<p>Accurate evaporation heat transfer correlations are essential for the effective design, modeling, and optimization of heat exchangers. As a result, evaluating the heat transfer coefficient (HTC) of emerging low-GWP refrigerants is crucial for improving heat exchanger performance. In this work, several commonly used evaporation heat transfer correlations are tested against experimental data obtained for a binary refrigerant mixture of CF₃I and R1132a to assess their prediction accuracy. The dataset spans a range of operating parameters, including variations in mass flux, heat flux, vapor quality, and saturation pressure. This particular refrigerant blend exhibits a significant temperature glide, which has a notable influence on heat transfer behavior. Among the correlations tested, those proposed by Shah (1984), Li et al. (2013), Bertsch et al. (2009) and Kim and Mudawar (2013) demonstrated the best predictive performance, yielding the lowest mean absolute deviation (MAD) relative to experimental measurements. To enhance prediction accuracy, correction terms were introduced into the heat transfer components of the Kim and Mudawar correlation, resulting in improved agreement with experimental data.</p>