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EoCoE in the CNRS press release about blue energy

Using computer simulations to harvest “blue energy”
A potential source of renewable energy, known as osmotic power or “blue energy,” lies dormant in estuaries where river water and seawater meet. The salinity difference between the two types of water can in fact be converted into electrical energy, while the water can conversely be desalinated by injecting energy into the system. Researchers from the CNRS, Sorbonne Université, and l’Université Toulouse III – Paul Sabatier1 have just demonstrated the predictive power of molecular simulations, in an effort to improve processes for blue energy production and desalination. This research2 was published in Physical Review X on April 27, 2018.
Part of the Maison de la simulation (CNRS/CEA/INRIA/Université Paris-Sud/Université de Versailles Saint-Quentin-en-Yvelines), the laboratoire Physico-chimie des électrolytes et nanosystèmes interfaciaux (CNRS/Sorbonne Université), and the Centre inter-universitaire de recherche et d’ingénierie des matériaux (CNRS/Université Toulouse III-Paul Sabatier/INP Toulouse).
With support from RS2E (network led by the CNRS), the city of Paris, the EoCoE European project, and the IONACES ERC project.
Blue Energy and Desalination with Nanoporous Carbon Electrodes: Capacitance from Molecular Simulations to Continuous Models. Michele Simoncelli, Nidhal Ganfoud, Assane Sene, Matthieu Haefele, Barbara Daffos, Pierre-Louis Taberna, Mathieu Salanne, Patrice Simon, and Benjamin Rotenberg. Physical Review X, April 27, 2018.
CNRS Researcher | Benjamin Rotenberg | T 01 44 27 22 03
CNRS Press Office | François Maginiot | T 01 44 96 43 09 |
More websites about this news mentionning EoCoE: 
Water desalination device: chloride and sodium ions in solution (yellow and blue spheres, respectively) migrate toward electrically charged carbon electrodes (in gray).
© Michele Simoncelli

EoCoE is a European Horizon 2020 funded project of Centre of Excellence in computing applications. It is designed to enhance numerical simulation efficiency in the international context of the High Performance Computing (HPC) challenges. It focusses its application scope towards low carbon energy domains.

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