Updated: Latest findings documents published.
Further analysis of the data collected through this survey has been undertaken and these reports present some of the research findings.
‘Early Findings: Demand Side Management' includes 24-hour demand profiles for the 250 households, examining peak power and demand shifting, standby power, baseload power, secondary electric heating, and 24/7 appliances.
As a complement to this report we have developed an interactive spreadsheet that allows users to work with the data easily themselves. The spreadsheet allows users to generate daily load profiles for different households selected from the sample of 250 households and you can download it via this Hightail link. **Please note this spreadsheet is .xlsm format and functions with excel 2007 and subsequent versions; select “enable macros”. File size 14MB.
‘Electrical Appliances at Home: Tuning in to Energy Savings' presents an in depth look at the ownership and usage of electrical appliances in homes. This includes an analysis of annual purchase and replacement rates, energy ratings, the associations of use of different appliances, potential savings from small appliances and as assessment of the rebound effect.
‘Consumer Archetypes' aims to perform a comprehensive cluster analysis on the data and group the 250 monitored households into a series of distinct consumer archetypes based on household attitudes to the environment, demographics, building details and electricity usage characteristics.
‘Increasing Insight and UK Applicability' aims to increase the insights that can be extracted from the data and to more accurately scale up the findings to give a national picture. The report utilises a large spatially resolved demographic dataset, Experian's Mosaic UK, to link each household to a specific group and to assess the suitability of this association along with how it can be applied to better understand UK electricity use.
‘The Potential for Smart Meters in a National Household Energy Survey' provides an overview of one approach to maximising the benefits of Smart Meters, by establishing a National Household Energy Survey. This would recruit a representative sample of consumers who agreed to give remote access to their meter data for ongoing, anonymised analysis and reporting of how electricity is being used in homes. The report looks at some of the benefits of this type of survey and provides estimates of potential cost.
The original report for the Household Electricity Survey is also available above.
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