Refrigeration cycle efficiency improvement supported on dual response optimization.

To minimize energy consumption and maximize refrigeration effect of a compression refrigeration cycle, statistically designed experiments were performed and analyzed. A faced-centered cube design was run to support the estimation of regression models fitted to refrigeration and electrical powers. Simultaneous optimization of response models provide a better understanding of how controllable variables impacts on cycle efficiency, yielding optimal variable settings. Results confirm the usefulness of proposed approach for device design and operation purposes.