A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators

Linas Martišauskas, Juozas Augutis, Ričardas Krikštolaitis, Rolandas Urbonas, Inga Šarūnienė and Vytis Kopustinskas
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Linas Martišauskas: Laboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, Lithuania
Juozas Augutis: Department of Mathematics and Statistics, Vytautas Magnus University, Universiteto g. 10, Kaunas District, LT-53361 Akademija, Lithuania
Ričardas Krikštolaitis: Laboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, Lithuania
Rolandas Urbonas: Laboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, Lithuania
Inga Šarūnienė: Laboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, Lithuania
Vytis Kopustinskas: European Commission, Joint Research Centre (JRC), I-21027 Ispra, VA, Italy

Energies, 2022, vol. 15, issue 11, 1-25

Abstract: The “Clean Energy for all Europeans” package highlights the need to create a resilient critical energy infrastructure in the European Union. Resilience is an emerging term to describe the energy system’s ability to withstand shocks caused by natural hazards, technical accidents, or intentional threats. In this paper, a framework to assess the resilience of energy systems using quantitative indicators is presented. Two main groups of resilience indicators are proposed that depend on what is being measured within the energy system: capacity (attribute-based) indicators or performance in the presence of disruption (performance-based) indicators. This study concentrates on the first resilience phase, when the energy system has to absorb the impact of the shock. The approach considers various disruptions (both internal and external) as triggering events. There is a particular focus on future shocks affecting the prospective energy system, which will have changed with respect to the current one. The future foresight capabilities and potential of the selected resilience indicators are demonstrated using calculations for the Lithuanian energy system. The results revealed that the most important factors that impact energy system resilience are a rich electricity production mix and the diversification of both supply and production in the prospective energy system.

Keywords: resilience; quantitative indicators; energy system; energy security; modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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