Predictive Large Eddy Simulation Modeling and Validation of Turbulent Flames and Flashback in Hydrogen Enriched Gas Turbines Email Page
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Performer:  University of Texas at Austin Location:  Austin, Texas
Project Duration:  10/01/2013 – 09/30/2018 Award Number:  FE0012053
Technology Area:  Advanced Turbines Total Award Value:  $630,295
Key Technology:  Advanced Combustion Turbines DOE Share:  $500,000
Performer Share:  $130,295

Time sequence of flame luminosity during<br/>flashback of a methane-hydrogen swirl flame.
Time sequence of flame luminosity during
flashback of a methane-hydrogen swirl flame.

Project Description

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.

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.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager Mark C. Freeman:
Technology Manager Richard Dennis:
Principal Investigator Venkatramanan Raman: