クリーン水素生産のための原子力ハイブリッドエネルギーシステム：時間ステップ最適化によるリアルタイムマルチドメインハードウェアエミュレーション
Nuclear-Powered Hybrid Energy System for Clean Hydrogen Production: Time-Step-Optimized Real-Time Multi-Domain Hardware Emulation (原題)
Weiran Chen, Xinyu Zhao, V. Dinavahi
🤖 gxceed AI 要約
日本語
本論文は、原子力（SMR）と再生可能エネルギーを統合したクリーン水素生産システムのリアルタイム協調シミュレーションを実現するフレームワークを提案。異種物理領域間の最適な時間ステップを適応的に選択する手法を開発し、FPGAベースのハードウェアエミュレーションで検証した。結果、シミュレーション効率と実行時間が大幅に改善された。
English
This paper proposes a framework for real-time co-simulation of nuclear (SMR) and renewable energy systems for clean hydrogen production. It develops an adaptive method for selecting optimal time-steps across heterogeneous physical domains, validated via FPGA-based hardware emulation. Results show significant improvements in simulation efficiency and execution time.
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
日本の水素基本戦略やSMR開発計画と関連し、クリーン水素生産のシステム統合シミュレーション技術は国内のエネルギー政策に貢献し得る。ただし、具体的な日本市場への応用は間接的であり、技術的知見として参照されるべき。
In the global GX context
This work contributes to global efforts on clean hydrogen production and SMR integration, relevant to decarbonization pathways. The simulation framework could support system design and optimization for hydrogen hubs, aligning with international initiatives on hydrogen economy.
👥 読者別の含意
🔬研究者:Provides a novel simulation framework for multi-domain energy systems, useful for researchers in hybrid energy system modeling.
🏢実務担当者:Offers insights for engineering teams involved in designing integrated clean hydrogen production facilities.
📄 Abstract（原文）
Increasing global emphasis on decarbonization and the proliferation of renewable energy, energy storage, and nuclear power is driving a surge of research interest into integrated sustainable energy modeling, simulation, operation and control. Traditional electromagnetic transient (EMT) methods typically discretize electrical networks using the trapezoidal rule. When coupled with the ordinary differential equations (ODEs) of other physical domains, however, the absolute stability region of the numerical integration scheme can shift, and discrepancies in time constants across subsystems further complicate integration of disparate models. While the demand for integrating EMT with multi-domain co-simulations is increasing, existing commercial EMT simulation tools either lack support for multi-domain physical coupling or are not specifically optimized for such hybrid simulations. To address this gap, this paper proposes a robust multiscale time-step estimation (RMTE) framework that enables real-time co-simulation of EMT networks and multi-domain subsystems. The framework includes a fast, efficient, and adaptive approach for selecting the optimal maximum time-step across heterogeneous physical domains. The proposed method is validated through a case study involving small modular reactors (SMRs), wind farm, photovoltaics (PV) and low-temperature proton exchange membrane (PEM) electrolysis for clean hydrogen production. Real-time hardware co-emulation is achieved on a field-programmable gate array (FPGA)-based platform. The results demonstrate significant improvements in simulation efficiency and execution time.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/tec.2026.3658726first seen 2026-08-28 05:11:09 · last seen 2026-09-22 05:03:21
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