As part of the programme, the optimum design for heat pumps will be identified from both a technical and economic perspective at various system levels. There will also be a strong focus on the development of innovative methods of providing digital services for heat pump systems.
The joint PhD programme focuses on innovations in the field of building heating and cooling. The HEAPNOSYS (HEAt Pumps as the driver of iNtelligent energy SYStems) programme is based on various research projects which are closely linked thematically and promote scientific exchange between the experts at AIT and KTH. The programme is based on two pillars: the development of a heat pump system for different boundary conditions in densely populated urban areas and the development of innovative services for building heating and cooling systems. The two pillars comprise the development and testing of a prototype heat pump system as well as the development of digital heat pump twins, both of which support the installers and service personnel with the safe, efficient and error-free installation, operation and maintenance of heat pump systems.
Andreas Kugi, AIT scientific director, said: “This international cooperation gives doctoral students exclusive access to leading experts and institutions in the field of heat pump technology, thermal energy systems and digitalisation. In collaboration with KTH as a renowned academic partner, we can fulfil the programme’s claim of achieving excellence in all areas”.
Hatef Madani, Associate Professor and head of Division of Applied Thermodynamics, Department of Energy Technology at KTH, said: “Digitalisation is more than ever playing an increasingly important role in the development of innovative solutions to challenges in the energy sector. Our PhD programme offers students the opportunity to work at the forefront of these developments and make a significant contribution to the future of building heating technologies.”
The PhD programme is open to applicants with a strong background in energy engineering, mechanical engineering, process engineering, physics, a similar discipline or computer science.
