Optimize the schedule of chiller plant by harmony search algorithm

Setting and adjusting each component operating status of the conventional chiller plant is usually based on human judgment or control of Proportional-Integral-Differential (PID) based on pressure, temperature variables.Due to the lack of scientific, systematic and optimum logic basis, it is difficult to optimize the operation of chiller plant and control the excessive energy consumption with these methods.This study employs the Harmony Search Algorithm (HSA) to determine the optimum operation of each component within the plant to obtain the most energy-saving operation for maximum operation efficiency of the chiller plant, according to the actual required cooling capacity at load side, actual performance and operation condition of each component.The results reflect that the HSA can obtain the optimum solution and increase the Coefficient of Performance (COP) of the original chiller plant by 6.25%.