The overall objective of this University of Texas project is to develop predictive computational models for large eddy simulations (LES) for capturing flame flashback and propagation in high-hydrogen content fuels in high-pressure gas turbines. The focus will be on two key topics: behavior of high-pressure turbulent flames with and without equivalence ratio variations, and flashback propagation through a turbulent boundary layer. The predictive accuracy of the models for gas turbine operating conditions will be demonstrated using a combination of targeted experiments, legacy data, and high-resolution direct numerical simulation (DNS) data.
This project will focus on the development of a computational model that can capture flame flashback and propagation for combustion of high hydrogen content (HHC) fuels. Improving large-eddy simulation models for HHC fuels will lead to hydrogen combustor designs that produce fewer emissions at higher temperatures. Specifically, this project will construct a moderate-pressure turbulent stratified burner test facility to validate the predictive model with correlations between mixture fraction and velocity and flame front geometry over a wide range of turbine relevant conditions.
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