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Advanced Building Simulation

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208 Augenbroe<br />

Figure 8.14 Workflow Modeling Window for analysis scenarios.<br />

Many other useful “in-house” applications could be easily integrated in the workflow<br />

definition. For instance, keeping track of simulation results across the life cycle<br />

of a building with a tool like Metracker (Hitchcock et al. 1999) could be integrated<br />

into the DAI workbench.<br />

8.3.4 The analysis function concept<br />

Analysis functions are the key to the connection of the scenario layer with the building<br />

simulation model on one hand and the software application on the other. They allow<br />

the expert to specify exactly what needs to be analyzed and what results (captured<br />

as quantified performance indicators) need to be conveyed. To do so analysis functions<br />

need to capture the smallest analysis tasks that routinely occur in analysis scenarios.<br />

Each analysis function (AF) must identify a well-defined (virtual) experiment<br />

on the object, which is defined to reveal building behavior that is relevant to the<br />

performance aspect that is to be analyzed. The analysis function must be defined in<br />

a tool independent way, and formally specified by way of an AF-schema. The<br />

AF-schema defines the data model of the building system that the AF operates on as<br />

well as the experiment and the aggregation of behavioral output data. The analysis<br />

itself is fully embodied in the choice of an analysis function. However, not all AF calls<br />

need to be performed by a software application. For instance, some analysis function<br />

may define the daylighting performance of a window as the result of physical experiment,<br />

for example, by putting a scale model in a daylight chamber. Other analysis<br />

functions may be defined such that the measure is qualitative and subjective, based

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