Machine learning methods for modelling and optimising CO2 heat pumps

Heat represents nearly half of the world's energy consumption and contributes to almost 40% of energy-related greenhouse gas emissions. Meeting the goal of net-zero emissions by 2050 requires the installation of approximately 600 million heat pumps annually by 2030. Heat pumps using CO2 as refrigerant will have a pivotal role to play in heat decarbonisation.

The optimization of operational strategies for CO2 heat pumps through advanced computational methodologies represents a pioneering endeavour in the realm of sustainable heating and cooling technologies. CO2 heat pumps, utilizing carbon dioxide as a refrigerant, offer significant advantages in terms of environmental impact and energy efficiency compared to traditional systems. However, unlocking their full potential requires precise control and optimization of operational parameters. By leveraging advanced computational methodologies this project aims to enhance the operational strategies of CO2 heat pumps across a broader operating range for greener and more sustainable heating/cooling applications.

We are offering a PhD opportunity focused on applying machine learning methods to develop optimal operational strategies for trans-critical CO2 heat pumps. This project is based within the Department of Mechanical and Aerospace Engineering.

The student will have a great

opportunity to collaborate with our industry partner isentra Ltd

(https://www.isentra.net) to have access to their substantial dataset of

operational parameters from real heat pump for model validation and

optimisation.

We want all of our staff and Students to feel that Liverpool is an inclusive and welcoming environment that actively celebrates and encourages diversity. We are committed to working with students to make all reasonable project adaptations including supporting those with caring responsibilities, disabilities or other personal circumstances. For example, If you have a disability you may be entitled to a Disabled Students Allowance on top of your studentship to help cover the costs of any additional support that a person studying for a doctorate might need as a result.

We believe everyone deserves an excellent education and encourage students from all backgrounds and personal circumstances to apply.

Applicant Eligibility

Candidates will have, or be due to obtain, a Master’s Degree or equivalent from a reputable University in an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered.

Application Process

Candidates wishing to apply should complete the University of Liverpool application form [How to apply for a PhD - University of Liverpool] applying for a PhD in Mechanical Engineering and uploading: Degree Certificates & Transcripts, an up-to-date CV, a covering letter/personal statement and two academic references.