Towards Exascale HPC and Data Intensive Algorithms in the Energy Industry
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B2: Clean Energy".
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 4829
Special Issue Editors
Interests: fluid mechanics; computational fluid dynamics; turbulence modelling; large-eddy simulations; wind energy; aerodynamics; combustion; multi-phase flows; heat transfer
Interests: computational fluid dynamic applied to various fields in basic science and engineering
Special Issue Information
Dear Colleagues,
HPC resources have undergone a dramatic transformation, with an explosion on the available parallelism and the use of special purpose processors. The next technological milestone will be exaFlops supercomputers (1018 Floating Point Operations Per Second). These computers will have tenths to hundreds of millions of cores. Therefore, it is mandatory to develop algorithms and physical models that are able to efficiently exploit this massive parallelism. The present Special Issue explores different exascale candidate problems for the energy industry, targeting possible novel algorithms and possible modeling approaches. In this issue, we will focus on the following problems of the energy industry, specially targeting oil and gas, biofuel and wind energy:
- Geophysical exploration for subsalt hydrocarbons
- Reservoir modeling in naturally fractured reservoirs
- Multiphase flows in pipelines with heavy oil
- Molecular modeling of catalysts for heavy oil refining
- Combustion simulation tools to optimize fuel–biofuel design and performance towards more sustainable and greener transport systems
- Develop methodologies to understand and predict the multi-scale atmospheric motion relevant for the operation and performance of wind farms in complex wind situations
Dr. Oriol Lehmkuhl
Guest Editor
Prof. Dr. Jaime Klapp
Dr. Jose Maria Cela
Co-Gest Editors
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Keywords
- HPC
- oil and gas
- biofuels
- combustion
- wind energy
- CFD
- reservoir modeling
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