Tadj Oreszczyn Director School of Environment, Energy and Resources

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1 Tadj Oreszczyn Director School of Environment, Energy and Resources

2 The UCL Energy Institute Our Vision: A globally sustainable energy system Strategic Focus: Systems and Demand Methods: Multi-disciplinary, observation, data collection, analysis, energy epidemiology, model development and scenarios our laboratory is the real world Highly motivated multi-disciplinary team, 53 research staff and 100 MRes/MSc. A current portfolio of 20m of funding. Established a vibrant Doctoral Training Programme currently 59 PhD students

3 The RCUK Centre for ENERGY EPIDIEMIOLOGY: The study of energy use in the population

4 epidemiology epi = upon demos = people ology = logic, study Term hijacked by the medics! John Snow founding father of epidemiology discovered that Cholera spread via a water pump in Soho (1849 to 1854). Worked at University College Published in The Builder, 1855: an Illustrated Weekly Magazine for the Architect, Engineer, Archeologist, Constructor, Sanitary Reformer and Art Lover. London. Now titled: Building (building.co.uk) 4

5 Health Research Epidemiology Physiology Psychology 5

6 Energy & Building Research Energy Epidemiology (population) Energy & Building Science (buildings) Behavioural Science (people) 6

7 Aims Undertake world leading research into energy use in buildings and transport through the analysis of novel combinations of empirical data. Improve the collection of empirical energy demand and related data. Help combine and curate relevant data sets Help researchers, industry and policy makers use energy data and the results of data analysis via securing open access to data, and providing a bureau service.

8 Highlights Energy Epidemiology: new approach to energy demand research Novel algorithms linking individual building, energy and use data in non- residential, 90% success in Camden. Smart analysis of smart meters: Can smart meter data generate occupant independent empirical energy labels? Empirical relationship between internal temperature and efficiency, integrating into the National Household Model as part of a DECC project costing health benefits of energy efficiency. Publication of a Bayesian analytic method for heat- flux data helped established that uninsulated solid walls (¼ of the English stock) lose 40% less heat than we thought Ships are slowing: decline in CO2 emissions from shipping in part due to ships choosing to travel more slowly.

9 Why LUKES? LUKES - Longitudinal UK Energy Survey Limited data for policy on energy, particularly sociotechnical data The factors driving end use energy demand are changing rapidly, driven by technology developments, social trends and regulatory requirements Energy policy requires understanding how technical, physical components interact with social, human components. The aim of LUKES is to provide high-resolution descriptive statistics on disaggregate energy demand in homes, along with data that allows us to understand the drivers of energy demand in homes and how these change over the time 9

10 IEA Annex 70: Building Energy Epidemiology 15 Countries 20 organisations Data support mechanisms Data foundation Policy & programme development Policy makers Deep energy and carbon reduction pathways - Data procurement - Data management - Data storage - Data protection - Funding - Legislation [B] - Empirical buildings, energy, technology data for national stock, populations [C] - High-quality field trials [D] - Detailed subgroup surveys [A] National Building Stock Models & Analysis Knowledge transfer National transition pathways Global stock modelling Deep energy and carbon reduction reporting requirements Market analysis Technology & Product Manufacturers

11 Support countries in developing realistic transition pathways to substantial and long-term reductions in building energy use and carbon emissions Evaluating the scope for using real building energy use data at scale to inform policy making and to support industry in the development of low energy and low carbon solutions;; Establishing best practice in the methods used to collect and analyze data related to real building energy use, including building and occupant data;; and, Comparing across the national approaches to developing building stock data sets, building stock models, and to addressing the energy performance gap in order to identify lessons that can be learned and shared. 11

12 Smart Meter Research Platform A smart meter research platform will deliver substantial benefit to the energy research community for decades to come by providing access to high quality, high resolution energy data that has previously been difficult or impossible to obtain. Smart meter data at monthly, daily or half-hourly intervals. Evidence base for intervention, observational and longitudinal studies across the socio-technical spectrum. World class governance framework that protects data privacy A consistent, trusted and ongoing channel for accessing energy data.