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

Author(s) : COSTA N., GARCÍA J.

Type of article: Article

Summary

Response surface methodology was employed to optimize the efficiency of a refrigeration cycle demonstration unit using a multi-response 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.

Details

  • Original title: Using a multiple response optimization approach to optimize the coefficient of performance.
  • Record ID : 30016684
  • Languages: English
  • Source: Applied Thermal Engineering - vol. 96
  • Publication date: 2016/03/05
  • DOI: http://dx.doi.org/10.1016/j.applthermaleng.2015.11.080

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