A Bi‐Level Optimization Model for Carbon Reduction in Multi‐Echelon Power Equipment Supply Chains Under Carbon Quota and Trading
炭素クォータと取引下における多階層電力機器サプライチェーンの炭素削減のための二段階最適化モデル (AI 翻訳)
Wei Xu, Lu Zhang, Grace Kouassi
🤖 gxceed AI 要約
日本語
本論文は、炭素クォータと取引政策下での多階層電力機器サプライチェーンにおける炭素削減のための二段階最適化フレームワークを提案する。上層モデルは全ライフサイクル排出量を最小化し、下層モデルは経済的利益を最大化する。変圧器とインバータのデータを用いたシミュレーションにより、炭素価格が削減と収益の両方を促進することが示された。また、削減コスト係数が重要な因子であり、閾値を超えると投資障壁が生じることを明らかにした。
English
This paper proposes a bi-level optimization framework for coordinating carbon abatement across the multi-echelon power equipment supply chain under carbon quota and trading policies. The upper model minimizes lifecycle emissions, while the lower model maximizes economic profit. Simulations using transformer and inverter data show that carbon price creates dual incentives for abatement and revenue generation. The abatement cost coefficient is the dominant factor, and its superlinear escalation creates investment barriers beyond critical thresholds.
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
この研究は、炭素価格政策がサプライチェーン段階ごとに異なる技術的対応を引き起こすことを定量的に示しており、日本のGX推進におけるサプライチェーン全体での排出削減策を検討する上で参考となる。
In the global GX context
This paper provides a quantitative tool to translate carbon policies into echelon-specific technical guidance, which is globally relevant for designing effective carbon pricing mechanisms and supply chain decarbonization strategies.
👥 読者別の含意
🔬研究者:This paper offers a novel bi-level optimization model for supply chain carbon reduction, with insights on how carbon price and cost coefficients affect abatement across tiers.
🏢実務担当者:The framework and simulation results can guide supply chain managers in setting production targets, abatement rates, and transfer pricing under carbon quota and trading schemes.
🏛政策担当者:The study highlights how carbon price and quota policies create dual incentives, and the superlinear cost escalation suggests careful design of carbon price levels to avoid investment barriers.
📄 Abstract（原文）
The decarbonization of power systems is hindered by substantial embodied carbon from critical equipment manufacturing. This paper proposes a bi‐level optimization framework to coordinate carbon abatement across the multi‐echelon power equipment supply chain under carbon policies. The upper level model minimizes total lifecycle emissions by setting production targets. The lower level model maximizes the supply chain's economic profit through production scaling, abatement rates, and transfer pricing. A tailored genetic algorithm solves this NP‐hard problem. Simulations using transformer and inverter data validate the framework. Results show carbon price creates dual incentives, driving carbon abatement and generating revenue via quota management. The abatement cost coefficient is the dominant factor. Its superlinear escalation creates investment barriers once critical thresholds are passed. Analysis reveals distinct technological responses: manufacturers achieve the highest reduction rates (78.3%–98.5%) via system‐level innovation; suppliers attain 56.2%–68.5% reductions via component‐level optimization; and distributors contribute 10.7%‐38.6% abatement through logistics. This work provides a quantitative tool to translate carbon policies into echelon‐specific technical guidance for a cost‐effective decarbonisation.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1049/rpg2.70202first seen 2026-05-05 22:47:45
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