炭素回収を考慮した需要供給連動型炭素取引下のキャンパスレベル仮想発電所の最適スケジューリング
Optimal scheduling of campus-level virtual power plant considering carbon capture under supply-demand interactive carbon trading (原題)
Qianhui Cai, Wei WANG, 季振亚, Xue HAN, Haiya QIAN
🤖 gxceed AI 要約
日本語
本論文は、需要供給連動型の炭素取引メカニズムを導入し、P2GとCCSを組み込んだパークレベルVPPの日前・当日統合最適スケジューリングモデルを提案する。総合便益の最大化とユーザーエネルギーコスト最小化を二目的とし、時間帯別料金と電力・熱の統合需要応答を採用。ケース分析では総合便益が比較群比で7.41〜22.25%向上し、ピーク・バレー差、炭素排出、スケジューリング誤差、ユーザーコストを低減できることを示した。
English
This paper proposes a day-ahead and intraday combined optimal scheduling model for park-level virtual power plants, integrating power-to-gas, carbon capture and storage, and a supply-demand interactive carbon trading mechanism. It dual-optimizes comprehensive VPP benefit and user energy cost using time-of-use pricing and integrated electric-thermal demand response. Case results show 7.41–22.25% higher comprehensive benefits versus control groups, with reduced peak-valley load difference, carbon emissions, scheduling errors, and user costs.
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
炭素取引とCCSを組み合わせたVPP運用は、日本でも進む需給調整市場・容量市場やカーボンプライシング議論、企業のRE100・脱炭素電源調達の設計に示唆を与える。パーク単位の低炭素運用モデルは、産業団体や大学キャンパスの脱炭素計画に応用可能。
In the global GX context
The paper links carbon trading design with CCS and demand response inside a VPP, relevant to global debates on carbon pricing, flexibility markets, and integrated decarbonization of industrial parks. It offers a quantitative scheduling framework that complements TCFD/ISSB transition-planning narratives by showing operational pathways to cut emissions and cost.
👥 読者別の含意
🔬研究者:炭素取引とCCS・需要応答を統合したVPP最適化の定式化と便益評価手法を参考にできる。
🏢実務担当者:産業パークやキャンパスの電力・熱運用で、炭素コストと需要応答を組み合わせたコスト・排出削減設計に活用できる。
🏛政策担当者:炭素取引制度と需給調整市場の設計において、VPPの柔軟性活用とCCSインセンティブの効果を検討する材料になる。
📄 Abstract（原文）
To promote the optimal resource allocation and low-carbon transition of virtual power plant (VPP), this paper adopts a supply-demand interactive carbon trading mechanism. Taking the maximum comprehensive benefit of park-level VPP and the minimum energy consumption cost of users as dual optimization objectives, a day-ahead and intraday combined optimal scheduling model for low-carbon economic operation is proposed, which takes power-to-gas (P2G) and carbon capture and storage (CCS) technologies into account. To improve economic efficiency and operational flexibility, time-of-use energy prices are adopted, and an integrated electric-thermal demand response mechanism is established. Meanwhile, supply-demand interactive carbon trading and CCS are incorporated into VPP operation to enhance low-carbon performance. Based on source-load uncertainty forecasting and energy flow regulation, typical VPP operation modes are constructed for verification and analysis. Case results show that the comprehensive benefits of the park-level VPP optimized by the proposed model are increased by 15.67%, 22.25%, 20.17% and 7.41% respectively compared with the control groups. The proposed model can effectively reduce the peak-valley load difference, system carbon emissions, scheduling errors and users' energy costs, and maximize the comprehensive benefits of the park VPP. Furthermore, it significantly improves the economic efficiency, low-carbon performance and operational flexibility of VPP operation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doaj.org/article/7da124da5c3c4c2d899ec4e6d5759298first seen 2026-10-25 04:44:19 · last seen 2026-10-31 04:55:14
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