Heating control from Yuon Control saves 20 percent energy


Oberburg BE/Lucerne – Researchers at the Lucerne University of Applied Sciences and Arts have shown that the self-learning, predictive heating control system from the Bern-based start-up Yuon Control saves an average of 20 percent energy and thus CO2. It can be used in all types of residential buildings.

The Lucerne University of Applied Sciences and Arts has proven that the Yuon ONE heating control system from the Oberburg-based start-up Yuon Control reduces heating energy consumption by an average of 20 percent. Yuon Control and the Lucerne University of Applied Sciences and Arts are working on a project to lay the foundations for efficient and intelligent control Fundamentals for efficient and intelligent control for heating systems, according to a media release. It is sponsored by the Innosuisse Innovation Promotion Agency.

Yuon Control AG says it has developed Yuon ONE, a predictive, self-learning heating control system that helps heat more intelligently and save money. As a result, it is also able to optimize capacity utilization in district heating networks.

The Assessment research group, led by Professor Dr. Philipp Schütz at the Lucerne University of Applied Sciences and Arts’ Competence Center for Thermal Energy Storage, tested this in seven buildings in the Bern and Lucerne regions, ranging from only moderately insulated houses from the 1970s to modern Minergiehaus buildings. The heating was regulated alternately for two weeks with the Yuon control device and with a traditional control device without optimization. The subjects would have turned off the heating via the Yuon app during absences. This has increased savings to as much as 23 percent, it says. At the same time, a reduction in CO2 emissions was observed in all building types.

Accordingly, Yuon ONE is suitable for new and old buildings, regardless of heating type and building age. Machine learning-based software takes into account each building’s characteristics, such as thermal capacity, passive solar gain, and tightness. “The innovation is that the system automatically learns the behavior of the building, its thermal properties,” Dr. Sebastian Hersberger, co-CEO of Yuon, is quoted as saying. In addition, the system incorporates the weather forecast from MeteoSwiss. ce/heg