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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 7857 Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial, 2013 785710.5255/UKDA-SN-7857-2 Strbac, G., Imperial College London, Department of Electrical and Electronic Engineering Tindemans, S., Imperial College London, Department of Electrical and Electronic Engineering Woolf, M., Imperial College London, Department of Electrical and Electronic Engineering Bilton, M., Imperial College London, Faculty of Natural Sciences, Centre for Environmental Policy Carmichael, R., Imperial College London, Department of Electrical and Electronic Engineering Schofield, J. R, Imperial College London UK Power Networks and Imperial College London OfgemUK Power NetworksEDF Energy UK Data Service 14 January 2016 ELECTRICAL ENERGY CONSUMPTIONDOMESTIC APPLIANCESHOUSEHOLDSENERGY EFFICIENCYGENDERNEWSPAPER READERSHIPHOME-BASED WORKHOUSINGROOMSBEDROOMSTHERMAL INSULATIONCENTRAL HEATINGLIGHTINGELECTRICAL EQUIPMENTENERGY PRICESENVIRONMENTAL ISSUES Science and technologyConsumption and consumer behaviourEnvironment and conservationEnergy and natural resources <P>Abstract copyright UK Data Service and data collection copyright owner.</P>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.<br> <br> The <a href="http://innovation.ukpowernetworks.co.uk/innovation/en/Projects/tier-2-projects/Low-Carbon-London-(LCL)/" title="">Low Carbon London</a> 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. <br> <br> 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.<br> <br><B>Main Topics</B>:<BR>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.<br> England Greater London Families/householdsSubnational LCL project trial participants in London during 2013. Numeric Cross-sectional (one-time) study Quota sampleVolunteer sample Postal surveyPhysical measurementsWeb-based survey; appliance survey, attitudes survey, smart-meter readings <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p> See <restrctn> Xiang, D. (2020) 'Optimization and preference learning for dynamic price of demand response in smart grid', PhD thesis, Northwestern University, Illinois, USA.. https://doi.org/10.21985/n2-0x1t-b764 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 https://doi.org/10.1088/2634-4505/ad6a7f https://oai.ukdataservice.ac.uk:8443/oai/provider 7857 2024-11-28T07:30:35Z ddi:codebook:2_5