Advanced Control Strategies for Power-to-X Systems: Enhancing Green Hydrogen Production from Variable Renewable Energy Sources
P2Xシステムの高度制御戦略：変動再生可能エネルギーからのグリーン水素生産強化 (AI 翻訳)
S. O. Oyakhilome, D. J. Koffa
🤖 gxceed AI 要約
日本語
本論文は、変動再エネと連系するP2Xシステムの運転課題に対し、階層型モデル予測制御（MPC）を提案・実証。50kW電解槽実験とシミュレーションで、PI制御比18.3%の水素生産効率向上、熱サイクル応力34.7%低減、設備寿命22%延伸、水素コスト12.5%低減を達成。グリッドサービス併用の実用可能性を示した。
English
This paper proposes and validates hierarchical Model Predictive Control (MPC) with adaptive elements for Power-to-X systems coupled with variable renewables. Experiments on a 50kW PEM electrolyzer and simulations show 18.3% higher hydrogen production efficiency, 34.7% reduction in thermal cycling stress, 22% equipment lifetime extension, and 12.5% reduction in levelized hydrogen cost compared to conventional PI control. Dual-purpose operation for hydrogen production and grid services is demonstrated.
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に基づきグリーン水素のコスト低減と大量導入を目指す。本制御手法は、変動再エネ下での電解槽運転効率向上に寄与し、日本の水素サプライチェーン構築に直接応用可能。特に、電力市場連動の最適運転はFIT後の自立化に資する。
In the global GX context
Green hydrogen cost reduction and grid integration are global priorities under net-zero targets. This adaptive MPC framework directly addresses operational challenges of intermittent renewable-driven electrolysis, offering a validated pathway to lower LCOH and improve asset longevity. The dual-functionality (hydrogen production + grid services) aligns with emerging business models in electricity markets.
👥 読者別の含意
🔬研究者:Provides a validated hierarchical MPC framework with experimental evidence, useful for further extension to other electrolyzer technologies and real-time optimization.
🏢実務担当者:Offers a modular control architecture that improves electrolyzer efficiency and lifetime, enabling cost-competitive green hydrogen production from renewables.
🏛政策担当者:Demonstrates that advanced control can unlock simultaneous clean hydrogen production and grid stability services, informing subsidy design and grid code updates.
📄 Abstract（原文）
The integration of variable renewable energy sources with Power-to-X systems presents critical operational challenges. Conventional control approaches cannot simultaneously optimize hydrogen production efficiency, minimize electrolyzer degradation, respond to dynamic electricity pricing, and provide grid frequency regulation services. Existing proportional-integral (PI) control methodologies prove inadequate for managing these competing demands in systems coupling intermittent solar and wind inputs with electrolysis designed for steady-state operation. Therefore, this research develops and validates advanced control strategies incorporating hierarchical Model Predictive Control (MPC) with adaptive elements for optimizing green hydrogen production from variable renewables. We implement a three-layer architecture separating strategic planning, tactical optimization, and operational execution, validated through comprehensive simulations using realistic renewable profiles from operating installations and experimental testing on a 50kW proton exchange membrane electrolyzer. The results show that the proposed adaptive MPC framework achieves 18.3% higher hydrogen production efficiency during high-variability periods (95% CI: 14.7-21.9%) compared to baseline PI control, with 34.7% reduction in thermal cycling stress, translating to an estimated 22% equipment lifetime extension. Economic analysis demonstrates 12.5% reduction in levelized hydrogen cost through improved capacity utilization and optimized response to electricity price signals. Experimental validation confirms simulation predictions within 8-12% error margins across multiple operating scenarios, with detailed mismatch analysis identifying transient conditions as primary deviation sources. These findings establish practical viability for industrial-scale Power-to-X deployment, demonstrating that advanced control enables dual-purpose operation—simultaneous hydrogen production and grid service provision—essential for renewable energy integration. The modular control architecture facilitates adaptation across diverse electrolyzer technologies and renewable configurations.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://azojete.com.ng/index.php/azojete/article/download/1296/699first seen 2026-07-18 07:01:42
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