Session: 04-15 Combustion Modeling III

Paper Number: 126353

126353 - Numerical Simulation of a Reacting Hydrogen Jet in a Vitiated Co-Flow Using a Detailed Chemistry Model 

The sequential combustion system in a gas turbine is composed of two complementary combustion stages in series: one premix stage followed by an auto-ignited second stage. This helps in reducing NOx significantly and gives more operation flexibility (lower loads) by redistributing the fuel between the two stages.  Staged/sequential combustion is a state-of-the-art method to provide operation flexibility and reduced emissions in gas turbines. A key requisite for such a model is the accurate determination of the flame location to predict emissions, flame dynamics, and temperature distribution.  The numerical simulations of such combustion systems need to accurately capture auto-ignition and flame propagation to predict the flame position and shape. In this work, the hydrogen lifted flames are simulated using a 2-equation LES model with detailed chemistry and adaptive mesh refinement (AMR). The sensitivity of the flame lift-off height to the co-flow temperature and velocity fluctuations at the inlet are studied. The numerical results of the so-called Cabra H2 flame [1] are validated against experimental and numerical results in the literature.

Preliminary simulation results for the lifted flame agree reasonably well with the experimental measurements at various co-flow temperatures. The non-linear increase of the lift-off length with co-flow temperature is captured properly. 

 

Presenting Author: Daniel Lee Convergent Science, Inc.

Presenting Author Biography: Dr. Daniel Lee is an owner and vice president of Convergent Science, Inc., Convergent Science GmbH, and Convergent Science India, LLP. Prior to joining Convergent Science, Dan spent seven years as a senior engineer at ANSYS/Fluent working in the design and analysis of aerospace and marine thermal/fluid systems. He specialized in the simulation of the two-phase turbulent reacting flows found in propulsion systems such as gas turbine engines and solid rocket motors.

Daniel earned a Ph.D. from the University of Wisconsin-Madison Engine Research Center, where his research involved the development of advanced spray combustion algorithms along with LES modeling. Daniel has M.S. and B.S. degrees from Texas A&M University, where he focused on combustion systems and thermodynamics.

Authors:

Rohit Kulkarni Convergent Science India, LLP
Nitesh Attal Convergent Science, Inc.
Shuaishuai Liu Convergent Science, Inc.
Yajuvendra Shekhawat Convergent Science India, LLP
Eric Pomraning Convergent Science, Inc.
Daniel Lee Convergent Science, Inc.
Tristan Burton Convergent Science, Inc.
Kelly Senecal Convergent Science, Inc.