Optimal Sizing of Power and Hydrogen Storage Systems Considering Electrolyzer Efficiency and Start-Up Dynamics
電解槽効率と起動特性を考慮した電力・水素貯蔵システムの最適規模決定 (AI 翻訳)
Cancheng Qiu, Zhong Wen, Guofeng He, Ke Zhang, Ziyong Xu
🤖 gxceed AI 要約
日本語
本論文は、風力・太陽光・蓄電池・水素貯蔵を統合したシステムの最適容量設計を提案。電解槽の効率特性と起動動特性を考慮したMILPモデルを構築し、中国北西部のデータを用いて実証。再生可能エネルギー利用率96.7％、蓄電池7 MWh、水素タンク3500 kgの結果を得た。時間帯別電力料金と水素販売による収益性向上も示唆。
English
This paper proposes a MILP model for optimal sizing of integrated wind-solar-battery-hydrogen systems, incorporating electrolyzer power-dependent efficiency and start-up dynamics. Using data from Northwest China, the optimized system achieves a renewable utilization rate of 96.7%, 7 MWh BESS, and 3500 kg hydrogen storage. Time-of-use pricing and hydrogen sales further enhance system economics, demonstrating practical potential for large-scale renewable hydrogen 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
日本の水素社会実現や再エネ主力電源化に際し、水素貯蔵と蓄電池の最適バランス設計は重要。本論文のモデルは実データに基づく効率特性を組み込んでおり、日本の系統連系や水素サプライチェーン設計にも応用可能。
In the global GX context
This work contributes to the global GX context by providing a rigorous optimization framework for hybrid renewable-hydrogen systems. The integration of electrolyzer start-up dynamics and efficiency curves is novel, and the case study from China offers insights for large-scale renewable integration strategies worldwide, including those under the Paris Agreement.
👥 読者別の含意
🔬研究者:Researchers working on hydrogen system optimization or renewable integration will find value in the detailed MILP formulation and the treatment of electrolyzer dynamics.
🏢実務担当者:Energy system planners and hydrogen project developers can use the proposed model for preliminary capacity sizing and economic assessment.
🏛政策担当者:Policymakers focusing on hydrogen strategy or renewable energy targets can reference the system efficiency and cost-benefit insights from the case study.
📄 Abstract（原文）
To reduce renewable output volatility and improve system integration efficiency, this study constructs a coordinated wind–solar–storage–hydrogen framework. The proposed MILP model innovatively integrates electrolyzer power-dependent efficiency and start-up dynamics into a coupled capacity-sizing and dispatch framework and differs from existing MILP models in refined dynamic constraint construction, multi-energy flow coupling, and practical engineering logic constraints. Refined mathematical models are formulated for core components, including wind and photovoltaic units, battery energy storage systems (BESS), and electrolyzers with power-dependent hydrogen production efficiency and operational dynamics. The electrolyzer efficiency peak at 0.25 p.u. input power is calibrated by industrial test data, and the optimization results show strong robustness to the slight deviation of this peak point. Independent control strategies are designed for each electrolyzer, and a capacity optimization model is formulated to maximize system performance. Simulation tests using wind and solar profiles from Northwest China show that the optimized system achieves a renewable energy utilization rate of 96.7%, a BESS capacity of 7 MWh, and a hydrogen storage tank of 3500 kg. Adopting a time-of-use (TOU) electricity pricing mechanism combined with hydrogen sales significantly enhances system efficiency, while expanding power and hydrogen transmission capacities further improves renewable energy integration. These results demonstrate the practical potential of the proposed integrated system for large-scale renewable energy deployment.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/en19071712first seen 2026-05-15 20:33:34
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