Large Eddy Simulation Modeling of Flashback and Flame Stabilization in Hydrogen-rich Gas Turbines using a Hierarchical Validation Approach

 

Performer: 
University of Texas at Austin
Website:  University of Texas at Austin
Award Number:  FE0007107
Project Duration:  10/01/2011 – 09/30/2015
Total Award Value:  $635,726.00
DOE Share:  $497,638.00
Performer Share:  $138,088.00
Technology Area:  Hydrogen Turbines
Key Technology:  Hydrogen Turbines
Location:  Austin, Texas
Jet flames in crossflow with different levels of premixing.<br/>The fuel is 70% CH<sub>4</sub> +30% H<sub>2</sub>. From left to right:<br/>non-premixed, jet fluid diluted by 25% (volume basis)<br/>with air, and jet fluid diluted by 50% with air.
Jet flames in crossflow with different levels of premixing.
The fuel is 70% CH4 +30% H2. From left to right:
non-premixed, jet fluid diluted by 25% (volume basis)
with air, and jet fluid diluted by 50% with air.

Project Description

The proposed work at the University of Texas aims to develop large eddy simulation (LES) models for simulating high hydrogen content (HHC) gas turbine combustion, with specific focus on premixing and flashback dynamics. The project is divided into three components: (1) LES model development using direct numerical simulation (DNS) and canonical experimental data, (2) targeted experimental studies to produce high quality mixing and flashback dynamics under engine relevant conditions, and (3) validation of LES models using a validation pyramid approach and transfer of models to industry using an open source platform.

Project Benefits

This project will focus on the development of a computer model that can simulate combustion of high hydrogen content (HHC) fuels. Improving large-eddy simulation (LES) models that can predict flashback characteristics for HHC fuels will improve the design process for hydrogen combustors that could potentially produce fewer emissions at higher temperatures. Specifically, this project will develop an LES model validated against direct numerical simulations, conduct targeted experimental studies to produce high quality data under engine relevant conditions to validate the models, and transfer the validated models to industry.

Contact Information

Federal Project Manager 
Seth Lawson: seth.lawson@netl.doe.gov
Technology Manager 
Richard Dennis: richard.dennis@netl.doe.gov
Principal Investigator 
Venkatramanan Raman: v.raman@mail.utexas.edu
 

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