ターボ機械・重工業セクターにおけるGHG Scope 3カテゴリ11報告のためのエネルギー基準配分手法
Energy-Based Allocation Method for GHG Scope 3 Category 11 Reporting in Turbomachinery and Heavy Industry Sectors (原題)
F. Meucci, Indrit Kamberi, Fabien Cochet, A. Serra, Marco Marconi
🤖 gxceed AI 要約
日本語
ターボ機械・重工業におけるScope 3カテゴリ11（使用段階排出）報告の曖昧さを整理し、エネルギー基準の配分手法を提案する。直接・間接排出、中間・最終製品を明確に区別し、機器効率とエネルギー損失に基づくエネルギー流モデリングで排出を配分する。2つの実務適用例で柔軟性と効率改善インセンティブを示し、ブロックチェーン型カーボンレジャーによる二重計上防止の必要性も提言する。
English
This paper reviews corporate sustainability reports to expose gaps in Scope 3 Category 11 (use-phase) emissions reporting in turbomachinery and heavy industry, notably unclear allocation criteria and energy definitions. It proposes an energy-based allocation method that separates direct/indirect and intermediate/final-product emissions, using energy-flow modelling of equipment efficiency and losses. Two practical applications show usability and efficiency incentives, and the authors advocate blockchain-based carbon ledgers to improve traceability and curb double-counting.
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
SSBJ基準や有報でのScope 3開示が本格化する中、使用段階排出の配分根拠を説明する枠組みは日本企業の産業機械・重工セクターの開示対応に直結する。デジタル台帳によるトレーサビリティ確保はサプライチェーン全体のデータ連携に示唆を与える。
In the global GX context
Scope 3 Category 11 allocation is a persistent weak point under GHG Protocol and emerging ISSB/CSRD disclosure regimes, where use-phase emissions often dominate industrial footprints. A transparent, energy-based allocation framework with traceability safeguards directly addresses double-counting concerns flagged by the GHG Protocol and supports comparable downstream disclosure.
👥 読者別の含意
🔬研究者:Scope 3配分の方法論的空白を埋める、エネルギー流モデリングに基づく配分枠組みの設計例として参照できる。
🏢実務担当者:使用段階排出の配分根拠を整理し、機器効率データを用いた透明なScope 3カテゴリ11算定に活用できる。
🏛政策担当者:Scope 3配分基準の標準化やデジタルトレーサビリティ制度設計を検討する際の論点整理に資する。
📄 Abstract（原文）
Accurate reporting of Scope 3 Category 11 greenhouse gases (GHG) emissions remains a challenge for companies in the turbomachinery and heavy industry sectors, particularly due to ambiguities in the Greenhouse Gas Protocol (GHG Protocol) and inconsistent application of allocation methodologies. Through a comprehensive review of corporate sustainability reports and existing literature, the study identifies key gaps in current practices, including the lack of standardized allocation criteria and unclear definitions of energy consumption. This paper proposes an energy-based allocation method that addresses these inconsistencies by providing a systematic framework for distinguishing between direct and indirect emissions, and between intermediate and final products. This clear distinction allows the proper usage of the allocation, and the energy-based allocation method is proposed as alternative to other allocation methods observed in the review of corporate sustainability reports. The proposed methodology integrates energy flow modelling to allocate emissions based on equipment efficiency and energy losses, enabling transparent transfer of emissions data downstream the value chain. Two practical applications leveraging typical turbomachinery and heavy industry equipment demonstrate the model usability, flexibility and its potential to incentivize efficiency improvements. The method is designed to be simple to apply and it relies on quantities that are, by design, already known to the reporting company. The paper concludes by advocating for digital solutions, such as blockchain-based carbon ledgers, to enhance traceability and mitigate double-counting across value chains recognized also by the GHG Protocol. This approach supports a more equitable and actionable framework for emissions accountability in complex industrial ecosystems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1115/gt2026-177057first seen 2026-10-22 05:21:22 · last seen 2026-11-06 05:15:26
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