Refrigeration cycles are used in a large diversity of industrial and domestic (residential and non-residential) equipment and their efficiency depend on several variables. To better understanding of how controllable variables impact on a compression refrigeration cycle efficiency, statistically designed experiments were conducted and data were analyzed. A quadraticpolynomial model was fitted to Co efficient of Performance and variable settingsto maximize cycle efficiency identified. Results give confidence to use theillustrated approach for refrigeration cycle design and operation improvement purposes.

Applying design of experiments to a compression refrigeration cycle.pdf 

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