液体CO2エネルギー貯蔵を備えた統合エネルギーシステムの強化学習ベース二段階低炭素経済負荷配分
A reinforcement learning–based two-level low-carbon economic dispatch of integrated energy systems with liquid CO2 energy storage (原題)
Changgang Wang, Jiahao Xv, Yu Cao, Shengbao Xie
🤖 gxceed AI 要約
日本語
液体CO2エネルギー貯蔵（LCES）と炭素・酸素循環（P2G由来酸素をOCCへ、回収CO2をLCESとメタノール合成で協調）を組み合わせた統合エネルギーシステムを構築。PPOによる充放電戦略と下位MILPによる制約付き負荷配分の二段階枠組みを提案する。ケース分析では電池のみ構成比で運用コスト22.47%減、実質CO2排出15.94%減、再エネ出力抑制を解消。PPOはRLなしMILP比でコスト7.7%減、DDPG比で1.29%減、排出4.32%減を達成した。
English
This study builds an integrated energy system coupling liquid CO2 energy storage (LCES) with a closed carbon–oxygen loop: P2G oxygen feeds oxygen-enriched combustion capture while captured CO2 is shared between LCES and methanol synthesis. A PPO-based bi-level dispatch sets charge/discharge strategy with a lower-level MILP handling constraints. Versus a battery-only setup, operating cost falls 22.47% and actual emissions 15.94%, with no renewable curtailment; PPO beats no-RL MILP by 7.7% and DDPG by 1.29% on cost.
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、再エネ大量導入下の系統柔軟性・長期貯蔵・CCUSの統合運用に関わる技術的知見を提供する。企業の脱炭素投資判断や電力システム設計の参考になり得るが、開示制度との直接接続は薄い。
In the global GX context
Relevant to global decarbonization scholarship on long-duration storage and CCUS integration for grid flexibility and renewable accommodation. It offers an optimization template for low-carbon dispatch, though it does not engage TCFD/ISSB disclosure frameworks directly.
👥 読者別の含意
🔬研究者:強化学習とMILPを組み合わせた長期貯蔵・炭素循環の協調最適化手法として、エネルギーシステム研究の設計参考になる。
🏢実務担当者:長期貯蔵とCCUSを組み合わせた運用が、コストと排出の同時削減に寄与し得ることを示す定量的根拠として活用できる。
🏛政策担当者:再エネ出力抑制解消と系統柔軟性確保に向けた貯蔵・CCUS統合運用の政策的可能性を示唆する。
📄 Abstract（原文）
Integrated energy systems (IES) face increasing challenges in achieving low-carbon and economically efficient operation because of the strong inter-temporal coupling of long-duration energy storage and the limited coordination of carbon and oxygen utilization. However, the coordinated integration of long-duration liquid CO₂ energy storage (LCES) scheduling with carbon–oxygen recycling has received limited attention. To address this gap, this study develops a bi-level low-carbon economic dispatch framework. First, a coupled LCES–OCC–power-to-gas (P2G)–methanol synthesis system is established, in which the oxygen generated by P2G is supplied to oxygen-enriched combustion capture (OCC) and captured CO₂ is coordinated between LCES and methanol synthesis, forming a closed carbon–oxygen utilization loop. Second, a PPO-based bi-level scheduling architecture is developed for long-horizon LCES operation, with proximal policy optimization (PPO) determining the charge/discharge strategy and a lower-level mixed-integer linear programming (MILP) model performing constraint-based IES dispatch. Case studies show that the fully integrated configuration reduces total operating cost by 22.47% and actual carbon emissions by 15.94% compared with a battery-only configuration, while eliminating wind and solar curtailment. Compared with the configuration without LCES, the total operating cost is further reduced by 4.12%. Under the same integrated system, PPO reduces operating cost by 7.7% relative to the no-RL MILP strategy and by 1.29% relative to deep deterministic policy gradient (DDPG), while reducing actual carbon emissions by 4.32% compared with DDPG. Monte Carlo analysis achieves 97.7% feasibility with a 3.3% coefficient of variation in actual carbon emissions. These results demonstrate the potential of coordinated LCES and carbon–oxygen utilization for simultaneously improving the economic, renewable-accommodation, and low-carbon performance of IES.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-76085-9first seen 2026-11-07 04:55:02
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