Low‐Carbon Scheduling Strategy of Integrated Energy System Based on Improved Carbon Emission Flow and Green Certificate‐Carbon Joint Trading
改良炭素排出フローとグリーン証明書‐炭素連合取引に基づく統合エネルギーシステムの低炭素スケジューリング戦略 (AI 翻訳)
Yi Ding, Chunling Wang, Nian Liu, Chunming Liu
🤖 gxceed AI 要約
日本語
本論文は、統合エネルギーシステム(IES)の低炭素運用戦略を提案。まず、再生可能エネルギーや多エネルギー連携機器、蓄電装置を考慮した改良炭素排出フロー計算手法を開発し、時空間的な炭素排出追跡を可能にする。次に、動的炭素排出係数とグリーン証明書‐炭素連合取引メカニズムを導入し、発電側と需要側の協調による炭素削減を実現。二段階最適化モデルにより、システムの炭素排出責任の配分と経済性向上を示した。
English
This paper proposes a low-carbon scheduling strategy for integrated energy systems (IES) using an improved carbon emission flow method and a green certificate-carbon joint trading mechanism. The method quantifies carbon impacts of renewables, coupling components, and storage, enabling temporal and spatial carbon tracking. Dynamic carbon emission factors and joint trading drive source-load synergy for carbon reduction. A bi-level optimization model demonstrates improved carbon reduction and economic benefits.
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
日本でも再生可能エネルギー導入拡大に伴い、統合エネルギーシステムの低炭素運用が重要視されている。本論文の炭素排出フロー改善手法とグリーン証書・炭素連合取引メカニズムは、日本のGX政策やカーボンプライシング設計に示唆を与える可能性がある。
In the global GX context
This paper contributes to global GX scholarship by advancing carbon accounting and trading mechanisms for integrated energy systems. The dynamic emission factor and joint trading model offer a novel approach to carbon allocation and market design, relevant for countries developing carbon pricing and renewable certificate schemes.
👥 読者別の含意
🔬研究者:Provides a new carbon emission flow calculation and joint trading model for IES optimization, valuable for energy system and carbon accounting research.
🏢実務担当者:Offers insights for energy companies on low-carbon operation strategies and carbon trading integration.
🏛政策担当者:The joint trading mechanism and dynamic carbon factors inform carbon market design and renewable energy certificate policies.
📄 Abstract（原文）
To achieve the low‐carbon transformation of energy system, a low‐carbon optimal scheduling strategy for integrated energy systems (IESs) based on improved carbon emission flow and green certificate‐carbon joint trading is proposed. Firstly, based on the multi‐energy coupling characteristics of IES, the impacts of renewable energy generations (REGs), multi‐energy coupling components, and energy storage devices on the carbon flow distribution are quantified, and an improved carbon flow calculation method for IES is proposed to solve the tracing problem of the temporal and spatial transfer of carbon emissions caused by the power loss of coupling components and the operation of energy storage. Then dynamic carbon emission factor reflecting the temporal and spatial distribution characteristics is proposed in combination with the concept of carbon potential. Moreover, to deeply explore the potential of source‐load synergy for carbon reduction, a green certificate‐carbon joint trading mechanism is constructed on the power generation side by combining the green certificate carbon reduction mechanism and carbon trading, and on the load side, the dynamic carbon emission factor is used as the carbon price correction coefficient for energy consumption prices, driving users to respond synergistically to carbon‐energy. Finally, by combining the scheduling of the source‐side units with the demand response on the load side, a bi‐level optimal scheduling model considering the deep reduction of carbon by source‐load synergy is constructed. The simulation analysis of the case study shows that the proposed method achieves carbon measurement, carbon tracing, and reasonable allocation of carbon emission responsibilities in the IES, effectively improving the system's carbon reduction capacity and economic benefits.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1049/rpg2.70194first seen 2026-05-05 22:53:03
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