An Adaptive Chemistry Approach to Modeling Emissions Performance of Gas Turbine Combustors, Phase I

In this proposed SBIR project, we seek to implement the Adaptive Chemistry methodology in existing CFD codes used to investigate the emissions performance of gas turbine engine combustors. We will demonstrate the feasibility of integrating Adaptive Chemistry algorithms to current CFD codes. We will also further develop the Adaptive Chemistry method to take advantage of species reduction enabling even larger CPU speedups. The value of the technique is enhanced predictive capability and computational efficiency of existing CFD codes for reacting flows such as gas turbine engine combustion systems. The successful completion of this project will produce the first CFD numerical code that is able to model detailed chemical kinetics as well as fluid dynamics. The end results allow the user to easily and transparently control the balance between computational efficiency and solution accuracy. More »