Record Display for the EPA National Library Catalog

RECORD NUMBER: 2 OF 2

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 (BFRL), Gaithersburg, MD. Building Environment Div.;Environmental Protection Agency, Washington, DC.;Electric Power Research Inst., Palo Alto, CA.
Publisher 1990
Year Published 1990
Stock Number PB93-130383
Additional Subjects Refrigerants ; Thermodynamic cycles ; Cooling systems ; Computerized simulation ; Mixtures ; Thermodynamic properties ; Compressible flow ; Heat exchangers ; Refrigerating machinery ; Refrigerant compressors ; Mathematical models ; Heat transfer ; Reprints ;
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB93-130383 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/08/1993
Collation 10p
Abstract
A simulation program, CYCLE11, which is useful for the preliminary evaluation of the performance of refrigerants 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.