The Lucerne University of Applied Sciences and Arts has proven that the Yuon ONE heating control system from the start-up Yuon Control from Oberburg reduces the consumption of heating energy by an average of 20 per cent. 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 for heating systems, according to a media release. It is being funded by the Innosuisse Innovation Promotion Agency.
Yuon Control AG says it has developed Yuon ONE, a predictive, self-learning heating control system that helps to heat more intelligently and save costs. It is thus also able to optimise the utilisation in district heating networks.
The Assessment research group, led by Professor Dr Philipp Schütz at the Lucerne University of Applied Sciences and Arts’ Competence Centre 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 Minergie houses. The heating was regulated alternately for a fortnight with the Yuon control device and with a traditional control device without optimisation. The test persons turned off the heating via the Yuon app during absences. This increased the savings to as much as 23 per cent, they say. At the same time, a reduction in CO2 emissions was observed in all building types.
According to the study, Yuon ONE is suitable for new and old buildings, regardless of the type of heating and the age of the building. Machine learning-based software takes into account the respective building characteristics such as thermal capacity, passive solar yields and tightness. “The innovation is that the system automatically learns the behaviour 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.
