鉄鋼スラグ処理における循環性と気候性能を整合させる確率的モデル
A probabilistic model for reconciling circularity and climate performance in steel-slag processing (原題)
P. Lomazov, V. Soroka
🤖 gxceed AI 要約
日本語
鉄鋼スラグ処理を対象に、Scope 1–3排出量・実効循環性・バージン骨材代替による排出変化の3つの台帳を構築し、モンテカルロ法で不確実性を評価した。総排出は1.569 kg CO₂-eq/t、うちScope 1が72.8%。追加輸送距離の損益分岐は中央値30.8km、保守的閾値は10.2kmで、50kmでは高循環性でも76.3–93.0%の試行で気候負荷が生じた。
English
The study builds three ledgers—gross Scope 1–3 emissions, effective circularity, and emission change versus virgin aggregate—for legacy steel-slag processing, using Monte Carlo simulation. Gross footprint is 1.569 kg CO₂-eq/t (72.8% Scope 1); the break-even additional transport distance has a median of 30.8 km and a conservative threshold of 10.2 km. At 50 km, high circularity coincides with a climate burden in 76.3–93.0% of realizations.
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・有報でのScope 3算定や循環経済開示において、回避排出の安易な控除を戒める実務的示唆を持つ。日本企業の資源循環型サプライチェーン評価に応用可能。
In the global GX context
Speaks directly to ISSB/CSRD disclosure integrity: it shows when circularity claims should not be netted against Scope 1–3 inventories, and offers a probabilistic screening method for avoided-emission claims under incomplete data.
👥 読者別の含意
🔬研究者:循環性と炭素会計を統合する確率的枠組みと、分布形状に頑健な閾値導出法を参考にできる。
🏢実務担当者:スラグ等副産物の再資源化で回避排出をScope 1–3から安易に控除しない判断基準として使える。
🏛政策担当者:循環経済政策と排出インベントリ整合のルール設計で、輸送距離閾値の考え方を参照できる。
📄 Abstract(原文)
Purpose. To develop a probabilistic model for reconciling circularity with corporate Scope 1–3 emissions accounting and consequential assessment of changes in greenhouse gas emissions for legacy steel-slag processing, and to determine the conditions under which returning the material to use delivers climate benefits. The methods. The functional unit was defined as 1 t of legacy slag delivered to the processing installation. The data were compiled from a publicly available environmental impact assessment report for a facility with a capacity of 800,000 t/year, emission factors, and industrial benchmarks. Three separate accounting ledgers were established: gross operational Scope 1–3 emissions, effective circularity, and the comparative change in emissions relative to virgin-aggregate supply. Uncertainty in the main technological, market, and logistical parameters was assessed using Monte Carlo simulation, with 100,000 iterations for each of the triangular, uniform, and beta-PERT distributions. Findings. The calculated gross operational footprint is 1.569 kg CO₂-eq/t of slag, of which 72.8% is attributable to Scope 1, while the reported yield of potentially useful products is 96.1%. With verified use of the mineral fraction, the deterministic break-even additional transport distance is 49.4 km. For the triangular distribution, the 5th percentile, median, and 95th percentile of this threshold are 16.7, 30.8, and 49.0 km, respectively. The conservative threshold, robust to the form of the distribution, is 10.2 km. At an additional distance of 50 km, high circularity coincides with a climate burden in 76.3–93.0% of model realizations. The originality. The break-even additional transport distance was found to depend linearly on the functional substitution coefficient for virgin aggregate and to be inversely proportional to transport carbon intensity, with all other parameters held constant. Conditions under which high circularity coincides with increased emissions were identified. A method was proposed for determining a conservative transport distance threshold for a specified probability of achieving a climate benefit, with robustness tested across different forms of input probability distributions. Practical significance. The model enables climate screening using incomplete publicly available data, prioritization of evidence collection, and prevention of the deduction of avoided emissions from Scope 1-3 inventories. A qualified claim requires confirmation of end use, functional equivalence, transport routes, and energy consumption.
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- semanticscholar https://sp.ntudp.com/znp/article/download/699/693first seen 2026-11-12 05:36:23 · last seen 2026-11-13 05:45:01
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