Why it matters
An electricity bill shows a total and a few peaks. It does not show which machine drew that power, at what hour,
or why. Metering sits apart from the records, so when the bill rises the answer is usually an order
to use less rather than a cause. Exceed the contracted demand and the peak charge follows for a year.
Data and signals
Where the waste hidesHow Refinery solves it
Make usage visible
Look at power with equipment, area and time of day side by side. Once you can see which machine draws how much and when, consumption that felt vague starts to take shape.
Manage peaks
Find the moments when several machines run at once and create a peak. Staggering start times or splitting the load brings down both contracted demand and peak charges.
Detect abnormal use
Catch consumption that departs from the usual pattern - equipment running when it should be off, or standby draw that crept up unnoticed.
Check power factor and load
A falling power factor or load concentrated on one side affects both cost and equipment life. Those points are flagged with room to improve.
Start from a power management template
If this is the first time you are looking at power closely, it is hard to know what to measure and how to read it. The power management template, built up across many sites, already contains how to structure metering per asset and what thresholds to apply to peaks and power factor. Fill in your own equipment list and contract terms, and you can start looking without designing the structure from scratch.
- Metering structure by asset and area
- Peak and contracted-demand thresholds
- Power factor · load factor dashboard
- Abnormal-use alert rules
Related use cases
Read the early signs of motor failure
and cut unplanned downtime.
Bring scattered sensors into one structure
and read anomalies together.
Catch power quality faults you cannot see,
in real time, on the record.
Bring the whole plant’s energy into one view
and cut waste and emissions together.
Find the hidden waste and the peaks,
and do the same work for less.
Read what the process data is signalling
and catch defects before they finish.
FAQ
What is a power management solution?
Spotting peak demand, abnormal load and falling power factor early reduces both the bill and the risk of an outage.
How does power management differ from an energy management system (EMS)?
Refinery joins power data with EMS · equipment data so the savings it proposes come with evidence.
How does AI help with power management?
Nobody has to watch every metric - it flags the moment with the reasoning attached.
