More transparency in energy consumption through IIoT

Energy costs are rising - and with them the challenges that many industrial companies face today and in the future. But how do you get a grip on them quickly and securely? This is where a digitalization solution such as an IIoT platform, which ensures far-reaching transparency of energy consumption in production, can help. 

An IIoT platform not only makes energy consumption transparent, but also ensures a significant increase in productivity. With the help of a corresponding software solution, multi-layered measures for increasing productivity in the production process can be tracked down, but also the energy consumption of individual production orders can be determined and documented - to reduce energy costs, but also to meet the upcoming obligations of comprehensive CO₂ reporting.

Creating transparency and reducing energy costs

Whoever wants to reduce energy costs in production needs transparency. The crucial question is: Where and when is what amount of energy consumed in the production process? This is precisely where an IIoT platform comes in. As a digitization solution, it ensures transparency in production by collecting and interpreting individual machine and operating data as well as energy consumption in real time and making it evaluable - and it can be visualized on any end device. This creates full transparency with regard to the productivity of machines or processes (e.g., OEE key figures), but also with regard to the energy consumption of manufacturing.

Planning in advance with IIoT platform as MES

For example, the power consumption of machines or consumers can be read, processed and displayed via corresponding interfaces such as Modbus TCP. This makes it possible to detect consumption peaks and identify potential savings, among other things. In addition, an IIoT platform can match production data from the ERP system with power consumption - and thus assign the amount of energy used to each production order. This helps with pricing, but also helps to reliably determine the CO₂ footprint of a product. In addition, an IIoT platform as an MES makes it possible to identify and plan the operating times of machines in advance based on the evaluation of previously defined machine occupancy schedules: This allows informed decisions to be made based on when machines are in use and when they are not, or whether efficiency gains can be achieved by adjusting production speeds.