Refrigerant mass migration modeling and simulation for air conditioning systems

Bin Li, Steffen Peuker, Predrag S. Hrnjak, Andrew G. Alleyne

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Refrigerant mass migration and redistribution are regarded as key factors affecting the cycling performance of air conditioning and refrigeration systems. A dynamic model of an R134a automotive air conditioning system is presented as an example in this paper to capture the refrigerant migration during compressor shut-down and start-up operations. Model validation against experimental data demonstrates the capabilities of the modeling approach in predicting the refrigerant mass migration among the components during shut-down, and the resulting refrigerant redistribution behaviors during start-up. These results represent the first refrigerant mass migration prediction in a validated dynamic system model. In addition, the potential of the dynamic modeling method in performance evaluation for possible product designs and control implementation for system cycling performance improvement is discussed in this paper.

Original languageEnglish (US)
Pages (from-to)1770-1779
Number of pages10
JournalApplied Thermal Engineering
Volume31
Issue number10
DOIs
StatePublished - Jul 2011
Externally publishedYes

Bibliographical note

Funding Information:
The authors are grateful for the financial support of the sponsoring companies of the Air-Conditioning and Refrigeration Center (ACRC) at the University of Illinois at Urbana-Champaign.

Keywords

  • Automotive
  • Cycling
  • Migration
  • Model
  • Refrigerant

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