Energy System Digitalisation

1. Project Overview

Emerging smart grid technologies including artificial intelligence, distributed ledger, and data analytics drive the decarbonisation of energy systems with the least costs. The digitalisation of modern power grids enables large volumes of data to be exploited for assisting accurate prediction, strategic planning, smart control, and massive trading in energy systems.

Prospective research topics include, but are not limited to: i) Energy system long-term planning and short-term operational control; ii) Analysis of decision making and interaction among stakeholders in energy systems, e.g., policy makers, generators, and consumers through using optimisation, game theory, or agent-based modelling; iii) Energy data analytics through using machine learning; iv) Energy policy, economics and market design.

2. Candidate Profile

A master’s degree (or equivalent) in engineering, computer science, applied mathematics, or a related discipline. Strong programming skills (e.g., Python, MATLAB, or similar). Knowledge of energy systems, thermodynamics, or building services engineering is desirable. Ability to work independently and engage with academic and industrial stakeholders.

3. How to apply

Those interested should send a CV, personal statement (outlining how their relevant experience would make them a strong candidate for the project), transcripts, and contact details of two referees to w.hua@bham.ac.uk.