Heat Pump Performance Improvement by PVT and/or Energy Storage Integration

This PhD project at Ulster University - Belfast Campus addresses the urgent need for improved heat pump performance through the integration of photovoltaic thermal (PVT) technology and energy storage solutions. The UK’s net zero strategy highlights the importance of heat pumps, solar PV/thermal, hydrogen, and electric vehicles in decarbonising domestic energy use, with a particular focus on reducing reliance on gas for heating. However, challenges remain in system optimisation, user behaviour, and cost-effectiveness. The research will investigate innovative approaches to integrating energy storage (such as phase change materials, PCM), PVT, and nanomaterials to optimise heat pump performance, control strategies, and enable frost-free operation. Key areas of focus include: (1) exploring various configurations for integrating PVT with heat pumps, (2) evaluating the use of PCM at different levels within heat pump systems, and (3) enhancing system performance through advanced materials in PCM, PVT, or standalone heat pump setups. Supported by the Centre for Sustainable Technologies (CST) and technical staff, the project will utilise advanced simulation software such as TRNSYS, MATLAB, and Ansys for numerical analysis and system modelling. Experimental work will leverage existing facilities at Ulster University, including PV/T units, heat pump systems, test chambers, and characterisation equipment, with opportunities for collaboration with partner universities and industry. The research is highly interdisciplinary, spanning environmental science, mechanical and electrical engineering, materials science, and chemical engineering. It aims to deliver practical solutions for demand-side flexibility, improved energy efficiency, and enhanced user benefits in the domestic sector. The project is supervised by Dr N Shah, Prof N J Hewitt, and Prof J D Mondol, who bring extensive expertise in renewable energy and system integration. Applicants should have a strong background in engineering or physical sciences, with an interest in renewable energy technologies and system simulation. The application deadline is February 27, 2026. For further details and to apply, visit the official FindAPhD project page.