| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 644954 | Applied Thermal Engineering | 2016 | 7 Pages |
•A statistical approach to optimize the refrigeration cycle's efficiency is illustrated.•A multiresponse problem was formulated and solved under the RSM.•The relationship between each response and control factors is modeled.•Simultaneous optimization of refrigeration and electric powers is illustrated.•Variable settings to maximize cycle's efficiency were identified.
Response surface methodology was employed to optimize the efficiency of a refrigeration cycle demonstration unit using a multiresponse optimization approach. Statistically designed experiments were conducted to simultaneously minimize energy consumption and maximize the refrigeration effect of a compression refrigeration cycle. Regression models were fitted to refrigeration and electrical powers and optimal variable settings were identified using an easy-to-use optimization criterion. Results give confidence to apply the illustrated approach in academic and industrial settings, namely for optimizing equipment operation.
