Data and Modelling

SERG has extensive experience in collecting and analysing a range of energy generation and consumption data and this expertise underpins many of our other research activities.


20th March, 2014

SERG has secured funding to model domestic water demand under drought scenarios as part of the new NERC funded ‘IMPETUS‘ project. The project, to be lead by the University of Reading will start in June 2014 and run for 3 years. It is aiming to combine meteorological and hydrological models to produce drought ‘forecasts’ for […]


Investigators: Professor AbuBakr Bahaj, Dr Ben Anderson and Professor Patrick James. Contact: A.S.Bahaj@soton.ac.uk The Sustainable Energy Research Group (SERG) at the University of Southampton are the academic lead of a newly funded second tier low carbon project by funded by Ofgem and SSEPD valued at a total of Ā£10.3 million, starting in 2014. The consortium […]


The Exploring the value ofĀ transactional energy consumption data project is part of the wider ESRC funded Administrative Data Research Centre for England (ADRC). Investigator: Dr Ben Anderson Contact: b.anderson@southampton.ac.uk The Administrative Data Research Centre for England (ADRC), which is lead by Professor Peter Smith of the Southampton Statistical Sciences Research Institute, will enable information routinely […]


Using Energy Metering Data to Support Census 2021: A Feasibility Study is a project funded by the Office for National Statistics’ Beyond 2011 programme. Investigators: Dr Ben Anderson, Dr Patrick James & Prof. ā€˜Bakr Bahaj Contact: b.anderson@southampton.ac.uk The possible demise of the decennial UK Census presents social, policy and commercial researchers with both a challenge […]


Liveable cities logo
Grant details: Liveable Cities

Introduction   Project updates   Rezoning project   Results & publications How do we address energy consumption to meet low carbon targets? How do we address infrastructure ā€˜lock inā€™ to improve the carbon performance of the urban environment? How do we engender and embed low carbon pathways and engineering solutions for demand reduction and power […]


Compared to many parts of the world, the UK has under-invested in its infrastructure in recent decades. It now faces many challenges in upgrading its infrastructure so that it is appropriate for the social, economic and environmental challenges it will face in the remainder of the 21st century. A key challenge involves taking into account […]


Census 2022: Transforming Small Area Socio-Economic Indicators through ‘Big Data’ is a project funded by theĀ ESRC Transformative Research 2012/2013. Investigators: Dr Ben Anderson, Dr Patrick James & Prof. ‘Bakr Bahaj Contact: b.anderson@southampton.ac.uk The possible demise of the decennial UK Census presents social, policy and commercial researchers with both a challenge and an opportunity. The challenge […]


DEMAND: Dynamics of Energy, Mobility andĀ Demand is one of 5 RCUK End User Energy Demand Research Centres and is sponsored by EPSRC/ESRC with support from partners EDF-Energy, Transport for London and the International Energy Agency.Ā The CentreĀ is led by the Universities of Lancaster & Leeds and besides Southampton also involves researchers from Aberdeen, Reading, Birmingham, UCL, […]


This ESRC-fundedĀ 4 year year study is assessing the impact of community greening groups on a roll out program insulation upgrades in privately owned housing. The aims of the project which is a collaborative study between researchers of the School of Social Sciences and Civil & Environmental Engineering are to: Examine whether community action on climate […]


Internal temperature on north and south sides of office building

Several University of Southampton case study buildings of different age and state of repair have been monitored over longer time periods looking at environmental parameters such as temperature, relative humidity and carbon dioxide concentration. Measurements were made at five minute intervals over several weeks for each building. The scope of these studies was to identify […]