Alder Lecture Theatre, Nucleus Building, King’s Buildings, University of Edinburgh
*Please note, this lecture has now been postponed. Details about the rescheduled lecture will be released in due course.*
The Net Zero Jigsaw: how data and digitalisation complete the energy puzzle
Effective use of energy data and digitalisation are essential for the energy sector to meet its net zero targets by 2050. To reach this goal, millions of low-carbon technologies have been connected to our energy systems, creating an abundance of smart assets such as electric vehicles, solar panels and heat pumps. Adoption of data-driven digital methods can help us unlock the value from both industrial and domestic assets, ranging from a Tesla Megapack to your neighbour’s Nissan leaf.
In this lecture, I will talk about the multidisciplinary “net zero jigsaw” which has social, economic and technical implications in addition to environmental benefits. I will also explore the corner pieces of energy data and digitalisation, and present some insights from my research, using case studies and pilot sites from Scotland.
I am an Elizabeth Georgeson research fellow in Data and Digitalisation for Net Zero.
As a sustainable energy engineer and researcher, my ambition is to bridge the gap between academic research and implementation in the industry to accelerate the decarbonisation of energy systems. My research involves the use of data-driven and digital smart grid solutions and state-of-the-art technologies such as digital twin modelling, smart contracting, and AI as well as niche market mechanisms including smart local energy markets and flexibility trading.
Prior to my fellowship, I worked on the EPSRC DISPATCH Project towards multi-vector net zero heating and cooling solutions. I hold an award-winning Master of Engineering degree and a PhD from the School of Engineering, University of Edinburgh. Recently, I won the Scottish Renewables Young Professionals Green Energy Award for my PhD project on bottom-up decarbonisation of smart local energy systems.