Measuring resilience in electricity generation: an empirical analysis

Molyneaux, Lynette, Brown, Colin, Wagner, Liam and Foster, John (2016). Measuring resilience in electricity generation: an empirical analysis. 1-2016, School of Economics, Energy Economics and Management Group.

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Author Molyneaux, Lynette
Brown, Colin
Wagner, Liam
Foster, John
Title Measuring resilience in electricity generation: an empirical analysis
School, Department or Centre School of Economics
Institution Energy Economics and Management Group
Open Access Status Other
Report Number 1-2016
Publication date 2016-06-20
Total pages 23
Language eng
Abstract/Summary 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.
Keyword Resilience
Sustainable energy
Energy security
Institutional Status UQ

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Created: Mon, 20 Jun 2016, 16:30:36 EST by Ms Lynette Molyneaux on behalf of Global Change Institute