カリフォルニア低炭素電力網への炭素の社会的費用（SCC）の導入最適化と2050年までの系統拡張モデリング
Optimizing the California low carbon grid to include Social Cost of Carbon, and modeling grid expansion to 2050 (原題)
Grant Gardner Gallimore, Olusegun Stanley Tomomewo
🤖 gxceed AI 要約
日本語
カリフォルニアの電力網と軽 duty EV フリートの深脱炭素化を、炭素の社会的費用（SCC）を組み込んだ確率的系統最適化モデルで評価した研究。SCC 190ドル/tCO2を基準に、原子力を含む構成は排出削減と経済性の両面で優位となり、含まない場合は定置型電源の必要性が大きく増す。2050年までに系統・車両のライフサイクルCO2を約85%削減できるが、EV製造由来の排出が残る。
English
This study models California's deep decarbonization of the power grid and light-duty EV fleet using a stochastic grid optimization that incorporates lifecycle emissions and the Social Cost of Carbon ($51–340/tCO2, $190 as basis). Nuclear-inclusive scenarios cut CO2 substantially and reduce the need for stationary storage; excluding nuclear raises power resource requirements. Combined grid-plus-vehicle lifecycle CO2 falls ~85% by 2050, with EV manufacturing the dominant residual source.
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
SCCを経済最適化に組み込む手法は、日本での炭素価格付けやGX推進における政策評価の参考になる。原子力の扱いやEV製造段階の排出（Scope 3）を統合評価する視点は、日本の電力・自動車産業の脱炭素戦略に示唆を与える。
In the global GX context
Integrating the Social Cost of Carbon into grid optimization offers a quantitative template for carbon-pricing and transition-finance debates under TCFD/ISSB. Its lifecycle framing—especially EV manufacturing emissions—informs Scope 3 accounting and integrated power-transport decarbonization pathways relevant to global disclosure scholarship.
👥 読者別の含意
🔬研究者:SCCを組み込んだ電力・交通統合のライフサイクル最適化モデルの手法と感度分析が参考になる。
🏢実務担当者:EV製造段階の排出が残存する点は、自動車・電力企業のScope 3管理と調達戦略に示唆を与える。
🏛政策担当者:炭素価格（SCC）を織り込んだ電源構成・原子力政策の経済評価に活用できる。
📄 Abstract（原文）
Carbon emissions from the electrical energy and transportation sectors are two of the largest contributors to global greenhouse gas emissions. Reducing these emissions will be key to mitigating the worst impacts of global climate change. This study models the economic and lifecycle carbon impacts of transitioning California toward a deeply decarbonized electric power grid and light-duty electric vehicle fleet. A stochastic grid optimization model incorporating wind, solar, nuclear and grid scale battery expansion and the use of vehicle-to-grid technologies and coordinated charging strategies is expanded to include lifecycle carbon emissions and the economic impact of these emissions using Social Cost of Carbon (SCC). Grid configurations are evaluated using values ranging from $51 to $340 per metric ton of CO 2 , with 190/tCO 2 used as the basis for carbon inclusive economic optimization. Results show that decarbonization is economically competitive when evaluated with modern SCC estimates considered. Within the bounds of the model results show that a nuclear-inclusive optimization results in substantially reduced CO 2 emissions as compared to scenarios where the growth of nuclear energy is not included, excluding nuclear energy also results in significant increases in the need for stationary power resources. Despite reducing combined grid and light-duty vehicle lifecycle CO 2 emissions approximately 85% by 2050, significant lifecycle emissions remain, with the manufacture of electric vehicles being the primary source of these emissions. These results demonstrate the importance of evaluating electricity generation, storage and vehicle fleet electrification with lifecycle emissions as an integrated system to assess decarbonization pathways.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.cles.2026.100288first seen 2026-11-06 04:49:11
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