Peak residential electricity demand and social practices: deriving flexibility and greenhouse gas intensities from time use and locational data
Peak residential electricity demand and social practices: deriving flexibility and greenhouse gas intensities from time use and locational data
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
demand side response, load shifting, peak demand, residential electricity demand, ime-use, RCUKDEMAND
1-22
Torriti, J.
248b5afb-1057-44f5-b5c0-b7f46d2a588c
Hanna, R.
51e5109c-3e3d-41f7-8564-0ed6448b4cff
Anderson, B.
01e98bbd-b402-48b0-b83e-142341a39b2d
Yeboah, G.
f132231c-8932-4629-8495-7dd5a98da2fc
Druckman, A.
a4c7e8af-4fb7-4356-8533-9f82720d6a12
20 August 2015
Torriti, J.
248b5afb-1057-44f5-b5c0-b7f46d2a588c
Hanna, R.
51e5109c-3e3d-41f7-8564-0ed6448b4cff
Anderson, B.
01e98bbd-b402-48b0-b83e-142341a39b2d
Yeboah, G.
f132231c-8932-4629-8495-7dd5a98da2fc
Druckman, A.
a4c7e8af-4fb7-4356-8533-9f82720d6a12
Torriti, J., Hanna, R., Anderson, B., Yeboah, G. and Druckman, A.
(2015)
Peak residential electricity demand and social practices: deriving flexibility and greenhouse gas intensities from time use and locational data.
Indoor and Built Environment, .
(doi:10.1177/1420326X15600776).
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
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More information
Accepted/In Press date: 3 July 2015
Published date: 20 August 2015
Keywords:
demand side response, load shifting, peak demand, residential electricity demand, ime-use, RCUKDEMAND
Organisations:
Energy & Climate Change Group
Identifiers
Local EPrints ID: 380931
URI: http://eprints.soton.ac.uk/id/eprint/380931
ISSN: 1420-326X
PURE UUID: 8020929b-bc98-4c09-998b-19c9864dc299
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Date deposited: 21 Sep 2015 10:27
Last modified: 14 Mar 2024 21:07
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Contributors
Author:
J. Torriti
Author:
R. Hanna
Author:
G. Yeboah
Author:
A. Druckman
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