Project No: FE0007107
Performer: University of Texas at Austin
Richard A. Dennis Technology Manager, Turbines National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304-285-4515 email@example.com Steven Richardson Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304-285-4185 firstname.lastname@example.org Venkat Raman Principal Investigator Aerospace Engineering University of Texas at Austin 1 University Station C0604 Austin, TX 78712-0235 512-471-4743 email@example.com
DOE Share: $497,638.00
Performer Share: $138,088.00
Total Award Value: $635,726.00
Performer website: University of Texas at Austin - http://www.utexas.edu
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.
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.
Program Background and 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.