Predictive Large Eddy Simulation Modeling and Validation of Turbulent Flames and Flashback in Hydrogen Enriched Gas Turbines

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.

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Time sequence of flame luminosity during flashback of a methane-hydrogen swirl flame

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Predictive LES Modeling and Validation of High-Pressure Turbulent Flames and Flashback in Hydrogen-Enriched Gas-Turbine Combustion (2014)
Presented by Venkat Raman, University of Michigan at the 2014 University Turbine Systems Research Workshop.

Principal Investigator

Venkatramanan Raman

v.raman@mail.utexas.edu

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.

Project ID

FE0012053

Website

University of Texas at Austin

http://www.utexas.edu/