蓄電池エネルギーストレージシステムのカーボンフットプリント：運用モードとサプライチェーンの影響
Battery Energy Storage System carbon footprint: Mode-of-operation and supply-chain influence (原題)
Luka Smajila, Farzin Golzar, Ketan Vaidya, Rafael Guédez
🤖 gxceed AI 要約
日本語
BESSの動的カーボンフットプリント評価フレームワークを提示。欧州6カ国でエネルギーアービトラージ・デマンドレスポンス・ピークシェービングを評価し、フットプリントが300%以上変動することを示す。高炭素電網では運用影響が、低炭素では生産・リサイクルが支配的。容量基準指標は過大設計を誘発し得ると指摘。
English
Presents a dynamic carbon footprint framework for BESS combining dispatch-optimised modelling with regional supply-chain data across six European countries. Footprints vary over 300% by sizing, operation mode, and location; operational impacts dominate in high-carbon grids while production/recycling dominate in low-carbon ones. Capacity-based metrics can incentivise oversizing and underutilisation.
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
EU電池規則のカーボンフットプリント表示義務を見据えた評価手法であり、日本でも蓄電池のLCA・CFP開示やSSBJのScope 3対応を検討する企業・政策担当者にとって実務的示唆が大きい。
In the global GX context
Directly informs the EU Battery Regulation's carbon footprint declaration requirements and broader life-cycle accounting under CSRD/ISSB, offering a context-aware methodology that challenges capacity-based disclosure metrics.
👥 読者別の含意
🔬研究者:Provides a dispatch-integrated LCA framework and highlights functional-unit sensitivity in storage carbon accounting.
🏢実務担当者:Guides BESS procurement and sizing decisions to avoid oversizing penalties under emerging CFP disclosure rules.
🏛政策担当者:Suggests capacity-based regulatory metrics may misalign incentives; delivered-energy metrics better reflect true footprint.
📄 Abstract（原文）
This study presents a dynamic carbon footprint framework for Battery Energy Storage Systems (BESS) by integrating dispatch-optimised modelling with regional supply-chain data. Three applications — energy arbitrage, demand response, and peak shaving — are evaluated across six European countries to compare two functional units: installed capacity ( k W h c a p a c i t y ) and net delivered energy ( k W h d e l i v e r e d ). Results demonstrate that BESS carbon footprints vary by over 300% depending on sizing, operational mode, and location. Operational impacts dominate in high-carbon grids, while production and recycling are primary drivers in low-carbon contexts. Critically, capacity-based metrics can incentivise oversizing, which often leads to underutilisation and poor performance when measured per unit of energy delivered. Sensitivity analysis further reveals that transportation contributes negligibly to the total life-cycle footprint. By providing a context-aware assessment methodology, this research supports informed procurement and regulatory compliance under the emerging EU Battery Regulation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.egyr.2026.109867first seen 2026-11-08 05:07:42 · last seen 2026-11-14 05:15:33
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