Smart Grid Technologies for the Efficient Integration of Renewable Energy Systems a Multi-Disciplinary Framework for Sustainable Urban Energy Transition
持続可能な都市エネルギー移行のための再生可能エネルギーシステムの効率的統合に向けたスマートグリッド技術:学際的フレームワーク (AI 翻訳)
Ojiako Chidera Gertrude, Joyce Felix Mbaba, Agnes Ema Okoh, Ajaegbu Chioma Jane
🤖 gxceed AI 要約
日本語
この研究は、ラゴス(ナイジェリア)を対象に、スマートグリッド技術が太陽光、バイオマス、水素などの再生可能エネルギーを既存の電力網に統合する役割を定量的に評価した。4つのシナリオ分析により、太陽光・バイオマス・スマートグリッド経路がコストと性能のバランスに優れ、太陽光・バイオマス・水素・スマートグリッド経路が長期的な持続可能性で最も効果的であることを示した。持続可能な都市エネルギー移行には、再エネ導入だけでなく、スマートグリッド管理と政策フレームワークが不可欠と結論付けている。
English
This study examines smart grid technologies for integrating solar, biomass, and hydrogen into urban energy systems, using Lagos, Nigeria as a case study. Four scenarios show that a solar-biomass-smart-grid pathway offers the best cost-performance balance, while adding hydrogen yields the strongest long-term sustainability. The research concludes that intelligent grid management and supportive policies are essential for sustainable urban energy transition.
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
日本では既にスマートグリッド技術が高度に発展しているが、本稿の学際的フレームワークは、日本の都市計画やエネルギー政策においても、再エネ統合の評価手法として参考になる可能性がある。ただし、ナイジェリアの事例に基づくため、直接的な適用には注意が必要。
In the global GX context
This paper presents a practical framework for evaluating renewable-smart-grid pathways in rapidly urbanizing environments, relevant for developing countries. While less novel for advanced GX contexts like Japan or Europe, it offers a replicable methodology that could inform urban energy planning globally.
👥 読者別の含意
🔬研究者:Provides a quantitative scenario-based framework for assessing renewable energy integration via smart grids, useful for urban energy system modeling.
🏢実務担当者:Offers insights on cost-effective pathways for integrating solar, biomass, and hydrogen in developing city contexts.
🏛政策担当者:Highlights the need for integrated planning and smart grid policies to enable renewable energy transition in growing cities.
📄 Abstract(原文)
The transition to sustainable urban energy systems requires effective strategies for integrating renewable energy sources into existing electricity networks. This study examines the role of smart grid technologies in enabling the efficient integration of solar, biomass, and hydrogen systems within a multidisciplinary framework for sustainable urban energy transition. Using Lagos, Nigeria, as a case study, the research adopts a quantitative scenario-based approach to evaluate technical, economic, environmental, and policy dimensions of renewable energy integration. Four scenarios were analyzed, including a conventional grid-dominated baseline and three progressive smart-grid-enabled renewable energy pathways. The results show that increased renewable integration significantly improves urban energy performance by raising renewable energy share, reducing grid losses, lowering carbon emissions, and enhancing system reliability. Solar emerged as the primary contributor to early renewable penetration, biomass improved dispatchability and system resilience, while hydrogen provided strategic flexibility for advanced integration. Economically, the solar-biomass-smart-grid pathway offered the best balance between cost and performance, whereas the solar-biomass-hydrogen-smart-grid pathway produced the strongest long-term sustainability outcome despite higher investment requirements. The study concludes that smart grid technologies are essential for coordinating diverse renewable energy sources and for supporting reliable, flexible, and low-carbon urban electricity systems. It further argues that sustainable urban energy transition depends not only on renewable energy deployment, but also on intelligent grid management, supportive policy frameworks, and integrated planning. The study contributes a practical multidisciplinary framework for evaluating renewable-smart-grid pathways in rapidly urbanizing environments.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.19657843first seen 2026-05-05 08:06:05 · last seen 2026-05-05 19:14:32
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