空間的デマンドフレキシビリティの概念化:序論
Conceptualising spatial demand flexibility: an introduction (原題)
José Luis Ramírez-Mendiola, Michael J. Fell, Jacek Pawlak, Shahab Dehghan, Hui Yan, Han Wang, Ren Kang, Maria Wood, Yuerong Zhang, Meysam Qadrdan, Aruna Sivakumar, Jacopo Torriti
🤖 gxceed AI 要約
日本語
本稿は、電力消費・貯蔵の地理的位置を意図的に調整することで地域の系統混雑を解消する「空間的デマンドフレキシビリティ(SDF)」を新たに定義する。SDFは時間的シフトの代替ではなく補完であり、送電容量制約下で「仮想電線」として機能し、高コストな物理的増強を回避しうる。英国Ofgemの地域エネルギー戦略計画(2028–2033)との整合性も論じる。
English
This paper introduces Spatial Demand Flexibility (SDF): the coordinated adjustment of where electricity is consumed or stored to resolve local grid congestion. SDF acts as a 'virtual wire', deferring costly network upgrades, and complements rather than replaces temporal shifting. It aligns with Ofgem's Regional Energy Strategic Plans for 2028-2033, arguing policymakers must embed spatial foresight into network 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
日本では再エネ大量導入に伴う系統混雑と連系制約が喫緊の課題であり、SDFの概念は地域間連系線増強や需給調整市場、配電網運用の議論に示唆を与える。ただし英国Ofgem制度に基づく議論であり、日本への直接適用には制度的翻訳が必要。
In the global GX context
SDF offers a conceptual bridge between temporal flexibility markets and physical network planning, directly relevant to Ofgem's Regional Energy Strategic Plans and emerging grid-flexibility regimes under CSRD-era infrastructure disclosure. It reframes demand-side flexibility as a spatial planning instrument, complementing TCFD/ISSB-aligned transition planning for utilities.
👥 読者別の含意
🔬研究者:空間的柔軟性を時間的柔軟性と区別し、系統混雑緩和の新たな分析枠組みとして位置づける研究に有用。
🏢実務担当者:配電事業者や需要家は、拠点配置や負荷移転を通じた系統制約回避の選択肢としてSDFを検討できる。
🏛政策担当者:地域エネルギー計画に空間的見通しを組み込む規制設計の必要性を示唆する。
📄 Abstract(原文)
Extended abstract 2-071-26 The accelerating transition toward a decentralised, high-renewable energy system is fundamentally changing the relationship between supply, demand, and grid infrastructure. This necessitates moving beyond traditional temporal load shifting to unlock new forms of flexibility that address location-specific challenges. This work introduces and defines Spatial Demand Flexibility: the intentional and coordinated adjustment of the geographical location where electricity is consumed or stored to resolve localized grid issues, enhance system resilience, and improve overall energy system efficiency and equity. A clarification worth making is that SDF is not a substitute for temporal shifting, but rather a crucial supplementary mechanism that focuses on where energy is used, and delivers additional value by capitalising on the heterogeneity of energy imbalances across different geographical areas. We establish its critical importance in solving the omnipresent challenge of grid congestion due to overloaded assets and limited transmission capacity issues. SDF effectively acts as a ‘virtual wire’, enabling non-wired grid balancing alternatives to defer or eliminate costly physical network upgrades by resolving local bottlenecks through load relocation. We analyse the conditions under which SDF delivers value, highlighting that its benefits must outweigh the cost and inconvenience of implementation and that it is especially valuable when temporal flexibility is unavailable or less efficient. A core tenet is that SDF must not be treated as an isolated resource, as the effectiveness of a spatial demand shift is inextricably linked to the temporal dynamics of demand as well as assets’ response time. From a policy perspective, integrating SDF concepts directly supports UK’s transition towards Ofgem’s Regional Energy Strategic Plans regime to resolve localised capacity constraints. These plans are meant to guide distribution network investments for 2028–2033. To do so effectively, policy makers must mandate spatial foresight by embedding dynamic analyses of projected energy fluxes across regions into planning frameworks. Moving beyond traditional siloed planning approaches to embrace these spatial flexibility concepts ensures that future developments are strategic and coordinated. Ultimately, this spatial lens is crucial for building resilient, efficient, and equitable infrastructure networks that maximise local economic utility. Read full abstract. Download presentation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.66506/essp.129first seen 2026-09-17 04:41:23
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