Identifying dealbreakers and robust policies for the energy transition amid unexpected events
予期せぬ出来事の中でのエネルギー転換の決定的障害と堅牢な政策の特定 (AI 翻訳)
Diederik Coppitters, Gabriel Anselm Wiest, Leonard Göke, Francesco Contino, André Bardow, Stefano Moret
🤖 gxceed AI 要約
日本語
本論文は、エネルギー輸入途絶や社会的受容の反発、新技術の失敗などの予期せぬ出来事がエネルギー転換経路に与える影響を評価する。完全予見と限定予見のシナリオを比較し、炭素回収技術や電動燃料輸入の欠如が主要な決定的障害であり、再生可能エネルギーの加速展開が最も堅牢な政策であることを示した。この手法は様々な地域に適応可能であり、政策立案者が脆弱性を低減するための対策を特定するのに役立つ。
English
This paper evaluates the impact of unexpected events (disruptions in energy imports, backlash in social acceptance, failure of novel technologies) on energy transition pathways. By comparing perfect-foresight and limited-foresight scenarios, it identifies dealbreakers such as the absence of carbon capture and electrofuel imports, and finds that accelerating renewable deployment is the most robust policy. The method is adaptable to different regions and scalable to entire continents, enabling policymakers to understand the impact of regional disruptions on the broader energy transition.
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
日本はエネルギー輸入依存度が高く、再生可能エネルギーや原子力の社会的受容が課題である。本論文の決定的障害分析（炭素回収、電動燃料）や堅牢な政策（再エネ加速）は、日本のエネルギー転換計画に直接示唆を与える。手法は日本固有の制約を考慮した応用が可能。
In the global GX context
This paper contributes to energy transition planning under uncertainty, relevant to national policies like the EU's Fit for 55 or US IRA. The robust policy identification helps policymakers worldwide prioritize near-term actions (e.g., renewables) to reduce vulnerability to unexpected disruptions.
👥 読者別の含意
🔬研究者:Provides a novel method to identify dealbreakers and robust policies in energy system modeling under uncertainty.
🏢実務担当者:Offers clear policy recommendations (accelerating renewables) and risk assessment for corporate energy transition planning.
🏛政策担当者:Directly useful for designing robust energy policies and identifying critical vulnerabilities in import-dependent systems.
📄 Abstract（原文）
Disruptions in energy imports, backlash in social acceptance, and novel technologies failing to develop are unexpected events that are often overlooked in energy planning, despite their ability to jeopardize the energy transition. Here, we explore the role of unexpected events and assess their impact on the energy transition pathway of a large-scale whole-energy system. First, we evaluate unexpected events assuming ‘perfect foresight,’ where the decision-maker is aware of the unexpected-event scenario from the start of the transition. This analysis allows us to identify dealbreakers, i.e. conditions that cause the transition to exceed cost or carbon limits. Then, we assess the unexpected-event scenarios under ‘limited foresight’ to evaluate the robustness of early-stage decisions when unexpected events arrive as a surprise, and the costs associated with managing them. Unlike the perfect-foresight benchmark, it reflects real decision-making conditions and helps policymakers identify which near-term policies reduce vulnerability to unexpected events and what cost penalties arise when early decisions are suboptimal. A case study for a national energy system demonstrates that the absence of carbon capture technologies and electrofuel imports in 2050 are the main dealbreakers, while accelerating the deployment of renewables is the most robust policy. Our findings help policymakers identify dealbreakers and implement targeted measures to address them. The method is adaptable to different regions and scalable to entire continents, enabling policymakers to understand the impact of regional disruptions on the broader energy transition and analyze the vulnerabilities of energy policies under varying modeling assumptions.
🔗 Provenance — このレコードを発見したソース
- openalex http://hdl.handle.net/20.500.11850/801186first seen 2026-06-24 04:40:12
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