Set of performance correlations for reciprocating compressor covering synthetic and hydrocarbon refrigerants.
Number: 1313
Author(s) : DOUGHTY O., ARPAGAUS C., BERTSCH S. S., BRENDEL L. P. M.
Summary
Accurate compressor performance prediction is a key tool in heat pump and refrigeration system modeling and design. Correlations applicable to a variety of refrigerant types are rare and would be valuable for multi-refrigerant screenings and mixture development. This work presents correlations for isentropic and volumetric efficiency and heat losses of reciprocating compressors for synthetic and hydrocarbon refrigerants and mixtures. A refrigerant-specific toggle term was included in the isentropic efficiency correlation to distinguish between refrigerant types. Equations were fitted to 365 experimental data points across two compressors, 7 pure fluids and 10 mixtures thereof, with pressure ratios ranging from 2 to 18, suction pressures from 50 to 750 kPa, isentropic efficiencies from 0.30 to 0.70, volumetric efficiencies from 0.35 to 0.90, and heat losses from 0.1 to 0.65 of the compressor power draw. The overall isentropic efficiency (referred to throughout the paper as simply “isentropic efficiency”) correlation has three input parameters and predicts all data with an average deviation of 0.012. The volumetric efficiency correlation has only one input parameter and predicts all data with 0.022 average absolute error. The heat loss correlation has two input parameters and an average deviation of 0.034. All three correlations are valid over the entire experimental range for all fluid/compressor combinations tested.
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Details
- Original title: Set of performance correlations for reciprocating compressor covering synthetic and hydrocarbon refrigerants.
- Record ID : 30033599
- Languages: English
- Subject: Technology
- Source: 2024 Purdue Conferences. 27th International Compressor Engineering Conference at Purdue.
- Publication date: 2024/07/18
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Indexing
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Themes:
Compressors;
Blends - Keywords: Compressor; Refrigerant; Hydrocarbon; Mixture; Correlation; Modelling; Design
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