Factory energy management
The whole plant’s energy flow is brought into one view,
cutting waste and emissions together
Why it matters
A plant runs on electricity, gas, steam and water at once. That consumption is recorded per department,
per machine and per hour, scattered enough that where it goes, how much, and why are never visible at a glance.
Without the whole flow you cannot say where to cut, and savings stay a guess.
Aggregating figures for ESG reporting turns into manual work, every time.
The data and signals we read
Where the waste hidesHow Refinery solves it
Unified metering
Electricity, gas, steam and water alongside per-asset consumption are brought into one structure, so the plant’s energy flow sits on a single screen.
Energy intensity analysis
Energy intensity, meaning energy used against output, is compared to find the periods and areas that spend more for the same work.
Peak and load management
The moments when machines cluster and create a peak are identified, the load is spread, and contract demand and demand charges come down.
Automatic ESG aggregation
Consumption and emissions are aggregated with their sources, so reports are produced without manual work and the figures stay traceable.
Start quickly from an energy management system template
A new site does not have to design the structure from scratch. The energy management system (EnMS) template, refined across sites over 30 years, already includes the metering structure, intensity KPIs, ESG report formats, and anomaly and peak alert rules. Adjust it to your own assets and targets and you can begin operating on a proven structure right away.
- Metering structure by energy source and asset
- Energy intensity KPIs · dashboard
- ESG report formats
- Abnormal consumption and peak alert rules
Related use cases
Early signs of motor failure are read with wireless vibration sensors, cutting stoppages and losses.
Scattered sensors are brought into one structure and anomalies are read together.
When, where and how much you use is identified, cutting power cost and risk.
Power quality anomalies you cannot see are caught in real time, and put on the record.
Hidden waste and power peaks are found, and the same work is done for less.
Signals from the process data are read, and defects are caught before the part is finished.
