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Smart Energy Research Lab: Energy use in GB domestic buildings 2021 (volume 1) - Data Tables (in Excel)

Research datakeyboard_double_arrow_right Dataset 01 Jan 2022 United Kingdom Publisher:University College London

Authors: Pullinger, Martin; Few, Jessica; McKenna, Eoghan; Elam, Simon; Webborn, Ellen; Oreszczyn, Tadj;

doi: 10.5522/04/20039816.v1 , 10.5522/04/20039816

Smart Energy Research Lab: Energy use in GB domestic buildings 2021 (volume 1) - Data Tables (in Excel)

- Summary
- Subjects
- Metrics

Abstract

This is a set of aggregated data tables that underly the key figures in the SERL stats report "Smart Energy Research Lab: Energy use in GB domestic buildings 2021" (Volume 1). The report describes domestic gas and electricity energy use in Great Britain in 2021 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB population in terms of region and Index of Multiple Deprivation (IMD) quintile. The report shows how residential energy use in GB varies over time (monthly over the year and half-hourly over the course of the day), with occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), by type of heating system, presence of solar panels and of electric vehicles, and by weather, region and IMD quintile.

Country

United Kingdom

Related Organizations

Middlesex University
United Kingdom
University of London
United Kingdom

Keywords

GB, Design, energy demand, 129999 Built Environment and Design not elsewhere classified, households, smart meters, domestic buildings, Fine Arts, Music, Theatre and Media Studies, electric, FOS: Economics and business, Humanities, 140304 Panel Data Analysis, energy consumption, gas, 140305 Time Series Analysis, FOS: Civil engineering, 140305 Time-Series Analysis

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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average