Study title
Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial, 2013
Creator
Study number / PID
7857 (UKDA)
10.5255/UKDA-SN-7857-2 (DOI)
Data access
Restricted
Series
Abstract
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.
Main Topics:
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.
Topics
Keywords
Methodology
Data collection period
Not availableCountry
Time dimension
Analysis unit
Universe
LCL project trial participants in London during 2013.
Sampling procedure
Kind of data
Data collection mode
Access
Publisher
UK Data Service
Publication year
2016
Terms of data access
The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.
Related publications
- Xiang, D. (2020) 'Optimization and preference learning for dynamic price of demand response in smart grid', PhD thesis, Northwestern University, Illinois, USA..
- Lee, C.S., Zhao, Z. and Stillwell, A.S. (2024) 'A generalizable approach to imbalanced classification of residential electric space heat', Environmental Research: Infrastructure and Sustainability, 4(3). doi:10.1088/2634-4505/ad6a7f