From the hot outdoor air to a perfectly conditioned room — HVAC is the biggest energy consumer in a hotel. Stromfee introduces AI across the complete climate chain and cuts up to 40% of climate cost. Proven on a real European reference site; presented anonymously.
From avoiding heat load to guest comfort — each step with the typical problems and what the AI does about them.
Reduce sun, outdoor temperature and thermal bridges first. Prevention is the best cooling.
Chillers, cooling towers, cold storage — the biggest single climate load.
Air-handling units, ducts, fans — moving conditioned air to where it is needed.
Fan-coil units, thermostats, zoning — the last metre to the guest.
Measure satisfaction, prevent complaints — comfort is a revenue lever, not just a cost.
Two anonymized archetypes based on real European alpine hotels. Figures are the European reference; identities generalized.
The AI spots wear patterns: "heat-pump unit 3 shows a 15% performance drop — service within 72h" → no outages, plannable cost.
The AI reads the booking system: "Saturday 95% full, Monday only 40%" → HVAC capacity adapts 24h ahead.
The AI combines weather + power prices + occupancy: "this week's HVAC cost: ~€2,340" → budget predictability.
The AI detects: "room 205 will hit 28 °C tomorrow (sun side)" → pre-cooling starts automatically at 6 a.m.
The AI detects a foehn weather situation → heating stops automatically → use the natural +10 °C warming.
The AI pre-activates entrance heating and corridor underfloor heating ahead of snowfall.
Check-in 3–5 p.m. = rooms already at 21 °C, ski-boot dryers active.
Summer guests = minimal heating, night ventilation, energy-saving profiles.
Modes are examples; the AI adapts to the local climate zone — the method transfers, the setpoints follow the site.
What happens without intelligent climate control.
All 120 rooms at 21 °C — including the 40 empty ones · foehn day: heating runs although it's 15 °C outside · ski guests arrive to cold rooms · no maintenance lookahead = heating failure in January. → 40% of heating cost avoidable.
AC runs although the mountain air is 16 °C · sun-side rooms overheat (no lookahead) · hikers get ski temperature profiles · 200+ free-cooling days unused. → cooling while nature cools for free.
No cost lookahead = budget surprises · no occupancy lookahead = energy for empty rooms · no maintenance lookahead = costly emergency repairs · no weather lookahead = wrong settings. → reactive instead of proactive = expensive.
HVAC in a pool building is where this AI proves itself register by register. Explore the deep-dive wizards:
Air handling → · Heat recovery → · Heat-pump cascade → · All 40 wizards → · Pool & Spa Chain →
Usually not: energy, meter and plant data are generally not personal data (GDPR Art. 4(1)) as long as they allow no inference about individuals. Personal reference arises only with video of people, visitor counting or guest/staff data — which we strictly separate from the energy system.
For pure energy/plant AI without personal reference, usually not (GDPR Art. 35) — a negative attestation is documented. For video or visitor analysis of public areas, a DPIA is usually required.
An AI on site keeps the operating data inside the building: this supports data protection by design (Art. 25), security (Art. 32) and greatly reduces third-country transfers (Art. 44 ff.). The operator always remains the controller.
No — the AI works with outdoor-air, supply-air and heat-recovery values. Room occupancy, if used at all, is only aggregated; individuals are not recorded.
Stromfee licenses the HVAC control, connectivity and monitoring AI — proven in Europe, deployed on your existing plant. Single property, portfolio or chain.
Request software license →