Optimizing prosumer communities for sustainable urban energy systems: A cooperative energy storage perspective
持続可能な都市エネルギーシステムのためのプロシューマーコミュニティ最適化：協調的エネルギー貯蔵の視点 (AI 翻訳)
Yu‐Chung Tsao, I Gede Arei Banyupramesta, Jye‐Chyi Lu
🤖 gxceed AI 要約
日本語
本研究は、地域エネルギー貯蔵（CES）および共有エネルギー貯蔵（SES）システムにおけるプロシューマーのグループ化が、都市エネルギー網の持続可能性と効率性に与える影響を分析。協調モデルが個別モデルよりもシステム性能を向上させ、外部エネルギーへの依存を低減し、調達コストを削減することを実証。また、グループ構成の設計が重要であり、不適切な設計は不安定性を引き起こす可能性を指摘。
English
This study examines how prosumer grouping in community energy storage (CES) and shared energy storage (SES) systems can enhance urban energy sustainability, efficiency, and resilience. An optimization framework compares individual (clustering similar prosumers) and cooperative (diverse prosumers sharing) models, finding cooperative grouping reduces external energy reliance, lowers procurement costs, and improves stability under renewable variability. Sensitivity analysis shows poor grouping designs can cause instability, highlighting the importance of community structure in sustainable energy planning.
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
日本の都市部では、再生可能エネルギー導入拡大に伴い、コミュニティ単位でのエネルギーマネジメントが注目されている。本研究成果は、SSBJや有価証券報告書におけるエネルギー調達効率やレジリエンス向上の観点から、企業や自治体のエネルギー計画に示唆を与える。特に、FIT終了後のプロシューマー行動設計に役立つ。
In the global GX context
This paper contributes to global urban energy transition discourse by providing quantitative evidence that cooperative community energy storage outperforms individual clustering. Its findings are relevant for ISSB and CSRD reporting on energy efficiency and resilience, and for policymakers designing renewable integration incentives in dense urban environments.
👥 読者別の含意
🔬研究者:Provides an optimization framework and comparative analysis of prosumer grouping strategies that can be extended to other urban settings.
🏢実務担当者:Offers practical insights on community storage design to reduce energy procurement costs and improve resilience for corporate or municipal energy managers.
🏛政策担当者:Highlights the importance of community structure in energy planning, suggesting that policies promoting diverse prosumer grouping can enhance renewable integration and grid stability.
📄 Abstract（原文）
The transition toward low-carbon cities increasingly relies on community-based energy systems that integrate distributed renewable generation and shared storage infrastructure. This study examines how strategic prosumer grouping within community energy storage (CES) and shared energy storage (SES) systems can enhance the sustainability, efficiency, and resilience of urban energy networks. An optimization framework is developed to determine grouping configurations that balance heterogeneous energy production and demand under renewable uncertainty, particularly solar variability. Two community structures are compared: an individual model that clusters prosumers with similar generation characteristics, and a cooperative model that encourages resource sharing among prosumers with diverse production capacities and consumption patterns. Results indicate that cooperative grouping substantially improves system-level performance, reducing reliance on external energy supply and lowering overall procurement costs while enhancing resilience against seasonal and hourly fluctuations. By leveraging diversity within communities, the cooperative structure achieves more stable storage utilization and mitigates imbalance risks associated with renewable intermittency. Sensitivity analysis further shows that poorly designed grouping configurations can generate instability and inefficiencies, highlighting the importance of community structure in sustainable energy planning. The findings position prosumer grouping as a critical design decision in urban CES/SES deployment and offer practical insights for policymakers and planners seeking to strengthen renewable integration and support resilient, sustainable city development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1177/0958305x261464835first seen 2026-07-21 04:52:10
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