Recommended Citation
Postprint version. Published in Applied Thermal Engineering, Volume 31, Issue 10, July 1, 2011, pages 1770-1779.
NOTE: At the time of publication, the author Steffen Peuker was not yet affiliated with Cal Poly.
The definitive version is available at https://doi.org/10.1016/j.applthermaleng.2011.02.022.
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.
Disciplines
Mechanical Engineering
Copyright
2011 Elsevier.
URL: https://digitalcommons.calpoly.edu/meng_fac/103