Least-Cost Sizing and Multi-Criteria Assessment of Hybrid Solar–Wind–Hydrogen Systems Under Climate-Resource Sensitivity Scenarios
気候資源感度シナリオ下での太陽光・風力・水素ハイブリッドシステムの最小コスト設計と多基準評価 (AI 翻訳)
Emezirinwune M, Babatunde O, Olanrewaju O
🤖 gxceed AI 要約
日本語
本研究では、HOMER Proを用いて、太陽光・風力・バッテリー・水素からなるハイブリッド再生可能エネルギーシステムの最適設計を気候資源感度分析のもとで実施した。4つのシステム構成を比較し、PV-風力-バッテリー-電解槽-水素タンク-燃料電池システムが最も低いLCOE(0.246 USD/kWh)と高い再生可能エネルギー比率(98.7%)を示した。水素導入により気候変動下でのレジリエンスが向上することを確認した。
English
This study uses HOMER Pro to perform least-cost sizing and resource availability sensitivity analysis for a hybrid PV-wind-battery-hydrogen system under four climate-resource scenarios. Four system layouts are compared; the PV-wind-battery-electrolyzer-hydrogen tank-fuel cell system achieves the lowest LCOE of 0.246 USD/kWh and a renewable fraction of 98.7%. Including hydrogen enhances system resilience under climate-induced resource stress.
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
日本では水素社会の実現や再生可能エネルギーの導入拡大が進められており、本研究成果はオフグリッド地域や離島における自立型エネルギーシステムの設計に活用できる。また、気候変動による資源変動への感度分析は、日本国内のエネルギー計画におけるリスク評価にも示唆を与える。
In the global GX context
Globally, hybrid renewable-hydrogen systems are crucial for decarbonizing off-grid and weak grid regions. This paper provides a multi-criteria optimization framework that can inform project developers and policymakers on cost-effective and resilient system designs under climate uncertainty.
👥 読者別の含意
🔬研究者:This paper provides a detailed optimization methodology and sensitivity analysis that can be used as a benchmark for hybrid renewable-hydrogen system design.
🏢実務担当者:The findings offer concrete sizing guidelines and cost estimates for implementing solar-wind-hydrogen systems in off-grid applications.
🏛政策担当者:The resilience analysis demonstrates the value of hydrogen in ensuring energy reliability under climate stress, supporting policy incentives for hydrogen integration.
📄 Abstract(原文)
Hybrid renewable energy systems with photovoltaic generation, wind power, battery storage, and hydrogen pathways are becoming increasingly popular in off-grid and weak grid applications as they convert intermittent renewable energy sources into usable energy forms, thus decreasing dependency on fossil fuels. Traditional deterministic approaches to the system size may be unable to consider the risks associated with solar radiation, wind, ambient temperatures, and energy demand evolution due to climate-resource sensitivity analysis. In this research, HOMER Pro was used to apply least-cost sizing and resource availability sensitivity analysis for the sizing of hybrid photovoltaic–wind–battery-hydrogen system under four climate-resource sensitivity scenarios. Four different system layouts were compared based on the HOMER Pro optimization model using several evaluation criteria such as NPC, LCOE, renewable ratio, CO₂ emissions, unmet load ratio, and hydrogen energy production. Four different system layouts were compared based on the HOMER Pro optimization model using several evaluation criteria such as NPC, LCOE, renewable ratio, CO₂ emissions, unmet load ratio, and hydrogen energy production. The most appropriate design layout was identified as a PV-wind-battery-electrolyzer-hydrogen tank-fuel cell system with 900 kW PV, 350 kW wind power capacity, 1.85 MWh battery storage, 240 kW electrolyzer capacity, 520 kg hydrogen capacity and 180 kW fuel cell. At the base scenario, it produced the minimum LCOE equal to 0.246 USD/kWh, NPC of 4.38 million USD, renewable ratio of 98.7%, CO₂ emissions of 18 t/y and unmet load of 0.30%. In case of simultaneous pressure on resources due to climate, the LCOE rose to 0.253 USD/kWh while the unmet load did not exceed 0.43%. Thus, the inclusion of hydrogen allows one to ensure greater resilience compared to systems without hydrogen.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202607.1609.v1first seen 2026-07-25 04:39:18
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