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HPC for Energy

Objective

This 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.
For wind energy industry HPC is a must. The competitiveness of wind farms can be guaranteed only with accurate wind resource assessment, farm design and short-term micro-scale wind simulations to forecast the daily power production. The use of CFD LES models to analyse atmospheric flow in a wind farm capturing turbine wakes and array effects requires exascale HPC systems.
Biogas, i.e. biomass-derived fuels by anaerobic digestion of organic wastes, is attractive because of its wide availability, renewability and reduction of CO2 emissions, contribution to diversification of energy supply, rural development, and it does not compete with feed and food feedstock. However, its use in practical systems is still limited since the complex fuel composition might lead to unpredictable combustion performance and instabilities in industrial combustors. The next generation of exascale HPC systems will be able to run combustion simulations in parameter regimes relevant to industrial applications using alternative fuels, which is required to design efficient furnaces, engines, clean burning vehicles and power plants.
One of the main HPC consumers is the oil & gas (O&G) industry. The computational requirements arising from full wave-form modelling and inversion of seismic and electromagnetic data is ensuring that the O&G industry will be an early adopter of exascale computing technologies. By taking into account the complete physics of waves in the subsurface, imaging tools are able to reveal information about the Earth’s interior with unprecedented quality.

Field of science

  • /natural sciences/mathematics/pure mathematics/mathematical analysis/differential equations/partial differential equations
  • /natural sciences/chemical sciences/electrochemistry/electrolysis
  • /engineering and technology/environmental engineering/energy and fuels/renewable energy/windpower
  • /natural sciences/earth and related environmental sciences/geophysics
  • /engineering and technology/industrial biotechnology/biomaterials/biofuels
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/chemical sciences/organic chemistry/hydrocarbons

Call for proposal

H2020-EUB-2015
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
Address
Calle Jordi Girona 31
08034 Barcelona
Spain
Activity type
Research Organisations
EU contribution
€ 493 562,50

Participants (7)

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
France
EU contribution
€ 449 478,75
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
Activity type
Research Organisations
UNIVERSITY OF LANCASTER

Participation ended

United Kingdom
EU contribution
€ 77 323,03
Address
Bailrigg
LA1 4YW Lancaster
Activity type
Higher or Secondary Education Establishments
CENTRO DE INVESTIGACIONES ENERGETICAS, MEDIOAMBIENTALES Y TECNOLOGICAS-CIEMAT
Spain
EU contribution
€ 246 800
Address
Avenida Complutense 40
28040 Madrid
Activity type
Research Organisations
REPSOL SA
Spain
EU contribution
€ 195 312,50
Address
Calle Mendez Alvaro 44
28045 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
IBERDROLA RENOVABLES ENERGIA SA
Spain
EU contribution
€ 198 600
Address
Calle Menorca 19/13
46023 Valencia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
TOTAL S.A.
France
EU contribution
€ 199 312,50
Address
Place Jean Millier 2
92400 Courbevoie
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
QUEEN MARY UNIVERSITY OF LONDON
United Kingdom
EU contribution
€ 137 786,97
Address
327 Mile End Road
E1 4NS London
Activity type
Higher or Secondary Education Establishments