Energy and Behaviour

It is becoming clear that the the way people live their lives, including the way they inhabit buildings, makes a substantial difference to their energy use. Households of similar sizes and compositions living in homes of similar design and with similar infrastructures can have very different ways of living for all sorts of habitual, cultural and aesthetic reasons. This has implications for potential energy efficiency interventions and for the modelling of future energy demand. The same is true of non-domestic energy use where sensitivity to price (for example) is known to vary over time as contextual factors interplay. SERG’s research in this area concentrates on understanding and modelling behavioural aspects of energy use including potential rebound effects.

16th June, 2017

SERG’s Dr Tom Rushby gave a summary of early SAVE project results at two SAVE ‘Open Days’ on the 10th & 11th of May 2017. The events, which were lead by SSEN but hosted by the University, consisted of a series of short talks and facilitated discussions intended to help inform the project’s future direction. Tom […]

SAVE logo FINAL v2_cropped

Solent Achieving Value from Efficiency (SAVE) project poster presented to the ‘Clean Carbon‘ USRG by SERG’s Dr Thomas Rushby, 10th May 2017 References list: [1] EA Technology. Future Load Growth from presentation titled ‘SAVE Project Customer & Network Model Meeting’. 17th February 2015 [2] Newsham, Guy R., and Brent G. Bowker. ‘The Effect of Utility Time-Varying […]

11th May, 2017

SERG’s Dr Tom Rushby gave a summary of the SAVE project to members of the University’s ‘Clean Carbon‘ USRG on the 10th May 2017. The event, which featured a keynote from Prof. Jon Gibbins, Director of the UK Carbon Capture and Storage Research Centre (UKCCSRC) on the state of CCS in the UK, consisted of […]

8th July, 2016

A further paper from the ESRC funded Census2022 project has just been published in the Computers, Environment and Urban Systems journal. Entitled “Electricity consumption and household characteristics: Implications for census-taking in a smart metered future”, the paper briefly reviews the nature of current and future census taking in the UK before outlining the household characteristics that are […]

26th May, 2016

Dr Ben Anderson of the Sustainable Energy Research Group (SERG) at the University of Southampton has been awarded a prestigious three year EU Global Fellowship under the Marie Skłodowska-Curie programme. The two year outgoing phase of the fellowship will be hosted by the University of Otago’s flagship Centre for Sustainability where Dr Anderson will be embedded in […]

9th March, 2016

SERG’s Dr Ben Anderson recently gave a summary of the ESRC funded Census2022 project results as part of a Market Research Society symposium on “Can Big Data replace the Census? What does Big Data give us now?“. Speaking alongside representatives from CACI, Telefonica and the Office for National Statistics, Ben outlined the potential value of electricity […]

16th January, 2016

SERG’s contributions to the RCUK-EUED DEMAND centre were recently showcased at an event co-hosted by DEAMND and the Association for Decentralised Energy (ADE) on 14th January. Dr Ben Anderson gave three presentations covering: “Trends in the timing of energy using activities: what can be learnt from time use data?” – an overview of the use […]

15th September, 2015

SERG’s Dr Ben Anderson gave two papers at the recent Royal Statistical Society International Conference 2015 held at the Univesity of Exeter: “What can DECC’s NEED data tell us about levels and change in domestic electricity consumption?” gave an overview of some recent analysis of DECC’s domestic energy consumption dataset drawing implications for the need […]

Population, Space & Place
20th July, 2015

Newing, Andy, Anderson, Ben, Bahaj, A.S. and James, P.A.B. (2015) The role of digital trace data in supporting the collection of population statistics – the case for smart metered electricity consumption data. Population Space and Place, 1-13. (doi:10.1002/psp.1972). Debates over the future of the UK’s traditional decadal census have led to the exploration of supplementary […]

Model 2 imputed mean half-hourly household electricity demand by number of
earners (Source: Author’s calculations using UK Time Use Survey 2000/1, weekdays,
November 2000 - February 2001, weighted)
25th February, 2015

SERG’s first report for the LCNF funded SAVE project has been published. The report,  “Report 2.1 – SAVE Customer Model Framework Specification“, lays out the applied research context for the SAVE Customer Modelling Framework (SCMF) and describes its key requirements. The report then outlines a microsimulation modelling approach than can meet these requirements and describes its conceptual foundations and method […]