Abstract:
An air conditioning load is considered as one of the major energy consuming loads in
residential and commercial sector. It is established that an air conditioning load causes
unwanted peaks in load curve making it more suitable for direct load control DLC program,
particularly for saving energy consumption. In this work, fuzzy controller is implemented
with dierent shapes and number of membership functions with the objective of achieving
desired thermal comfort while saving energy consumption. Simulations are conducted in
SIMULINK. The fuzzy controller, with increased number of membership functions, achieves
desired temperature with 0.9% percentage error and humidity ratio with 6% percentage
error. It is proved after calculations that the designed controller is able to save 25% of the
annual energy. After comparison with other controlling techniques, it is established that
the designed fuzzy controller is better in achieving desired objectives while maintaining
human comfort.
