Research on carbon flow calculation method for integrated energy systems based on dynamic weight carbon entropy index
動的重み付けカーボンエントロピー指標に基づく統合エネルギーシステムの炭素流計算手法の研究 (AI 翻訳)
Zhang Zhang, Lijie Zhang
🤖 gxceed AI 要約
日本語
本論文は、統合エネルギーシステムにおける炭素フロー計算の精度向上を目的とし、動的重み付けカーボンエントロピー指標を提案する。この指標に基づき低炭素指標体系を構築し、総炭素排出量最小化を目的とする最適化モデルを確立する。実験により、提案手法がシステムの総有効電力曲線を実際の負荷予測値に近づけることを示した。
English
This paper proposes a carbon flow calculation method for integrated energy systems using a dynamic weight carbon entropy index. It constructs a low-carbon index system and an optimization model to minimize total carbon emissions. Experiments show the method's total active power curve closely aligns with actual load predictions, providing a quantitative basis for low-carbon scheduling.
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GX文脈では、統合エネルギーシステムの炭素フロー計算は、SSBJやカーボンアカウンティングの基礎技術として重要である。特に、地域間の炭素排出移転の可視化は、サプライチェーン排出量算定に寄与する可能性がある。
In the global GX context
Globally, this method contributes to precise carbon accounting in complex energy systems, supporting the technical infrastructure for TCFD and ISSB-aligned disclosure. It offers a quantitative approach to optimize low-carbon scheduling across multi-energy networks.
👥 読者別の含意
🔬研究者:Provides a novel carbon flow calculation method with dynamic weight entropy index for integrated energy systems.
🏢実務担当者:Offers a quantitative tool for low-carbon scheduling and carbon emission tracking in multi-energy networks.
🏛政策担当者:Can inform the development of carbon accounting standards for integrated energy systems.
📄 Abstract（原文）
In integrated energy systems, only energy transfer coefficients can be defined, leading to low accuracy in carbon flow calculation. To address this issue, a carbon flow calculation method for integrated energy systems based on the dynamic weight carbon entropy index is proposed. Based on the dynamic weight carbon entropy index, a low-carbon index system for the comprehensive energy system is constructed, and the inter regional energy transfer coefficient and regional carbon emission transfer coefficient are defined accordingly. Establish an optimization model with the goal of minimizing total carbon emissions, taking into account operational economy and state variables exceeding limits. Consider the balance of electricity/heat/gas networks and energy storage and load constraints. Substitute the carbon emission coefficients of fixed and variable heat to power ratio energy supply units into the model and solve it to achieve accurate calculation of system carbon flow distribution. The experimental results show that during the period of 0-6 hours, the maximum total active power calculated by the method in this paper is 33.2 MW. During the period of 18-24 hours, the maximum total active power is 89.6 MW, and the trend of the system's total active power curve is closest to the actual load prediction value curve. This provides a reliable quantitative basis for the low-carbon optimization scheduling of the system.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1049/icp.2026.2146first seen 2026-06-24 04:57:28
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