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炭素価格動向を考慮した高炉・転炉一貫製鉄所の低炭素改修戦略:予算シナリオ別分析

Low-carbon retrofit strategies for BF-BOF integrated steel plants considering carbon price dynamics: An analysis under different budget scenarios (原題)

Xue Meng, Jie Ren, Xiaoxia Huang

The Engineering Economist📚 査読済 / ジャーナル2026-08-30#炭素価格Origin: CN経営インパクト: コスト削減対象セクター: steel
DOI: 10.1080/0013791x.2026.2723996
原典: https://doi.org/10.1080/0013791x.2026.2723996

🤖 gxceed AI 要約

日本語

本論文は、炭素価格の動向を考慮しつつ、高炉・転炉一貫製鉄所の低炭素改修戦略を予算水準別に最適化するモデルを開発した。22の既存技術からポートフォリオを選択し、高・中・低予算シナリオでの戦略を提示。中国の炭素取引制度の専門家予測と市場変動を反映し、経済性とCO2削減効果を評価。プロセス別分析で投資配分と脱炭素特性の差異を明らかにし、感度分析で頑健性を確認。鉄鋼企業が投資能力と炭素価格変動に適応する実践的示唆を提供する。

English

This paper develops an optimization model for low-carbon retrofit strategies in BF-BOF integrated steel plants under different budget levels, incorporating carbon price dynamics based on expert forecasts and market volatility in China's carbon trading system. It selects technology portfolios from 22 technologies and evaluates economic and environmental performance under high, medium, and low budgets. Process-level analysis reveals investment allocation differences, and sensitivity analyses confirm robustness. Findings offer practical insights for steel enterprises to design adaptive retrofit strategies aligned with investment capacity and evolving carbon prices.

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

日本の鉄鋼業界はGX(グリーントランスフォーメーション)推進が急務であり、炭素価格導入や排出量取引制度の検討が進む中、本論文の最適化モデルは予算制約下での技術選択の意思決定に示唆を与える。SSBJ開示や投資家対応においても、炭素価格を織り込んだ中長期戦略の策定に有用。

In the global GX context

Globally, the steel sector faces pressure to decarbonize amid rising carbon pricing mechanisms and transition finance. This paper provides a rigorous optimization framework that integrates carbon price dynamics into technology retrofit decisions, offering a replicable model for other carbon-intensive industries. It contributes to the literature on climate policy and industrial decarbonization, relevant for ISSB-aligned disclosure and transition planning.

👥 読者別の含意

🔬研究者:Provides a novel optimization model integrating carbon price dynamics with technology selection for steel decarbonization, useful for further research on industrial transition pathways.

🏢実務担当者:Offers a decision-support tool for steel companies to prioritize low-carbon retrofits under budget constraints and carbon price uncertainty.

🏛政策担当者:Highlights how carbon pricing influences investment in low-carbon technologies, informing policy design for industrial decarbonization.

📄 Abstract(原文)

This paper investigates low-carbon retrofit strategies for BF-BOF integrated steel plants under different budget levels, considering carbon price dynamics. An optimization model that incorporates carbon price is developed to select technology portfolios from 22 prevailing technologies and provide the retrofit strategies under high, medium, and low budget levels. The dynamics of carbon prices are incorporated based on expert forecasts and survey data, reflecting expected long-term trends and market volatility in China’s carbon trading system. Under these budget scenarios, the economic and environmental performance of the resulting strategies is then evaluated in terms of their expected returns, annual CO2 reductions, and post-retrofit emission intensity. A process-level analysis further reveals that investment allocation and decarbonization characteristics vary across budget levels. Furthermore, robustness and sensitivity analyses confirm the stability of the main results under alternative parameter settings. These findings provide practical insights for steel enterprises to design adaptive low-carbon retrofit strategies that account for their investment capacities and the evolving carbon price.

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