User Manual

13
4 Energy savings
The following comparison between predictive heating control and two reference
controls is based on annual simulations. The controls are set similarly in all cases.
The results apply to the case at hand using the key data. The simulated building
has a fairly high heat demand due to relatively poor heat insulation and low
assumed heat gains.
Key data for the simulated office building
Building
– Swiss average with regard to heat insulation
– U-value for building shell is 1.5 W/m
2
K
– Portion allotted to windows 20%
Location
– Zurich, data measured for 2007
Heat gains
– Low (0 to 30 W/m
2
, peak value at high solar radiation), office (open floor-plan
office)
Comfort requirements
– Room temperature setpoint: Comfort = 21 °C
Economy = 15 °C
– Room operating mode: Comfort, Monday through Friday from 8 am to 7 pm
Economy, for all other times
Key data for the control strategy
Predictive heating control
– The simulation uses the Desigo predictive heating controller's algorithm for
calculation. Room temperature measurement is used.
Reference heating control
The heating controller is set well using the following elements:
– Heating limit switch (heating limit for Comfort = 16.5 °C)
– Heating curve
– Setback mode via scheduler program.