技術、行動、料金が住宅電力需要をどう変えるか：英国とフランスのサブ人口におけるサブアワー負荷曲線の比較研究
How technology, behaviour, and tariffs reshape residential power demand: A comparative study of sub-hourly load curves for subpopulations in Great Britain and France (原題)
Mona Moussawel, Jessica Few, Valentin Moreau, Bruno Duplessis, Ellen Zapata-Webborn, Martin Pullinger, Guillaume Binet, Mathieu Schumann
🤖 gxceed AI 要約
日本語
本研究は、英国とフランスの大規模なスマートメーターデータを用いて、住宅の電力需要パターンを比較分析した。建物タイプや暖房技術に基づくセグメント別の負荷曲線を分析し、文化的習慣、暖房システム、料金設計が需要形状に与える影響を明らかにした。電化は単なる燃料代替ではなく需要形状の構造的変化をもたらすと指摘し、政策立案者や系統運用者に対し、技術導入、料金設計、意識啓発の連携の重要性を示唆している。
English
This study compares residential electricity demand patterns using high-resolution smart meter data from Great Britain and France. Analyzing load curves by building type and heating technology, it reveals how cultural habits, heating systems, and tariffs shape demand. Electrification is shown to be a structural transformation of demand shape, not just fuel substitution. The findings emphasize the need for coordinated technology deployment, tariff design, and public awareness for a successful 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
日本の家庭部門の電化（ヒートポンプ、EV）や時間帯別料金の導入に示唆を与える。需要形状の変化を踏まえた系統計画や需給調整策の検討に有用。
In the global GX context
This comparative study provides insights for global energy transition, highlighting the role of tariffs and behavior in shaping demand. It supports the integration of dynamic variables in demand models, relevant for grid planning and demand-side management in various countries.
👥 読者別の含意
🔬研究者:Provides empirical evidence on how technology, behavior, and tariffs interact to shape residential load curves, useful for improving demand models.
🏢実務担当者:Offers insights for utilities and grid operators on designing tariffs and demand response programs that account for heterogeneous consumer behavior.
🏛政策担当者:Highlights the need for coordinated policies on technology deployment, tariff design, and public awareness to manage electrification effectively.
📄 Abstract（原文）
Peer-reviewed paper 1-217-26 Accurate prospective analysis of power demand is critical for the energy transition. However, current residential models often rely on deterministic assumptions where building physics is the primary driver of power demand, often neglecting or underestimating other determinants. This paper aims to address this gap by exploring the different drivers of residential demand by analysing sub-hourly load curves for segments based on the building type and heating technologies. The study presents a unique comparative analysis utilising high-resolution smart meter data coupled with detailed contextual information from large household subpopulations in Great Britain and France. The results first suggest that distinct cultural habits and preferences shape the load curves in ways that differ between subpopulations. Second, heating systems and tariffs shape demand curves, with different technologies producing distinct load profiles and tariff incentives driving load shifting. Third, the analysis suggests that electrification represents a structural transformation of demand shape rather than a simple fuel substitution. This work highlights the power of cross-border comparisons in revealing the distinct cultural and technological drivers of energy consumption. These insights support a shift toward power demand models that integrate buildings, systems, appliances, tariffs, and behaviour as dynamic, interactive variables. For policymakers, stakeholders and grid operators, the findings underscore that a successful energy transition requires coordinating technology deployment, tariff designs, and public awareness to effectively manage the heterogeneity of future electrical loads.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.66506/essp.1-217-26first seen 2026-08-21 04:35:15
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