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A new frictional pressure drop correlation based on flow patterns for hydrocarbon refrigerants condensation flow.

Author(s) : FANG X., QIU G., CHEN J., LIU K., LI Q., CAI W.

Type of article: IJR article

Summary

Accurately predicting frictional pressure drop of hydrocarbon refrigerants during condensation is crucial for the efficient design of heat exchangers. Currently, various correlations exist for predicting this pressure drop for hydrocarbon refrigerants. The differences in prediction accuracy among these correlations for the same working fluid significantly increase the uncertainty in heat exchangers design. This paper evaluates eight commonly used and different development forms of frictional pressure drop correlations based on experimental data of pure and mixed hydrocarbon refrigerants. The results indicate that the universality of existing correlations needs improvement. Additionally, from a mechanistic perspective, a flow-pattern-based calculation method for frictional pressure drop in condensation flow is proposed. The predictive accuracy and universality of the proposed correlation are verified with methane, ethane, propane, and methane/propane mixed refrigerants. Specifically, 79.57 % of the predicted results exhibit deviations from experimental data within 20 %, while 92.4 % show deviations within 30 %. The Mean Relative Deviation (MRD) is 0.75 %, while the Mean Absolute Relative Deviation (MARD) stands at 12.98 %. The frictional pressure drop correlation developed in this study demonstrates high precision and broad applicability. The continuity of the correlation is ensured through the incorporation of the meniscus angle, making it highly suitable for improving the design of relevant condensation heat exchangers.

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Pages: 214-223

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Details

  • Original title: A new frictional pressure drop correlation based on flow patterns for hydrocarbon refrigerants condensation flow.
  • Record ID : 30033367
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 170
  • Publication date: 2025/02
  • DOI: http://dx.doi.org/doi.org/10.1016/j.ijrefrig.2024.11.024

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