Affordable Access

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.

There are no comments yet on this publication. Be the first to share your thoughts.


Seen <100 times