Stephen Watson

MEng MRes

  • Research Associate in Modelling Active Buildings

Research and expertise

Analysis of monitored building energy demand and empirical modelling of energy demand. 

Summary of expertise 

I have analysed monitored building energy demand to determine savings resulting from various technologies and the factors affecting these savings. I have also analysed heating patterns and the factors affecting these. I have modelling national GB domestic heat demand and heat pump electricity demand based on monitored data from field trials. 

Current research activity 

  • Working as Research Associate on Active Buildings project
  • Working on second paper based on PhD work
  • Contributing to paper on zonal heating controls.
  • Analysing EFUS temperature data.

Recently completed research projects 

  • PhD on empirical modelling of additional electricity demand from domestic heat pumps.

Recent publications

  • Watson, S.D. et al, 2019. Decarbonising domestic heating: What is the peak GB demand? Energy Policy, 126, pp. 533-544. Available at: https://doi.org/10.1016/j.enpol.2018.11.001
  • Love, J. et al., 2017. The addition of heat pump electricity load profiles to GB electricity demand: Evidence from a heat pump field trial. Applied Energy, 204, pp.332–342. Available at: http://dx.doi.org/10.1016/j.apenergy.2017.07.026.

Teaching

I contribute to learning and teaching activities:

Postgraduate

  • MRes Energy Demand Studies

Profile

Career 

In my PhD I estimated current half-hourly GB domestic heat demand by creating a model based on half-hourly monitored gas demand from a sample of over 5000 homes. I then predicted future GB domestic heat pump electricity demand, based on the model of existing heat demand and monitored data from around 700 homes with heat pumps. 

During the PhD I took a short puase and worked for Loughborough University analysing gas and temperature data from a field trial of zonal heating controls (known as DEFACTO) to investigate the effect of such controls on gas demand and internal temperatures.

In my MRes course on energy demand (at Loughborough University) I developed a model of surface temperatures on artificial sports pitches to predict overheating, and verified this using monitored data. 

Previously I did a Master of Engineering at Durham University, including a final year project on heat recovery from domestic greywater.  The third year of this was studied at Technische Universität Berlin. 

External activities

  • Sharing key results from PhD research with department of Business, Energy and Industrial Strategy and with EDF Energy.

Key collaborators

My research and enterprise activities are conducted with a range of academic and stakeholder partners, including:

  • EDF Energy
  • Active Buildings Centre