Objective
The aim of the ACCSEPT project is to contribute to the timely and responsible application of CO2 capture and storage (CCS) by measuring EU social acceptance of CCS; assisting with the establishment of CCS guidelines for the EU ETS; and by identifying and addressing gaps in existing socio-economic studies.
The ACCSEPT project will achieve these objectives through:
- A process of measurable, phased, and focused stakeholder engagement.
- The project team's own expert evaluations based upon its current comprehensive knowledge base of CCS and understanding of the key knowledge gaps for EU-level policy making in this area.
- A process for filling in gaps in overall CCS knowledge.
- Production of targeted recommendations that will make outputs of the project useful for solving difficult CCS challenges.
Our team represents an array of expertise:
-DNV is a global certifier within a broad range of industrial activities and standards, and is a world leader in verification for GHG emissions trading schemes. DNV conducts R&D in CCS and sustainable energy at its strategic research centre.
-Baker & McKenzie is a leader in environmental law and one of the world's experts on legal issues related to emissions trading and has been invaluable in the development of several trading systems.
-ECN is a research institution with technological expertise on CCS and technical experts in economic and policy aspects of GHG mitigation.
-IEEP focuses on the implementation of European regulations and is an independent non-profit institute and has close relationships with a range of stakeholders whom it regularly consults.
-Tyndall Centre is one of the world's leading research centres on climate issues, spanning activities from predictive climate modelling to social science studies.
Fields of science
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.
- social sciencespolitical sciencespolitical policiescivil societynongovernmental organizations
- social scienceseconomics and businesseconomics
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energycoal
- social sciencessociologyanthropologyscience and technology studies
- social scienceslaw
Call for proposal
FP6-2004-SSP-4
See other projects for this call
Funding Scheme
SSA - Specific Support ActionCoordinator
HOVIK
Norway