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HPCWE

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High performance computing for wind energy

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 turb... see more

30/11/2021

THE UNIVERSITY OF...

2M€

Project Budget: 2M€

Project leader

THE UNIVERSITY OF NOTTINGHAM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 10 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2021-11-30

FETHPC-01-2018: International Cooperation on HPC Specific Challenge:The aim is to develop strategic partnership in HPC with Brazil and Mexico that en...

I+D

Cerrada does 7 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

10 Participantes

THE UNIVERSITY OF NOTTINGHAM

540.80K€ | Leader

UNIVERSITEIT TWENTE

247.50K€ | participant

TECHNICAL UNIVERSITY OF DENM...

242.71K€ | participant

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Project duration: 29 months Date Start: 2019-06-03
End date: 2021-11-30

Project leader

THE UNIVERSITY OF NOTTINGHAM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 2M€

participation deadline Sin fecha límite de participación.

Project 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.

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