Distributed Energy Systems as an Instrument for Strengthening the Resilience of Critical Infrastructure in Crisis Management
危機管理における重要インフラのレジリエンス強化の手段としての分散型エネルギーシステム (AI 翻訳)
Marcin Rabe, Tomasz Norek, Andrzej Gawlik, Katarzyna Widera, Marcin Jurgilewicz, Bartosz Kozicki, Aleksandra Skrabacz
🤖 gxceed AI 要約
日本語
分散型エネルギーシステムを危機管理の全局面（予防・備え・対応・復旧）で評価するM_ZK-DESモデルを提案。技術・意思決定・法制度・社会組織の4次元とSAIDI等のレジリエンス指標を統合し、停電やサイバー攻撃への対策に活用できる。スコアリング手法により将来の実証研究の基盤を提供する。
English
This paper proposes the M_ZK-DES model, a conceptual-methodological framework for evaluating distributed energy systems across the full crisis management cycle (prevention, preparedness, response, recovery). It integrates technological, decision-operational, legal-institutional, and socio-organizational dimensions with resilience indicators such as SAIDI, SAIFI, and restoration time. The framework enables future empirical validation and comparison across crisis types, including climate extremes and cyberattacks.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では災害時の電力確保が重要課題であり、分散型エネルギーを活用したレジリエンス評価は自治体やインフラ事業者の計画に示唆を与える。気候変動適応策や国土強靱化の文脈でも参照可能な枠組みであり、今後のケーススタディ蓄積が期待される。
In the global GX context
Globally, the framework responds to the growing emphasis on energy resilience and critical infrastructure protection in climate and security policy. It offers a structured approach for assessing distributed energy systems that complements existing TCFD/ISSB climate adaptation disclosure efforts. The model's integration of crisis management phases with measurable indicators supports cross-country comparisons and infrastructure investment decisions.
👥 読者別の含意
🔬研究者:M_ZK-DESモデルと指標体系を実証研究やケーススタディで検証するための基盤として活用できる。
🏢実務担当者:重要インフラ事業者が自社の分散型エネルギー投資をレジリエンス向上の視点から評価・説明する際の枠組みにできる。
🏛政策担当者:危機管理計画やエネルギーインフラの強靱化政策を立案する際に、分散型エネルギーの活用状況を評価する指標として参考になる。
📄 Abstract（原文）
Distributed energy systems are increasingly important for strengthening critical infrastructure resilience under conditions of technological, climatic, geopolitical, and cyber disruption. However, existing research on energy resilience is still dominated by technical approaches focused on reliability, renewable energy integration, microgrid control, and storage optimisation, while the role of distributed energy systems in the full crisis-management cycle remains insufficiently conceptualised. This article addresses this gap by combining a scoping review, lexicographic and semantic analysis using IRaMuTeQ version 0.7 alpha 2, and a conceptual-methodological framework for assessing distributed energy systems as instruments of crisis management. The main contribution of the study is the M_ZK-DES model, which integrates technological-infrastructural, decision-operational, legal-institutional, and socio-organisational dimensions with four crisis-management phases: prevention, preparedness, response, and recovery. The model distinguishes distributed energy systems, distributed energy resources, distributed generation, microgrids, prosumers, energy communities, and energy clusters and links them to measurable resilience indicators. These include SAIDI, SAIFI, energy not supplied, restoration time, share of critical load served, islanding capability, voltage and frequency stability, storage autonomy, procedural readiness, and local coordination capacity. The analysis shows that distributed energy systems may reduce vulnerability to cascading failures, support islanded operation, protect vulnerable consumers, improve emergency power continuity, and strengthen local energy autonomy. The proposed scoring and weighting logic enables future empirical validation, scenario testing, and comparative assessment across regions and crisis types, including extreme weather events, cyberattacks, and supply-chain disruptions. The article contributes to energy resilience and crisis-management studies by offering an integrated and operational framework for evaluating distributed energy systems as practical tools for critical infrastructure protection and continuity of essential public services.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19143281first seen 2026-08-02 05:01:48
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