Research focus: Spatial dimensions of energy demand.

As an undergraduate I completed a degree in Geography at the University of Leeds. From there I went on to work for SABSCO Ltd where I began as a technician assembling and operating systems to complete the commissioning process for newly built and refurbished power stations. After a break to travel I returned to continue work as a site supervisor and project manager for the same company taking on the responsibility of running projects from inception to completion. During my time working for SABSCO I successfully completed projects across Europe, North Africa and the Middle East.

Subsequent to this I completed a Master’s of Science (MSc) in Geographic Information Science (GIS) at UCL. This complemented my undergraduate degree by adding technical knowledge of spatial analysis. This year also served to supplement my understanding of academic practices through exposure to lectures and conferences alongside different forms of academic writing. Output from this masters degree can be seen online in the form of a poster created from my thesis.

I have recently completed a Masters of Research (MRes) in Energy Demand Studies and PhD at UCL with the LoLo CDT.  My PhD set out to improve on national annual resolution scenarios of wind capacity and electricity demand using geographical information and high resolution weather data. Wind capacity from National Grid scenarios was redistributed to a 0.5 degree grid and generation simulated hourly over a 30 year period using climate reanalysis data. Domestic electricity demand was simulated at the same resolution using the same weather data. This allowed analysis to examine the impact of aggregated scenarios at a disaggregated resolution, challenging and complemented National Grid’s analysis.

I have stayed on at the UCL Energy Institute post PhD and I am currently working on an energy demand simulation tool for cities. This role utilises a lot of what I have learnt during my time at UCL. I am also continuing to use my PhD research in the development of spatiotemporally disaggregated wind generation models.

The spatiotemporal patterns of energy demand and supply in the UK – thesis