Mapping low-carbon technology readiness in advanced power grids: a multi-scale evaluation model
高度電力系統における低炭素技術のレディネス評価：マルチスケール評価モデル (AI 翻訳)
Changwei Wang, Chen Haihan, Chao Gao, Bowen Han, Shibin Pang, Yuanji Cai
🤖 gxceed AI 要約
日本語
本研究は、先進的な電力系統における低炭素技術の準備状態を評価するマルチスケール評価モデルを提案する。広東・香港・マカオ大湾区、東京圏、サンフランシスコ湾岸地域での実証により有効性を確認。地域比較とプロジェクトレベルの評価を統合し、専門家判断と客観データを組み合わせた柔軟な枠組みを提供する。
English
This study proposes a multi-scale evaluation model to assess low-carbon technology readiness in advanced power grids. Validated across the Guangdong-Hong Kong-Macao Greater Bay Area, Greater Tokyo Metropolitan Area, and San Francisco Bay Area, the model integrates a universal framework for regional comparison with an adaptive module for project-level assessment, combining expert judgment and objective data.
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
本論文は日本（東京圏）を含む国際比較により低炭素送配電技術のレディネス評価モデルを提示。日本のGX政策における系統技術の進捗評価や、SSBJ関連の非財務情報開示における技術成熟度の指標として活用が期待される。
In the global GX context
This paper presents a multi-scale evaluation model for low-carbon grid technology readiness validated in three global metropolitan regions including Tokyo. It offers a systematic framework that aligns with global grid decarbonization efforts and can complement TCFD/ISSB-related technology assessments by providing a structured readiness metric.
👥 読者別の含意
🔬研究者:This paper provides a multi-scale evaluation model for low-carbon grid technology readiness validated across three major urban regions, useful for benchmarking and further methodological refinement.
🏢実務担当者:Utility companies and grid operators can use the adaptive module for project-level technology readiness assessment to guide investment and deployment planning.
🏛政策担当者:The model offers a systematic tool for comparing regional grid decarbonization progress and identifying technology gaps to inform policy and funding priorities.
📄 Abstract（原文）
As the advanced power grid systems undergoing deep decarbonization, there is a growing need for systematic, scalable tools to assess the low-carbon grid technology readiness. However, existing assessments are often fragmented, focusing on isolated indicators, lacking regional adaptability and unable to address the increasing complexity arising from the technological convergence in integrated power systems. This study proposes a multi-scale evaluation model combining a universal framework for regional comparison and an adaptive module for project-level assessment. The model integrates expert judgment with objective data to ensure scientific rigor. Empirical validation across the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), Greater Tokyo Metropolitan Area and San Francisco Bay Area confirms its effectiveness. Case studies of key technologies in the GBA further demonstrate its flexibility. Future research should focus on enhancing indicator granularity, improving data availability and expanding validation across more technology types and regions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1049/icp.2026.1558first seen 2026-07-13 05:45:54
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