Illustrative scenario
Night setback that never happened
Illustrative scenario — representative of common industrial IoT applications
Energy & electricityBulk Handling & Rail Logistics
The overnight setback had silently stopped working — and it was worth about a third of the load.
A distribution warehouse
How it went.
Every study on this site runs the same four beats, in the same order.
01
Alert
The building automation schedule said the setback was active. The electrical trace said otherwise, every night, for months.
02
Cost
~35% of overnight electrical load — Recovered by restoring a setback schedule that had failed silently.
03
Fix
Current transformers on the main HVAC feeds · Minute-resolution demand trending · Overnight baseline alerting
04
Restored
A schedule that is measured, and alerts when it is not
In full.
Illustrative scenario — representative of common industrial IoT applications.
The problem
The building automation schedule said the setback was active. The electrical trace said otherwise, every night, for months.
What would be installed
- Current transformers on the main HVAC feeds
- Minute-resolution demand trending
- Overnight baseline alerting
What changes
Before — A schedule that was believed to be working After — A schedule that is measured, and alerts when it is not
The number
~35% of overnight electrical load — Recovered by restoring a setback schedule that had failed silently. Illustrative scenario, not a client result. Figure is representative, not measured. [TOM-REVIEW]
In one line
A control system reports what it was told to do. A meter reports what happened.
What the data looked like.
Hover or arrow-key across the trace to read any interval. The flagged point is the one that started the conversation.
| Interval | HVAC feed (kW) |
|---|---|
| 00:00 | 114 |
| 00:30 | 113 |
| 01:00 | 111 |
| 01:30 | 117 |
| 02:00 | 113 |
| 02:30 | 115 |
| 03:00 | 116 |
| 03:30 | 115 |
| 04:00 | 114 |
| 04:30 | 115 |
| 05:00 | 115 |
| 05:30 | 115 |
| 06:00 | 131 |
| 06:30 | 133 |
| 07:00 | 131 |
| 07:30 | 131 |
| 08:00 | 135 |
| 08:30 | 131 |
| 09:00 | 135 |
| 09:30 | 134 |
| 10:00 | 129 |
| 10:30 | 133 |
| 11:00 | 133 |
| 11:30 | 132 |
| 12:00 | 131 |
| 12:30 | 129 |
| 13:00 | 133 |
| 13:30 | 131 |
| 14:00 | 134 |
| 14:30 | 135 |
| 15:00 | 135 |
| 15:30 | 129 |
| 16:00 | 129 |
| 16:30 | 134 |
| 17:00 | 131 |
| 17:30 | 134 |
| 18:00 | 116 |
| 18:30 | 112 |
| 19:00 | 116 |
| 19:30 | 117 |
| 20:00 | 113 |
| 20:30 | 113 |
| 21:00 | 111 |
| 21:30 | 116 |
| 22:00 | 115 |
| 22:30 | 117 |
| 23:00 | 112 |
| 23:30 | 117 |
| Before | A schedule that was believed to be working |
|---|---|
| After | A schedule that is measured, and alerts when it is not |
Illustrative dataset — a representative operational profile, seeded and deterministic, not measured at any site.
What changed.
Before
A schedule that was believed to be working
After
A schedule that is measured, and alerts when it is not
~35%
of overnight electrical load
Recovered by restoring a setback schedule that had failed silently.
Source: Illustrative scenario, not a client result. Figure is representative, not measured. [TOM-REVIEW]
Where to go next.
The sector, the sibling studies, and the calculator that runs this same arithmetic on your own numbers.
Energy & electricityManufacturing — automotive, plastics & rubber
Three plants, one unit of production, one outlier
A three-plant manufacturer
Same product, same equipment — one plant used about 40% more energy per unit.
~40%more energy per unit
Illustrative scenario — representative of common industrial IoT applications
Cooling towersEnergy & electricityFood & Beverage ProcessingControlled Environment Agriculture
Refrigeration condenser fouling detection
A food storage and processing site
Rising head pressure at constant load — a fouled condenser, priced.
Head pressurevs. load
Illustrative scenario — representative of common industrial IoT applications
Find out what’s hiding in your plant.
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