Measuring resilience in electricity generation: An empirical analysis
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.
|Date of creation:||20 Jun 2016|
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- 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.
- Lynette Molyneaux & Colin Brown & Liam Wagner & John Foster, 2014. "Measuring resilience in energy systems: Insights from a range of disciplines," Energy Economics and Management Group Working Papers 8-2014, School of Economics, University of Queensland, Australia.
- 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.
- Lynette Molyneaux & Liam Wagner & Craig Froome & John Foster, 2012.
"Resilience and electricity systems: a comparative analysis,"
Energy Economics and Management Group Working Papers
15, School of Economics, University of Queensland, Australia.
- 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.
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