Using a multiple response optimization approach to optimize the coefficient of performance

• 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.