Overview
Develop the next generation of intelligent heat pumps by combining physics-based modelling with cutting-edge machine learning. Using real-world operational data from advanced heat pump systems and working closely with Isentra Ltd, you will develop AI-driven methods to predict, optimise and control performance, enabling smarter, more efficient and adaptable heating technologies for the transition to net zero.
About this opportunity
Heat accounts for nearly half of global energy consumption and around 40% of energy-related greenhouse gas emissions. Accelerating the deployment of heat pumps is therefore critical to achieving net zero. Heat pumps are particularly promising for high-temperature heating and industrial applications, but their performance depends strongly on operating conditions and control strategies.
This PhD project will develop machine-learning methods to model, optimise and control heat pumps, enabling efficient operation across a wider range of conditions.
The research will combine physics-based modelling with advanced AI/ML techniques, with the aim of developing smarter and more efficient heat pump systems for sustainable heating and cooling.
The project is based in the Department of Mechanical and Aerospace Engineering, University of Liverpool, and offers an excellent opportunity to work closely with our industrial partner, Isentra Ltd. The student will have access to substantial operational datasets from real heat pump systems, providing a unique opportunity to develop and validate ML models using real-world data and address practical engineering challenges.