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Technological Uncertainty in Meeting Europe’s Decarbonisation Goals

Author

Listed:
  • Rob Aalbers

    (CPB Netherlands Bureau for Economic Policy Analysis)

  • Johannes Bollen
  • Kees Folmer
  • Geoffrey J. Blanford

Abstract

In response to the challenge of managing the risks of a changing climate, there is no single optimal transition path for energy technology due to uncertainty in several dimensions. In this paper, we use the MERGE model, a long-term optimization model of the global energy and climate systems with regional and technological detail, enhanced in this paper with a more detailed representation of investment and dispatch detail in Europe’s electric sector, to explore a wide range of possible technology futures under alternative emissions reduction goals. We find that, based on the revised modeling approach, wind energy is attractive for Europe in all scenarios, but to a varying extent ranging from under 15% to over 75%. One of its key disadvantages is to impose lower capacity factors on other technologies, an effect that can be partially mitigated with flexible operations such as joint production of hydrogen and electricity via gasification with CCS. Solar PV is almost never attractive for Europe as a whole, unless CCS and other technologies are significantly limited.

Suggested Citation

  • Rob Aalbers & Johannes Bollen & Kees Folmer & Geoffrey J. Blanford, 2015. "Technological Uncertainty in Meeting Europe’s Decarbonisation Goals," CPB Discussion Paper 301, CPB Netherlands Bureau for Economic Policy Analysis.
    • Handle: RePEc:cpb:discus:301
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    File URL: https://www.cpb.nl/sites/default/files/publicaties/download/cpb-discussion-paper-301-technological-uncertainty-meeting-europes-decarbonisation-goals.pdf
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    Cited by:

    1. Ueckerdt, Falko & Pietzcker, Robert & Scholz, Yvonne & Stetter, Daniel & Giannousakis, Anastasis & Luderer, Gunnar, 2017. "Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model," Energy Economics, Elsevier, vol. 64(C), pages 665-684.

    More about this item

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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