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Experimental Study and Statistical Modeling of an Injection Scroll Compressor Operating with R407c.

Belgium, Liège : University of Liège
Publication Date
  • Injection Compressor
  • Scroll
  • Machine Learning
  • Gaussian Processes
  • Experimental
  • Engineering
  • Computing & Technology :: Multidisciplinary
  • General & Others [C99]
  • Ingénierie
  • Informatique & Technologie :: Multidisciplinaire
  • Généralités & Autres [C99]
  • Computer Science
  • Design


This working paper describes an experimental study carried out on a refrigeration scroll compressor with and without vapour injection. The test rig designed for that purposed allows evaluating the performance over a wide range of operating conditions, by varying the supply pressure, the injection pressure, the exhaust pressure, the supply superheating and the injection superheating. 97 Steady-state points are measured, with a maximum isentropic efficiency of 64.1% and a maximum consumed electrical power of 13.1 kW. A critical analysis of the experimental results is then carried out to evaluate the quality of the data using a machine learning method. This method based on Gaussian Processes regression, is used to build a statistical operating map of the compressor as a function of the different inputs. This statistical operating map can then be compared to the experimental data points to evaluate their accuracy.

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