Optimization Strategies for Flexibility-Oriented Supply–Demand Matching in Industrial Park Integrated Energy Supply Systems: A Review of Modeling, Scheduling, and Flexibility Utilization
産業団地統合エネルギー供給システムにおける柔軟性指向の需給マッチングの最適化戦略：モデリング、スケジューリング、柔軟性活用のレビュー (AI 翻訳)
Xueru Lin, Wei Zhong, Jing Li, Xingtao Tian, Hailong Zhang, Xiaojie Lin
🤖 gxceed AI 要約
日本語
本レビューは、産業団地の低炭素移行に向け、統合エネルギー供給システム（IESS）における需給マッチングの柔軟性最適化戦略を総合的に整理。設備・システムモデリング、多時間スケールでの運用最適化、変動条件への対応手法を検討し、AI（物理情報モデリング、大規模言語モデル、マルチエージェントシステム）の活用動向にも言及。今後の低炭素産業エネルギーシステム開発への理論的支援を提供する。
English
This review comprehensively examines optimization strategies for flexible supply-demand matching in industrial park integrated energy supply systems (IESS) to support low-carbon transition. It covers equipment and system modeling, operational optimization under deterministic, multi-time-scale, and uncertain conditions, and flexibility resource utilization across source-grid-load-storage links. Emerging AI-driven trends, including physics-informed modeling, large language models, and multi-agent systems, are also discussed. The review provides a unified analytical perspective for future low-carbon industrial energy systems.
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
中国の産業団地向けだが、統合エネルギーシステムの柔軟性最適化は日本の産業団地でもGX推進に寄与する。AI活用など最新動向も含み、日本企業のエネルギー管理・低炭素化戦略の参考になる。
In the global GX context
While focused on Chinese industrial parks, this review offers a framework for optimizing flexible energy systems that is globally applicable. It aligns with industrial decarbonization efforts under the Paris Agreement and can inform energy management practices in industrial sectors worldwide.
👥 読者別の含意
🔬研究者:Provides a comprehensive overview of modeling and optimization methods for IESS, useful for researchers working on industrial energy systems and flexibility.
🏢実務担当者:Energy managers in industrial parks can use the insights on scheduling and flexibility utilization to improve energy efficiency and reduce emissions.
🏛政策担当者:Offers a reference for designing policies that promote integrated energy systems and flexibility in industrial parks to achieve national decarbonization targets.
📄 Abstract（原文）
The low-carbon transition of industrial parks is driving an increasing demand for advanced energy systems. Integrated energy supply systems (IESSs), which couple multiple energy forms, offer a critical pathway to alleviate the high-carbon intensity of energy structures and supply–demand imbalances in industrial parks by enhancing energy efficiency and reducing carbon emissions. The rapid advancement of energy storage technologies, multi-energy system modeling, and advanced energy management strategies has further propelled the research and application of IESSs. This review comprehensively delineates the distinctions between IESSs and traditional energy systems, highlighting the architecture and operational characteristics of IESSs to elucidate the impacts of multi-energy coupling and source–grid–load–storage interactions. We examine existing equipment and system modeling approaches and load modeling methods, and discuss modeling techniques for variable operating conditions. We analyze operational optimization methods for IESSs under deterministic, multi-time-scale, and uncertain conditions, and investigate the utilization mechanisms of flexibility resources across source–grid–load–storage links to illustrate how system flexibility supports dynamic supply–demand coordination. The review also identifies emerging trends in AI-driven IESS operation, highlighting the integration of physics-informed modeling, large language models, and multi-agent systems. This review establishes a unified analytical perspective for flexible supply–demand matching within IESSs, offering theoretical support for the development of future low-carbon industrial energy systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19081903first seen 2026-05-17 07:02:48 · last seen 2026-05-29 05:29:14
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