Coupled Cascades to Coupled Resilience
結合カスケードから結合レジリエンスへ (AI 翻訳)
Marianne Zeyringer, Beate Seibt, Muhammad Shahzad Javed, Gulnaz Anjum, Matylda Guzik
🤖 gxceed AI 要約
日本語
本プロジェクトは、再生可能エネルギーシステムのレジリエンスを、物理的・技術的ネットワークと社会的ネットワーク(信頼・リスク認識など)の相互作用として捉える枠組みを開発する。ノルウェーを対象に、エネルギーシステムモデリングとエージェントベース社会モデルを結合し、レジリエンス向上のための介入策を実証的に評価する。
English
This project develops a framework for energy system resilience that integrates physical-technical networks with social networks (trust, risk perception). Using Norway as a case, it couples energy system modeling with agent-based social modeling to empirically evaluate interventions and preparedness strategies, making resilience trade-offs explicit.
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
日本でも福島以降、社会信頼とエネルギーインフラのレジリエンスの相互作用が重要視されており、本枠組みは日本のエネルギー政策や地域コミュニティとの協働に示唆を与える。
In the global GX context
This framework contributes globally by formalizing the coupling of social and physical cascades in energy resilience, moving beyond purely technical assessments. It offers a transferable methodology for integrating societal factors into energy security planning.
👥 読者別の含意
🔬研究者:Researchers in energy system modeling and socio-technical transitions can adopt the coupled cascades framework for resilience analysis.
🏢実務担当者:Energy infrastructure operators and planners can use insights on the role of public trust and social capacity in resilience strategies.
🏛政策担当者:Policymakers can consider the explicit trade-offs between efficiency, security, equity, and justice when designing energy resilience policies.
📄 Abstract(原文)
Renewable energy infrastructure is typically assessed through costs, technical performance, and physical robustness, while societal responses to infrastructure disruptions are treated as secondary consequences rather than integral determinants of resilience. The CoupledCascades (CC) project challenges this assumption by arguing that energy system resilience emerges from the interaction of physical and social capacities. When energy infrastructure is disrupted, cascading effects unfold across two interconnected networks. The first is the physical-technical network of energy generation, transmission, and distribution assets. The second is the social network of public trust, risk perception, institutional legitimacy, responsibility attribution, and willingness to cooperate. These networks continuously influence one another while operating within a shared information ecosystem, where mis- and disinformation can amplify the impact of disruptions by eroding trust and coordination. Our central, testable proposition is that a system with strong technical redundancy, but weak social trust may fail more severely than one with fewer technical safeguards but stronger societal resilience. Understanding these coupled dynamics is therefore essential for assessing the coupled resilience of critical energy infrastructure. To address this challenge, we will develop a Coupled Cascades Framework (CCF) for the Norwegian energy-security context, integrating selected energy system variables with societal resilience parameters. The framework enables bidirectional exchange between physical-technical and social models, treating social processes as active components of energy system behaviour/operation. Methodologically, CC combines high-resolution energy system modelling, agent-based societal-response modelling, laboratory experiments on stress responses to energy disruptions, and participatory engagement with communities and stakeholders. The project will deliver: (1) a conceptual model of interacting physical and social cascades; (2) a transferable framework coupling energy system and societal-response models; and (3) empirical evidence on interventions and preparedness strategies, making resilience trade-offs between efficiency, security, equity, and justice explicit.
🔗 Provenance — このレコードを発見したソース
- openalex https://osf.io/bmgj9first seen 2026-07-29 04:48:27
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