Advanced Building Simulation

168 Mahdavi
Exterior light redirection louvers
EL1
E E1 1
•
t t1 1
Local hot
water valve
Electric EL3
light
EL5
EL2
Space 1
Figure 7.6 Schematic floor plan of the test spaces.
DC
EL1
DC
EL2
DC
EL3
E 1
DC
EL4
DC
Va1
EL4 EL6
DC
Lo1
Workstation
surface
Space 2
controlled by a DC-EL. Similarly, both the local valve state and the louver state
influence the temperature in Space-1 (t 1). Analogous assumptions apply to Space-2.
Once the control zones (controlled entities) have been defined, the generation rules
can be applied to the control problem as illustrated in Figure 7.7, resulting in the representation
of Figure 7.8. A summary of the application of rules 1, 2, and 3 in this case
is shown in Table 7.2. As to the application of rule 1, four nodes, namely DC-EL1,
EL2, EL3, and EL4 are of the same device type and all impact sensor E 1. Thus, an
MC is needed to coordinate their action: MC-EL_1. Similarly, regarding the application
of rule 2, both DC-Lo1 and DC-Va1 impact the temperature of Space-1. Thus,
MC-Lo_Va_1 is needed to coordinate their action. As to rule 3, four MC nodes control
the DC-Lo1 node. Thus, their actions must be coordinated by an MC of second
order, namely MC-II EL_Lo_Va_1.
In the above example, rules 1, 2, and 3 were applied to the control problem to construct
the representation. Using this methodology, a scheme of distributed, hierarchical
control nodes can be constructed. In certain cases, however, the control problem
contains characteristics that cause the model not to converge toward a single top-level
controller. In these cases, rules 4 and 5 can be applied to ensure convergence. Rule 4
is used to ensure that model functionality is not duplicated. Thereby, the means of
detecting a duplicated node lies in the node name. Since the application of rule 4 may
DC
Va2
DC
EL5
DC
EL6
E E2 2
•
t t2 2
DC
EL7
Figure 7.7 Association between sensors and devices (cp. text and Figure 7.6).
t 1
t 2
E 2
DC
EL8
EL7
EL8