Diverse efforts in the same direction: A multi-model comparison of climate-neutrality power sector pathways for the Nordic countries
同じ方向への多様な取り組み：北欧諸国の気候中立電力セクター経路のマルチモデル比較 (AI 翻訳)
Emir Fejzi'c, Will Usher, I. Jensen, M. Zeyringer, Oskar Vaagero, Maximilian Roithner, Guillermo Valenzuela-Venegas, Rasmus Bramstoft, Marie Munster, Jean-Nicolas Louis, P. Seljom, Miguel Chang, E. O. Jaastad, D. Bogdanov, Christian Breyer
🤖 gxceed AI 要約
日本語
本論文は、北欧諸国の電力セクターにおける気候中立達成経路を、構造的に多様な8つのエネルギーシステムモデルを用いて比較分析した。モデル間で入力を調和させず、実際のモデリング実践を反映。結果、2050年までに風力・太陽光が主力となり原子力が減少する点で広く一致したが、CCS導入量や排出量のネットゼロ達成度には大幅な乖離が見られた。透明なシナリオ設計と結果解釈の重要性を強調。
English
This paper compares climate-neutrality pathways for Nordic power sectors using eight structurally diverse energy system models without input harmonization. There is broad agreement on a transition dominated by wind and solar PV with declining nuclear by 2050, but substantial divergence in CCS deployment and net-zero emissions outcomes, ranging from small residual to net-negative values. Highlights the need for transparent scenario design and cautious interpretation of multi-model analyses.
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、2050年カーボンニュートラル目標のもと電力部門のモデル分析が進んでいるが、本論文のようなマルチモデル比較は限定的。異なるモデル間の結果の一致点・相違点を整理する本手法は、日本のエネルギー政策におけるシナリオ分析の頑健性向上に示唆を与える。
In the global GX context
This multi-model comparison is directly relevant to global climate policy as it reveals both convergence (VRE dominance) and divergence (CCS, net-zero timing) in modeled pathways. It informs the growing use of scenario ensembles in national and corporate transition planning, especially given the role of power sector decarbonization in IPCC and IEA roadmaps.
👥 読者別の含意
🔬研究者:Highlights the value of multi-model ensembles to identify robust insights and structural uncertainties in energy system modeling.
🏢実務担当者:Useful for energy planners and grid operators to understand the range of possible power sector transformations and key technology uncertainties.
🏛政策担当者:Offers evidence on the need for transparent scenario design and the risks of relying on single-model outputs for long-term climate strategy.
📄 Abstract（原文）
The Nordic countries have adopted ambitious climate targets that imply far-reaching transformations of their power sectors, making energy system modelling and scenario analysis a central input to long-term policy analysis. At the same time, comparisons across modelling studies are complicated by differences in model structure, assumptions, and data. This paper presents a comparative assessment of Nordic power sector transition pathways generated by eight structurally diverse energy system models, analysed without harmonising inputs in order to reflect prevailing modelling practice. The analysis examines where model outcomes converge or diverge and identifies the main drivers of these differences. Key indicators include generation capacity across major technologies, power-sector CO2 emissions, and the deployment of carbon capture and storage (CCS). Across models, there is broad agreement on a transition dominated by variable renewable energy in which wind power, complemented by solar photovoltaics, forms the backbone of the power system by 2050, alongside a declining role for nuclear power. At the same time, projected capacity levels, CCS deployment, and emissions outcomes vary substantially, reflecting differences in renewable resource assumptions, technology scope, system boundaries, and other structural modelling choices. Net-zero outcomes range from small residual emissions to net-negative values by mid-century, underscoring the importance of transparent scenario design and cautious interpretation of multi-model scenario analyses used in planning and policy contexts.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.semanticscholar.org/paper/35b1477c149106b6d5c10507853e45727fd359a2first seen 2026-05-15 17:59:56
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