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International Journal of Refrigeration

ISSN: 0140-7007

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Datasets associated with articles published in International Journal of Refrigeration

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1970
2024
1970 2024
14 results
  • Data for: Density and viscosity of a polyol ester lubricant: Measurement and molecular dynamics simulation
    Density and viscosity of pentaerythritol tetrahexanoate (PEC6) for 258 K to 373 K.
    • Dataset
  • Data for: Influence of the refrigerant charge in an R407C liquid-to-water heat pump for space heating and domestic hot water production
    The Excel file contains raw experimental data of 75 experiments. Measured parameters include: temperatures (T), gauge pressures (P), volumetric flow rates (V), compressor electric power (Welec) and atmopheric pressure. See Figure 1 of the paper for the numbering and position of the different sensors. See Table 1 of the paper for the types of sensors used and their accuracies.
    • Dataset
  • Data for: Computing Thermodynamic Properties of Ammonia-water Mixtures using Artificial Neural Networks
    Artificial Neural Network based MATLAB functions for computing thermodynamic properties of ammonia-water mixtures
    • Dataset
  • Data for: Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures
    Supporting Information, including additional figures
    • Dataset
  • Data for: Performance analysis of a R407C liquid-to-water heat pump: effect of a liquid-vapor heat exchanger and domestic hot water production
    The Excel file contains raw experimental data of 64 experiments. Measure parameters include: temperatures (T), gauge pressures (P), volumetric flow rates (V), compressor electric power (Welec) and atmopheric pressure. See Figure 1 of the paper for the numbering and position of the different sensors. See Table 1 of the paper for the types of sensors used and their accuracies.
    • Dataset
  • Data for: An Empirical Model for Refrigerant Flammability Based on Molecular Structure and Thermodynamics
    The data files are: ASHRAE34_applications.csv ASHRAE Standard 34 existing agents, test data for refrigerant flammability FlameAngles.csv ASHRAE Standard 34 applications for new refrigerants, flammability data cantera_flammability.py A python script to run the calculations for Taft, F-ratio, and PI_bar outlined in the paper hfcmech_v13all.cti Thermodynamic database necessary to run the above calculations.
    • Dataset
  • Supporting data - Novel design of a high efficiency multi-bed active magnetic regenerator heat pump
    Supporting data for publication 'Novel design of a high efficiency multi-bed active magnetic regenerator heat pump" submitted to the International Journal of Refrigeration (DOI 10.1016/j.ijrefrig.2021.09.007) The videos show the operation of the novel magnetocaloric heat pump called the MagQueen, which has been developed by DTU Energy. The Excel sheet summarizes the experimental output parameters for the performance data presented in the publication. All data were measured continuously after reaching steady-state conditions, and the data were averaged over a time span of 600 s.
    • Video
  • Supporting data - Novel design of a high efficiency multi-bed active magnetic regenerator heat pump
    Supporting data for publication 'Novel design of a high efficiency multi-bed active magnetic regenerator heat pump" submitted to the International Journal of Refrigeration (DOI 10.1016/j.ijrefrig.2021.09.007) The videos show the operation of the novel magnetocaloric heat pump called the MagQueen, which has been developed by DTU Energy. The Excel sheet summarizes the experimental output parameters for the performance data presented in the publication. All data were measured continuously after reaching steady-state conditions, and the data were averaged over a time span of 600 s.
    • Video
  • Supporting data - Impact of hysteresis on cooling performance of caloric materials
    Supporting data for publication 'Impact of hysteresis on caloric cooling performance" submitted in the International Journal of Refrigeration (DOI 10.1016/j.ijrefrig.2020.10.012) The data comprise:1) An Excel file presenting the modeling results from the 1D regenerator model with hysteresis term (Qhys) to predict how modeled materials with a range of hysteresis values affect the cooling performance, including COP and cooling performance (Pcool). The Excel file presents the results for the six model materials, which have different physical (and thermodynamic) properties, i.e., specific heat capacity at zero field (c) and isothermal entropy change (s). For example, the material 'LoCLoS' has both a low specific heat capacitiy and a low isothermal entropy change. 2) An MS Word document with the additional Figs. S1 and S2 showing the modeled COPs for five model materials for a design cooling power of 50 W as a function of cycle frequency for different hysteresis values. The document also comprises a Table S1 presenting the modeled COPs for a design cooling power of 300 W as a function of cycle frequency for different hysteresis values.
    • Dataset
  • Supporting data - Impact of hysteresis on cooling performance of caloric materials
    Supporting data for publication 'Impact of hysteresis on caloric cooling performance" submitted in the International Journal of Refrigeration (DOI 10.1016/j.ijrefrig.2020.10.012) The data comprise:1) An Excel file presenting the modeling results from the 1D regenerator model with hysteresis term (Qhys) to predict how modeled materials with a range of hysteresis values affect the cooling performance, including COP and cooling performance (Pcool). The Excel file presents the results for the six model materials, which have different physical (and thermodynamic) properties, i.e., specific heat capacity at zero field (c) and isothermal entropy change (s). For example, the material 'LoCLoS' has both a low specific heat capacitiy and a low isothermal entropy change. 2) An MS Word document with the additional Figs. S1 and S2 showing the modeled COPs for five model materials for a design cooling power of 50 W as a function of cycle frequency for different hysteresis values. The document also comprises a Table S1 presenting the modeled COPs for a design cooling power of 300 W as a function of cycle frequency for different hysteresis values.
    • Dataset
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