Track: Quality Control and Management
Abstract
Refrigeration cycles are used in a large diversity of industrial and domestic (residential and non-residential) equipments and its efficiency depends on several variables. Statistically designed experiments were conducted to better understanding of how controllable variables impacts on a compression refrigeration cycle efficiency in order to design high-efficiency refrigeration cycles, which are characterized by lower energy consumption and better refrigeration effects. A quadratic polynomial model was fitted to Coefficient of Performance and variable settings to maximize cycle efficiency identified.