← 論文一覧に戻る

変動運転条件下における再生可能エネルギー由来グリーン水素製造・貯蔵システムのモデリング、協調制御および工学的応用:レビュー

Modeling, Coordinated Control and Engineering Applications of Renewable-Powered Green Hydrogen Production and Storage Systems Under Variable Operating Conditions: A Review (原題)

Yu-Hua Tan, Jun-Qi Guan, Xiu-Yang An

Sustainability📚 査読済 / ジャーナル2026-09-17#水素Origin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.3390/su18189552
原典: https://doi.org/10.3390/su18189552
📄 PDF

🤖 gxceed AI 要約

日本語

本レビューは、再エネ由来グリーン水素の製造・貯蔵システムにおける変動運転条件の分類と、それが効率・安定性・持続可能性に与える影響メカニズムを整理した。機器単体およびシステム協調制御について、機構駆動・データ駆動・ハイブリッドモデリングの進展と階層的協調制御の実装例を2020〜2026年の研究から概観する。MW級実証事例を踏まえ、大規模展開を妨げる技術的ボトルネックと今後の最適化方向を示す。

English

This review classifies variable operating conditions in renewable-powered green hydrogen production and storage systems and clarifies how they affect efficiency, stability, and sustainability. It surveys mechanism-driven, data-driven, and hybrid modeling advances plus hierarchical coordinated control strategies from 2020-2026, drawing on global megawatt-scale demonstrations. It identifies key technical bottlenecks and future optimization directions for scaled deployment.

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

日本は水素基本戦略とGX推進法のもと、再エネ余剰電力の水素転換と大規模貯蔵を脱炭素電源・産業熱の柱に位置づけている。本レビューは変動条件下の制御・モデリング知見を整理し、国内MW級実証や系統連系設計、水素サプライチェーン構築の技術的裏付けとして参考になる。

In the global GX context

Globally, green hydrogen is central to hard-to-abate decarbonization and long-duration storage, and this review consolidates modeling and control knowledge needed for bankable, scalable projects. It supports the technical due diligence behind hydrogen offtake, transition finance, and power-system integration claims in climate disclosure.

👥 読者別の含意

🔬研究者:変動条件下の水素システム制御・モデリング研究の最新動向と未解決課題を体系的に把握できる。

🏢実務担当者:再エネ水素プロジェクトの設計・運転安定性・効率評価における制御戦略選定の参考になる。

🏛政策担当者:水素大規模展開に向けた技術ボトルネックと支援すべき研究・実証領域の判断材料となる。

📄 Abstract(原文)

Green hydrogen production and storage systems based on renewable energy serve as a core solution to mitigating renewable energy curtailment fluctuations, remedying large-scale long-duration energy storage shortages, and supporting the low-carbon and sustainable development of energy systems. However, complex and dynamic variable operating conditions significantly affect system energy efficiency, operational stability, and comprehensive sustainability performance, restricting the engineering implementation and long-term operational performance of green hydrogen systems. This paper focuses on variable-condition modeling and control technologies for renewable-powered green hydrogen production and storage systems, reviewing major technological innovations and engineering advances reported from 2020 to 2026 while incorporating earlier foundational studies where necessary. It defines the core classification of variable operating conditions and clarifies their influencing mechanisms on system operational performance. In terms of individual equipment and system collaborative regulation, it also summarizes breakthroughs in mechanism-driven, data-driven, and hybrid modeling approaches, as well as the practical engineering applications of hierarchical collaborative control strategies. Based on global megawatt-scale demonstration practices, it further identifies the critical technical bottlenecks limiting the sustainable development and large-scale deployment of green hydrogen systems and outlines promising research and optimization directions for future exploration. The conclusions and prospects of this review provide insightful references for the adaptive optimization, stable and efficient operation, and scaled-up application of green hydrogen systems under variable operating scenarios, thereby facilitating their in-depth integration into emerging power systems and advancing the low-carbon transition and sustainable development of the energy sector.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。