A Comprehensive Review on Performance Analysis, Sizing Optimisation, and Energy Management Strategies for Solar-Wind Hybrid Renewable Energy Systems for Off-Grid and Rural Electrification Applications
オフグリッドおよび地方電化用途向け太陽光・風力ハイブリッド再生可能エネルギーシステムの性能分析、サイジング最適化、エネルギー管理戦略に関する包括的レビュー (AI 翻訳)
S. J. Mulani
🤖 gxceed AI 要約
日本語
本レビューは、オフグリッドおよび地方電化向け太陽光・風力ハイブリッドシステム（HWRES）の技術、最適化手法、エネルギー管理戦略を2020～2025年の文献82件から分析。最適設計でLCOE 0.062～0.094 USD/kWh、LPSP 2%未満を達成し、ディーゼル比60～80%経済的。深層強化学習によるEMSはLPSPを8～18%改善。今後の課題としてアグリボルタイクス、グリーン水素貯蔵、バッテリー劣化モデリングを指摘。
English
This review analyzes 82 papers (2020-2025) on solar-wind hybrid renewable energy systems (HWRES) for off-grid and rural electrification, covering technologies, optimization, and energy management. Optimally designed systems achieve LCOE of 0.062-0.094 USD/kWh with LPSP below 2%, 60-80% more economical than diesel. Deep reinforcement learning-based EMS improves LPSP by 8-18%. Research gaps include agrivoltaics, green hydrogen storage, and battery degradation modeling.
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
日本の離島や山間部での再生可能エネルギー導入や、災害時のレジリエンス向上に資する知見を提供。また、日本の再エネ導入拡大政策や、地域分散型エネルギーシステムの設計に参考となる。
In the global GX context
This review provides global insights into hybrid renewable system design and optimization, relevant to off-grid electrification in developing regions and remote areas. It contributes to the global discourse on energy transition and sustainable energy planning, offering comparative performance metrics and identifying research gaps that inform future innovation.
👥 読者別の含意
🔬研究者:Provides a comprehensive overview of optimization methods and performance metrics for hybrid renewable systems, highlighting research gaps.
🏢実務担当者:Offers practical benchmarks (LCOE, LPSP) and design insights for implementing cost-effective off-grid renewable solutions.
🏛政策担当者:Informs policy on rural electrification and renewable energy deployment with evidence of economic and reliability benefits.
📄 Abstract（原文）
The global imperative to decarbonise electricity generation, combined with the challenge of electrifying approximately 733 million people without reliable grid access, has positioned solar-wind hybrid renewable energy systems (HWRES) as a central strategy in sustainable energy planning. This comprehensive and updated review critically analyses the state of the art in solar photovoltaic and wind turbine technologies, battery and alternative energy storage integration, techno-economic optimisation methodologies, and intelligent energy management strategies for standalone off-grid hybrid systems, with a systematic focus on literature published between 2020 and 2025. A total of 82 research papers is reviewed 37 published in the last five years encompassing simulation studies, experimental field deployments, optimisation algorithm comparisons, and case studies from diverse geographical contexts. Key performance indicators including Loss of Power Supply Probability (LPSP), Levelised Cost of Energy (LCOE), CO₂ emissions reduction, and system reliability are compared across 55 case studies. Optimally designed solar-wind hybrid systems with battery storage consistently achieve LCOE of 0.062–0.094 USD/kWh with LPSP below 2% 60–80% more economical than diesel-only off-grid generation. Deep reinforcement learning-based energy management systems (emerging strongly in 2022–2025 literature) demonstrate 8–18% improvement in LPSP compared to conventional rule-based dispatch. Research gaps including agrivoltaics integration, green hydrogen seasonal storage, and battery degradation modelling for tropical climates are identified and prioritised.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21833892first seen 2026-08-08 04:14:50
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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。