Case Studies — Measured Electrical Data

What hotels discover when they actually measure

Every finding on this page is based on monitored electrical data — not estimates, not assumptions, not modelling.

Case Study 01 — Large Operational Hotel

£27,000–£32,000 in avoidable annual cost.
The hotel had already invested in energy efficiency.

Modern systems. Energy-efficient lighting. Installed technologies designed to reduce consumption. On paper, everything looked right.


The property was a large modern hotel — twelve residential floors, full food and beverage operation, meeting rooms, and basement plant rooms. It had undergone previous energy assessments. Data had been collected. Graphs had been produced. Nothing significant had been flagged.

When Stop Wasting Power connected monitoring equipment to the main incoming supply and selected distribution boards, a different picture emerged immediately.

"In excess of 50% of the hotel's electricity consumption was associated with plant systems operating continuously — not in response to demand, but regardless of it."

The monitoring data captured load profiles across a full 24-hour cycle, including overnight periods when the building was largely at rest. What it showed was a consistent, flat electrical draw from the plant room — unchanged whether the hotel was full of guests at dinner service or silent at 3am.

The boiler house alone was running at an estimated £95,000 per year in electrical consumption. The cost to address the primary cause — a controls engineer reviewing and resetting variable speed drive settings — was £4,000 to £5,000. Payback: three to four months.

● Boiler House — Continuous Load 12pm 12am 12pm

Load remains constant across the full 24-hour period. No reduction overnight. No response to demand.

● Bedroom Block — Demand Led 12pm 12am 12pm

Load falls significantly overnight when guests are inactive. Systems responding correctly to actual demand.

The bedroom block demonstrates that demand-led operation works in this building. The plant room, drawing the same load at 3am as at 3pm, had simply never been configured to respond the same way. The variable speed drives were fitted — the infrastructure for efficiency already existed. The settings were wrong, or the drives had been bypassed.

The building had the means to reduce its overnight load. No one had told it to.

Measured Findings — Identified Annual Waste by Area
Plant Room Systems Continuous operation / poor VSD control £13,000–£15,000   3–4 month payback
Staff Area Lighting 80 fluorescent fittings running 24/7 ~£12,000   8–10 month payback
Public Area Lighting No daylight sensing or timer control £2,000–£5,000   <12 month payback
Guest Rooms Occupancy controls performing correctly No action required
Total Identified Annual Waste £27,000–£32,000
What made this possible

This hotel had already undergone conventional energy assessment. Equipment had been checked. Bills had been reviewed. Nothing significant had been identified.

The difference here was time-based electrical monitoring at distribution board level — capturing not what equipment was installed, but how it actually behaved across a full operational cycle. The waste was always there. It had simply never been measured at the right point, over the right period.

Further Findings — Multiple Properties

The same pattern. Different buildings.

Across every property monitored, the same characteristic emerged: energy consumption that bears no relationship to what the building is actually doing.

These are not buildings that have been neglected. In several cases, energy-saving equipment had already been installed. In others, energy surveys had already been completed. In every case, the way the building actually behaved over time had not been fully examined.

Apartment-Style Hotel — London

Consistent load. No variation. Day or night.

Electrical monitoring showed almost identical load profiles across all floors regardless of time of day. Guest occupancy had no measurable effect on energy consumption.

Systems were operating continuously and independently of actual demand. No effective occupancy-based control was in place despite modern building infrastructure.

Finding: Significant base load running 24 hours across all monitored circuits. Overnight consumption indistinguishable from peak operational periods.
City Centre Hotel

Climate systems running in empty rooms.

HVAC continued operating across unoccupied floors with no link between room status and system output. Key card controls were present but not connected to HVAC operation.

The result was climate conditioning of empty rooms throughout the night — a measurable and entirely avoidable cost running across every unoccupied period.

Finding: No effective link between occupancy and energy use. Climate systems consuming full load across unoccupied floors during low-demand periods.
Hotel with Voltage Optimisation Installed

The equipment worked. The consumption didn't fall.

Voltage optimisation had been installed and was performing correctly — voltage successfully stabilised within the target range. By conventional assessment, this would be considered a success.

Electrical monitoring told a different story. Overall energy consumption had not fallen meaningfully. In some circuits, current had increased to compensate for the reduced voltage.

Finding: Voltage reduction achieved. No corresponding reduction in energy consumption. Base load behaviour unchanged. Underlying waste unaddressed.

"In every case, the data was already there — on bills, on BMS screens, on metering equipment. What was missing was the interpretation. Nobody had looked at how the building behaved over time and asked whether that behaviour made any sense."

The Core Issue

Without the right data, energy management is guesswork.

There is a version of this conversation that takes place in hotels every day. Energy bills arrive. Someone notes they are high. A decision is made — LED upgrades, perhaps, or a review of kitchen equipment — and the bill comes down a little. The problem is considered addressed.

What almost never happens is measurement of the building itself. Not of the bill — every hotel tracks that — but of the electrical behaviour of individual systems, circuits, and areas, across both operational and non-operational hours.

Without that data, it is impossible to know whether it is the plant room or the lighting that is the primary cost. It is impossible to know whether the overnight base load is reasonable or significant. It is impossible to prioritise, because the picture is incomplete.

What logged data changes

Monitored electrical data shows not just how much energy a building is consuming — but where, and when, and whether that consumption makes any sense given what the building is actually doing at that moment.

It identifies which systems to tackle first. It quantifies the financial impact before any work is commissioned. And it provides a baseline against which any subsequent improvement can be measured.

That is the difference between managing a cost and understanding one.

The findings across these properties are not the result of poor facilities management or inadequate investment. They are the result of operating without sufficiently granular data. Once the data exists, the decisions become straightforward. Without it, even well-run hotels are working from incomplete information.

What is your building doing at 2am — and what is it costing you?

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