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Agent-based modelling of energy infrastructure transitions

Author

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  • E.J.L. Chappin
  • G.P.J. Dijkema

Abstract

Shaping energy transitions not only requires technical system innovation and redesign but also new policies, regulations, Research and Development (R&D) and investment strategies – a transition assemblage. Transition management thus equates to designing and implementing such an assemblage. Agent-Based Models (ABMs) may be used for ex-ante assessment of transition assemblage alternatives. To help determine whether the design of a particular model is fit for its purpose, we have developed a typology. Three models were assessed: 1) a model on the impact of CO2 policy on the power production sector; 2) a model on the transition of the global Liquefied Natural Gas (LNG) infrastructure; 3) a model on the imminent transition caused by the arrival of Light-Emitting Diode (LED) lighting systems. All three models can be used to compare transition assemblage alternatives and could be adapted to assess regulatory adaptability.

Suggested Citation

  • E.J.L. Chappin & G.P.J. Dijkema, 2010. "Agent-based modelling of energy infrastructure transitions," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 6(2), pages 106-130.
    • Handle: RePEc:ids:ijcist:v:6:y:2010:i:2:p:106-130
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    Citations

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    Cited by:

    1. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
    2. Lisa-Britt Fischer & Jens Newig, 2016. "Importance of Actors and Agency in Sustainability Transitions: A Systematic Exploration of the Literature," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
    3. Fabian Scheller & Frauke Wiese & Jann Michael Weinand & Dominik Franjo Dominkovi'c & Russell McKenna, 2021. "An expert survey to assess the current status and future challenges of energy system analysis," Papers 2106.15518, arXiv.org.
    4. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    5. Knight, Christopher J.K. & Penn, Alexandra S. & Hoyle, Rebecca B., 2014. "Comparing the effects of mutualism and competition on industrial districts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 541-557.
    6. Sarah Wolf & Franziska Schütze & Carlo C. Jaeger, 2016. "Balance or Synergies between Environment and Economy—A Note on Model Structures," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    7. Batinge, Benjamin & Musango, Josephine Kaviti & Brent, Alan C., 2019. "Sustainable energy transition framework for unmet electricity markets," Energy Policy, Elsevier, vol. 129(C), pages 1090-1099.

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