In a new study, researchers from UNED investigated how AI can predict the performance of the Enerin AS‘s novel Stirling cycle high-temperature heat pump (SC-HTHP). They compared two machine-learning models to determine which can estimate the system’s efficiency most accurately.

From 13-15 July 2026, the SUSHEAT project had the pleasure to be featured at the Universidad Nacional de Educación a Distancia (UNED)’s Summer Course, La nueva revolución energética: del petróleo a la electrificación renovable (English translation: The New Energy Revolution: From Oil to Renewable Electrification). Delivered entirely in Spanish, the event took place at the Associated Centre of the UNED in Ávila, Spain.

In a new study, researchers from UNED investigated how AI can predict the performance of the Enerin AS‘s novel Stirling cycle high-temperature heat pump (SC-HTHP). They compared two machine-learning models to determine which can estimate the system’s efficiency most accurately.

Driving Industrial Decarbonization: SUSHEAT Advances Innovations in Vienna at their M36 Meeting In May, the SUSHEAT consortium gathered in Vienna, hosted by …