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Technology dynamics in energy systems models with perfect foresight

Author

Listed:
  • Tom Kram
  • Ad Seebregts
  • Gerrit Jan Schaeffer
  • Leonardo Barreto
  • Socrates Kypreos
  • Sabine Messner
  • Leo Schrattenholzer

Abstract

This article provides a tutorial on how to implement technology dynamics in global optimisation energy models that are widely used for energy systems analysis. The tutorial draws from a series of modelling experiments conducted by several research groups cooperating in the framework of European Union research. The paper expands on issues associating endogenous learning of technologies and model properties.

Suggested Citation

  • Tom Kram & Ad Seebregts & Gerrit Jan Schaeffer & Leonardo Barreto & Socrates Kypreos & Sabine Messner & Leo Schrattenholzer, 2000. "Technology dynamics in energy systems models with perfect foresight," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 48-64.
    • Handle: RePEc:ids:ijgeni:v:14:y:2000:i:1/2/3/4:p:48-64
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    Citations

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    Cited by:

    1. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
    2. Rout, Ullash K. & Fahl, Ulrich & Remme, Uwe & Blesl, Markus & Voß, Alfred, 2009. "Endogenous implementation of technology gap in energy optimization models--a systematic analysis within TIMES G5 model," Energy Policy, Elsevier, vol. 37(7), pages 2814-2830, July.
    3. Graham, Paul W. & Williams, David J., 2003. "Optimal technological choices in meeting Australian energy policy goals," Energy Economics, Elsevier, vol. 25(6), pages 691-712, November.

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