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001     868666
005     20230207130532.0
024 7 _ |a G:(EU-Grant)824158
|d 824158
|2 CORDIS
024 7 _ |a G:(EU-Call)H2020-INFRAEDI-2018-1
|d H2020-INFRAEDI-2018-1
|2 CORDIS
024 7 _ |a corda__h2020::824158
|2 originalID
035 _ _ |a G:(EU-Grant)824158
150 _ _ |a Energy Oriented Center of Excellence : toward exascale for energy
|y 2019-01-01 - 2022-06-30
371 _ _ |a BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
|b BSC
|d Spain
|e http://www.bsc.es
|v CORDIS
371 _ _ |a University of Bath
|b University of Bath
|d United Kingdom
|e http://www.bath.ac.uk/
|v CORDIS
371 _ _ |a Max Planck Society
|b MPG
|d Germany
|e http://www.mpg.de/en
|v CORDIS
371 _ _ |a INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK
|d Poland
|v CORDIS
371 _ _ |a FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN NUERNBERG
|b FAU
|d Germany
|e http://www.uni-erlangen.de
|v CORDIS
371 _ _ |a FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
|b Fraunhofer
|d Germany
|e http://www.fraunhofer.de
|v CORDIS
371 _ _ |a INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
|b INRIA
|d France
|e http://www.inria.fr
|v CORDIS
371 _ _ |a CNRS - Institut des Sciences Biologiques
|b INSB
|d France
|e http://www.cnrs.fr/insb/
|v CORDIS
371 _ _ |a Centre Europeen De Recherche Et De Formation Avancee En Calcul Scientifique
|b CERFACS
|d France
|e http://www.cerfacs.fr/
|v CORDIS
371 _ _ |a National Agency For New Technologies, Energy and Sustainable Economic Development
|b ENEA
|d Italy
|e http://www.enea.it/en
|v CORDIS
371 _ _ |a Atomic Energy and Alternative Energies Commission
|b CEA
|d France
|e http://www.cea.fr/
|v CORDIS
371 _ _ |a DATADIRECT NETWORKS FRANCE
|d France
|e http://ddn.com
|v CORDIS
371 _ _ |a National Research Council
|b CNR
|d Italy
|e http://www.cnr.it/sitocnr/home.html
|v CORDIS
371 _ _ |a Forschungszentrum Jülich
|b Forschungszentrum Jülich
|d Germany
|e https://www.ptj.de/
|v CORDIS
371 _ _ |a CENTRO DE INVESTIGACIONES ENERGETICAS, MEDIOAMBIENTALES Y TECNOLOGICAS-CIEMAT
|b CIEMAT
|d Spain
|e http://www.ciemat.es
|v CORDIS
371 _ _ |a IFP Energies nouvelles
|b IFPEN
|d France
|e http://www.ifpenergiesnouvelles.com
|v CORDIS
371 _ _ |a University of Trento
|b University of Trento
|d Italy
|e http://www.unitn.it/en
|v CORDIS
371 _ _ |a Université Libre de Bruxelles
|b ULB
|d Belgium
|e http://www.ulb.ac.be/
|v CORDIS
372 _ _ |a H2020-INFRAEDI-2018-1
|s 2019-01-01
|t 2022-06-30
450 _ _ |a EoCoE-II
|w d
|y 2019-01-01 - 2022-06-30
510 1 _ |0 I:(DE-588b)5098525-5
|a European Union
|2 CORDIS
680 _ _ |a 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 will draw 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 will channel its efforts into 5 scientific Exascale challenges in the low-carbon sectors of Energy Meteorology, Materials, Water, Wind and Fusion. This multidisciplinary effort will 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. A world-class consortium of 18 complementary partners from 7 countries will form a unique network of expertise in energy science, scientific computing and HPC, including 3 leading European supercomputing centres. New modelling capabilities in selected energy sectors will be created at unprecedented scale, demonstrating the potential benefits to the energy industry, such as 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 will provide a high-visibility platform for high-performance computational energy science, cross-fertilized through close working connections to the EERA and EUROfusion consortia.
909 C O |o oai:juser.fz-juelich.de:868666
|p authority:GRANT
|p authority
970 _ _ |a oai:dnet:corda__h2020::0e2709db138b0e2f81bf2a0f67369210
980 _ _ |a G
980 _ _ |a CORDIS
980 _ _ |a AUTHORITY

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