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Implementation of acceleration strategies from mathematics and computational sciences for optimizing energy system models

This research project aims towards utilizing the full potential of parallel computing on HPC with decentralized memory architecture for the application to optimizing energy system models.

Within BEAM-ME a consortium of researchers from different research fields (system analysis, mathematics, operations research and informatics) develop new strategies to increase the computational performance of energy system models and to transform energy system models for usage on high performance computing clusters. Within the project, an ESM will be applied on two of Germany’s fastest supercomputers. To further demonstrate the general application of named techniques on ESM, a model experiment is implemented as part of the project. Within this experiment up to six energy system models will jointly develop, implement and benchmark speed-up methods. Finally, continually collecting all experiences from the project and the experiment, identified efficient strategies will be documented and general standards for increasing computational performance and for applying ESM to high performance computing will be documented in a best-practice guide.


Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany
Project Coordinator

Forschungszentrum Jülich GmbH, Germany
JSC's contact person is Daniel Rohe

and four further organisations.

BEAM-ME is funded by the Federal Ministry for Economic Affairs and Energy’s 6th Energy Research Programme of the Federal Goverment under Grant Agreement 03ET4023A-F.

The grant period is Dezember 2015 until June 2019.

More detailed information about the project is available at the project's homepage.