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Measuring resilience in electricity generation: An empirical analysis

Author

Listed:
  • Molyneaux, Lynette
  • Brown, Colin
  • Wagner, Liam
  • Foster, John

Abstract

Carbon constraints will act as a significant fuel shock for electricity generation. This paper seeks to use previous fuel shocks (the 1970s oil price crises and the global surge in energy demand that started in 2003) as the context for analysing the adaptive capacity of electricity generation to large fuel shocks. Resilience is the framework for analysis and the metrics analysed are based on the characteristics of resilience; diversity, spare capacity and organisational structure. This approach differs from current energy resilience research in its pursuit of empirical evidence for the relevance of metrics. The findings indicate that spare capacity is the most important metric for predicting favourable outcomes but diversity also plays a role.

Suggested Citation

  • Molyneaux, Lynette & Brown, Colin & Wagner, Liam & Foster, John, 2016. "Measuring resilience in electricity generation: An empirical analysis," MPRA Paper 72884, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:72884
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    References listed on IDEAS

    as
    1. Stirling, Andrew, 1994. "Diversity and ignorance in electricity supply investment : Addressing the solution rather than the problem," Energy Policy, Elsevier, vol. 22(3), pages 195-216, March.
    2. Molyneaux, Lynette & Wagner, Liam & Froome, Craig & Foster, John, 2012. "Resilience and electricity systems: A comparative analysis," Energy Policy, Elsevier, vol. 47(C), pages 188-201.
    3. Kharrazi, Ali & Sato, Masahiro & Yarime, Masaru & Nakayama, Hirofumi & Yu, Yadong & Kraines, Steven, 2015. "Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks," Energy Policy, Elsevier, vol. 87(C), pages 455-464.
    4. Molyneaux, Lynette & Brown, Colin & Wagner, Liam & Foster, John, 2016. "Measuring resilience in energy systems: Insights from a range of disciplines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1068-1079.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Molyneaux, Lynette & Brown, Colin & Foster, John & Wagner, Liam, 2016. "Resilience, coal and the macroeconomy," MPRA Paper 74516, University Library of Munich, Germany.
    2. Foster, John & Wagner, Liam & Liebman, Ariel, 2017. "Economic and investment models for future grids: Final Report Project 3," MPRA Paper 78866, University Library of Munich, Germany.
    3. Zaijing Gong & Dapeng Liang, 2017. "A resilience framework for safety management of fossil fuel power plant," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1081-1095, December.

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    Keywords

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    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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