
In a hotel, energy is one of the largest cost items after staffing, but it is also the one expense that can be reduced without guests noticing, provided you focus on the right areas.
The constraint is clear: a cold room or a lukewarm shower will show up in a review, and a review is worth more than any savings on the energy bill. That is why energy management in hospitality starts with data, not cuts.
A hospitality property's energy consumption is spread across four areas: space heating and cooling, domestic hot water, lighting, and services such as kitchens and laundry.
A useful benchmark: according to industry data cited by QualEnergia, a hotel consumes an average of around 52 kWh per guest-night, while hot water production accounts for approximately one quarter of the property's internal energy consumption.
However, the most interesting finding is different. The same analysis recorded monthly energy costs of over €1,500 even in the low season for a 22-room hotel in northern Italy, compared with around €5,000 during the winter months. In other words, a significant share of expenditure does not depend on guests, but on how the property operates when it is half empty.
None of these issues requires an investment to fix. However, they must first be identified, and that requires measurement.
This is the main difference compared with an office. In a hotel, you cannot raise summer temperature setpoints by two degrees to save energy: the cost is transferred to your reputation.
The effective approach is the opposite: measure energy consumption alongside indoor conditions (temperature, humidity, and air quality), so every measure can be assessed on both fronts.
If a control adjustment reduces consumption while keeping room conditions unchanged, it is a good adjustment. If it compromises comfort, reverse it before a guest notices.
| What | Why | Useful indicator |
|---|---|---|
| Energy per occupied room | Makes periods with different occupancy levels comparable | kWh per occupied room per night |
| Overnight baseload consumption | Shows how much the property consumes regardless of guests | Average kW during periods of minimum activity |
| Domestic hot water | It is the largest item and the one most closely linked to occupancy | Thermal energy for domestic hot-water production, water consumption per room |
| Water | Losses in a property operating 24 hours a day are noticed late | Minimum overnight flow, see water monitoring in hotels |
| Comfort in guest rooms and common areas | Checks that energy savings do not worsen the guest experience | Temperature, humidity, and CO2 in common areas |
The required instrumentation is described in the guide to smart meters and IoT sensors: submeters on the main utilities, environmental sensors in sample rooms and common areas, and water meters on the relevant circuits.
Ranked by the balance between results and investment:
According to the industry analysis cited above, individual measures deliver savings of around 12.5%, while combining several measures can bring savings to approximately 22%.
Student residences share the same consumption structure as hotels (rooms, domestic hot water, and common areas), but two differences change the approach.
First, occupancy is much more stable and predictable: planning is based on academic periods rather than sold nights, making time-based control easier to configure.
Second, the people consuming the energy do not pay the bill. Open windows while the heating is on, lights left on in common areas, and long showers have no direct financial deterrent.
Here, the solution is not just technical: submetering by floor or block helps identify unusual consumption, and in some cases sharing the data with occupants can itself change behaviour.
The same indicators otherwise apply: consumption per occupied bed, overnight baseload, and domestic hot water.
Hotels rarely have a BMS: the cost of a traditional wired system does not pay off in medium-sized properties. This is exactly the context in which UTwin's energy management software operates. The underlying principle—measure before intervening—applies to any building and is described in the energy management guide.
The platform provides smart meters and IoT sensors for energy, water, gas, temperature, humidity, and CO2, collects the data in the cloud, and displays it on the property's floor plan.
The integrated AI remotely adjusts building systems based on outdoor weather and space occupancy, while the integrated maintenance software turns an anomaly into a task assigned to a technician before it becomes a service issue for a guest.
Where a BMS already exists, the platform integrates with it and enhances its automation. Where there is none, it works as a light BMS, with CAPEX up to 70% lower than traditional systems. Hotels and hospitality properties are among the building types where this gap is greatest.
It depends on the property and its starting point. Industry data indicates savings of around 12.5% from individual measures and close to 22% when several measures are combined. A reliable estimate for a specific property requires measuring current consumption for at least one season.
By measuring energy and indoor conditions together. Focus on things guests do not notice (unoccupied rooms, service areas, system schedules, and hot-water recirculation) and use sensors to verify that temperature, humidity, and air quality remain unchanged wherever people are present.
Energy consumption per occupied room, which makes it possible to compare periods with different occupancy levels. Alongside this, overnight baseload shows how much the property consumes regardless of its guests.
A traditional BMS rarely pays for itself in a medium-sized property. Cloud-based solutions with wireless sensors provide the same essential functions—monitoring and remote control—with a much lower initial investment.
The first figure to examine in a hotel is energy consumption on nights with low occupancy. If a half-empty property consumes almost as much as a full one, that is where the savings potential lies, and it can be recovered through scheduling and control adjustments before making any investment.
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