Record Display for the EPA National Library Catalog

RECORD NUMBER: 7 OF 9

OLS Field Name OLS Field Data
Main Title Simplified Cycle Simulation Model for the Performance Rating of Refrigerants and Refrigerant Mixtures.
Author Domanski, P. A. ; McLinden, M. O. ;
CORP Author National Inst. of Standards and Technology (NEL), Gaithersburg, MD. Building Environment Div.;Environmental Protection Agency, Washington, DC.;Electric Power Research Inst., Palo Alto, CA.
Publisher 1993
Year Published 1993
Stock Number PB94-199890
Additional Subjects Refrigerants ; Thermodynamic properties ; Models ; Computerized simulation ; Equations of state ; Mixtures ; Computer programs ; Transport properties ; Heat pumps ; Refrigerators ; Vapor compression refrigeration cycle ; Reprints ;
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB94-199890 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 11/11/1994
Collation 8p
Abstract
A simulation program, CYCLE11, which is useful for the preliminary evaluation of the performance of refrigerants and refrigerant mixtures in the vapor compression cycle is described. The program simulates a theoretical vapor-compression cycle and departures from the theoretical cycle as occur in a heat pump and in a refrigerator. The cycles are prescribed in terms of the temperatures of the external heat transfer fluids with the heat exchangers generalized by their average effective temperature differences. The isenthalpic expansion process is assumed. The program includes a rudimentary model of a compressor and a representation of the suction line and liquid line heat exchange. Refrigerant thermodynamic properties are calculated using the Carnahan-Starling-DeSantes equation-of-state. Refrigerant transport properties are not included in the simulations. The program can generate merit ratings of refrigerants for which limited measurement data are available. An example of simulation results stresses the need for careful application of simplified models and consideration for the involved assumptions.