In most industrial plants, the energy bill represents between 15% and 30% of operating costs. It is the third largest expense after materials and personnel, and it is one of the few costs where technology can generate significant reductions in weeks, not years.

The problem with measuring only via the invoice

Many companies only know their monthly energy consumption when the bill arrives. That data has almost zero operational value: it tells you how much you consumed last month, but not when, where, or why.

To optimize consumption, you need granularity. You need to know:

• Which machine consumes the most during the night shift when it is supposed to be on standby?
• When do the demand peaks occur that trigger the contracted power capacity charges?
• Is the furnace on line 3 maintaining the thermal efficiency it should, or is it consuming 12% more than normal because the heating element is degrading?

Without granular measurement, these questions have no answer.

How energy monitoring works with IIoT

Smart energy meters (meters with Modbus TCP or M-Bus output) are installed in the electrical panels of each relevant zone, line, or machine. They measure active, reactive, and apparent power, voltage, current, and power factor in real time.

This data reaches the cloud platform via the IIoT gateway, where it is stored with the corresponding timestamp and can be visualized with the granularity you need: by minute, hour, shift, or day.

The three most immediate benefits

1. Elimination of phantom consumption

Standby consumption of machines that are not producing is one of the most frequent and invisible energy wastes. With granular monitoring, it is easy to identify which equipment is consuming outside of its production hours and establish automated shutdown procedures.

2. Management of contracted power

The power capacity contracted with the utility provider is paid for even if it is not used. And if it is exceeded, the penalties are significant. With real-time dashboards, you can see when a demand peak is approaching and manage the staggered startup of heavy loads to avoid exceeding the contracted maximum.

3. Detection of efficiency anomalies

A compressor with a small leak in the pneumatic circuit consumes between 10% and 20% more energy than one in good condition. A motor with worn bearings does the same. These signs are detected much earlier in the electrical consumption curve than during a physical inspection.

How much can be saved?

Well-executed industrial energy monitoring projects generate consumption reductions of 10-25% in the first year. Added to this is the possibility of renegotiating the contracted power if the data proves that the actual peak demand is lower than what was contracted.

For a plant with an electricity bill of €200,000/year, a 15% saving represents €30,000 annually. The cost of the monitoring solution is typically amortized within 4-8 months.

The first step: measure, don’t act

The most frequent error is wanting to implement control automations before having measured. Measure first. With two or three weeks of granular data, you will have a very clear picture of where the real savings opportunities are, and you will be able to make decisions based on facts, not intuition.

How much extra are you paying for energy? Find out with our PoC →