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Fukushima's impact on the European power sector: The key role of CCS technologies

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  • Selosse, Sandrine
  • Ricci, Olivia
  • Maïzi, Nadia

Abstract

The accident in Fukushima, Japan, in March 2011 has reactivated the discussion on how to meet ambitious climate mitigation objectives as some European countries reconsider the contribution of nuclear power in their energy mix. This study evaluates the impact of nuclear power reduction in Europe on the electricity mix under carbon emission reduction scenarios while considering the availability of carbon capture and storage technological options (CCS). The potential cost of carbon reduction is also addressed using the bottom-up optimization model TIAM-FR. The results suggest that CCS technologies constitute an interesting option in a case of stringent climate targets and limited nuclear electricity. However, the unavailability of CCS technologies induces a significant increase in carbon marginal cost and energy system cost to achieve the climate policy.

Suggested Citation

  • Selosse, Sandrine & Ricci, Olivia & Maïzi, Nadia, 2013. "Fukushima's impact on the European power sector: The key role of CCS technologies," Energy Economics, Elsevier, vol. 39(C), pages 305-312.
    • Handle: RePEc:eee:eneeco:v:39:y:2013:i:c:p:305-312
    DOI: 10.1016/j.eneco.2013.05.013
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    Cited by:

    1. Holz, Franziska & Scherwath, Tim & Crespo del Granado, Pedro & Skar, Christian & Olmos, Luis & Ploussard, Quentin & Ramos, Andrés & Herbst, Andrea, 2021. "A 2050 perspective on the role for carbon capture and storage in the European power system and industry sector," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 104, pages 1-18.
    2. Selosse, Sandrine & Ricci, Olivia, 2017. "Carbon capture and storage: Lessons from a storage potential and localization analysis," Applied Energy, Elsevier, vol. 188(C), pages 32-44.
    3. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    4. Domínguez, Ruth & Vitali, Sebastiano & Carrión, Miguel & Moriggia, Vittorio, 2021. "Analysing decarbonizing strategies in the European power system applying stochastic dominance constraints," Energy Economics, Elsevier, vol. 101(C).
    5. Lee, Jui-Yuan, 2017. "A multi-period optimisation model for planning carbon sequestration retrofits in the electricity sector," Applied Energy, Elsevier, vol. 198(C), pages 12-20.
    6. Lopatta, Kerstin & Kaspereit, Thomas, 2014. "The cross-section of returns, benchmark model parameters, and idiosyncratic volatility of nuclear energy firms after Fukushima Daiichi," Energy Economics, Elsevier, vol. 41(C), pages 125-136.
    7. Martínez Arranz, Alfonso, 2015. "Carbon capture and storage: Frames and blind spots," Energy Policy, Elsevier, vol. 82(C), pages 249-259.

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    More about this item

    Keywords

    Energy modeling; European Union policies; Climate change; TIAM-FR; Nuclear phase out; Carbon capture and storage;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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