funding: H2020