Dynamic modeling for vapor compression systems—Part I: Literature review

Abstract

This two-part article provides an introduction to dynamic modeling for vapor compression systems. Part I provides a detailed review of current literature in this area. Both physics- and data-based approaches are discussed with their associated advantages and limitations. Physics-based modeling paradigms include (1) lumped parameter approaches that qualitatively capture gross pressure and cooling transients, (2) moving boundary approaches that seek to model the dynamic variations in phase transition points, and (3) finite-control volume approaches that use discretized models that include temperature and parameter gradients in an effort to achieve greater accuracy. These models are based on first principles, but yet require time-consuming tuning and validation with experimental data. Data-based approaches offer faster model generation but are specific to the system and conditions from which the data originated.

Acknowledgments

The author gratefully acknowledges the support provided by NSF (grant CMMI-0644363) and the assistance of anonymous reviewers in improving the manuscript. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Bryan P. Rasmussen, PhD, Member ASHRAE, is Associate Professor.