UCL Energy Institute
Cliff’s research interests build 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
- Estimation of the efficiency improvement associated with the replacement of conventional with condensing boilers in the building stock from national datasets
- Investigation of the thermal performance of floors and walls, and the unintended consequences of retrofitting.
- Building energy use in COVID-19 lockdowns: did much change?
- An empirical energy demand flexibility metric for residential properties
- Effect of boiler oversizing on efficiency: a dynamic simulation study
- Thermal performance of occupied homes: A dynamic grey-box method accounting for solar gains
- Quantifying the measurement error on England and Wales EPC ratings
- Shifting the focus: 2 Reducing energy demand from buildings
- The relationship between airtightness and ventilation in new UK dwellings
- Space heating operation of combination boilers in the UK: The case for addressing real-world boiler performance
Banner photo credit: Val Vesa on Unsplash