Centre Deputy Director (LoLo CDT)
Cliff Elwell
Centre Deputy Director (LoLo CDT)
UCL Energy Institute
clifford.elwell@ucl.ac.uk
Biography
Cliff Elwell is an Associate Professor at UCL Energy Institute, where he leads the Physical Characterisation of Buildings group, co-leads the UCL-Energy Buildings Theme, and is Deputy Director of the EPSRC Centre for Doctoral Training in Energy Demand (LoLo) and the forthcoming CDT in Energy Resilience and the Built Environment (ERBE).
Cliff’s research interests are primarily in building physics, focussing on characterising the performance of buildings, building systems and building elements through in situ monitoring and analysis using a range of methods. His work often features the application of physically informed models and Bayesian analysis. His research builds on his experience in physical sciences, physics and materials science, and in data analysis. He has an active interest in applying the tools and techniques – measurement, experimental design, statistical methods etc – of these disciplines in the energy demand domain.
Cliff’s core interest is in the measurement of energy use, and parameters related to it, to characterise the performance of buildings, building elements and systems. He works with the Physical Characterisation of Buildings team to undertake monitoring campaigns, develop physically informed models, undertake analysis and relate the outcomes to the complex socio-technical factors that affect building performance, and policies and practices that may support reductions in carbon emissions.
Recently Cliff has contributed to a range of projects, including:
– The development of a novel technique to characterise the thermal performance of building elements utilising Bayesian analysis
– Investigation into the distribution of airtightness test results for new UK dwellings, and how they relate to targets set for compliance purposes.
– Investigation of the thermal performance of floors and walls, and the unintended consequences of retrofitting
– Estimation of the efficiency improvement associated with the replacement of conventional with condensing boilers in the building stock from national datasets