Nuclear versus Coal plus CCS: A Comparison of Two Competitive Base-load Climate Control Options
In this paper we analyze the relative importance and mutual behavior of two competing base-load electricity generation options that each are capable of contributing significantly to the abatement of global CO2 emissions: nuclear energy and coal-based power production complemented with CO2 capture and storage (CCS). We also investigate how, in scenarios from an integrated assessment model that simulates the economics of a climate-constrained world, the prospects for nuclear energy would change if exogenous limitations on the spread of nuclear technology were relaxed. Using the climate change economics model WITCH we find that until 2050 the resulting growth rates of nuclear electricity generation capacity become comparable to historical rates observed during the 1980s. Given that nuclear energy continues to face serious challenges and contention, we inspect how extensive the improvements of coal-based power equipped with CCS technology would need to be if our model is to significantly scale down the construction of new nuclear power plants.
|Date of creation:||Nov 2009|
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- Bosetti, Valentina & Carraro, Carlo & Massetti, Emanuele & Tavoni, Massimo, 2007.
"Optimal Energy Investment and R&D Strategies to Stabilise Greenhouse Gas Atmospheric Concentrations,"
CEPR Discussion Papers
6549, C.E.P.R. Discussion Papers.
- Carlo Carraro & Valentina Bosetti & Emanuele Massetti & Massimo Tavoni, 2007. "Optimal Energy Investment and R&D Strategies to Stabilise Greenhouse Gas Atmospheric Concentrations," Working Papers 2007_22, Department of Economics, University of Venice "Ca' Foscari".
- Valentina Bosetti & Carlo Carraro & Emanuele Massetti & Massimo Tavoni, 2007. "Optimal Energy Investment and R&D Strategies to Stabilise Greenhouse Gas Atmospheric Concentrations," Working Papers 2007.95, Fondazione Eni Enrico Mattei.
- Valentina Bosetti & Carlo Carraro & Emanuele Massetti & Massimo Tavoni, 2007. "Optimal Energy Investment and R&D Strategies to Stabilise Greenhouse Gas Atmospheric Concentrations," CESifo Working Paper Series 2133, CESifo Group Munich.
- Toth, Ferenc L. & Rogner, Hans-Holger, 2006. "Oil and nuclear power: Past, present, and future," Energy Economics, Elsevier, vol. 28(1), pages 1-25, January.
- Ferioli, F. & Schoots, K. & van der Zwaan, B.C.C., 2009. "Use and limitations of learning curves for energy technology policy: A component-learning hypothesis," Energy Policy, Elsevier, vol. 37(7), pages 2525-2535, July.
- Valentina Bosetti, Carlo Carraro, Marzio Galeotti, Emanuele Massetti, Massimo Tavoni, 2006. "A World induced Technical Change Hybrid Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 13-38.
- Bosetti, Valentina & Carraro, Carlo & Massetti, Emanuele & Sgobbi, Alessandra & Tavoni, Massimo, 2009. "Optimal energy investment and R&D strategies to stabilize atmospheric greenhouse gas concentrations," Resource and Energy Economics, Elsevier, vol. 31(2), pages 123-137, May.
- Vaillancourt, Kathleen & Labriet, Maryse & Loulou, Richard & Waaub, Jean-Philippe, 2008. "The role of nuclear energy in long-term climate scenarios: An analysis with the World-TIMES model," Energy Policy, Elsevier, vol. 36(7), pages 2296-2307, July. Full references (including those not matched with items on IDEAS)
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