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Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system

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  • Ad Seebregts
  • Tom Kram
  • Gerrit Jan Schaeffer
  • Alexandra Bos

Abstract

The paper describes experience gained from experiments with the comprehensive energy system model MARKAL for Western Europe, including endogenous technology learning based on the learning by doing mechanism. These experiments have confirmed the benefits expected from adoption of the mechanism. An important issue, often overlooked in relatively simple energy system models is the notion of interdependency between (families of) technologies, rather than considering individually learning technologies. An approach to address such clusters has been developed and tested. The results indicate that the new "cluster feature" improves the internal consistency and allows for assessment of spillover and cross-over effects, and other mechanisms identified in technology dynamics.

Suggested Citation

  • Ad Seebregts & Tom Kram & Gerrit Jan Schaeffer & Alexandra Bos, 2000. "Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 289-319.
    • Handle: RePEc:ids:ijgeni:v:14:y:2000:i:1/2/3/4:p:289-319
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    Cited by:

    1. Moglianesi, Andrea & Keppo, Ilkka & Lerede, Daniele & Savoldi, Laura, 2023. "Role of technology learning in the decarbonization of the iron and steel sector: An energy system approach using a global-scale optimization model," Energy, Elsevier, vol. 274(C).
    2. Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    3. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
    4. Turton, Hal & Barreto, Leonardo, 2006. "Long-term security of energy supply and climate change," Energy Policy, Elsevier, vol. 34(15), pages 2232-2250, October.
    5. Rout, Ullash K. & Akimoto, Keigo & Sano, Fuminori & Tomoda, Toshimasa, 2010. "Introduction of subsidisation in nascent climate-friendly learning technologies and evaluation of its effectiveness," Energy Policy, Elsevier, vol. 38(1), pages 520-532, January.
    6. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
    7. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
    8. Blazejczak, Jürgen & Braun, Frauke G. & Edler, Dietmar & Schill, Wolf-Peter, 2014. "Economic effects of renewable energy expansion: A model-based analysis for Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1070-1080.
    9. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    10. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
    11. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
    12. Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
    13. Barreto, Leonardo & Kypreos, Socrates, 2004. "Emissions trading and technology deployment in an energy-systems "bottom-up" model with technology learning," European Journal of Operational Research, Elsevier, vol. 158(1), pages 243-261, October.
    14. Michail Chronopoulos, Derek Bunn, and Afzal Siddiqui, 2014. "Optionality and Policymaking in Re-Transforming the British Power Market," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    15. Shafiei, Ehsan & Saboohi, Yadollah & Ghofrani, Mohammad B., 2009. "Impact of innovation programs on development of energy system: Case of Iranian electricity-supply system," Energy Policy, Elsevier, vol. 37(6), pages 2221-2230, June.
    16. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
    17. Heinrich, G. & Howells, M. & Basson, L. & Petrie, J., 2007. "Electricity supply industry modelling for multiple objectives under demand growth uncertainty," Energy, Elsevier, vol. 32(11), pages 2210-2229.
    18. Marcucci, Adriana & Turton, Hal, 2015. "Induced technological change in moderate and fragmented climate change mitigation regimes," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 230-242.
    19. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    20. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    21. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    22. Adriana Marcucci Bustos & Hal Turton, 2012. "Swiss Energy Strategies under Global Climate Change and Nuclear Policy Uncertainty," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 317-345, June.

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