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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, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    3. 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.
    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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    Citations

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    Cited by:

    1. Parkinson, Simon C. & Djilali, Ned, 2015. "Long-term energy planning with uncertain environmental performance metrics," Applied Energy, Elsevier, vol. 147(C), pages 402-412.
    2. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    3. Gracceva, Francesco & Zeniewski, Peter, 2014. "A systemic approach to assessing energy security in a low-carbon EU energy system," Applied Energy, Elsevier, vol. 123(C), pages 335-348.
    4. Scott, Michael J. & Daly, Don S. & Hathaway, John E. & Lansing, Carina S. & Liu, Ying & McJeon, Haewon C. & Moss, Richard H. & Patel, Pralit L. & Peterson, Marty J. & Rice, Jennie S. & Zhou, Yuyu, 2015. "Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model," Energy, Elsevier, vol. 90(P2), pages 1682-1694.
    5. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    6. Fortes, Patrícia & Alvarenga, António & Seixas, Júlia & Rodrigues, Sofia, 2015. "Long-term energy scenarios: Bridging the gap between socio-economic storylines and energy modeling," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 161-178.
    7. Bosello, Francesco & Orecchia, Carlo & Raitzer, David A., 2016. "Decarbonization Pathways in Southeast Asia: New Results for Indonesia, Malaysia, Philippines, Thailand and Viet Nam," MITP: Mitigation, Innovation and Transformation Pathways 250260, Fondazione Eni Enrico Mattei (FEEM).
    8. 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.
    9. Simoes, Sofia & Fortes, Patrícia & Seixas, Júlia & Huppes, Gjalt, 2015. "Assessing effects of exogenous assumptions in GHG emissions forecasts – a 2020 scenario study for Portugal using the Times energy technology model," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 221-235.
    10. Mondal, Md. Alam Hossain & Ringler, Claudia & Al-Riffai, Perrihan & Eldidi, Hagar & Breisinger, Clemens & Wiebelt, Manfred, 2019. "Long-term optimization of Egypt’s power sector: Policy implications," Energy, Elsevier, vol. 166(C), pages 1063-1073.
    11. Franziska Holz & Philipp M. Richter & Ruud Egging, 2013. "The Role of Natural Gas in a Low-Carbon Europe: Infrastructure and Regional Supply Security in the Global Gas Model," Discussion Papers of DIW Berlin 1273, DIW Berlin, German Institute for Economic Research.
    12. Bosello, Francesco & Marangoni, Giacomo & Orecchia, Carlo & Raitzer, David A. & Tavoni, Massimo, 2016. "The Cost of Climate Stabilization in Southeast Asia, a Joint Assessment with Dynamic Optimization and CGE Models," MITP: Mitigation, Innovation and Transformation Pathways 251810, Fondazione Eni Enrico Mattei (FEEM).
    13. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    14. Simoes, Sofia & Zeyringer, Marianne & Mayr, Dieter & Huld, Thomas & Nijs, Wouter & Schmidt, Johannes, 2017. "Impact of different levels of geographical disaggregation of wind and PV electricity generation in large energy system models: A case study for Austria," Renewable Energy, Elsevier, vol. 105(C), pages 183-198.
    15. Franziska Holz, Philipp M. Richter, and Ruud Egging, 2016. "The Role of Natural Gas in a Low-Carbon Europe: Infrastructure and Supply Security," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).
    16. Chiodi, Alessandro & Gargiulo, Maurizio & Deane, J.P. & Lavigne, Denis & Rout, Ullash K. & Ó Gallachóir, Brian P., 2013. "Modelling the impacts of challenging 2020 non-ETS GHG emissions reduction targets on Ireland′s energy system," Energy Policy, Elsevier, vol. 62(C), pages 1438-1452.
    17. Gracceva, Francesco & Zeniewski, Peter, 2013. "Exploring the uncertainty around potential shale gas development – A global energy system analysis based on TIAM (TIMES Integrated Assessment Model)," Energy, Elsevier, vol. 57(C), pages 443-457.
    18. Calvin, Katherine & Fawcett, Allen & Kejun, Jiang, 2012. "Comparing model results to national climate policy goals: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 306-315.
    19. Stephan Spiecker & Volker Eickholt, 2013. "The Impact Of Carbon Capture And Storage On A Decarbonized German Power Market," EWL Working Papers 1304, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2013.
    20. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.
    21. Spiecker, S. & Eickholt, V. & Weber, C., 2014. "The impact of carbon capture and storage on a decarbonized German power market," Energy Economics, Elsevier, vol. 43(C), pages 166-177.

    More about this item

    Keywords

    Climate mitigation; Energy policy; Integrated assessment modeling; Stochastic programming; TIAM-World; Asia;

    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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