Refrigerant mass migration modeling and simulation for air conditioning systems

نویسندگان

  • Bin Li
  • Steffen Peuker
  • Predrag S. Hrnjak
  • Andrew G. Alleyne
چکیده

Refrigerant mass migration and redistribution are regarded as key factors affecting the cycling perfor­ mance 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 demon­ strates 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.

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تاریخ انتشار 2011