Electricity-Carbon Collaborative Optimization of Electrolytic Aluminum Load Considering Green Certificate-Carbon Trading and Demand Response
グリーン証書・カーボン取引とデマンドレスポンスを考慮した電解アルミニウム負荷の電力・炭素協調最適化 (AI 翻訳)
Xiaoyu Yue, Siyang Liao, Lijun Fu, Jian Xu, Yuanzhang Sun, Liangzhong Yao, Deping Ke
🤖 gxceed AI 要約
日本語
本論文は、グリーン証書・カーボン取引とデマンドレスポンスを統合した電解アルミ負荷の電力・炭素協調最適化モデルを提案。実工場のケーススタディにより、モデルが正味便益を増加させつつエネルギー消費と排出量を削減することを実証した。感度分析で結果の頑健性も確認。
English
This paper proposes an electricity-carbon collaborative optimization model for electrolytic aluminum loads integrating green certificate trading, carbon emissions trading, and demand response. A real-plant case study shows the model increases net benefits while reducing energy consumption and carbon emissions, with sensitivity analysis confirming robustness.
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
日本の電解アルミ産業はエネルギー多消費であり、カーボンプライシングやグリーン証書制度の活用が進む中、本モデルは工場レベルの最適化に示唆を与える。ただし、日本の電力市場特性（卸市場・容量市場）との整合性はさらなる検討が必要。
In the global GX context
This work is globally relevant for energy-intensive industries facing carbon pricing and renewable certificate obligations, demonstrating how demand response can be optimized for both economic and environmental gains. It contributes to the growing literature on industrial decarbonization through multi-market coordination.
👥 読者別の含意
🔬研究者:Methodological contribution: a stochastic optimization model integrating carbon trading, green certificates, and demand response for industrial loads, with practical validation.
🏢実務担当者:For industrial facility managers: shows how to leverage demand response and carbon markets to reduce costs and emissions in electrolytic aluminum production.
🏛政策担当者:Highlights the importance of coordinated carbon and renewable certificate markets to incentivize industrial flexibility and decarbonization.
📄 Abstract（原文）
Due to its large capacity and rapid adjustment capability, the electrolytic aluminum load (EAL) possesses significant potential for flexibility and can participate in demand response (DR) to alleviate peak regulation pressures on the power system. Within the frameworks of carbon emissions trading (CET), green-certificate trading (GCT), and renewable portfolio standards (RPS), the electricity-carbon benefits of the EAL acting as a multi-market participant are tightly coupled. Therefore, it is imperative to develop an electricity–carbon collaborative optimization strategy for EALs participating in DR. First, based on the dynamic carbon emission characteristics of EAL, a GCT-CET coupling model is constructed, and the ladder CET cost structure is enhanced to better characterize carbon trading expenses. Then, the production regulation model, regulation benefit model, and DR model are formulated for the EAL. Finally, considering the uncertainty of on-site photovoltaic (PV) generation, a stochastic electricity-carbon optimization model is proposed, incorporating GCT, CET, and DR, with the objective of maximizing the comprehensive net benefits. A real-plant case study demonstrates that the proposed model increases the EAL’s comprehensive net benefit while substantially reducing average energy consumption and total CEs. Sensitivity analyses with respect to the compensation price coefficient, carbon-quota auction ratio, and carbon-quota reduction ratio further verify robustness. Overall, the results indicate that electricity-carbon co-optimization enables EAL participation in DR to deliver both economic and environmental benefits.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tsg.2025.3632887first seen 2026-05-05 22:51:48
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