Comparison, Classic / Adaptive Heating Curve; Comparison Of Heat-Up Factor Classic / Adaptive Heating Curve - Bosch Src 100 Rf Installations- Und Bedienungsanleitung

6.4.1

Comparison, classic / adaptive heating curve

A classic heating curve should not be set too low in relation to the flow
temperatures, but also not too high.
• If the heating curve is set too low, the desired room temperatures
may not be achieved.
• A heating curve that is set too high can lead to inefficient operation of
the heat generator (especially with heat pumps) and therefore to
higher operating costs.
The heating curve should therefore always be determined as accurately
as possible. In new buildings, the data required for the calculation is
usually available. There are often discrepancies between the planning
and the actual design. In existing buildings, there is frequently no data
from the construction phase. Here, it is often necessary to rely on
estimates or guide values ( Fig. 19).
This shows that there is basically inevitably a deviation between the set
heating curve and the required heart curve. In practice, the tendency is
to set the heating curve slightly higher than the actual demand.
The adaptive heating curve automatically determines the flow
temperature required for the respective building according to demand,
with the aim of operating the heat generator with the best possible
efficiency. The adaptive heating curve is based on real measurement
data as well as set values (e.g. set room temperature) and thus considers
the actual structural design and user behaviour (desired set room
temperatures).
Because in practice the heating curve is frequently set slightly higher
than actually required, the adaptive heating curve often allows the
system to be operated with lower flow temperatures compared to the
classic heating curve.
ϑ / °C
VL
50
45
40
35
30
25
20
+20 +10
0010047183-001
Fig. 19 Heating curve required/estimated (simplified)
Flow temperature
ϑ
VL
Outdoor temperature
ϑ
A
[1] Heating curve based on estimated values
[2] Heating curve real required
SRC 100 RF – 6721856014 (2024/11)
1
2
0 –10 –20
/ °C
ϑ
A
6.4.2 Comparison of heat-up factor classic / adaptive heating
curve
A classic heating curve must be set so that the flow temperature is
sufficiently high. On the one hand, high enough for the rooms to maintain
the current room temperature and, on the other hand, high enough so
that the rooms can be heated from 18 °C to 20 °C, for example ([3] in
Fig. 20).
At an outside temperature of 0 °C, a flow temperature of 35 °C would be
sufficient to keep the rooms at a temperature of 20 °C. Due to the heat-
up factor, however, 40 °C is set instead of 35 °C, for example ([1] in
Fig. 20).
The adaptive heating curve has learnt the respective heat energy
demand and can react accordingly. As with the classic heating curve, the
system would work with comparable temperatures (40 °C) after the
setback mode. Once the set room temperatures (20 °C) are reached, the
flow temperature is reduced to 35 °C ([2] in Fig. 20).
Compared to the classic heating curve, the adaptive heating curve in this
example would work for many hours with a flow temperature that is 5 K
lower.
ϑ ,ϑ / °C
R VL
45
40
35
30
25
3
20
15
0:00 6:00
0010047185-001
Fig. 20 Comparison of the influence of the heating factor (simplified)
Flow temperature
ϑ
VL
Room temperature
ϑ
R
t Time
[1] Flow temperature heating curve including heating factor at
constant 0 °C outdoor temperature
[2] Adaptive heating curve at 0 °C outdoor temperature (simplified)
[3] End of setback mode
[4] Set room temp.
[5] Measured room temperature
Detailed functional description
1
2
5
4
12:00 24:00
18:00
t / h
65