Energies· 2026Q1· Review
Quantitative Assessment of Energy Security Risk in Countries and Regions: The State of Research and Prospects for Integration
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- Q1SCImago
- 2026year
Short summary
A review of 154 publications reveals that while quantitative models connect energy supply, affordability, and economic/population consequences, they often lack broad coverage, monetary valuation, and probability for the same outcomes.
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Key points
- 154 publications were reviewed to assess quantitative energy security risk approaches.
- Existing models connect energy carriers, infrastructure, economic responses, and protective actions.
- Broad coverage, monetary valuation, and probability are not consistently applied to the same outcomes.
- Nine publications provided monetary distributional constructions, but not comparable total risk measures.
- Future models should test scenario-based approaches producing common monetary loss distributions.
AI-generated from the title and abstract; the full text is not read.
Abstract
Energy security assessment must connect threats to supply and affordability with consequences for a country’s economy and population. This critical comparative review examines how quantitative approaches support that task and where integration can add value. A purposively selected baseline of 154 publications retrieved through Scopus and Web of Science, supplemented by targeted comparisons, was examined by scope, outcome, uncertainty, valuation, and decision use. Existing models connect energy carriers, infrastructure, economic responses, and protective actions. However, broad coverage, monetary valuation, and probability do not necessarily describe the same outcome. Nine baseline publications provide monetary distributional constructions, spanning different loss, payment, valuation, and strategy-cost accounts rather than comparable measures of total risk. The synthesis supports testing scenario-based models that produce a common monetary loss distribution, expressed as a loss-exceedance curve, within explicit boundaries and with justified scenario probabilities. A hypothetical example illustrates non-overlapping loss accounting, scenario integration, and protection of vulnerable users and critical services. Where probabilities cannot be defended, stress tests and robust decision comparisons remain informative. The research priority is to determine when integration improves estimates or protective choices, while preserving decomposition and information on consequences that monetary aggregation can obscure.
The authors' abstract, as published at the source. Energies, 2026 · DOI ↗
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Field: General Energy
General EnergyEnergy