LAPSE:2023.22310
Published Article
LAPSE:2023.22310
Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis
March 24, 2023
Abstract
The interest in studying energy systems’ resilience is increasing due to a rising awareness of the importance of having a secure energy supply. This growing trend is a result of a series of recent disruptions, among others also affecting electricity systems. Therefore, it is of crucial importance for policymakers to determine whether their country has a resilient electricity supply. Starting from a set of 12 indicators, this paper uses data envelopment analysis (DEA) to comprehensively evaluate the electricity supply resilience of 140 countries worldwide. Two DEA models are applied: (1) the original ratio-based Charnes, Cooper, and Rhodes (CCR) model and (2) a novel hybrid framework for robust efficiency analysis incorporating linear programming and Monte Carlo simulations. Results show that the CCR model deems 31 countries as efficient and hence lacks the capability to differentiate them. Furthermore, the CCR model considers only the best weight vectors for each country, which are not necessarily representative of the overall performance of the countries. The robustness analysis explores these limitations and identifies South Korea, Singapore and Canada as the most resilient countries. Finally, country analyses are conducted, where Singapore’s and Japan’s performances and improvement potentials are discussed.
Keywords
data envelopment analysis, electricity supply, energy security, ratio-based efficiency model, resilience, robustness analysis
Suggested Citation
Gasser P, Cinelli M, Labijak A, Spada M, Burgherr P, Kadziński M, Stojadinović B. Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis. (2023). LAPSE:2023.22310
Author Affiliations
Gasser P: Future Resilient Systems (FRS), Singapore-ETH Centre (SEC), Swiss Federal Institute of Technology (ETH) Zürich, Singapore 138602, Singapore [ORCID]
Cinelli M: Future Resilient Systems (FRS), Singapore-ETH Centre (SEC), Swiss Federal Institute of Technology (ETH) Zürich, Singapore 138602, Singapore [ORCID]
Labijak A: Institute of Computing Science, Poznań University of Technology (PUT), 60-965 Poznań, Poland [ORCID]
Spada M: Laboratory for Energy Systems Analysis (LEA), Paul Scherrer Institut (PSI), 5232 Villigen PSI, Switzerland [ORCID]
Burgherr P: Laboratory for Energy Systems Analysis (LEA), Paul Scherrer Institut (PSI), 5232 Villigen PSI, Switzerland [ORCID]
Kadziński M: Institute of Computing Science, Poznań University of Technology (PUT), 60-965 Poznań, Poland [ORCID]
Stojadinović B: Department of Civil, Environmental and Geomatic Engineering, Institute of Structural Engineering, Swiss Federal Institute of Technology (ETH) Zürich, 8093 Zurich, Switzerland [ORCID]
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1535
Year
2020
Publication Date
2020-03-25
ISSN
1996-1073
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Original Submission
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PII: en13071535, Publication Type: Journal Article
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LAPSE:2023.22310
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https://doi.org/10.3390/en13071535
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