Abstract
As APF (annual performance factor) becomes the energy efficiency index of heat pump type air conditioners, the amount of working conditions to be tested for each air conditioner has greatly increased from one to five, meaning experiment based maximization of the energy efficiency index may result in too heavy experimental tasks. The purpose of this paper is to present a method to maximize the APF of a heat pump type air conditioner quickly. In this method, one set of experimental data of air conditioner performance is obtained at first, then the APF optimization equations is deduced from the theoretical cycle of refrigeration, and finally the experimental data are substituted into the APF optimization equations to calculate the best combinations of capacity and energy efficiency. The new method is applied to a real HPAC, which shows a large amount of time and experimental work can be reduced to get the maximum APF.
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