SCNET · Enterprise IT · Ankara, Türkiye

Sanal Çekirdek

You cannot reduce consumption you do not measure.

Energy management is process visibility, not invoice tracking. Sanal Çekirdek makes consumption visible by line, machine and shift, and any savings claim is verified by measurement.

A drop visible in the site total cannot be repeated if nobody knows which change produced it. Without breakdown, improvement is coincidence.

Measurement points and breakdown

The main meter gives only a total. Meaningful improvement needs lines, machines and utilities measured separately, with measurement points chosen by energy intensity and by how much can actually be changed.

  • Point selection weighs consumption share and actionability
  • Utilities are measured separately, not allocated to production
  • Sampling frequency follows process dynamics
  • Meter accuracy is verified on a regular basis

Data collection and edge processing

Moving raw field data to a central system inflates link cost and latency. Collection, filtering and summarization happen at the edge; only what a decision requires travels onward.

  • Edge summarization lowers link cost and latency
  • Data buffers at the edge when connectivity drops
  • Timestamps are applied at source from one clock
  • Raw data remains retrievable when needed

Anomaly and loss detection

A consumption profile is judged against production volume. Rising consumption for the same output signals equipment out of adjustment, leakage or overdue maintenance. Anomaly is defined against expectation, not against an absolute value.

  • Consumption is assessed relative to production volume
  • Idle consumption is tracked as its own indicator
  • Shift and weekend profiles are compared
  • Anomalies are routed into maintenance work orders

Verifiable savings

The effect of an improvement is measured by bringing before and after onto the same footing. A comparison made without normalizing production volume, outdoor temperature and product mix will mislead.

  • Comparisons use normalized data
  • Before and after windows are of equal length
  • Effect is reported as measurement, not estimate
  • Reporting obligations draw on the same data

How we work

  1. Choose measurement points by consumption share
  2. Set up edge collection and summarization
  3. Establish the expected consumption profile
  4. Route anomalies into maintenance processes
  5. Verify improvements with normalized data

How success is measured

  • Consumption is visible by line and by shift
  • Idle consumption is tracked separately and falling
  • Anomalies turn into work orders
  • Savings claims are backed by normalized measurement

Frequently asked questions

Can our existing meters be used?

In most cases yes. Meters with a communication interface can be connected; additional points are proposed only where the consumption share justifies them.

How quickly does the investment pay back?

That depends on the consumption profile of the site, and no number is offered up front. Measurement comes first, the savings potential becomes visible in the data, and the business case follows from it.

Does this require changes to our production system?

The measurement layer is usually built separately from production control and only reads. If intervention on the control side is needed, that is treated as a separate decision.

To see consumption broken down by line and shift, let's start by choosing the measurement points.

Identify your measurement points