Have AI control heating and ventilation by occupancy
Companies reduce the energy consumption of their buildings with AI-controlled heating and ventilation
Fits: Production, engineering & maintenance
Buildings are only heated and ventilated when people are in them, and the system learns pre-heating times and the influence of the weather by itself. Energy consumption falls without offices or halls becoming uncomfortable.
Is this for you?
- Your buildings have a building management system or at least digital meters and room sensors whose values can be exported.
- Occupancy times are irregular, for example due to working from home, shift work or event rooms, yet the system still runs on a fixed schedule.
- There is someone in building services or facility management who is responsible for changes to the controls.
Export one winter week of hourly values from the heat meter or gas meter of a building and add the actual occupancy times. Use the template below to calculate how much heat is used outside occupancy times. This shows you whether occupancy-based control is worthwhile.
How to go about it
- Set the savings goal and comfort limits
- Record consumption, room values and occupancy
- Have a heating and ventilation schedule proposed
- Test in one part of the building and fine-tune
- Switch over and inform occupants
- Analyse consumption and complaints regularly
Templates to copy
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
With the training you get all 430 guides for as long as your access runs.
Same approach, other use cases
27 more use cases follow the pattern “Planning assignments & processes”.
A-099 · Legal status 08.10.2026