The Institute for Energy Systems at the University of Edinburgh invites applications for a PhD studentship in “Designing Multi-Energy Markets with Open-Source Energy System Models”. The aim of the project will be to advance the state-of-the-art in open-source energy system models to aid the design of multi-energy markets which can support a whole system approach to decarbonising all energy sectors. The student will be supervised by Dr Andrew Lyden and Prof Daniel Friedrich.
The transition to net zero energy systems requires a paradigm shift in how energy is delivered in all sectors including power, heating, cooling, transport, and industry. Interactions between energy sectors is becoming increasingly important with plans for mass electrification of heat and transport. The UK government has set targets to install 600,000 heat pumps per year by 2028 and to have 300,000 public chargers in place for electric vehicles by 2030.
A whole systems approach to the energy system which considers the synergies between all energy sectors can deliver a transition that lowers cost and is more politically and socially acceptable. However, reforms of electricity markets to deliver mass low-carbon power have typically been considered separately to other energy sectors. This problem can be tackled by integrating the design of electricity markets into multi-energy markets.
This project will focus on developing open-source energy system models at national and regional scales to aid the design and optimisation of multi-energy markets. These models will enable analysis of the impact of different market structures on the synergistic integration of energy sectors and how they can aid the pathway to a net zero energy system. An open-source approach improves reliability, reproducibility, reusability, and transparency of research.
The candidate will develop a wide range of skills in simulation, optimisation, and data analysis which are widely applicable to future career development. Additionally, there are opportunities for engaging with an open and inclusive community of open-source energy system developers both within IES and globally.
Please note that this position may close early if a suitable candidate is identified.
- 2.1 or above (or equivalent) in Engineering, Mathematics, Physics, Energy Engineering/Economics, Informatics, or similar
- Programming in Python, Julia or other high-level language
- Knowledge of energy economics
- Experience of energy system modelling and optimisation
- Data analysis, optimisation and/or machine learning
To Apply please visit here.