Fast and accurate modelling of twin-screw compressors: A generalised low-order approach

Twin-screw compressors (TSC) are commonly used in heat pump processes due to their robustness and flexibility. They exhibit two core properties, i.e. the swept volume and the built-in volume ratio (BVR), which heavily influence their capacity limits and off-design efficiency. This work presents a new low-order model (i.e. a polynomial model), which can accurately predict a TSC’s behaviour. The model uses the external pressure ratio and volumetric compressor inlet flow rate to calculate isentropic efficiency and compressor speed. The input parameters are normalised with a reference flow rate (calculated from the swept volume) and the BVR, respectively. This results in a generalised model of low numerical cost, which can be used for explorative studies independent of the specific machine size and BVR. A gain in computational speed by a factor of 375 is achieved compared to a semi-empiric reference model. The model displays very good predictive accuracy when used to predict the performance of machines with similar BVRs, but different sizes. A mean deviation from the manufacturer data of 4.29 % , 0.88 ° C and 1.38 % for the shaft power, the outlet temperature and the compressor speed can be observed, respectively. When there is a difference in size and BVR, the prediction accuracy is still reasonable but significantly declines for small and very large pressure ratios. Nevertheless, the proposed new approach extends the state-of-the-art by introducing a low-order model, which combines the advantages of low computational cost, high accuracy, physically correct predictions over a wide operational range and scalability to different machine capacities and BVRs. The validation for different fluids indicates a good general prediction accuracy relatively independent of the used fluid. • Development of a novel and accurate low-order model for twin-screw compressors. • Model generalisation for size-independent performance prediction useful for scale-up. • High model accuracy independent from the compressor size (with respect to swept volume). • Limited model applicability to machines with larger deviations in built-in volume ratio. • Tools for accurate yet time efficient compressor modelling, e.g. for extensive simulations and optimisation of heat pumps. • High potential for other positive displacement compressors and expanders such as twin-screw expanders.

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Publication Details

Journal
Applied Thermal Engineering
Published
2024-08-26
DOI
https://doi.org/10.1016/j.applthermaleng.2024.124238
Citations
8
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
Field-Weighted Citation Impact
1.70

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article

Fast and accurate modelling of twin-screw compressors: A generalised low-order approach

Ludwig Irrgang, H. Spliethoff, Christopher Schifflechner, Florian Kaufmann
8 citations
Applied Thermal Engineering
Refrigeration and Air Conditioning Technologies
1.70
article

Fast and accurate modelling of twin-screw compressors: A generalised low-order approach

Ludwig Irrgang, H. Spliethoff, Christopher Schifflechner, Florian Kaufmann
article en
8 citations

Abstract

Twin-screw compressors (TSC) are commonly used in heat pump processes due to their robustness and flexibility. They exhibit two core properties, i.e. the swept volume and the built-in volume ratio (BVR), which heavily influence their capacity limits and off-design efficiency. This work presents a new low-order model (i.e. a polynomial model), which can accurately predict a TSC’s behaviour. The model uses the external pressure ratio and volumetric compressor inlet flow rate to calculate isentropic efficiency and compressor speed. The input parameters are normalised with a reference flow rate (calculated from the swept volume) and the BVR, respectively. This results in a generalised model of low numerical cost, which can be used for explorative studies independent of the specific machine size and BVR. A gain in computational speed by a factor of 375 is achieved compared to a semi-empiric reference model. The model displays very good predictive accuracy when used to predict the performance of machines with similar BVRs, but different sizes. A mean deviation from the manufacturer data of 4.29 % , 0.88 ° C and 1.38 % for the shaft power, the outlet temperature and the compressor speed can be observed, respectively. When there is a difference in size and BVR, the prediction accuracy is still reasonable but significantly declines for small and very large pressure ratios. Nevertheless, the proposed new approach extends the state-of-the-art by introducing a low-order model, which combines the advantages of low computational cost, high accuracy, physically correct predictions over a wide operational range and scalability to different machine capacities and BVRs. The validation for different fluids indicates a good general prediction accuracy relatively independent of the used fluid. • Development of a novel and accurate low-order model for twin-screw compressors. • Model generalisation for size-independent performance prediction useful for scale-up. • High model accuracy independent from the compressor size (with respect to swept volume). • Limited model applicability to machines with larger deviations in built-in volume ratio. • Tools for accurate yet time efficient compressor modelling, e.g. for extensive simulations and optimisation of heat pumps. • High potential for other positive displacement compressors and expanders such as twin-screw expanders.

Applied Thermal EngineeringVol. 257
Technical University of Munich (DE)
Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst
Affordable and clean energy
Openalex Percentile: Top 18%
Refrigeration and Air Conditioning Technologies
1.70
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