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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