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Climate mitigation under an uncertain technology future: A TIAM-World analysis

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  • Labriet, Maryse
  • Kanudia, Amit
  • Loulou, Richard

Abstract

This paper explores the impacts of long-term technology and climate uncertainties on the optimal evolution of the World energy system. Stochastic programming with the TIAM-World model is used for a parametric analysis of hedging strategies, varying the probabilities associated to each of two contrasted technology outlooks. The parametric analysis constitutes an original supplement to the computation of hedging strategies by identifying technologies that are robust under a broad range of probabilities of the two technology outlooks. Natural gas appears to be one of the most appealing robust options in an uncertain technological context, especially in China, given its relatively low emissions and the low capital cost of associated technologies. Natural gas and some other options are in fact considered as “super-hedging” actions, penetrating more in the hedging solution than in any of the deterministic scenarios. Nuclear power and CCS use are less robust: they depend much more on either the level of the climate target or the probabilities of the technology outlooks. The analysis also shows that technological uncertainty has a greater impact under milder climate targets than under more severe ones. Future research might consider a larger set of possible technology outlooks, as well as specific analyses focused on key characteristics of low-carbon technologies.

Suggested Citation

  • Labriet, Maryse & Kanudia, Amit & Loulou, Richard, 2012. "Climate mitigation under an uncertain technology future: A TIAM-World analysis," Energy Economics, Elsevier, vol. 34(S3), pages 366-377.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:s3:p:s366-s377
    DOI: 10.1016/j.eneco.2012.02.016
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    References listed on IDEAS

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    1. Kanudia, Amit & Loulou, Richard, 1998. "Robust responses to climate change via stochastic MARKAL: The case of Quebec," European Journal of Operational Research, Elsevier, vol. 106(1), pages 15-30, April.
    2. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    3. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    4. Calvin, Katherine & Clarke, Leon & Krey, Volker & Blanford, Geoffrey & Jiang, Kejun & Kainuma, Mikiko & Kriegler, Elmar & Luderer, Gunnar & Shukla, P.R., 2012. "The role of Asia in mitigating climate change: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 251-260.
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    More about this item

    Keywords

    Climate mitigation; Energy policy; Integrated assessment modeling; Stochastic programming; TIAM-World; Asia;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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