Eoghan’s research focusses on addressing the challenge of transitioning to a low-carbon future and in particular the role that active energy consumers and energy storage can play in the secure integration of high penetrations of renewable energy into power systems. His research is fundamentally interdisciplinary in nature, integrating quantitative, data-driven engineering models of energy supply and demand with qualitative insights from behavioural and social sciences. He has more than 10 peer-reviewed publications across a range of subjects including the economic and environmental impact assessment of demand response and energy storage, behavioural factors affecting demand response of consumers with PV, social implications of demand response in future power systems, and the consumer privacy impacts of smart meter data.
Eoghan holds a BSc in Physics from Imperial College London, and MSc and PhD degrees from the Centre for Renewable Energy Systems Technology at Loughborough University. He holds the honorary position of Academic Visitor at Loughborough University’s Wolfson School of Mechanical, Electrical and Manufacturing Engineering.
Oxford Martin Programme on Integrating Renewable Energy. Fellow. Responsible for developing the analytical framework for assessing the potential role for demand response to integrate high penetrations of renewables in combination with alternative integration options including energy storage and interconnection. Oxford Martin School, 2016-2018.
Realising Transition Pathways. Research Associate. Developed novel methodology for visualising and analysing social practice networks using network theory, with the goal for integrating social practice theory into engineering modelling. EPSRC, 2013-2016.
Integrated, Market-fit and Affordable Grid-scale Energy Storage. Research Associate. Assessment of the role of energy storage to mitigate wind curtailment in the Irish power system and potential for meeting renewable electricity targets. EPSRC, 2013-2016.
Transforming the Top and Tail of Energy Networks. Research Associate. Developed high-resolution stochastic integrated thermal-electrical domestic demand simulation tool for future low-carbon distribution network analysis. EPSRC, 2013-2016.
Supergen Highly Distributed Energy Futures (HiDEF). PhD Student. Privacy implications of smart meters, and investigation of the willingness and ability of domestic consumers to respond to dynamic electricity pricing in low-carbon power systems. EPSRC, 2010-2013.