Optimal Operation of Grid-Connected Renewable Power to Ammonia System Considering the Dynamic Time Interval Regulation Strategy
動的時間間隔調整戦略を考慮した系統連系型再生可能エネルギー-アンモニアシステムの最適運用 (AI 翻訳)
Chunyan Li, Kaiwen Hou, Tao Wu, Kaigui Xie, Ruoxuan Wang
🤖 gxceed AI 要約
日本語
本論文は、再生可能エネルギー由来水素を原料とするアンモニア合成（RePtA）システムの最適運用モデルを提案。動的時間間隔調整（DTIR）戦略を導入し、変動性再エネとアンモニア負荷の両方を考慮した柔軟な運用を実現。不確実性に対処するための分布情報ギャップ決定理論手法も組み合わせ、実プロジェクトへの適用可能性を示した。
English
This paper proposes an optimal scheduling model for grid-connected renewable power-to-ammonia (RePtA) systems to enable deep decarbonization of the chemical industry. A dynamic time interval regulation (DTIR) strategy enhances operational flexibility under renewable volatility, and a distributionally information gap decision theory method addresses multiple uncertainties. Numerical simulations on a real project validate the framework.
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
日本はアンモニアを水素キャリア・燃料として位置づけ、グリーンアンモニアの導入を推進中。本モデルは系統連系型RePtAの運用最適化に資し、日本の化学産業の脱炭素化やエネルギー政策（GX基本方針）との親和性が高い。
In the global GX context
Ammonia is a key energy carrier for global decarbonization, particularly in the chemical sector. This optimization framework addresses the integration of variable renewables with ammonia synthesis, offering operational strategies that can be applied in countries pursuing hydrogen/ammonia supply chains, including Japan and Europe.
👥 読者別の含意
🔬研究者:The DTIR strategy and distributionally robust optimization method offer novel approaches for integrating renewables into chemical processes.
🏢実務担当者:Chemical plants and energy operators can use the model to optimize power-to-ammonia operations, improving cost-efficiency and grid flexibility.
🏛政策担当者:Highlights the need for supportive policies for flexible operation of Power-to-X systems to maximize renewable integration.
📄 Abstract（原文）
Renewable power to ammonia (RePtA) is a promising pathway to facilitate large-scale integration of green energy and serves as a key technological route for deep decarbonization of the chemical industry. However, the inherent volatility of renewable energy (RE) generation challenges the secure operation of ammonia synthesis (AS), demonstrating the urgent need to develop flexible operational strategies for RePtA systems. This paper proposes an optimal scheduling model for the grid-connected RePtA system. A dynamic time interval regulation (DTIR) strategy of AS is first proposed to enhance operational flexibility. This strategy decomposes each regulation interval into a fixed-duration transition stage and a variable-duration steady stage. The variable durations are jointly optimized with the quasi-steady-state ammonia loads. Then, an equivalent transformation and structural simplification approach is developed to derive a tractable MILP reformulation. Finally, the entropy weighted confidence level-based distributionally information gap decision theory method is introduced to address multiple RE uncertainties. Numerical simulations on a grid-connected RePtA project are conducted to verify the effectiveness of the proposed framework.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tste.2025.3647108first seen 2026-06-26 05:45:28
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