We have validated our algorithms in a range of different buildings - with convincing results!

Find out about our reference cases below!

Light commercial

Administration building Empa

Building type

Light commercial building with 2000 m2 of office space. Built in the 1960s with a facade renovation in 2009. Heating rate with thermostatic control is 62.5 kWh/m2/a.

Heating system

Central heating system connected to campus district heating grid. Distribution via 150 radiators.

viboo integration

Replacement of thermostatic valves with Danfoss Ally smart thermostats. Connection to viboo PCaaS via Danfoss Partner API (Rest API).

Results

23% energy consumption reduction while improving the thermal comfort (evaluated with occupant surveys).

14.4
kWh/m2/a

heating energy saved. Total savings for the building: 28.8 MWh/a.

3.3
kg/m2/a

CO2 emissions mitigated (with gas heating). Total savings for the building: 6.5 t/a.

1.7
CHF/m2/a

heating costs saved. Total savings for the building:  3450 CHF (at gas price of 0.12 CHF/kWh).

Residential

UMAR apartment

Building type

Modern apartment with two bedrooms and total area of 122 m2, built in 2018. Heating rate with thermostatic control is 27.9 kWh/m2/a, cooling rate is 36.4 kWh/m2/a.

Heating and cooling system

Water based with ceiling panels, connected to buildings’ central heating and cooling system.

viboo integration

Connection to room temperature sensors and distribution valves via REST API to building communication system (OPC-UA).

Results

30% heating energy and 41% of cooling energy consumption reduction while improving the thermal comfort (evaluated with comfort bound violations).

14.8
kWh/m2/a

cooling energy saved. Total savings for the apartment: 1.8 MWh/a.

8.4
kWh/m2/a

heating energy saved. Total savings for the apartment: 1.0 MWh/a.

1.8
kg/m2/a

CO2 emissions mitigated (with heat pump). Total savings for the building: 222.3 kg/a.

1.3
CHF/m2/a

heating costs saved. Total savings for the apartment:  155.6 CHF (at electricity price of 0.21CHF/kWh).

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If you want to find out more about self-learning predictive control, or if you are interested in integrating viboo.cloud in your product portfolio, just leave your email address and we will get in touch!