## 3 Results and Discussions
Figure 6:6 (a) Contour of velocity of H\({}_{2}\)O volume at \(Z\) = p00.0 [cm]; (b) contour of streamline velocity of H\({}_{2}\)O volume at \(Z\) = p00.0 [cm]. In Figure 22, the distribution of temperature contours is simulated for H\({}_{2}\)O specific to the external fluid volume at Z = p00.0 [cm]. Temperature distributions are shown in a simulation in which the behavior of two different fluids with the multiphase effect is examined in the process of cooling the hot water coming from the process with the R152a refrigerant. As a result of the analysis, the temperature value could reach maximum values of 20.39 \({}^{\circ}\)C and 39.39 \({}^{\circ}\)C. According to the analysis results, where there is a distribution with transitions in the blue-green scale according to Figure 22, the temperature value is in the turquoise scale at 23.56 \({}^{\circ}\)C in the entrance region, while it can be detected in the green scale at 30.92 \({}^{\circ}\)C in the exit region. Figure 6:7 Contour of temperature of H\({}_{2}\)O and R152a in all domains at Z = p00.0 [cm]. Figure 6:8 Contour of temperature of H\({}_{2}\)O external fluid volume at Z = p00.0 [cm]. In Figure 23, the distribution of temperature contours is simulated for R152a at Z = p00.0 [cm], specific to the internal fluid volume. Temperature distributions are shown in a simulation in which the behavior of two different fluids with the multiphase effect is examined during the cooling of hot water coming from the process by the R152a refrigerant. As a result of the analysis, the temperature value could reach maximum values of 45.01 \({}^{\circ}\)C and 63.98 \({}^{\circ}\)C. According to the analysis results, where there is a distribution with transitions in the red-turquoise scale according to Figure 23, the temperature value is in the red scale at 63.16 \({}^{\circ}\)C in the entrance region, while it can be detected in the turquoise scale region at 50.27 \({}^{\circ}\)C in the exit region. This comprehensive computational study analyzed the thermal performance and energy efficiency of using the R152a refrigerant in a parallel-flow heat exchanger. The simulations examined various parameters, including pressure drop, compressibility factor, dynamic pressure, Prandtl number, total pressure, and flow velocities. The results demonstrated that the energy efficiency and thermal performance of R152a are influenced by both fin spacing and flow rates. Comparison of R152a with Other Refrigerants:  
R152a's performance can be compared with commonly used refrigerants like R134a and R32 based on the following parameters:  
Energy Efficiency: R152a can offer higher heat transfer efficiency while consuming less energy compared to R134a and R32 in the heat exchanger. This makes R152a a more environmentally friendly and economical choice. Thermal Performance: R152a can operate over a wider temperature range and requires lower temperature differences to achieve the desired cooling effect compared to R134a and R32. This makes R152a an ideal candidate for low-temperature refrigeration applications. Environmental Impact: R152a has a significantly lower GWP than R134a and R32. This means that R152a is more effective in reducing greenhouse gas emissions and protecting the ozone layer. Further research is recommended on the use of R152a in heat exchangers. This could include nanomaterial applications to enhance the performance of heat exchangers. This could involve studying how nano-coatings and nano-fluids can impact the heat transfer capacity and energy efficiency of R152a. Figure 6:9 Contour of temperature of R152a internal fluid volume at Z = p00.0 [cm]. R152a has emerged as a promising refrigerant offering high thermal performance and energy efficiency in heat exchangers. Its low GWP and environmentally friendly nature make it an attractive option for sustainable refrigeration technologies.