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Nuclear versus Coal plus CCS: A Comparison of Two Competitive Base-load Climate Control Options

Author

Listed:
  • Massimo Tavoni

    (Fondazione Eni Enrico Mattei)

  • Bob van der Zwaan

    (Energy research Centre of the Netherlands and Lenfest Center for Sustainable Energy at Columbia University)

Abstract

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.

Suggested Citation

  • Massimo Tavoni & Bob van der Zwaan, 2009. "Nuclear versus Coal plus CCS: A Comparison of Two Competitive Base-load Climate Control Options," Working Papers 2009.100, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2009.100
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    References listed on IDEAS

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    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    2. 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.
    3. Bob Van der Zwaan, 2008. "Prospects for nuclear energy in Europe," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 30(1/2/3/4), pages 102-121.
    4. 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.
    5. repec:aen:journl:2006se_jaccard-a02 is not listed on IDEAS
    6. 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.
    7. 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.
    8. Carraro, Carlo & Bosetti, Valentina & 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.
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    Cited by:

    1. Enrica Cian & Samuel Carrara & Massimo Tavoni, 2014. "Innovation benefits from nuclear phase-out: can they compensate the costs?," Climatic Change, Springer, vol. 123(3), pages 637-650, April.
    2. Berumen, Sergio A. & Pérez-Megino, Luis P., 2016. "Ranking Socioeconómico para el Desarrollo de las Regiones Carboníferas en Europa || Socioeconomic Ranking for the Development of coal-mining regions in Europe," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 21(1), pages 39-57, June.
    3. BERUMEN, Sergio A. & LLAMAZARES-REDONDO, Francisco, 2014. "Economic Development and Viability Firms in European Mining Regions," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 14(1), pages 33-46.

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    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • H0 - Public Economics - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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