About
The HPC4E project aims to apply the new exascale HPC techniques to energy industry simulations, customizing them, and going beyond the state-of-the-art in the required HPC exascale simulations for different energy sources: wind energy production and design, efficient combustion systems for biomass-derived fuels (biogas), and exploration geophysics for hydrocarbon reservoirs.
Goals
1. Apply the new exascale HPC techniques to improve exploration of 3 different energy industries : wind, biomass-derived fuels and geophysics for hydrocarbon reservoirs
2. Efficient use of the future 100 Petaflops and Exaflop systems
3. Benefit the energy sector from mature energy-oriented simulation toolsets
4. Benefit vendors from production-ready demonstrators that justify the need of supercomputers
Goals
1. Apply the new exascale HPC techniques to improve exploration of 3 different energy industries : wind, biomass-derived fuels and geophysics for hydrocarbon reservoirs
2. Efficient use of the future 100 Petaflops and Exaflop systems
3. Benefit the energy sector from mature energy-oriented simulation toolsets
4. Benefit vendors from production-ready demonstrators that justify the need of supercomputers
OBJECTIVES & FOCUS
WIND
- Design the best possible spatial design
for onshore & offshore wind farms
- Predict energy throughputs with local weather forecasts
- Enable using larger turbines
BIOMASS
- Describe performance of biomass fuel
blends on practical combustion
systems
- Improve design of combustion engines
GEOPHYSICS
- Exascale-level computational kernels.
- Exploration risk reduction through uncertainty quantification.
- Industry-driven benchmarks for geophysical imaging.
eXPECTED RESULTS
WIND
Wind farm design and short-term micro-scale wind simulations to forecast the daily power production and reduce CO2 targets.
BIOMASS
Predict the performance of different biomass-derived fuels in practical systems.
GEOPHYSICS
Obtain detailed images of deep hydrocarbon reservoirs.
Wind farm design and short-term micro-scale wind simulations to forecast the daily power production and reduce CO2 targets.
BIOMASS
Predict the performance of different biomass-derived fuels in practical systems.
GEOPHYSICS
Obtain detailed images of deep hydrocarbon reservoirs.
PROJECT DETAILS
The research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) and from
Brazilian Ministry of Science,Technology and Innovation through Rede Nacional de Pesquisa (RNP)
Grant Agreement n. No 689772
Contact
https://hpc4e.eu
hpc4e@bsc.es
linkedin.com/groups/8490807/profile
EUBrasilCloudFORUM is funded by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 689495.
Este projeto é resultante da 3a Chamada Coordenada BR-UE em Tecnologias da Informação e Comunicação (TIC), anunciada pelo Ministério da Ciência, Tecnologia e Inovação (MCTI), no âmbito to acordo de subvenção Número 689495.