It provides a method for controlling cooling
system of a
power equipment and a
system using the same. The method includes steps of: obtaining a first
data set representing operational cost related parameters specific to the
power equipment and its cooling
system at a series of time intervals of a first
load cycle in a history profile; obtaining a second
data set representing operational cost related parameters specific to the
power equipment and its cooling system at a series of time intervals of a second
load cycle in the history profile, where the second
load cycle follows the first load cycle; in consideration of the parameters represented by the first
data set, through knowledge-based predetermined numerical and / or logical linkages, establishing a third data set representing optimal
cooling capacity parameters for the cooling system at the series of time intervals of the first load cycle according to criteria for operational
cost optimization of the power equipment; in consideration of the parameters represented by the second data set, through knowledge-based predetermined numerical and / or logical linkages, establishing a fourth data set representing optimal
cooling capacity parameters for the cooling system at the series of time intervals of the second load cycle according to criteria for operational
cost optimization of the power equipment; establishing a fifth data set representing a
cooling capacity parameter difference between the established cooling capacity parameters concerning the first load cycle and the second load cycle; establishing a sixth data set representing cooling capacity parameters for the cooling system at a series of time intervals of a present load cycle by computationally correcting the established cooling capacity parameter concerning the time intervals of the second cycle load with use of the cooling capacity parameter difference; and controlling the cooling system to operate at a series of time intervals of the present load cycle at the established cooling capacity parameters concerning the present load cycle represented by the sixth data set.