On the basis of several tens of thousands of data sets that were sent to us by customers or measured by us, we were able to develop precise calculation models. These calculation models revealed surprising findings about the effects of even 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 shows the optimum cleaning time, taking into account the costs for the required cleaning. However, ControlMaster can then also start automated cleaning processes independently, including all additional measures required for this. This enables considerable energy savings to be made.
Heat exchangers for cooling and air conditioning account for around 22% of global energy consumption. Overall, there is considerable potential for savings by precisely determining the optimum cleaning time and effective cleaning immediately afterwards.
