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Advanced Building Simulation

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(a)<br />

(b)<br />

zone 6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

3<br />

1 Pre-heating/cooling<br />

2 Re-heating/cooling<br />

3 Cooled ceiling<br />

S<br />

Outside<br />

2 1<br />

S = sensor air temperature<br />

Integrated building airflow simulation 89<br />

Zone 1<br />

Outside<br />

2 1<br />

Figure 4.2 Glasgow’s Peoples Palace museum with corresponding simplified airflow model based on<br />

rules of thumb; numbers indicate average air change rate per hour (Hensen 1994). (See<br />

Plate I.)<br />

In these types of approaches airflow is modeled conceptually. Based on rules of<br />

thumb, engineering values and/or empirical relationships as exemplified earlier, it is<br />

up to the user to define direction and magnitude of airflows. A typical application<br />

example is shown in Figure 4.2.<br />

In everyday building performance simulation, it is these types of approach that are<br />

most commonly used. The main reasons are that they are easy to set up, they are readily<br />

understood because they originate from “traditional” engineering practice, and<br />

they can easily be integrated with thermal network solvers in building performance<br />

simulation software.<br />

4.1.2 Zonal models<br />

In a zonal method, the building and systems are treated as a collection of nodes<br />

representing rooms, parts of rooms and system components, with internodal connections<br />

representing the distributed flow paths associated with cracks, doors, ducts, and<br />

the like. The assumption is made that there is a simple, nonlinear relationship between<br />

S

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