Jamie Bright

Project Title: Modelling the solar resource, photovoltaic systems and grid interaction to assess the barriers associated with solar energy technology uptake

Background

I graduated the University of Leeds in 2012 with a BEng and MEng in Energy and Environmental Engineering. Throughout my studies I carried out research in hydrogen production and future solar cell material research. The solar research into using silver nano-technology sparked my interest in the solar energy sector. I have now completed an MSc in low carbon technologies with focus on assessing the solar potential of the UK, and am now into my second of three years of the PhD.

Research Interests

Residential solar energy technologies are expected to become widely deployed throughout the UK. At a small level of penetration the impacts are not expected to be detrimental, with a more concentrated level of penetration, however, concerns about their impact are raised. My research will develop a model that captures the intermittency related with the solar resource, produces household demand and supply electricity flows and their subsequent interaction with the electricity network. From this I intend to assess the barriers and limitations to residential PV systems uptake through answering important questions such as: how can residential supply and demand within a PV system be altered to enable minimal impact and maximum environmental effectiveness?

Solar Resource Model – Journal of Solar Energy

The stochastic solar resource model is made available for adoption and adaptation through GitHub and can be downloaded from <http://jamiembright.github.io/BrightSolarModel>.

Bright, J.M.; Smith, C.J.; Taylor P.G.; Crook, R. 2015. Stochastic generation of synthetic minutely irradiance time series derived from mean hourly weather observation data. Journal of Solar Energy