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HPCWE SIGNED

High performance computing for wind energy

Total Cost €

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EC-Contrib. €

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Partnership

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Project "HPCWE" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF NOTTINGHAM 

Organization address
address: University Park
city: NOTTINGHAM
postcode: NG7 2RD
website: www.nottingham.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 2˙195˙651 €
 EC max contribution 1˙995˙651 € (91%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call H2020-FETHPC-2018
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2021-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF NOTTINGHAM UK (NOTTINGHAM) coordinator 540˙800.00
2    UNIVERSITAET STUTTGART DE (STUTTGART) participant 315˙625.00
3    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) participant 250˙000.00
4    UNIVERSITEIT TWENTE NL (ENSCHEDE) participant 247˙500.00
5    DANMARKS TEKNISKE UNIVERSITET DK (KGS LYNGBY) participant 242˙712.00
6    ELECTRICITE DE FRANCE FR (PARIS 08) participant 184˙250.00
7    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) participant 110˙388.00
8    VORTEX FACTORIA DE CALCULS SL ES (BARCELONA) participant 104˙375.00
9    UNIVERSIDADE DE SAO PAULO BR (SAO PAULO SP) participant 0.00
10    UNIVERSIDADE ESTADUAL DE CAMPINAS BR (CAMPINAS SP) participant 0.00
11    UNIVERSIDADE FEDERAL DE SANTA CATARINA. BR (FLORIANOPOLIS) participant 0.00

Map

 Project objective

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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The information about "HPCWE" are provided by the European Opendata Portal: CORDIS opendata.

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