gxceed
← 論文一覧に戻る

Operational stability and energy management of a hydrogen-integrated island microgrid considering demand response and renewable curtailment

水素統合型島嶼マイクログリッドの運用安定性とエネルギー管理-デマンドレスポンスと再生可能エネルギー抑制を考慮して (AI 翻訳)

M. Ali, Nobonita Sarkar, Md. Esmay Azam, Md. Shafiul Alam, Mohammad Ali, M. Alaqil

Journal of Renewable and Sustainable Energy📚 査読済 / ジャーナル2026-03-01#水素
DOI: 10.1063/5.0321743
原典: https://doi.org/10.1063/5.0321743

🤖 gxceed AI 要約

日本語

本研究では、太陽光・風力・バイオガスなどと水素貯蔵を組み合わせたオフグリッド島嶼向けマイクログリッドの技術経済・環境評価を実施。エネルギーコスト$0.0794/kWh、純現在コスト$333,733、NET負の二酸化炭素排出-42.7kg/yrを実現。デマンドレスポンスにより年間19,802kWhの省エネ、水素統合で余剰再生エネ1,971,487kWhを削減し、システムの安定性と経済性を実証した。

English

This study presents a techno-economic and environmental assessment of a fully renewable hydrogen-enabled hybrid microgrid for an off-grid island. The optimal system achieves a cost of energy of $0.0794/kWh and net negative emissions. Demand response saves 19,802.40 kWh annually, and hydrogen integration curtails surplus renewable energy by 1,971,487.15 kWh, demonstrating stable and cost-effective operation.

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

日本は多数の離島を抱え、再生可能エネルギーと水素の統合による自立型エネルギーシステムの構築が政策的課題となっている。本論文で提案されるマイクログリッドモデルは、日本の離島電化や水素社会実現への応用可能性を示唆する。

In the global GX context

This paper offers a replicable model for hydrogen-enabled island microgrids, relevant to global efforts in renewable energy integration and decarbonization of remote communities. The combination of demand response and hydrogen curtailment provides insights for improving renewable utilization and system stability.

👥 読者別の含意

🔬研究者:Provides a comprehensive techno-economic model with dynamic stability and sensitivity analysis that can inform further research on hydrogen microgrids.

🏢実務担当者:Offers cost benchmarks and operational strategies for integrating hydrogen storage with renewables in remote or island settings.

🏛政策担当者:Demonstrates the feasibility and environmental benefits of hydrogen-assisted microgrids for off-grid electrification, supporting energy transition policies.

📄 Abstract(原文)

This study presents the techno-economic, environmental, and advanced operational assessment of a fully renewable, hydrogen-enabled hybrid microgrid designed for the reliable electrification of an off-grid island community. The proposed system integrates solar photovoltaic, wind turbine, biogas generator, fuel cell, electrolyzer, hydrogen storage tank, and battery energy storage system to ensure long-term energy autonomy under variable renewable conditions. Optimal sizing and dispatch results demonstrate a competitive cost of energy of $0.0794/kWh with a net present cost of $333 733, supported by a capital investment of $197 608 and an annual operating cost of $9849. The system achieves net negative carbon emissions of −42.7 kg/yr, highlighting its strong environmental performance, while the levelized cost of hydrogen is estimated at $6.77/kg, indicating the economic feasibility of green hydrogen integration. Beyond conventional techno-economic evaluation, advanced analyses are conducted to validate system robustness. Dynamic voltage and frequency response assessments confirm stable operation under renewable intermittency and load fluctuations. A demand response strategy yields annual energy savings of 19 802.40 kWh, enhancing operational efficiency. Curtailment analysis reveals that hydrogen integration reduces surplus renewable energy by 1 971 487.15 kWh, significantly improving renewable utilization. Furthermore, sensitivity analysis considering solar radiation, wind speed, biomass availability, ambient temperature, nominal discount rate, and inflation rate identifies key parameters influencing system cost and performance. The results collectively demonstrate that hydrogen-assisted hybrid microgrids can deliver cost-effective, stable, and low-carbon energy solutions for remote island 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。