Example finding

What an energy finding looks like

Follow one finding from the meter data to the change on site: what the pattern shows, how the cause is checked and what the record contains.

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1 · The observation

A store that never switches off

One week of electricity use at a single store, compared with the kWIQly model of what the store should use.

Store 14 · main electricity meter · one weekIllustrative data, not a customer case study
  • Measured load
  • Expected load (model)
  • Above the model while closed

Swipe to see the whole week →

Store 14 · main electricity meter · one weekLine chart of one week of hourly electricity load for a store open Monday to Saturday, 08:00 to 20:00. During opening hours measured load follows the model at 34 to 40 kW. Outside opening hours the model expects 6 kW, but measured load stays around 15 kW every night and all day Sunday.01020304050kWMonTueWedThuFriSatSun

  1. The store closes at 20:00. The model expects load to fall to about 6 kW for refrigeration and security lighting.

  2. Measured load stays near 15 kW all night. The same happens every night of the week.

  3. On Sunday the store is closed all day and the load is the same, so late trading does not explain it.

2 · The check

  1. 01

    Rule out the obvious

    • ✓Ask the store manager about night cleaning, deliveries and late trading.
    • ✓None of them explains the load in this example.
  2. 02

    Find the cause

    • ✓Facilities reviews the lighting and air-handling schedules.
    • ✓Both were left running 24/7 after a controller was replaced.
  3. 03

    Make the change

    • ✓The regional facilities team restores the schedule, keeping refrigeration and security lighting on.
    • ✓The date of the change is recorded.

3 · The action record

Location and evidence: Store 14, main electricity meter, four weeks of half-hourly readings. About 15 kW measured while closed, against 6 kW expected.
Validation: no night cleaning or deliveries. Lighting and air-handling schedules found set to 24/7 after a controller replacement.
Responsibility and timing: regional facilities team; schedule corrected within one week and the date logged.
Result: four weeks after the change, measured consumption is compared with the model. The measured saving is reported next to the estimate, never instead of it.
4 · In the platform

The same comparison, for every meter in your portfolio

kWIQly runs this comparison for every meter and ranks the results, so your team starts with the largest, clearest findings.

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kWIQly dashboard with portfolio opportunity comparison, modelled and actual power, and weekly consumption patterns.

01

Identify a pattern worth investigating.

Existing platform view. The figures shown are not a savings forecast for your portfolio.

Find your next opportunities to save

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