SANDY Forecast Service: Intelligent Preheating
We teach your heating system to be self-learningDigital controllable heating valves are present day technological standard and are mostly controlled manually or rigidly scheduled. “Intelligent Preheating” taps in the full potential of digitalization and transforms your system to a custom and self-learning one. In contrast to conventional wireless radiator heads different parameters like room size and weather are taken into account to reach the desired temperature by a default time. This way your customer profits from an energy efficient and more comfortable heating control. “Intelligent Preheating” is based on the established Sandy Forecast Services, which are simple, fast, reasonably priced and are easy to integrate into existing systems because the cloud services are reachable with a standard interface.
Product advantages in detail
Surplus value for your customer
Overvalue for your company
A customer would like to enter a room at 7a.m. and have it preheated to 21°C.
Heating moment too late or too early
A configured smart home system or a thermostat opens and close heating valves at certain times. In this scenario (fig. ”to late”) the target temperature for 7 a.m. is elevated from a nighttime low of 17°C to a pleasant 21°C.
The heating valve opens and the room begins to warm up. Resulting in having not reached the target temperature of 21°C at 7a.m., resulting in a to cool room at 7a.m..
Following this experience the customer adjusts the heating control and starts heating at 6:20a.m (fig. “to early”) to reach the target temperature. However, in this case he started heating up the room to early and the provided warmth is not being used before 7a.m..
The customer could try and approach the optimal preheating moment by trial and error. However this procedure is time consuming and impossible to achieve in larger environments like offices or large building complexes with many rooms.
Optimal heating moment through intelligent preheating
In this case (fig. ”exactly”) the optimal preheating moment was determined by SANDY based on data collected by the radiator controller head. The user just entered the target temperature of 21°C at 7a.m. into the system and the heat was adapted to the room by utilizing the learned room parameters individually. This way the heating control started at an optimal time and reached the target temperature at exactly the right time, without wasting any energy.