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Marginal Carbon Emission Factor-Driven Low-Carbon Demand Response Mechanism: A Pathway Toward Power System Sustainability

限界炭素排出係数に基づく低炭素デマンドレスポンスメカニズム:電力システムの持続可能性への道筋 (AI 翻訳)

Feng Pan, Chen Yang, Yuyao Yang, Yuliang Liu, Lei Feng

Sustainability📚 査読済 / ジャーナル2026-04-30#エネルギー転換Origin: CN
DOI: 10.3390/su18094398
原典: https://doi.org/10.3390/su18094398

🤖 gxceed AI 要約

日本語

本論文は、従来の平均炭素排出係数に代わり、限界炭素排出係数(MCEF)を用いた低炭素デマンドレスポンスメカニズムを提案。MCEFは需要変動によるリアルタイムの排出影響を高感度に反映し、再生可能エネルギーの予測誤差も考慮。修正PJM-5システムでの検証により、従来手法より優れた脱炭素性能を示した。

English

This paper proposes a novel low-carbon demand response mechanism using marginal carbon emission factors (MCEF) instead of average factors. MCEF provides high-sensitivity signals for real-time emission impacts of load changes, accounting for renewable energy forecast errors. Case studies on the modified PJM-5 system demonstrate superior decarbonization performance over conventional methods.

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

本論文は中国の電力市場改革と「双炭」目標に直結する内容だが、日本でも需給調整市場や容量市場との連動が進む中、限界排出係数の活用は政策実装の参考になる。

In the global GX context

While China-focused, the MCEF-driven mechanism offers a globally relevant approach to demand-side decarbonization, especially for integrating variable renewables. It aligns with ISSB's emphasis on marginal vs. average emissions and could inform carbon accounting standards.

👥 読者別の含意

🔬研究者:Methodology of using marginal carbon emission factors for demand response, including uncertainty modeling, advances the field of power system decarbonization.

🏢実務担当者:Utility or aggregator operators can adopt MCEF signals to design more effective tariff or incentive programs for demand-side emission reduction.

🏛政策担当者:Regulators in carbon markets or power system planning can consider MCEF-based mechanisms to better align demand response with system-level decarbonization.

📄 Abstract(原文)

The low-carbon transition of the power sector is fundamental to achieving “Dual Carbon” goals, where demand-side management plays an increasingly vital role in transforming flexible loads into renewable energy accommodation and active emission-reduction resources. However, existing low-carbon demand response mechanisms based on dynamic carbon emission factors only reflect average system states and fail to quantify the incremental carbon impact of marginal load changes. To address this limitation, this paper proposes a novel marginal carbon emission factor-driven low carbon demand response mechanism. Unlike traditional methods, the proposed mechanism utilizes marginal carbon emission factors as a high-sensitivity guiding signal to inform users of the real-time emission and renewable energy consumption variations caused by their consumption adjustments. Furthermore, considering the forecasting errors of high-penetration renewable energy, the uncertainty of marginal carbon emission factors is explicitly considered. Case studies are conducted to compare the proposed method with the conventional method through comparative analyses based on the modified PJM-5 system. Results demonstrate that the MCEF-driven approach provides more precise carbon-reduction and renewable energy utilization signals to achieve superior system-wide decarbonization performance and sustainable development.

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