都市情報モデルによるエネルギーアクセシビリティ・公平性・持続可能性の向上：再生可能エネルギー・蓄電池・インフラに向けて
Advancing Energy Accessibility, Equity, and Sustainability with City Information Model for Renewable, Storage and Infrastructure (原題)
Yuekuan Zhou, Zhaohui Dan, Xinyao Zheng, Yuyu Zheng, Aoye Song, Shun-Cheng Lee, Zhengxuan Liu, Wei Feng, Pengyuan Shen, Haoxiang Zhan, Siqian Zheng
🤖 gxceed AI 要約
日本語
本レビューは、都市情報モデル（CIM）が再生可能エネルギー導入、蓄電、インフラ最適化、エネルギーの公平性を統合的に扱う枠組みとして有望であることを示す。デジタルツイン・AI・IoTとの連携により、シナリオ分析や系統最適化、未充足地域の特定が可能となる。データ相互運用性や標準化、ガバナンス、プライバシーが主要課題として挙げられている。
English
This review examines City Information Models (CIM) as integrated digital frameworks for urban energy planning, combining renewables, storage, and infrastructure optimization with energy equity. Coupled with digital twins, AI, and IoT, CIM enables scenario simulation, system-level optimization, and identification of underserved areas. Key challenges include data interoperability, standardization, governance, and privacy.
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
日本では自治体の脱炭素計画や地域エネルギー事業、RE100自治体のインフラ設計にCIM的発想が応用可能。SSBJ開示とは直接連動しないが、自治体GXや系統制約下の再エネ導入計画の参考になる。
In the global GX context
Globally, CIM aligns with smart-city and urban decarbonization agendas and can inform city-level climate action plans and infrastructure investment under frameworks like CDP Cities and ICLEI. It complements disclosure regimes by providing the spatial data layer for urban transition planning.
👥 読者別の含意
🔬研究者:都市エネルギーシステムの統合モデリングとCIM・デジタルツイン研究の動向を把握できる。
🏢実務担当者:自治体・インフラ企業が再エネ・蓄電計画や未充足地域特定にCIMを活用する示唆を得られる。
🏛政策担当者:エネルギー貧困対策や公平な移行政策の設計にCIMベースのデータ活用を検討する材料となる。
📄 Abstract（原文）
The accelerating transition towards low-carbon and resilient urban energy systems requires integrated approaches that simultaneously address renewable energy deployment, energy storage, infrastructure optimization, and the social dimensions of energy accessibility and equity. This review examines the emerging role of the City Information Model (CIM) as a comprehensive digital framework for enabling data-driven planning, analysis, and governance of urban energy systems. CIM integrates multi-source urban data—including geospatial information, building characteristics, infrastructure networks, and real-time energy flows—into a unified platform, supporting holistic decision-making across sectors. The paper synthesizes recent advances in the application of CIM for planning and operation of renewable energy systems. It highlights how CIM facilitates system-level optimization, scenario simulation, and infrastructure coordination, particularly when combined with digital twin technologies, artificial intelligence, and the Internet of Things. Beyond technical integration, the review emphasizes the critical role of CIM in enhancing energy accessibility by identifying underserved areas and enabling targeted infrastructure investments. It further explores how CIM-driven analytics can support equity-oriented policies by incorporating socio-economic indicators, thereby addressing energy poverty and promoting inclusive energy transitions. The review also discusses key challenges, including data interoperability, standardization, governance, and privacy concerns. CIM is positioned as an effective tool for advancing renewable energy integration, infrastructure resilience, and socially inclusive urban energy systems, contributing to the broader goals of sustainability and equitable development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.enrev.2026.100207first seen 2026-09-20 04:40:46
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