Reduced Chemical Kinetic Mechanisms For Oxy/Methane Supercritical Co2 Combustor Simulations
Abstract
Reduced mechanisms are needed for use with computational fluid dynamic codes (CFD) utilized in the design of combustors. Typically, reduced mechanisms are created from a detailed mechanism, 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 highly CO2 diluted methane mixtures. Here, 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 (IDTs) under current conditions. Further, it is inferred that species C2H3 and CH3OH are very important in predicting IDTs of lean sCO2 methane mixtures. Also, the 23-species mechanism presented in this work is able to perform on par with the detailed ARAMCO 2.0 mechanism in terms of simulating IDTs, perfectly stirred-reactor (PSR) 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 IDTs of supercritical CH4/O2/CO2 mixtures but it influences supercritical H2/O2/CO2 mixtures considered in this work.
Publication Date
9-1-2018
Publication Title
Journal of Energy Resources Technology, Transactions of the ASME
Volume
140
Issue
9
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1115/1.4039746
Copyright Status
Unknown
Socpus ID
85051429985 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85051429985
STARS Citation
Manikantachari, K. R.V.; Vesely, Ladislav; Martin, Scott; Bobren-Diaz, Jose O.; and Vasu, Subith, "Reduced Chemical Kinetic Mechanisms For Oxy/Methane Supercritical Co2 Combustor Simulations" (2018). Scopus Export 2015-2019. 7371.
https://stars.library.ucf.edu/scopus2015/7371