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Peak residential electricity demand and social practices: Deriving flexibility and greenhouse gas intensities from time use and locational data

Druckman, A, Torriti, J, Hanna, R, Anderson, B and Yeboah, G (2015) Peak residential electricity demand and social practices: Deriving flexibility and greenhouse gas intensities from time use and locational data Indoor and Built Environment, 24 (7). pp. 891-912.

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Abstract

Peak residential electricity demand takes place when people conduct simultaneous activities at specific times of the day. Social practices generate patterns of demand and can help understand why, where, with whom and when energy services are used at peak time. The aim of this work is to make use of recent UK time use and locational data to better understand: (i) how a set of component indices on synchronisation, variation, sharing and mobility indicate flexibility to shift demand; and (ii) the links between people’s activities and peaks in greenhouse gases’ intensities. The analysis is based on a recent UK time use dataset, providing 1-min interval data from GPS devices and 10-min data from diaries and questionnaires for 175 data days comprising 153 respondents. Findings show how greenhouse gases’ intensities and flexibility to shift activities vary throughout the day. Morning peaks are characterised by high levels of synchronisation, shared activities and occupancy, with low variation of activities. Evening peaks feature low synchronisation, and high spatial mobility variation of activities. From a network operator perspective, the results indicate that periods with lower flexibility may be prone to more significant local network loads due to the synchronisation of electricity-demanding activities.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Centre for Environmental Strategy
Authors :
AuthorsEmailORCID
Druckman, AUNSPECIFIEDUNSPECIFIED
Torriti, JUNSPECIFIEDUNSPECIFIED
Hanna, RUNSPECIFIEDUNSPECIFIED
Anderson, BUNSPECIFIEDUNSPECIFIED
Yeboah, GUNSPECIFIEDUNSPECIFIED
Date : 1 September 2015
Identification Number : 10.1177/1420326X15600776
Additional Information : Copyright 2015 Sage Publications
Depositing User : Symplectic Elements
Date Deposited : 11 Nov 2015 16:03
Last Modified : 11 Nov 2015 16:03
URI: http://epubs.surrey.ac.uk/id/eprint/809327

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