Experiments during flow boiling of a R22 drop-in: R422D adiabatic pressure gradients
- 1. D.E.TE.C., Facolta di Ingegneria, Universita degli Studi di Napoli Federico II, p.le Tecchio 80, 80125 Napoli (Italy)
- 2. Dipartimento di Ingegneria, Universita degli Studi del Sannio, corso Garibaldi 107, Palazzo dell'Aquila Bosco Lucarelli, 82100 Benevento (Italy)
Description
R22, the HCFC most widely used in refrigeration and air-conditioning systems in the last years, is phasing-out. R422D, a zero ozone-depleting mixture of R125, R134a and R600a (65.1%/31.5%/3.4% by weight, respectively), has been recently proposed as a drop-in substitute. For energy consumption calculations and temperature control, it is of primary importance to estimate operating conditions after substitution. To determine pressure drop in the evaporator and piping line to the compressor, in this paper the experimental adiabatic pressure gradients during flow boiling of R422D are reported for a circular smooth horizontal tube (3.00 mm inner radius) in a range of operating conditions of interest for dry-expansion evaporators. The data are used to establish the best predictive method for calculations and its accuracy: the Moreno-Quiben and Thome method provided the best predictions for the whole database and also for the segregated data in the annular flow regime. Finally, the experimental data have been compared with the adiabatic pressure gradients of both R22 and its much used alternative R407C available in the literature.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.enconman.2009.06.001Additional details
Identifiers
- DOI
- 10.1016/j.enconman.2009.06.001;
- PII
- S0196-8904(09)00231-3;
Publishing Information
- Journal Title
- Energy Conversion and Management
- Journal Volume
- 50
- Journal Issue
- 10
- Journal Page Range
- p. 2613-2621
- ISSN
- 0196-8904
- CODEN
- ECMADL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41058206
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- ACCURACY; AIR CONDITIONING; BOILING; COMPRESSORS; ENERGY CONSUMPTION; EVAPORATORS; EXPERIMENTAL DATA; MIXTURES; OZONE; PRESSURE DROP; PRESSURE GRADIENTS; REFRIGERATION; TEMPERATURE CONTROL; TUBES
- Descriptors DEC
- CONTROL; COOLING; DATA; DISPERSIONS; INFORMATION; NUMERICAL DATA; PHASE TRANSFORMATIONS
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.