Soot modeling and trend predictions in non premixed turbulent jet flames with use of cfd
During combustion of a fuel, potentially harmful emissions are produced, which are undesired because of their negative impact on the environment, health and equipment. One type of these emissions is soot, which is a form of particulate matter that forms as a result of incomplete combustion in the gas-phase. The formation and burnout of soot is a complex process in which several stages can be identified like particle inception, surface growth, coagulation and oxidation.
The fuel type and combustion conditions influence the sooting behavior of a flame through changes in chemistry. The goal of this thesis is to provide insight in how different combustion conditions and fuels influence the sooting tendency with the use of computational fluid dynamics (CFD).
Experimental results of a turbulent non-premixed confined methane jet flame are used as a reference case to validate the numerical model. The sooting behavior for several combustion conditions and heavier fuels than methane are investigated. The results are qualitatively validated with the use of literature and the sooting behavior is shown to be globally well predicted by changes in the combustion conditions. However, the soot model has some limitations when it comes to modeling of heavier fuels due to the inaccurate capturing of some of the stages in soot formation.