Characterising CCS learning: The role of quantitative methods and alternative approaches

Nils Markusson and Hannah Chalmers

Technological Forecasting and Social Change, 2013, vol. 80, issue 7, 1409-1417

Abstract: A number of energy scenario studies have suggested that carbon capture and storage (CCS) could make a significant contribution to reducing global carbon dioxide (CO2) emissions. This would require efforts to ensure rapid development and deployment. Since there is limited experience of CCS systems, it is hard to define ‘business as usual’ development. This leads to significant uncertainty for policy makers and other stakeholders with regard to characterising potential CCS pathways and assessing the scope for and risks of acceleration.

Keywords: Carbon capture and storage (CCS); Innovation; Learning; Quantitative and qualitative methods (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:80:y:2013:i:7:p:1409-1417

DOI: 10.1016/j.techfore.2011.12.010

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