In the project, a self-learning predictive control is developed and demonstrated that can de-liver the best possible indoor climate at minimal energy consumption. This is achieved with a digital twin
An intelligent adaptive control is being developed for heat pump-driven decentralized ventilation systems. This type of system is gaining ground on the basis of a sustainability criterion, as the
Disinfection with ultraviolet (UV) radiation is an effective but energy consuming way to control the corona pandemic. New UV-LED technology enables new applications of UV-light with potential energy
International lighting standards set important conditions when it comes to saving energy on
lighting. The project will incorporate greater attention to energy savings combined with lighting
quality in
The aim is to develop an electrified fast process for continuous heat treatment of solid foods using ohmic heating. The process is very energy efficient as the energy loss is only around 5%. In
The project shall uncover and realize potentials for energy savings on ventilation systems in public buildings using artificial intelligence on data concerning energy usage, indoor environment
In industry, despite previous efforts, there is still a large realizable potential for energy savings. With the project's developed IT software package, energy audit consultants and energy man-agers