エネルギー・炭素同時価格設定と柔軟な負荷を考慮した統合エネルギーシステムの二段階最適化モデル
A bi-level optimization model for integrated energy systems incorporating energy-carbon co-pricing and flexible loads (原題)
Yang P, Wang T, Liu C, Shi X, Zhang Z
🤖 gxceed AI 要約
日本語
本論文は、統合エネルギーシステム（IES）における需要側の炭素責任を明確化するため、炭素排出フロー追跡とノード炭素強度（NCI）を需要応答（DR）に組み込む枠組みを提案。二段階最適化モデルにより系統と負荷を協調させ、NCI誘導DRでコスト2.26%・排出4.96%削減、CET-GCT併用でコスト24.85%・排出10.53%削減を実証。
English
This paper proposes a carbon emission flow tracking framework embedding node carbon intensity (NCI) into demand response for integrated energy systems, enabling load-side carbon responsibility allocation. A bi-level optimization coordinates grid and load aggregators, achieving 2.26% cost and 4.96% emission reductions with NCI-guided DR, and 24.85% cost and 10.53% emission reductions when combined with CET-GCT.
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
日本では、カーボンプライシング導入や需要側の排出削減が課題となる中、本提案は需要家のDRを通じた排出削減の実践的枠組みを提供。SSBJ開示や排出量取引制度の設計に示唆を与える。
In the global GX context
Globally, this paper contributes to demand-side carbon responsibility allocation and carbon pricing mechanisms, aligning with emerging carbon markets and energy system decarbonization. It offers a practical approach for integrating carbon signals into demand response, relevant for policy design and market mechanisms.
👥 読者別の含意
🔬研究者:Provides a novel bi-level optimization framework integrating carbon emission flow and demand response, with quantitative results on cost and emission reductions.
🏢実務担当者:Offers a method for load aggregators and energy managers to incorporate carbon intensity into demand response decisions, potentially reducing costs and emissions.
🏛政策担当者:Demonstrates a market mechanism for load-side carbon responsibility, informing carbon pricing and demand response policy design.
📄 Abstract（原文）
Market mechanisms for low-carbon operation of integrated energy systems (IES) remain largely supply-side oriented, while the load-side lacks an explicit and traceable carbon responsibility scheme. This paper proposes a carbon emission flow (CEF) tracking framework that embeds node carbon intensity (NCI) into demand response (DR) decisions of load aggregators (LAs). First, a source-grid-load-storage CEF model is developed to trace indirect emissions and allocate load-side carbon responsibility via NCI. Second, an NCI guided energy-carbon co-pricing mechanism is designed to support low-carbon DR of flexible loads. Third, a bi-level model is formulated to coordinate the main network and LAs, where NCI and energy demand are iteratively exchanged to form a closed loop for source-load coordinated carbon reduction. Case studies demonstrate that NCI guided DR reduces aggregated LA cost by 2.26% and the total carbon emissions by 4.96% compared with the baseline. With the further incorporation of the carbon emission trading-green certificate trading (CET-GCT) mechanism, the complete model achieves overall reductions of 24.85% in aggregated LA cost and 10.53% in total carbon emissions, while promoting renewable energy utilization. The proposed strategy provides an implementable pathway for demand-side carbon responsibility allocation and low-carbon economic operation of IES.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.22541/authorea.15008434/v1first seen 2026-09-09 04:04:34 · last seen 2026-09-21 04:22:29
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