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Advanced Building Simulation

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104 Hensen<br />

Air flow (kg/s)<br />

25.0<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

0.0<br />

–5.0<br />

–10.0<br />

Upward air flow through atrium<br />

Onion 1/h<br />

Onion 10/h<br />

Ping-pong 1/h<br />

Ping-pong 10/h<br />

240.0<br />

241.0<br />

242.0<br />

243.0<br />

244.0<br />

Day of the year<br />

245.0<br />

246.0<br />

10.0<br />

244.5 245.0 245.5<br />

–10.0<br />

245.0 245.5<br />

Day of the year<br />

246.0<br />

Figure 4.11 <strong>Simulation</strong> results for vertical airflow through atrium starting with day 241 and ending<br />

with day 246 of a reference year. Frames on the right show selected results in more detail.<br />

Flow rate in kg/s.<br />

It is interesting to compare Figure 4.12 with Figure 4.11, because it shows that the<br />

flow increases with the difference between zonal and ambient temperatures and not<br />

with zonal temperature itself.<br />

Obviously, the temperature difference depends on the amount of airflow, while the<br />

amount of airflow depends on temperature difference. As is clearly shown in the<br />

graphs, it takes an integrated approach to predict the net result.<br />

Table 4.3 shows a statistical summary of the results. Included are the numbers of<br />

hours above certain temperature levels, since such parameters are used in certain<br />

countries to assess summer overheating. For the ground floor air temperatures there<br />

are relative big differences in hours �27�C between the once per hour and the 10 per<br />

hour time step cases. This is because the maximum air temperature for that zone is<br />

close to 27�C and so the number of hours above 27�C is very sensitive.<br />

This case study focuses on the relative comparison of methodologies to model<br />

coupled heat and airflow in a building. Although no mathematical proof is presented,<br />

16.0<br />

15.0<br />

14.0<br />

13.0<br />

12.0<br />

11.0<br />

10.0<br />

5.0<br />

0.0<br />

–5.0

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