gxceed
← 論文一覧に戻る

Optimized Hybrid Renewable‐Hydrogen Microgrid for Rural Electrification: A Technoeconomic and Dynamic Stability Assessment

最適化されたハイブリッド再生可能-水素マイクログリッドの農村電化への適用:技術経済的および動的安定性評価 (AI 翻訳)

Md. Omar Faruk, M. Ali, Md. Shafiul Alam, Md. Alamgir Hossain, M. Hasan, Taib Hasan, M. Azam

International Journal of Energy Research📚 査読済 / ジャーナル2026-01-01#水素Origin: Global経営インパクト: コスト削減対象セクター: power
DOI: 10.1155/er/3397153
原典: https://doi.org/10.1155/er/3397153
📄 PDF

🤖 gxceed AI 要約

日本語

本研究は、太陽光、風力、燃料電池、水素貯蔵、バッテリーを組み合わせたハイブリッドマイクログリッドを150世帯の農村コミュニティ向けに最適化し、LCOE $0.0383/kWh、LCOH $3.47/kg、年CO2排出62,948kgを達成した。感度分析や動的安定性評価も実施し、再生可能エネルギーと水素貯蔵の組み合わせが低炭素でコスト効果の高い分散型電化ソリューションとして有望であることを示した。

English

This study optimizes a hybrid renewable-hydrogen microgrid for a 150-household rural community, achieving LCOE of $0.0383/kWh, LCOH of $3.47/kg, and annual CO2 emissions of 62,948 kg. Sensitivity analysis and dynamic stability assessment confirm cost-effective, low-carbon operation. The results highlight hybrid renewable-hydrogen microgrids as a resilient decentralized electrification solution.

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

日本の過疎地域や島嶼部での再生可能エネルギー導入と水素活用の可能性を示す事例。ただし、日本の具体的な補助金制度や系統連系要件との整合性は議論されていないため、政策適用には追加検討が必要。

In the global GX context

The paper provides a techno-economic benchmark for hybrid renewable-hydrogen microgrids in rural electrification, relevant to global energy access initiatives. It demonstrates the viability of hydrogen storage for off-grid applications, contributing to the broader discourse on low-carbon electrification pathways, though lacks direct policy or regulatory analysis.

👥 読者別の含意

🔬研究者:Provides a techno-economic optimization framework and dynamic stability assessment for hybrid microgrids with hydrogen storage, offering a model for further research on decentralized energy systems.

🏢実務担当者:Useful for project developers considering renewable-hydrogen microgrids for off-grid communities, providing cost data and system sizing insights.

🏛政策担当者:Demonstrates the technical and economic feasibility of hydrogen-based microgrids for rural electrification, supporting policy design for clean energy access in remote areas.

📄 Abstract(原文)

The increasing focus on clean energy transitions has intensified interest in hybrid renewable microgrids as a reliable strategy for electrifying underserved rural communities. This study investigates the technoeconomic and environmental performance of an integrated hybrid microgrid designed for a community of 150 households. The system configuration combines solar photovoltaic (PV) generation, wind energy conversion, fuel cells (FCs), hydrogen production and storage units, and battery‐based storage, operating alongside a grid connection. Optimization and simulation outcomes identify the most cost‐effective design, yielding a cost of energy (COE) of $0.0383/kW h and a net present cost (NPC) of $339,483, with annual operating and capital expenses of $2076 and $311,791, respectively. The system additionally produces green hydrogen at a levelized cost of hydrogen (LCOH) $3.47/kg, demonstrating the viability of long‐term renewable‐based energy storage. Annual carbon emissions are reduced to 62,948 kg/year, indicating strong environmental benefits relative to conventional systems. Sensitivity analyses on solar irradiance, wind speed, and economic parameters reveal their influence on system performance and cost dynamics. Moreover, a simplified power balance–based estimation of voltage and frequency deviations indicates that the microgrid operates within standard operational bounds under varying renewable generation conditions, providing a first‐order assessment of power quality at the system planning level. Overall, the findings highlight the potential of hybrid renewable‐hydrogen microgrids as a cost‐effective, low‐carbon, and resilient solution for decentralized rural electrification.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。