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

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 threa...

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Main Authors: Linas Martišauskas, Juozas Augutis, Ričardas Krikštolaitis, Rolandas Urbonas, Inga Šarūnienė, Vytis Kopustinskas
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/11/4040
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author Linas Martišauskas
Juozas Augutis
Ričardas Krikštolaitis
Rolandas Urbonas
Inga Šarūnienė
Vytis Kopustinskas
author_facet Linas Martišauskas
Juozas Augutis
Ričardas Krikštolaitis
Rolandas Urbonas
Inga Šarūnienė
Vytis Kopustinskas
author_sort Linas Martišauskas
collection DOAJ
description 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.
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spelling doaj.art-c9e27e9d95674bc49aa919868dc35ef82023-11-23T13:59:20ZengMDPI AGEnergies1996-10732022-05-011511404010.3390/en15114040A Framework to Assess the Resilience of Energy Systems Based on Quantitative IndicatorsLinas Martišauskas0Juozas Augutis1Ričardas Krikštolaitis2Rolandas Urbonas3Inga Šarūnienė4Vytis Kopustinskas5Laboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, LithuaniaDepartment of Mathematics and Statistics, Vytautas Magnus University, Universiteto g. 10, Kaunas District, LT-53361 Akademija, LithuaniaLaboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, LithuaniaLaboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, LithuaniaLaboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, LithuaniaEuropean Commission, Joint Research Centre (JRC), I-21027 Ispra, VA, ItalyThe “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.https://www.mdpi.com/1996-1073/15/11/4040resiliencequantitative indicatorsenergy systemenergy securitymodeling
spellingShingle Linas Martišauskas
Juozas Augutis
Ričardas Krikštolaitis
Rolandas Urbonas
Inga Šarūnienė
Vytis Kopustinskas
A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators
Energies
resilience
quantitative indicators
energy system
energy security
modeling
title A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators
title_full A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators
title_fullStr A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators
title_full_unstemmed A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators
title_short A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators
title_sort framework to assess the resilience of energy systems based on quantitative indicators
topic resilience
quantitative indicators
energy system
energy security
modeling
url https://www.mdpi.com/1996-1073/15/11/4040
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