Civil Engineering Reference
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Fig. 5.38 Real results obtained for a characteristic room of CDdI-CIESOL-ARFRISOL building.
Comfort indices
controller. In addition, the fourth graph represents the Pulse Width Modulation
(PWM) signal for the fancoil velocity. Finally, in the fifth graph, the aperture of
the window, A dr window , can be observed.
Figure 5.40 displays the dynamic evolution of the main variables which influence
users' comfort. This figure can be split into four parts: the first graph shows the
impulse air temperature setpoint provided by the PNMPC optimiser and its real
value measured in the room, T a imp . In the second one indoor and outdoor air
temperatures, T a in and T a out , respectively. The third graph displays the evolution
of indoor and double ceil CO 2 concentrations, CO 2 in and CO 2 dc . Finally, in the
fourth graph the number of people inside the room, N p , can be observed.
As shown in the first and second graphs of Fig. 5.38 , with the proposed strategy
both PMV and IAQ indices values are inside an acceptable comfort zone, since they
are almost equal to zero through the whole test. In addition, as can be observed in
the first and third graphs of Fig. 5.39 , in a first attempt, the PNMPC control approach
tries to control thermal comfort and indoor air quality using natural ventilation,
since both the outdoor air temperature and the outdoor CO 2 concentration are lower
than the values registered inside the room. After that, as optimal comfort conditions
could not be reached using only natural ventilation, the HVAC system is also used.
Moreover, according to the defined energy efficiency restrictions through the split-
range controller, fancoil velocity increases faster than water flow through it, see first
graph of Fig. 5.39 . Afterward, at around 11 a.m., both PMV and IAQ indices are
almost equal to zero, and the control system decides to close the window instead
of turning off the HVAC system, which is more efficient in energy terms, since the
outdoor temperature is almost equal to the indoor air temperature, see the second
graph of Fig. 5.40 . From this instant until 12:30 approximately, it tries to control
 
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