Airport terminal buildings are among energy most
consuming buildings and this presents huge opportunities for
implementing energy saving strategies. Achieving satisfactory
control of these buildings using classical controllers alone is
difficult because they contain components that are complex, nonlinear
but dynamically related. Therefore, this paper presents
and appraises fuzzy control strategies for reducing energy
consumptions while simultaneously providing comfort for
passengers in an airport terminal building. The inputs into this
fuzzy supervisory controller are the time schedule for arrival and
departure of passenger planes as well as the expected number of
passengers during each flight, zone illuminance and external
temperature. The controller outputs optimised temperature,
airflow rates and lighting setpoints for the conventional
controllers. Simulation studies in MATLAB/SIMULINK
confirmed the capacity of this control strategy to provide comfort
setpoints for the passengers at reduced energy
