電力取引からの間接炭素排出を考慮したマルチエネルギー・マイクログリッドの低炭素運用最適化
Optimization of Low-Carbon Operation for Multi-Energy Microgrids Considering Indirect Carbon Emissions from Electricity Trading (原題)
YI Tao, LIANG Xiang, LIU Yuan
🤖 gxceed AI 要約
日本語
電力・熱・ガスのエネルギー流制約と需要応答を組み込んだマルチエネルギー・マイクログリッドの運用最適化モデルを構築。購入電力の取引経路に基づき間接炭素排出を按分し、負荷側主体間の炭素会計責任を精緻化した。従来の需要応答と比べ日次運用コストを3.90%削減、総排出量を552.63kg（50.84%）削減。地域平均排出係数法と比べ間接排出を44.23%削減した。
English
A low-carbon operation optimization model for multi-energy microgrids integrates electricity, heat, and gas flow constraints with demand response. Indirect emissions from purchased power are allocated by transaction path, refining carbon accounting responsibility among load-side entities. Versus conventional demand response, daily cost falls 3.90% and total emissions drop 552.63 kg (50.84%); versus regional average emission factors, indirect emissions fall 44.23%.
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
Scope 2算定におけるロケーション基準とマーケット基準の差異、電力取引経路に基づく排出按分は、SSBJやGHGプロトコルScope 2ガイダンス対応を検討する日本企業にとって実務的示唆が大きい。需要応答と炭素会計を統合する発想は、需給調整市場や非化石証書活用の議論にも通じる。
In the global GX context
The paper operationalizes path-based (market-based) allocation of purchased-electricity emissions, directly relevant to the Scope 2 location-vs-market-based debate under GHG Protocol and ISSB/CSRD disclosure. It shows how demand response can be co-optimized with carbon accounting responsibility, informing transition-planning and electricity procurement disclosure.
👥 読者別の含意
🔬研究者:電力取引経路に基づく間接排出按分と需要応答を統合した最適化手法は、Scope 2算定研究の新たなモデル化手法として参考になる。
🏢実務担当者:購入電力の調達経路を炭素会計に反映させる考え方は、Scope 2マーケット基準算定や再エネ調達戦略の設計に応用できる。
🏛政策担当者:取引経路別の排出按分は、電力市場における排出責任配分や非化石証書制度の設計議論に示唆を与える。
📄 Abstract（原文）
[Objective] To accurately reflect the carbon emission differences on the load side， fully account for the total carbon emissions generated during system operation， and explore the potential of low-carbon demand response， a low-carbon operation optimization model for multi-energy microgrids considering indirect carbon emissions from electricity transactions is proposed. [Methods] First， an operation optimization model of multi-energy microgrids was established based on the energy flow constraints of electricity， heat and gas， as well as the complementary demand response characteristics of multi-energy carriers. To precisely differentiate carbon accounting responsibilities among load-side entities， indirect carbon emissions from purchased electricity were quantified according to power transaction paths， and the source and path allocation of purchased power were incorporated into optimization decisions. Furthermore， a low-carbon operation optimization model for multi-energy microgrids integrating demand response was developed. The model was formulated in the MATLAB environment using the YALMIP toolbox and solved by the CPLEX solver. [Results] Compared with the conventional demand response scheme without indirect carbon emission costs， the daily system operation cost decreases by 3.90%， and the total system carbon emissions drop by 552.63 kg， representing a reduction of 50.84%. In contrast to the regional average carbon emission factor method， the indirect carbon emissions of the system under the power transaction contract path are reduced by 547.46 kg， achieving a decline of 44.23%. [Conclusions] The proposed method provides theoretical and model references for the economical and low-carbon operation of multi-energy microgrids， and effectively stimulates the enthusiasm of end-users for low-carbon response.
🔗 Provenance — このレコードを発見したソース
- openalex https://doaj.org/article/f303293122264ffda275de4b3279524efirst seen 2026-11-03 04:49:14 · last seen 2026-11-06 04:46:07
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