Background

I am a Research Associate with the School of Engineering, working with the Supergen Energy Networks Hub, the CLEARHEADS project (with University of Reading) and with the e4future project with the Turing Institute.

My current research interests are focussed on whole systems modelling of energy networks across network scales (both distribution and transmission), across energy vectors (gas, electrical and heat systems), with a particular focus on climate change impacts on these systems and data-driven approaches.

I received the M.Eng and D.Phil (PhD) degrees in Engineering Science from the University of Oxford in 2015 and 2020, resepectively. For the duration of my PhD I held a Clarendon Scholarship.

- Smart Local Energy Systems/Smart Grids
- Unbalanced Distribution Network Analysis
- Co-Simulation of Gas and Electricity Systems
- Power System Planning and Operations
- Whole Energy Systems Analysis

Teaching

Previous Teaching Experience

Stipendiary Lecturer, Christ Church, University of Oxford 2017-2019
- Tutoring first and second year engineering mathematics and electrical engineering modules.

Graduate research assistant, Dept. Engineering Science, University of Oxford 2016-2017
-Tutoring third year B14 Information Engineering modules (Signal and Image Analysis).

Publications

• Deakin M, Greenwood D, Taylor PC, Armstrong P, Walker S. Analysis of Network Impacts of Frequency Containment provided by Domestic-Scale Devices using Matrix Factorization. IEEE Transactions on Power Systems 2021, epub ahead of print.
• Deakin M, Bloomfield HC, Greenwood D, Sheehy S, Walker S, Taylor PC. Impacts of Heat Decarbonization on System Adequacy Considering Increased Meteorological Sensitivity. Applied Energy 2021, 298, 117261.
• Deakin M, Sheehy S, Greenwood DM, Walker S, Taylor PC. Calculations of System Adequacy Considering Heat Transition Pathways. In: International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2020). 2020, Liege, Belgium: IEEE.
• Deakin M, Walker S, Taylor PC. Flexibility from Multi-Vector Systems: Beyond LV Network Modelling. In: CIRED 2020 Berlin. 2020.