Stochastic Optimal Energy Management of a Shore-Side Renewable Hydrogen Supply System for Hydrogen-Based Marine Vessels
水素燃料船向け陸上再生可能水素供給システムの確率的最適エネルギーマネジメント (AI 翻訳)
Emre Molla, Burak Şafak, Alper Çiçek
🤖 gxceed AI 要約
日本語
海運脱炭素化のため、再生可能エネルギーを統合した陸上水素供給システムの確率的最適運用フレームワークを提案。不確実性を考慮し、PV・風力・電解槽・燃料電池・貯蔵・電力水素取引を調整することで、経済性と環境性能の両立が可能であることを示した。最適構成で最大219.34€の利益、最低0.9982トンのCO2排出を実現し、システム柔軟性の重要性を強調した。
English
Proposes a stochastic optimization framework for a shore-side renewable hydrogen supply system integrating PV, wind, electrolyzer, fuel cell, storage, and electricity–hydrogen trading. Under uncertainties, optimal coordination yields up to €219.34 gain and CO2 emissions as low as 0.9982 metric tons, highlighting the trade-off between flexibility and cost.
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で水素サプライチェーン構築を掲げており、本論文の陸上水素供給システム最適化は、港湾等での水素ステーション設計や運用に直接応用可能。SSBJ開示基準において水素関連投資の効率性評価にも示唆を与える。
In the global GX context
As global shipping faces decarbonization pressure, this paper provides a scalable optimization model for hydrogen bunkering infrastructure. While not directly about disclosure, the economic and environmental metrics could inform transition finance frameworks and TCFD-aligned scenario analysis for maritime investments.
👥 読者別の含意
🔬研究者:Provides a rigorous stochastic MILP framework for integrated hydrogen system optimization under uncertainty.
🏢実務担当者:Offers actionable insights for designing and operating cost-effective, low-carbon shore-side hydrogen supply for vessels.
🏛政策担当者:Demonstrates the techno-economic feasibility of hydrogen as a marine fuel, supporting hydrogen infrastructure policy and investment decisions.
📄 Abstract（原文）
The decarbonization of maritime transportation has increased the need for efficient and sustainable hydrogen-based energy systems supported by renewable energy resources (RESs). In this study, a stochastic mixed-integer linear programming (MILP)-based energy management framework is proposed for a shore-side renewable hydrogen supply system integrating photovoltaic (PV) and wind generation, electrolyzer (EL), fuel cell (FC), hydrogen storage, and electricity–hydrogen trading. The model incorporates uncertainties in RESs, electricity prices, and hydrogen demand through a scenario-based approach, enabling adaptive and coordinated system operation. The results indicate that effective coordination of RESs and conversion units significantly improves system performance, with the best configuration achieving a maximum operating gain of 219.34 €, demonstrating strong economic efficiency. In contrast, less flexible configurations result in substantially higher costs, reaching up to 54.53 €, highlighting the importance of system flexibility. From an environmental perspective, carbon emissions vary notably across configurations, with the lowest value of 0.9982 metric tons achieved under optimized conditions, while inefficient designs lead to emissions as high as 1.6280 metric tons. The findings confirm that the proposed stochastic framework effectively enhances both economic and environmental performance, providing a robust and scalable solution for sustainable hydrogen-based maritime energy systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/electronics15112368first seen 2026-06-04 05:07:49
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