Data Centre Modelling and Energy System Integration

About the Project

1. Project Overview

Data centres are now critical infrastructure for digital services and artificial intelligence applications. Their rapid expansion creates substantial energy demand, leading to challenges in electricity system stability, decarbonisation, and integration with local energy resources. At the same time, data centres can offer opportunities to provide flexibility, utilise waste heat, and support renewable integration.

This PhD project will investigate the modelling and optimisation of data centre operations within the wider energy system. The research will develop methods to characterise data centre load profiles, cooling and heat recovery systems, and interactions with electricity, heating, and cooling networks. It will also assess how data centres can participate in demand response markets, integrate with renewable energy, and contribute to local decarbonisation targets.

2. Research Objectives

1. Develop high-resolution models of data centre energy demand, including IT loads, cooling systems, and backup generation.
2. Explore integration strategies with local and national energy systems, including electricity, district heating, and hydrogen networks.
3. Evaluate operational strategies for cost reduction, carbon mitigation, and resilience enhancement.
4. Investigate business models and policy frameworks that enable data centres to support energy transition goals.

3. 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.

Funding Notes

This is a self-funded post. However, applicants who are willing to apply fundings by themselves will be supported, e.g., government funding or industry funding.