A Hybrid Time Scale Production Simulation Method for Electricity-Hydrogen Integrated Energy Systems
電気-水素統合エネルギーシステムのためのハイブリッド時間スケール生産シミュレーション手法 (AI 翻訳)
Youxin Chen, Kuan Zhang, Nian Liu
🤖 gxceed AI 要約
日本語
本論文は、電気-水素統合エネルギーシステム（EHES）に対して、再エネから水素を製造する際の効率-電力-時間特性を考慮し、電解槽の劣化モデルを導入したハイブリッド時間スケールの時系列生産シミュレーション手法を提案する。8760時間の運用を対象に、状態空間行列と適応的並列計算アルゴリズムを用いて高次元モデルを効率的に解き、経済性と系統親和性の向上を実証した。
English
This paper proposes a hybrid time-scale production simulation method for electricity-hydrogen integrated systems. It models green hydrogen production efficiency-power-time characteristics and electrolyzer lifespan degradation. A state-space matrix and adaptive parallel computing algorithm solve the 8760-hour annual simulation efficiently. Case studies show improved economic performance and grid compatibility.
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、再エネ由来水素の安定供給と系統への統合を最適化するものであり、日本の水素基本戦略やグリーン水素導入拡大に貢献し得る。ただし、現状の国内制度やSSBJに直接関連するものではない。
In the global GX context
This paper contributes to the global hydrogen energy transition by providing a sophisticated operational optimization framework for electricity-hydrogen systems. It advances the modeling of green hydrogen production dynamics and electrolyzer degradation, which can inform investment and operational decisions in renewable-hydrogen projects.
👥 読者別の含意
🔬研究者:This paper offers a novel hybrid simulation method and efficient parallel computing algorithm for integrated energy systems.
🏢実務担当者:The method can be used to optimize operation and design of actual electricity-hydrogen plants, improving economic viability.
🏛政策担当者:The findings can inform policies supporting grid integration of hydrogen and renewable energy systems.
📄 Abstract（原文）
This paper proposes a hybrid time scale time-series production simulation (TPS) method considering the interplay between electricity-hydrogen energy, aiming at enhancing the operational economy and grid compatibility of electricity-hydrogen integrated energy systems (EHESs). The “efficiency-power-time” characteristics of green hydrogen production from renewable energy sources (RESs) are revealed to facilitate the stable supply of hydrogen, and an electrolyzer lifespan degradation model is developed to quantify the impact of fluctuating electrolysis power. A hybrid time scale electricity-hydrogen cooperative TPS model over 8760 h is constructed, where a state-space matrix is formulated to describe the energy production, conversion and storage within the EHESs. To efficiently solve this high-dimensional TPS model, an inertia-accelerated parallel computing algorithm of dynamic adaptive multipliers (IADPC) considering the annual temporal order preservation is designed to divide the 8760-hour period into smaller sub-periods, where inertial acceleration iteration direction is calculated through a linear combination of iteration directions from the neighboring iterations and multipliers adaptively adjust the penalty factor size. Moreover, a matrix decomposition method based on Givens rotation is developed to transform the complex electricity-hydrogen coupling state-space matrix into the upper triangular and orthogonal matrices for further dimensionality reduction. Comparative case studies have validated the superiority of the proposed methodology on economic operation performance and grid compatibility of EHESs.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tste.2025.3620469first seen 2026-05-15 20:02:56
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