Project No: FE0012053
Performer: University of Texas at Austin
DOE Share: $500,000.00
Performer Share: $125,000.00
Total Award Value: $625,000.00
Performer website: University of Texas at Austin - http://www.utexas.edu/
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.
Time sequence of flame luminosity during flashback of a methane-hydrogen swirl flame.
Program Background and Project Benefits
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.