چكيده به لاتين
Jet fires and their consequences are one of the significant factors responsible for catastrophic events in industrial process units. This phenomenon occurs when a high-power fuel, typically gas, vapor or dual liquid, is flushed out of safety valves or cavities and gaps in equipment under pressure or through the transfer of pipelines into the rust. In this research, various types of turbulence models on a vertical propane jet fire were investigated using computational fluid dynamics (CFD) modeling. CFD was applied to evaluate the following models: k-ε, SST, BSL, BSL RS and the realizable K-epsilon (k-ε) models for turbulence, the Eddy Dissipation Concept (EDC) for combustion, and the Monte Carlo simulation for radiation. The results showed that all the mentioned turbulence models and approximate RNG k-ε at a temperature range of 1500K to1700K had an excellent ability to determine the flame length without considering liftoff and simulate the distribution of temperature along the flame length with the 4 % error. However, the SST turbulence model could be the best option for jet fire simulation considering its shorter compiling time. Also, the simulation of the jet fire shape at the 800 K isosurface was compared with the experimental values which were attained under the same conditions; the simulation results were almost near the experimental jet fire data. However, several factors could cause a discrepancy in the simulation results with the experimental data. These include the scattered experimental data, the lack of proper prediction regarding lift-off in modeling, and variations or increase in the pressure and density of the fluid inputs. Using the SST turbulence model, the Monte Carlo, Rosseland, P1 and discrete models of the radiation models were compared with each other in the same conditions with the experimental data, the simulation results showed that the Monte Carlo radiation model, from the other models, has a higher potential for prediction Radiation but the Rosseland radiation Model is not suitable because Due to the unpredictability of temperature prediction, it is not appropriate to simulate propane jet fire.