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EU funding (€4,990,815): NanoMaterials Enhanced Membranes for Carbon Capture Hor 30 Sept 2016 EU Research and Innovation programme "Horizon"

Overview

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NanoMaterials Enhanced Membranes for Carbon Capture

Membrane separation processes can be applied to many capture processes from Pre-Combustion ( CO2-H2 / CO2-CH4 separation) to Post-Combustion (CO2-N2) and Oxyfuel (O2-N2) and are generally endowed with high flexibility and potentially low operative costs with respect to other capture methods. However the current materials are still lacking of separation performance and durability suitable for an efficient and economically feasible exploitation of such technology. The Project NANOMEMC2 aims in overcoming the current limitation focusing on the development of innovative CO2 selective membranes with high flux and selectivity suitable for application to both Pre and Post-combustion Capture processes. To that aim nanocomposite or mixed matrix membranes will be considered with particular focus on facilitated transport mechanisms promoted by carrier attached to the polymer or the filler. Graphene based nanosheets and cellulose nanofibres will be studied in detail considering their possible modification to improve polymer compatibility and affinity with CO2. A new generation of Facilitated Transport Mixed Matrix ( FTMM) membranes for CCS applications will be developed with increased CO2 flux and selectivity beyond the current target for industrial deployment of carbon capture membrane technologies


Funded Companies:

Company name Funding amount
Alma Mater Studiorum - Universita Di Bologna €653,750
BP International Ltd. €174,000
Colacem S.p.A. €291,250
Fujifilm Manufacturing Europe B.V. €748,125
GNext SAS Di Simone Ligi & C €0.00
Graphene-XT Srl €290,543
Inofib SAS €290,688
Norges Teknisk-Naturvitenskapelige Universitet Ntnu €678,569
PNO Innovation Srl €397,375
Supren GmbH €490,000
The University of Edinburgh €651,625
The University of Sheffield €324,891

Source: https://cordis.europa.eu/project/id/727734

The filing refers to a past date, and does not necessarily reflect the current state.