Techno-Economic Optimization of 100% Renewable Off-Grid Hydrogen Systems Through Multi-Timescale Energy Storage Portfolios
マルチタイムスケール蓄電ポートフォリオによる100%再生可能エネルギーオフグリッド水素システムの技術経済的最適化 (AI 翻訳)
Xuebin Luan, Zhiyu Jiao, Haoran Liu, Yujia Tang, Jing Ding, Jiaze Ma, Yufei Wang
🤖 gxceed AI 要約
日本語
本研究は、100%再生可能エネルギーによるオフグリッド水素製造システムを、高時間分解能のデータと最適化フレームワークで評価。ハイブリッド風力・太陽光発電とマルチタイムスケール蓄電（短期・長期・季節）の組合せにより、水素製造コスト(LCOH)を最大40%削減。好条件地域で2.45$/kg達成し、2030年までに3$/kg目標が複数地域で可能と予測。不確実性を考慮すると実コストは5-15%増加見込み。
English
This study develops a high-resolution optimization framework for 100% renewable off-grid hydrogen systems. A hybrid wind-solar configuration with multi-timescale storage (short, long, seasonal) reduces levelized cost of hydrogen (LCOH) by up to 40%. The best site achieves $2.45/kg, and several regions can reach the $3/kg target by 2030. Actual costs are expected to be 5-15% higher due to forecast uncertainty and operational constraints.
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
日本政府は水素基本戦略で国内供給・国際調達を掲げており、本研究成果は離島や災害時などオフグリッド水素システムの設計に示唆を与える。また、SSBJ開示においても水素関連投資の技術的裏付けとして有用。
In the global GX context
This paper advances the global understanding of green hydrogen economics by demonstrating the necessity of multi-timescale storage portfolios. It provides cost benchmarks and optimization insights relevant for ISSB-aligned climate transition plans and national hydrogen strategies, especially for regions with high renewable resource variability.
👥 読者別の含意
🔬研究者:The optimization framework and cost results provide a baseline for further studies on hydrogen system design and storage integration.
🏢実務担当者:Companies can use the LCOH benchmarks and storage strategies to evaluate green hydrogen project feasibility and investment decisions.
🏛政策担当者:The findings support setting realistic hydrogen cost targets and designing policies that promote multi-timescale storage and flexible electrolysis.
📄 Abstract（原文）
This study develops a high-resolution techno-economic optimization framework to assess the feasibility of green hydrogen production in 100% renewable, off-grid systems. Utilizing 5-minute interval meteorological data aggregated to hourly resolution spanning 5 years across seven geographically diverse sites, this study co-optimizes the integration of hybrid wind–solar power generation, flexible electrolyzer operation, and a multi-timescale energy storage portfolio, incorporating short-duration, long-duration, and seasonal storage. On the generation side, a hybrid wind–solar configuration achieves the lowest levelized cost of hydrogen (LCOH). For energy storage, no single storage technology can economically address demand fluctuations across short-term, medium-term, long-term, and seasonal timescales. Instead, a coordinated multi-timescale storage strategy incorporating energy-to-energy mechanisms reduces the LCOH by up to 40%. Increasing hydrogen tank capacity and enabling flexible electrolyzer operation further lowers the LCOH. Significant regional resource variability leads to substantial cost disparities, with the most favorable region achieving a low LCOH of $2.45/kg. Several regions are projected to reach the $3/kg target by 2030, while areas with limited resources require large-scale hydrogen storage to ensure supply reliability. These results represent deterministic lower-bound estimates under perfect foresight; accounting for forecast uncertainty and real-world operational constraints would likely increase actual costs by approximately 5–15%.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/pr14081263first seen 2026-05-15 19:41:13
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