industrial cleaning


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.


The diagram from the year 2018 shows the development of the functionality of a heat transfer system with continuous pollution by environmental influences. The blue line shows the surface factor for a twice yearly cleaning. The orange line shows the surface factor in compliance with the cleaning schedules set by the ControlMaster monitoring system. The cleaning was automated by the mycon cleaning system JetMaster AS. The diagram shows a clear improvement in the function of the heat transfer system. Overall, this resulted in significant energy savings.

Digital monitoring of heat exchanger systems