HPCWE | High performance computing for wind energy

Summary
Wind as a clean and renewable alternative to fossil fuels has become an increasingly important contributor to the energy portfolio of both Europe and Brazil. At almost every stage in wind energy exploitation ranging from wind turbine design, wind resource assessment to wind farm layout and operations, the application of HPC is a must. The goal of HPCWE is to address the key open challenges in applying HPC on wind energy, including efficient use of HPC resources in wind turbine simulations, accurate integration of meso- and micro-scale simulations, and optimization. The HPCWE consortium consists of 13 partners representing the top academic institutes, HPC centres and industries in Europe and Brazil. By exploring collaborations between Europe and Brazil, this consortium will develop novel algorithms, implement them in state-of-the-art codes and test the codes in academic and industrial cases to benefit the wind energy industry and research in both Europe and Brazil.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/828799
Start date: 01-06-2019
End date: 30-11-2021
Total budget - Public funding: 2 195 651,25 Euro - 1 995 651,00 Euro
Cordis data

Original description

Wind as a clean and renewable alternative to fossil fuels has become an increasingly important contributor to the energy portfolio of both Europe and Brazil. At almost every stage in wind energy exploitation ranging from wind turbine design, wind resource assessment to wind farm layout and operations, the application of HPC is a must. The goal of HPCWE is to address the key open challenges in applying HPC on wind energy, including efficient use of HPC resources in wind turbine simulations, accurate integration of meso- and micro-scale simulations, and optimization. The HPCWE consortium consists of 13 partners representing the top academic institutes, HPC centres and industries in Europe and Brazil. By exploring collaborations between Europe and Brazil, this consortium will develop novel algorithms, implement them in state-of-the-art codes and test the codes in academic and industrial cases to benefit the wind energy industry and research in both Europe and Brazil.

Status

CLOSED

Call topic

FETHPC-01-2018

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.2. EXCELLENT SCIENCE - Future and Emerging Technologies (FET)
H2020-EU.1.2.2. FET Proactive
H2020-FETHPC-2018-2020
FETHPC-01-2018 International Cooperation on HPC