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Fig. 5.16 Real results using strategy (B)
On the one hand, although there exists an influence by the number of people
inside the room to control the thermal comfort, all the strategies are able to maintain
a thermal comfort situation, as shown in Figs. 5.15 - 5.19 (obtaining a greater or a
smaller energy saving and without any feed-forward mechanism which allows us to
explicitly cope with people's influence). On the other hand, if the results shown in
Table 5.3 for each of them are compared, it can be observed that although minimum
use of the actuator is related to strategy (A) and the weighting coefficient equals
0
3, the value of index 1 is too high compared to other strategies. Therefore, after
an exhaustive analysis of both, the real results and the simulated ones, strategies (C)
with a weighting coefficient equals 0
.
.
00355 has been selected as the best one even
in spite of the control problems pointed out previously. The main reasons for this
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