Low-Carbon Optimal Scheduling of IES Considering Dynamic Carbon-Green Certificate Coupling and CCS Multi-Source Energy Supply
IESの低炭素最適スケジューリング：動的炭素・グリーン証書カップリングとCCS多源エネルギー供給を考慮して (AI 翻訳)
Lei Zhang, Qin Li, Xianxin Gan
🤖 gxceed AI 要約
日本語
中国北方の暖房需要増加に伴うCHPユニットの高炭素排出問題に対し、CCSの多源エネルギー供給と動的炭素・グリーン証書カップリングを組み込んだ低炭素最適スケジューリングモデルを提案。情報ギャップ決定理論（IGDT）を用いて不確実性に対処し、複数シナリオのシミュレーションにより経済性と低炭素性能の向上を確認した。
English
This paper proposes a low-carbon optimal scheduling model for integrated energy systems (IES) with CCS, incorporating a dynamic coupling mechanism between carbon and green certificates. Using IGDT for uncertainty, the model minimizes operating costs while improving low-carbon performance, validated through multi-scenario simulations in northern China.
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
中国のCHPを対象とするが、炭素・グリーン証書の動的カップリングは日本のカーボンクレジット制度やグリーン証書市場の設計に参考となる。日本のGX政策におけるCCS導入や証書制度の連携強化に示唆を与える。
In the global GX context
This study advances low-carbon scheduling by integrating CCS with dynamic carbon-green certificate coupling, relevant for regions with coal-heavy CHP. It offers a novel approach to carbon pricing and certificate markets that could inform global best practices for decarbonizing district heating.
👥 読者別の含意
🔬研究者:Provides a novel optimization model combining CCS with carbon and green certificate markets under uncertainty, useful for energy system modeling.
🏢実務担当者:Offers insights for energy operators on integrating CCS and carbon trading to reduce emissions while maintaining economic viability.
🏛政策担当者:Demonstrates how dynamic carbon-green certificate coupling can enhance market effectiveness; relevant for designing carbon pricing and renewable certificate systems.
📄 Abstract（原文）
With the sharp increase in winter heating demand in northern China, the carbon emissions of combined heat and power (CHP) units remain high. This paper proposes a low-carbon optimal scheduling model for the system, considering the dynamic carbon-green certificate coupling and the multi-source energy supply of carbon capture and storage (CCS). Firstly, we analyze the thermal and electrical demand characteristics of the installed CCS and optimize its supply mode, and propose the corresponding low-carbon operation strategy for the CHP-CCS unit. Secondly, a dynamic coupling mechanism of carbon-green certificates with the acquisition volume of green certificates and the trading volume of carbon emission rights as the interaction medium should be constructed. The transmission effect of the historical trading volume on the current period should be achieved through dynamic prices, and a low-carbon economic scheduling model with the goal of minimizing operating costs should be established. Again, for the source-load uncertainty, by integrating the entropy weight method and the information gap decision theory, an IES optimization scheduling model based on the information gap decision theory method (IGDT) is established. Finally, through multi-scenario case simulation verification, the results confirmed that the proposed model can effectively improve the economy and low-carbon performance of the system.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/electronics15050999first seen 2026-05-15 17:11:22
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