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Advanced MEMBranes and membrane assisted procEsses for pre- and post- combustion CO2 captuRe (MEMBER)

Country: Spain

Client: Funded by EU

Status: Ongoing

Project highlights



Tests realized in a Pilot Plant

The key objective of the MEMBER project is the scale-up and manufacturing of advanced materials and their test in novel membrane-based technologies that outperform current technologies for pre and post combustion CO2 capture in power plants as well as H2 generation with integrated CO2 capture. The tests will be performed in the same conditions of the final industrial application.
One of the main project objective is to overcome CCS market barriers with an ambitious set of CCS solutions, taking European industrial companies (Materials manufacturers, engineering companies and end users) to a leading position in the CCS market, generating economic growth and job opportunities.
Three prototypes will be designed and tested along the project:

  1. Prototype A, targeted for pre-combustion capture in power plants using MMMs at the 2MWth biomass gasifier of CENER (Spain) aimed for BIOCCS demonstration (KT in collaboration with Eindhoven University of Technology in charge for the design of gas cleaning unit for upgrading of syngas for downstream membrane separation)
  2. Prototype B targeted for post-combustion capture in power plants using MMM at the 8.8MW CHP facilities of Agroger (GALP, Portugal)
  3. Prototype C targeted for pure hydrogen production with integrated CO2 capture using MA-SER at the IFE-HyNor Hydrogen Technology Centre (Norway) under the supervision of ZEG POWER (KT in collaboration with Eindhoven University of Technology in charge for the design)

The project is funded by European Commission in the framework of Horizon2020 under the topic NMBP-20-2017 - High-performance materials for optimizing carbon dioxide capture. 
The project started on January 1st, 2018 and will be concluded on December 2021. The Consortium groups 17 Partners. Tecnalia is the Project Coordinator.



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 760944.


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