Development of adaptive control for intelligent energy-efficient heat pump-driven ventilation system

The project develops an intelligent control for a heat pump-driven decentralized ventilation system. This type of system is gaining ground on the basis of a sustainability criterion, as the system is channelless and in many cases can replace a water-borne heating system.

As this type of system must expect widespread use, it is particularly important that the system is energy efficient and supports energy flexibility. The control is developed in a collaboration between Airmaster and the Danish Technological Institute based on experiments in the department's new advanced Indoor Climate Laboratory.

The project develops the control and regulation based on algorithms based on concepts for MPC (Model Predictive Control) and AI (Artificial Intelligence).

The control must continuously adapt to the upcoming anticipated operating situation based on the previous, registered operation via machine learning. For example, the regulation algorithms themselves must over time adapt to the actual need for ventilation, heating and cooling based on knowledge of the expected, future indoor climate need.

The ventilation unit's control is developed and tested in the Indoor Climate Laboratory at the Danish Technological Institute under a number of well-defined conditions, where the ventilation unit's operation is tested under general thermal influences. The goal is to ensure that the regulation, based on the developed algorithms, works optimally under all conditions.

The final version of the ventilation unit with the developed adaptive control will be set up and demonstrated at one of Airmaster's many customers.

The results from the project will be made publicly available on the Danish Technological Institute's and Airmaster's websites, and a theme day will be held at the Danish Technological Institute. Finally, the project's results are disseminated through articles in Danish and foreign professional journals.