Experimental investigation of gas cooler/condenser designs and effects on a CO2 booster system

K. M. Tsamos, Y. T. Ge*, I. D.M.C. Santosa, S. A. Tassou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
10 Downloads (Pure)

Abstract

Natural refrigerants are recognised as the most promising working fluids to replace conventional HFCs in food refrigeration systems. Due to its negligible GWP, zero ODP and attractive thermo-physical properties, the CO2 working fluid has grown in popularity over the last decade, especially in supermarket refrigeration systems. These systems can be classified into three main categories: indirect, cascade and all CO2 transcritical booster structures. However, the appropriate control and design optimisation of such systems require further investigation. This paper presents an experimental investigation into the performance of CO2 finned-tube gas coolers/condensers with different designs in a CO2 booster system. The heat exchangers were mounted in a specially designed test facility that allowed the control of different test conditions and parameters, including air on temperatures and flow rates, approach temperatures and CO2 operation pressures. The integrated refrigeration system can provide specified CO2 fluid parameters at the heat exchanger inlet, through which the system efficiency can be calculated. Subsequently, extensive measurements were recorded from this test rig, with insightful indications into system performance and the most influential parameters for system optimisation. These include heat exchanger designs, air on temperatures and flow rates, supercritical and subcritical pressure controls and cooling capacity controls, which are described in the paper.

Original languageEnglish
Pages (from-to)470-479
Number of pages10
JournalApplied Energy
Volume186
DOIs
Publication statusPublished - 15 Jan 2017
Externally publishedYes

Keywords

  • CO booster refrigeration system
  • CO gas cooler/condenser
  • Experimental investigation
  • Optimal designs

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