Energy efficiency and optimized energy use are of enormous importance in business as well as for private individuals in order to save costs and reduce CO2 emissions.
That's why Enerbrain combines the latest hardware and software to optimize the indoor climate and minimize the CO2 emissions of buildings.
Sensors are used to collect data on temperature, humidity and CO2 in the building and upload it to a cloud. This data is analyzed by an intelligent algorithm and the HVAC system (heating-cooling-ventilation) is adjusted based on this. The data is visualized for consumers in real time. In this way, the system and the data can be easily monitored and control parameters can be set. In order to constantly guarantee the best indoor climate, the technology is based on a self-learning system to sustainably increase the energy efficiency of the building and improve the indoor air quality.