2022
DOI: 10.1016/j.ijrefrig.2022.01.012
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A data-driven energy management strategy based on performance prediction for cascade refrigeration systems

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Cited by 14 publications
(3 citation statements)
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References 27 publications
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“…Point 3 represents the state before throttling, and point 4 represents the state before evaporation. By quantitatively determining the thermodynamic state of the refrigerant at the import and export of each component, the enthalpy changes during each working process can be calculated [36].…”
Section: Thermodynamic Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Point 3 represents the state before throttling, and point 4 represents the state before evaporation. By quantitatively determining the thermodynamic state of the refrigerant at the import and export of each component, the enthalpy changes during each working process can be calculated [36].…”
Section: Thermodynamic Modelmentioning
confidence: 99%
“…In this paper, the efficiency is defined as the ratio of the isentropic compression power to the input power of the drive motor, determined by Equation (5). According to experience, the isentropic efficiency of the compressor is strongly related to the pressure ratio [36]. In this paper, the efficiency is fitted based on the actual experimental data of the compressor.…”
Section: Thermodynamic Modelmentioning
confidence: 99%
“…Soni et al 10 compared the comprehensive performance of a CRS with refrigerant pairs R744‐R717, R744‐R1234yf, and R744‐R1234ze. Li et al 11 adopted a data‐driven model and a knowledge‐driven model to improve the COP and reduce the power consumption of a R744‐R717 CRS.…”
Section: Introductionmentioning
confidence: 99%