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電力の空間明示的炭素会計に向けて：階層ゾーン別グリッド脱炭素化のための統合3層フレームワークの詳細研究

Towards spatially explicit carbon accounting for electricity: an in-depth study on integrated three-layer framework for hierarchical-zonal grid decarbonization (原題)

Yanxun Gu, Kun Yang, Jian Cao, Mingqian Feng

Frontiers in Environmental Science📚 査読済 / ジャーナル2026-08-25#炭素会計Origin: CN経営インパクト: 調達リスク対象セクター: power
DOI: 10.3389/fenvs.2026.1717728
原典: https://doi.org/10.3389/fenvs.2026.1717728

🤖 gxceed AI 要約

日本語

本レビューは、電力系統の炭素排出係数（CEF）の空間的・時間的異質性を無視する従来の全国平均CEFの限界を批判し、「グリッド階層・ゾーン別区分」のパラダイムを評価する。物理フロー、政策境界、データ基盤を統合した3層フレームワークを提案し、中国の西電東送回廊への適用例を示す。国境を越える電力の会計方法の違いにより、輸入地域の報告Scope 2排出量に15%～30%の差が生じることを示す。

English

This review critiques the limitations of national-average grid carbon emission factors (CEFs) that ignore spatial and temporal heterogeneity, and evaluates the emerging paradigm of grid hierarchical and zonal division. It proposes an integrated three-layer framework synthesizing physical flow modeling, policy boundary definition, and data architecture, applied to China's West-East Electricity Transfer corridor. Illustrative estimates suggest that different accounting choices for cross-border electricity can result in 15%-30% differences in an importing region's reported Scope 2 emissions.

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

日本のSSBJ開示やScope 2算定において、系統平均係数を用いる現在の実務は過大・過小評価のリスクを伴う。本フレームワークは、日本の電力系統の地域間連系や再エネ導入拡大に伴う精緻な排出係数算定の方向性を示し、今後の開示制度設計や企業の算定実務に示唆を与える。

In the global GX context

This framework addresses a critical gap in global carbon accounting standards (GHG Protocol, ISO 14064) by proposing spatially explicit grid CEFs. It is highly relevant to ISSB/CSRD disclosure requirements, where accurate Scope 2 reporting is essential. The case study on China's West-East Electricity Transfer provides empirical evidence of the materiality of accounting choices, informing global debates on cross-border electricity accounting.

👥 読者別の含意

🔬研究者:Provides a comprehensive framework for spatially explicit carbon accounting and identifies research frontiers including AI and blockchain for grid CEFs.

🏢実務担当者:Highlights the impact of grid CEF choices on reported Scope 2 emissions, guiding more accurate carbon accounting and disclosure.

🏛政策担当者:Informs policy on grid emission factor standardization and the treatment of cross-border electricity in carbon accounting rules.

📄 Abstract（原文）

The accurate quantification of grid carbon emission factors (CEFs) is foundational for robust carbon accounting, effective climate policy, and credible corporate sustainability reporting. Traditional national-average CEFs are fundamentally inadequate, perpetuating the “copper plate” fallacy by ignoring profound spatial and temporal heterogeneity within interconnected power systems. This review critically evaluates the emerging paradigm of “grid hierarchical and zonal division” as a necessary response to this challenge. We systematically analyze the limitations of existing methodologies, highlighting the significant gap between top-down administrative calculations and bottom-up physical flow tracing. As our central contribution, we propose an integrated three-layer framework that synthesizes established but previously siloed concepts, physical flow modeling, policy boundary definition, and data architecture, into a unified structure. The novelty lies in their explicit integration and the modeling of interdependencies across layers: a Physical Flow Layer (‘engine’), a Policy Boundary Layer (‘rulebook’), and a Data and Calculation Layer (‘nervous system’). Our comparative analysis demonstrates that no single methodology is universally superior; a strategic, hybrid application across the hierarchy is essential. A structured case-based analysis applying the framework to China’s West-East Electricity Transfer corridor demonstrates its practical utility, with illustrative estimates from published comparative analyses suggesting that different accounting choices for cross-border electricity can result in differences of 15%–30% in an importing region’s reported Scope 2 emissions. The review identifies critical challenges data transparency, treatment of electricity imports, and lack of standardization, and proposes actionable pathways. Future research frontiers include dynamic real-time CEFs, artificial intelligence for forecasting and zoning, and blockchain for data integrity. This framework provides an essential blueprint for next-generation grid CEFs indispensable for guiding a precise and efficient energy transition.

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