Digital monitoring of heat exchanger systems
On the basis of several tens of thousands of data records, which were transmitted to us by customers or measured by us, exact calculation models could be developed. These calculation models showed surprising insights into the effects of already relatively light soiling on the effectiveness of heat exchangers. Together with the Hamburg University of Applied Sciences, mycon is working on converting the existing data into an algorithm. This algorithm then displays the optimum cleaning time, taking into account the costs for the required cleaning. ControlMaster can, however, also start automated cleaning processes on its own, including all additional measures required for this. This makes considerable energy savings possible.
Heat exchangers for cooling and air conditioning account for approx. 22% of global energy consumption. There is considerable potential for savings here by precisely determining the optimum time for cleaning and immediately following effective cleaning.