ORTA ÖLÇEKLİ BİR CAMİDE DOĞAL HAVALANDIRMANIN CFD SİMÜLASYONUNUN ÇÖZÜCÜ HASSASİYETİ İÇİN BİR YAKLAŞIM

Building simulations are used at every stage of implementing energy-efficient building design. During the design phase, measures to reduce the building's energy consumption can be taken, and in existing structures, the potential for natural ventilation can be utilized through passive design principles without compromising comfort conditions. In addition, predicting the effectiveness of natural ventilation often leads to highly uncertain results compared to mechanical systems. Unlike the extensive mechanical system analyses found in the literature, there is uncertainty in the accuracy of appropriate CFD solution steps in natural ventilation studies. Different approaches are being tested in CFD solutions to increase the accuracy of simulation-based predictions. Among the approaches to predicting ventilation effectiveness in buildings, computational fluid dynamics (CFD) calculations are common. CFD analyses show varying results depending on solver settings, discretization schemes, turbulence models, mesh sensitivity, and time methods. In this study, different analytical approaches are tested for certain opening configurations to analyze the effect of numerous uncertain variables on comfort parameters. The extent to which the results of the Coupled and SIMPLE solvers affect cross-ventilation and perpendicular ventilation cases is questioned. Differences between parameters such as CO2 concentration as a pollutant gas value, air velocity, and temperature have been taken into account. While the air velocity parameter shows quite similar results for both solvers, the results for CO2 concentration and temperature parameters differ significantly. Whether the flow is in two-dimensional or 3D flow volume affects the solver settings. Since CO2 concentrations depend on the mass increase, they were found to be slightly affected by the solvent difference. Air velocity was found to be the most important factor affecting the flow pattern and the distribution of concentrations and temperature.