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<p>Natural refrigerants and hydrofluoroolefins (HFOs) have emerged as promising long-term alternatives to conventional refrigerants because of their zero Ozone Depletion Potential (ODP) and very low Global Warming Potential (GWP), in accordance with the requirements of the Kigali Amendment to the Montreal Protocol and relevant European Union regulations. Among these candidates, R-1132(E) has attracted considerable attention owing to its very low GWP and vapor pressure characteristics comparable to those of R-32, making it a potential component of next-generation refrigerant blends for air-conditioning applications such as R-474A and R-479A. In the present study, the thermal conductivity of R-1132(E) was measured and correlated using empirical models. Measurements were performed in both liquid and vapor phases using the well-established transient hot-wire technique with a 15&#xa0;μm diameter platinum wire as the sensing element. Liquid-phase measurements were conducted over the temperature range 233 to 313&#xa0;K at pressures between 2&#xa0;MPa and 4&#xa0;MPa, whereas vapor-phase measurements were obtained in the temperature range 292 to 398&#xa0;K at pressures from 1&#xa0;MPa to 4&#xa0;MPa. The combined standard uncertainties of the thermal conductivity measurements were evaluated in accordance with the Guide to the Expression of Uncertainty in Measurement and were estimated to be 1.42&#xa0;% in the liquid phase and 2.18&#xa0;% in the vapor phase. Furthermore, empirical correlations for the thermal conductivity of R-1132(E) were developed using the Extended Corresponding States (ECS) method and a modified Residual Entropy Scaling (RES) approach based on the experimental data obtained in this work. Within the stated uncertainty limits, the proposed models reproduce the measured thermal conductivity data with high accuracy owing to optimized adjustable parameters determined through a dedicated fitting procedure.</p>

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Thermal Conductivity of R-1132(E): Experimental Determination and Modeling via Extended Corresponding States and Residual Entropy Scaling

  • 期刊论文

  • 发表日期：

    2026年4月29日

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  • Taskira Islam Hoimontee,
  • Monjur Morshed,
  • Md. Tachadduk Saber,
  • Atiqur Rahman Tuhin,
  • Takayoshi Matsunaga,
  • Dipankar Tarafdar,
  • Akio Miyara

摘要

Natural refrigerants and hydrofluoroolefins (HFOs) have emerged as promising long-term alternatives to conventional refrigerants because of their zero Ozone Depletion Potential (ODP) and very low Global Warming Potential (GWP), in accordance with the requirements of the Kigali Amendment to the Montreal Protocol and relevant European Union regulations. Among these candidates, R-1132(E) has attracted considerable attention owing to its very low GWP and vapor pressure characteristics comparable to those of R-32, making it a potential component of next-generation refrigerant blends for air-conditioning applications such as R-474A and R-479A. In the present study, the thermal conductivity of R-1132(E) was measured and correlated using empirical models. Measurements were performed in both liquid and vapor phases using the well-established transient hot-wire technique with a 15 μm diameter platinum wire as the sensing element. Liquid-phase measurements were conducted over the temperature range 233 to 313 K at pressures between 2 MPa and 4 MPa, whereas vapor-phase measurements were obtained in the temperature range 292 to 398 K at pressures from 1 MPa to 4 MPa. The combined standard uncertainties of the thermal conductivity measurements were evaluated in accordance with the Guide to the Expression of Uncertainty in Measurement and were estimated to be 1.42 % in the liquid phase and 2.18 % in the vapor phase. Furthermore, empirical correlations for the thermal conductivity of R-1132(E) were developed using the Extended Corresponding States (ECS) method and a modified Residual Entropy Scaling (RES) approach based on the experimental data obtained in this work. Within the stated uncertainty limits, the proposed models reproduce the measured thermal conductivity data with high accuracy owing to optimized adjustable parameters determined through a dedicated fitting procedure.