A Reduced Kinetic Mechanism For Oxy/Methane Sco2 Combustor Simulations
Abstract
Reduced mechanisms are needed for use with computational fluid dynamic codes (CFD) utilized in the design of combustors. Typically, the reduced mechanisms are created from the detailed mechanisms which contain numerous species and reactions that are computationally difficult to handle using most CFD codes. Recently, it has been shown that the detailed Aramco 2.0 mechanism well predicted the available experimental data at high pressures and in high-CO2 diluted methane mixtures. Further, a 23-species gas-phase mechanism is derived from the detailed Aramco 2.0 mechanism by path-flux-analysis method (PFA) by using CHEM-RC. It is identified that the reaction CH4+HO2 ⇔ CH3+H2O2 is very crucial in predicting the ignition delay times under current conditions. Further, it is inferred that species C2H3 and CH3OH are very important in predicting the ignition delay time of lean sCO2 methane mixtures. Also, the 23- species mechanism presented in this work is performing on par with the detailed Aramco 2.0 mechanism in-terms of simulating ignition delay times, perfectly-stirred-reactor estimates under various CO2 dilutions and equivalence ratios, and prediction of turbulence chemistry interactions. It is observed that the choice of equation-of-state has no significant impact on the ignition delay times of supercritical CH4/O2/CO2 mixtures but it influences supercritical H2/O2/CO2 mixtures considered in this work.
Publication Date
1-1-2018
Publication Title
American Society of Mechanical Engineers, Power Division (Publication) POWER
Volume
1
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1115/POWER2018-7341
Copyright Status
Unknown
Socpus ID
85055476268 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85055476268
STARS Citation
Manikantachari, K. R.V.; Vesely, Ladislav; Martin, Scott; Bobren-Diaz, Jose O.; and Vasu, Subith, "A Reduced Kinetic Mechanism For Oxy/Methane Sco2 Combustor Simulations" (2018). Scopus Export 2015-2019. 7985.
https://stars.library.ucf.edu/scopus2015/7985