2023
DOI: 10.1016/j.applthermaleng.2023.120576
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Vapor-liquid equilibrium measurement and heating performance modeling on eco-friendly zeotropic blends of CO2/R1234ze(Z) and CO2/R1336mzz(E)

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Cited by 6 publications
(2 citation statements)
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“…Vaccaro et al [30] investigated and presented the effects of the addition of the second element in the CO 2 transcritical cycles to overcome the heavy expansion loss, requiring specific means for its mitigation. Luo et al [31] theoretically studied the vapor-liquid equilibrium (VLE) properties of two eco-friendly zeotropics, CO 2 /R1234ze(Z) and CO 2 /R1336mzz(E), by using Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) models. Chen et al [32] proposed new correlations, along with the application of deep learning-based modeling techniques, to analyze and predict saturated flow boiling heat transfer and two-phase pressure drops in the evaporating flow.…”
Section: Introductionmentioning
confidence: 99%
“…Vaccaro et al [30] investigated and presented the effects of the addition of the second element in the CO 2 transcritical cycles to overcome the heavy expansion loss, requiring specific means for its mitigation. Luo et al [31] theoretically studied the vapor-liquid equilibrium (VLE) properties of two eco-friendly zeotropics, CO 2 /R1234ze(Z) and CO 2 /R1336mzz(E), by using Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) models. Chen et al [32] proposed new correlations, along with the application of deep learning-based modeling techniques, to analyze and predict saturated flow boiling heat transfer and two-phase pressure drops in the evaporating flow.…”
Section: Introductionmentioning
confidence: 99%
“…The effects of adding a second element to CO 2 transcritical cycles to mitigate expansion losses were explored by Vaccaro et al [30]. The theoretical features of vapor-liquid equilibrium in eco-friendly zeotropic mixtures, CO 2 /R1336mzz(E) and CO 2 /R1234ze(Z), were investigated [31]. For the prediction of the boiling heat transfer of saturated flow and two-phase pressure declines in evaporating flows, Chen et al [32] offered novel correlations and deep learning-based modeling.…”
Section: Introductionmentioning
confidence: 99%