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Quantitative Assessment of the Impact of the Strategic Energy Technology Plan on the European Power Sector

The goal of this analysis is to capture the effect of increasing research, development and demonstration (RD&D) efforts for a set of low-carbon power technologies on the development of the European energy sector. The report finds that an increase in research efforts on a global level, that for the EU are in line with the RD&D investments proposed in the context of the European Strategic Energy Technology Plan, will contribute to reducing the costs of currently less mature low-carbon technologies, and therefore accelerate their market entry. Following from the lower technology investment costs, the economic rate of return of the additional SET-Plan investments in the EU would be positive, reaching around 15% for a time horizon between 2010 and 2030. The cumulative (discounted) benefit of the RD&D investments would be negative in early years before turning positive around the year 2020 and remaining so thereafter.

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Paper provided by Joint Research Centre (Seville site) in its series JRC Working Papers with number JRC61065.

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Length: 48 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:ipt:iptwpa:jrc61065
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  1. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
  2. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  3. Kenneth J. Arrow, 1962. "The Economic Implications of Learning by Doing," Review of Economic Studies, Oxford University Press, vol. 29(3), pages 155-173.
  4. Tobias Wiesenthal & Guillaume Leduc & Hans-Gunther Schwarz & Karel Haegeman, 2009. "RandD Investment in the Priority Technologies of the European Strategic Energy Technology Plan," JRC Working Papers JRC52225, Joint Research Centre (Seville site).
  5. Szabo, Laszlo & Hidalgo, Ignacio & Ciscar, Juan Carlos & Soria, Antonio, 2006. "CO2 emission trading within the European Union and Annex B countries: the cement industry case," Energy Policy, Elsevier, vol. 34(1), pages 72-87, January.
  6. Kypreos, Socrates, 2007. "A MERGE model with endogenous technological change and the cost of carbon stabilization," Energy Policy, Elsevier, vol. 35(11), pages 5327-5336, November.
  7. Tooraj Jamasb and Michael Pollitt, 2005. "Electricity Market Reform in the European Union: Review of Progress toward Liberalization & Integration," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 11-42.
  8. Markard, Jochen & Truffer, Bernhard, 2006. "Innovation processes in large technical systems: Market liberalization as a driver for radical change?," Research Policy, Elsevier, vol. 35(5), pages 609-625, June.
  9. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-96, September.
  10. Isoard, Stephane & Soria, Antonio, 2001. "Technical change dynamics: evidence from the emerging renewable energy technologies," Energy Economics, Elsevier, vol. 23(6), pages 619-636, November.
  11. Jamasb, T. & Köhler, J., 2007. "Learning Curves For Energy Technology and Policy Analysis: A Critical Assessment," Cambridge Working Papers in Economics 0752, Faculty of Economics, University of Cambridge.
  12. Sahal, Devendra, 1985. "Technological guideposts and innovation avenues," Research Policy, Elsevier, vol. 14(2), pages 61-82, April.
  13. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
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