UK Data Service data catalogue record for:
|Title:||Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial, 2013|
|Depositor:||Schofield,J.R., Imperial College London. Department of Electrical and Electronic Engineering|
Schofield,J.R., Imperial College London. Department of Electrical and Electronic Engineering
Carmichael, R., Imperial College London. Department of Electrical and Electronic Engineering
Tindemans, S., Imperial College London. Department of Electrical and Electronic Engineering
Bilton, M., Imperial College London. Faculty of Natural Sciences. Centre for Environmental Policy
Woolf, M., Imperial College London. Department of Electrical and Electronic Engineering
Strbac, G., Imperial College London. Department of Electrical and Electronic Engineering
UK Power Networks
UK Power Networks
The citation for this study is:
Select the text above to add data citation in your outputs.
Select citation format:
|XML citation formats: CSL EndNote|
Abstract copyright UK Data Service and data collection copyright owner.This study comprises meter reading and consumer survey data from the UK's first residential sector, dynamic time-of-use electricity pricing trial, which took place as part of the Low Carbon London (LCL) project. The trial involved 5,567 households in the London area, of which 1,122 received an experimental dynamic time-of-use (dToU) tariff, which was in effect for the duration of 2013.
The Low Carbon London project was a £28m research programme that ran from the beginning of 2011 to the end of 2014 and was funded by energy consumers via Ofgem's Low Carbon Network Fund. The programme was designed to investigate the impact of a wide range of low carbon technologies on London's electricity distribution network. It was in this context that the UK's first residential sector, dynamic electricity-pricing trial took place. The trial was carried out by a partnership of organisations: UK Power Networks, the London DNO and the lead programme partner; Imperial College London, responsible for trial design and results analysis; EDF Energy, retail energy supplier and implementer of the dToU tariff; Siemens, responsible for database and communications implementation; and Logica (now CGI), the smart meter head-end.
The learning objectives of the trial were twofold: to understand the potential value of dynamic pricing to the electricity system, and to understand its social impact on residential consumers.
The dataset consists of smart-meter consumption measurements and consumer survey responses, covering smart meters, dynamic electricity pricing, retail consumers, demand response, electrical consumption and household characteristics.
|Time period:||January 2013 - December 2013|
No spatial unit
|Kind of data:||
Individual (micro) level
LCL project trial participants in London during 2013.
Cross-sectional (one-time) study
Quota sample; Volunteer sample
|Number of units:||5,567 households took part in the project.|
|Method of data collection:||
Postal survey; Physical measurements
Web-based survey; appliance survey, attitudes survey, smart-meter readings
|Date of release:|
|First edition:||14 January 2016|
|Copyright:||UK Power Networks and Imperial College London|
|Access conditions:||The depositor has specified that registration is required. Available to all registered users. The depositor may be informed about usage.|
|Availability:||UK Data Service|
|Contact:||Get in touch|
|Title||File Name||Size (KB)|
|Study information and citation||UKDA_Study_7857_Information.htm||7|
By principal investigator(s):
Schofield, J.R., Carmichael, R., Tindemans, S., Woolf, M., Bilton, M. and Strbac, G. (2014) Residential consumer responsiveness to time-varying pricing, Report A3 for the Low Carbon London LCNF project: Imperial College London.
Carmichael, R., Schofield, J.R., Woolf, M., Bilton, M., Ozaki, R. and Strbac, G. (2014) Residential consumer attitudes to time-varying pricing, Report A2 for the Low Carbon London LCNF project: Imperial College London.
Schofield, J.R. (2015) Dynamic time-of-use electricity pricing for residential demand response: design and analysis of the Low Carbon London smart-metering trial, Ph.D. thesis, Imperial College London. Retrieved January 13, 2016 from http://hdl.handle.net/10044/1/25575
Resulting from secondary analysis: