Objective
The process industries and other crude oil consuming sectors are heavily dependent on fossil inputs for both carbon feedstock and energy, with the consequential CO2 emission problems and import dependency as a result. To be prepared for a future with significantly reduced emissions they are seeking alternative carbon sources to replace traditional fossil fuels.
The objective of the CarbonNext project is to evaluate the potential use of CO2/CO and non-conventional fossil natural resources as feedstock for the process industry in Europe. The work will examine the existing and expected sources of CO2 and CO as well as non-conventional fossil natural resources such as shale gas, tar sands, coal bed methane, gas to liquid, and coal to liquid technologies.
Results of the project will include the identification of value chains within processes and where industrial symbiosis can be valuable (chemistry, cement, steel, etc.). The CarbonNext project will inform, as a basis for decision-making, Europe’s SME’s, large industry and policymakers with an enhanced understanding of the impact and opportunities for new sources of carbon for the processing industry. CarbonNext will primarily focus on new sources of carbon as a feedstock and secondarily the impact on energy availability, price and emissions.
The CarbonNext consortium brings together three of the leading organisations in the field of carbon dioxide/carbon monoxide utilisation. The knowledge base that each member brings is as a leader in the field and is therefore exemplary. CarbonNext will build on the project team achievements in the FP7 project SCOT (Smart CO2 Transformations), the BMBF funded coordination project CO2Net, the CO2Chem network and many climate and energy related projects in Europe and for the European Commission.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural scienceschemical sciencesinorganic chemistryinorganic compounds
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energycoal
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energynatural gas
- engineering and technologyenvironmental engineeringcarbon capture engineering
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energyhydrogen energy
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Programme(s)
Funding Scheme
CSA - Coordination and support actionCoordinator
60486 Frankfurt
Germany