Optimal Day-ahead Scheduling for Industrial Integrated Energy Systems Considering Flexibility of Renewable Power-to-X
再生可能エネルギー由来のPower-to-Xの柔軟性を考慮した産業統合エネルギーシステムの日前最適スケジューリング (AI 翻訳)
Tingting Zhang, Wen Zhang, Feng Gao
🤖 gxceed AI 要約
日本語
本論文では、再生可能エネルギー由来の多種P2X（水素、メタン、アンモニア）の柔軟性を考慮した産業統合エネルギーシステム（IES）の日前最適スケジューリング戦略を提案する。各P2X設備の原理と反応プロセスに基づくモデル化を行い、ハイブリッド蓄電と電気ヒーターも組み込む。最適化の目的は総運転コスト最小化であり、物質・エネルギー収支と連成関係を制約とする。数値結果は、運用経済性と再生可能エネルギー受容性、脱炭素効果の向上を示す。
English
This paper proposes an optimal day-ahead scheduling strategy for industrial integrated energy systems (IES) considering the flexibility of multiple renewable power-to-X (P2X) processes producing hydrogen, methane, and ammonia. Models for each P2X equipment based on reaction principles and processes are established, along with hybrid storage and electric heaters. The optimization minimizes total operating cost under substance and energy balance constraints. Numerical results show improved economy, renewable accommodation, and decarbonization.
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
本手法は、日本の水素・アンモニアサプライチェーン構築や産業クラスターの脱炭素化に応用可能。特に、再生可能エネルギー余剰を活用したグリーン化学品生産の効率化に貢献する。
In the global GX context
This study addresses the integration of multiple P2X technologies in industrial energy systems, which is globally relevant for decarbonizing hard-to-abate sectors. The optimization framework can inform the design of hybrid renewable energy storage and conversion systems.
👥 読者別の含意
🔬研究者:Provides a multi-P2X scheduling model with coupled energy and material flows, useful for advancing industrial decarbonization optimization.
🏢実務担当者:Applicable for plant operators to reduce costs and increase renewable utilization through coordinated P2X scheduling.
🏛政策担当者:Highlights the potential of multi-P2X systems for renewable integration and industrial decarbonization, informing policy support for such technologies.
📄 Abstract（原文）
Renewable power-to-X (P2X) shows great potential in storing excess renewable energy while providing a decarbonization pathway to produce green chemicals. In this paper, an optimal day-ahead scheduling strategy for industrial integrated energy systems (IES) considering the flexibility of multi-type renewable P2Xs, which produce hydrogen, methane, and ammonia with excess renewables. Firstly, the models for multi-type P2X equipment are established, considering their reaction principles and reaction processes. The hybrid energy storage and the electric heater are also modeled. Then, an optimization model for day-ahead scheduling for the industrial IES is established. The objective of this optimization is to minimize the total operating cost of the industrial IES. The constraints take into account the substance flow balance among different P2X productions, the electric and thermal energy balance, and their coupling relationships. Numerical results show that the proposed method can enhance the operating economy, renewable energy accommodation, and decarbonization.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/pesim67009.2026.11438937first seen 2026-05-15 19:14:27 · last seen 2026-06-16 05:07:38
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