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A First Survey of Subtask 1 Common Exercise 4
A.W.M. (Jos) van Schijndel
Eindhoven University of Technology,
Email: [email protected]
Date: 18 August 2006
Summary
The paper presents a first survey of Subtask 1 Common Exercise 4 (25.07.2006).
For each run A, B & C, we simulated four rooms simultaneously for the whole period
(01/01 – 22/04). The results provide detailed time series for a 'dry' period as well as a
'humid' period. Furthermore, some statistical results are presented. Our preliminary
results indicate that the maximum building's energy consumption reduction is about
6%.
1. Introduction
The intention of this common exercise is to show that an appropriate management of
the indoor moisture reduces building's energy consumption. The possibilities of
combining a ventilation system controlled by relative humidity and moisture buffering
capacity of materials is investigated.
2. Modeling
HAMLab [van Schijndel & de Wit] is used as modeling and simulation tool. For each
run A, B & C, we simulated four rooms simultaneously for the whole period (01.01 –
22.04). Table I shows the ventilation control specifications for A, B & C. The four
rooms are: 1. The reference room with gypsum plaster and paint (Ref), 2. The test
room with aluminum foil (Alu), 3. The test room with gypsum board on walls (Gyps
50) and 4. The test room with gypsum board on walls and ceiling (Gyps 65). Each
room has the same ventilation control strategy.
Table I. The ventilation control specifications for A, B & C
Run
A
B
C
Ventilation Control
Constant ventilation.
Q = 25 m3/h
Linearly interpolated
HR1=25% ,HR2=60% ,Qmin=10 m3/h, Qmax=40 m3/h
Linearly interpolated as B with only HR1 adapted
HR1=40% ,HR2=60% ,Qmin=10 m3/h, Qmax=40 m3/h
As starting point we used the same model as already presented in several papers on
CE3. This model provided discrete (hourly) based values. Because our aim was to use
SimuLink for the modeling of the ventilation control, the discrete model was exported
to a continuous model suitable for SimuLink ('Run A' model). The standard library of
SimuLink was used for modeling of the ventilation control of 'Run B' and 'Run C'.
The next figure provides on overview the 'Run C' model in SimuLink.
5
4
3
1
2
Figure 1. The 'Run C' model in SimuLink. With: (1)the HamBase Simulink model of
four rooms, (2) the ventilation moisture 'source', (3) the airflow control, (4) the
ventilation heat 'source' (5) the heating control.
3. Results
We compared the results for the rooms with the lowest and highest moisture buffering
material in it, i.e. the test room with aluminum foil (Alu) and the test room with
gypsum board on walls and ceiling (Gyps 65) for the three runs A, B & C. We
selected a 'humid' period, day of year 80-87 (21-28 March) and a 'dry' period, day of
year 58-65 (27 February – 6 March) out of the requested simulation period. Figures 2
& 3 provide the airflow, Rh and heating during the humid period (figure 2) and dry
period (figure 3).
Furthermore, the following statistics were obtained for the whole period (01.0122.04): The mean Rh, standard deviation of Rh, mean heating and standard deviation
of heating of the four rooms and three runs. These results are presented in figure 4 and
5.
Figure 2. The airflow, Rh and heating during the humid period (please note that this
figure relies on color).
Figure 3. The airflow, Rh and heating during the dry period (please note that this
figure relies on color).
Figure 4. The mean Rh and standard deviation of Rh of the four rooms and three
runs (A (1), B (2) &C (3)).
max 438
min 412
Figure 5. The mean heating and standard deviation of heating of the four rooms and
three runs (A (1), B (2) &C (3)).
4. Discussion
The influence of both the moisture buffering material amount present in the rooms
and the ventilation control strategy on the Rh fluctuations is clear. However, it seems
that there is a relative small influence of these parameters on the mean heating, which
is directly related to the total energy consumption. Our preliminary results indicate
that the maximum building's energy consumption reduction is about 6%.
Reference
van Schijndel, A.W.M. & de Wit, M.H. Annex 41 papers A41-T1-NL-all
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