@Article{YuMinuMaas:2020:ImCo,
author = "Yu, Chunkan and Minuzzi, Felipe and Maas, Ulrich",
affiliation = "{Karlsruhe Institute of Technology} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Karlsruhe Institute of
Technology}",
title = "Methane/air auto-ignition based on Global Quasi-Linearization
(GQL) and Directed Relation Graph (DRG): implementation and
comparison",
journal = "Combustion Science and Technology",
year = "2020",
volume = "192",
number = "9",
pages = "1802--1824",
month = "Sept",
keywords = "Model reduction, chemical kinetics, GQL, DRG, auto-ignition,
methane oxidation.",
abstract = "In this work, two different reduction methods for simplification
of chemical kinetics, the Global Quasi-linearization (GQL) and the
Directed Relation Graph (DRG), are implemented and compared for
ignition of CH 4/air homogeneous reacting system. The GQL approach
is an automatic and scaling invariant method for a global analysis
of the combustion system time-scale hierarchy that takes into
account all the original species and elementary reactions, while
the DRG is a reduction method for construction of skeletal
mechanism that aims at removing unimportant species and thus
elementary reactions from the original detailed kinetics. The
auto-ignition process is used for validation in a wide range of
system parameters and initial conditions which are important for
gas turbines, dual-fuel diesel engines, etc. The present study
shows that for methane combustion system studied in this work DRG
requires dimensions at least two times higher than GQL to ensure
the same level of accuracy for the whole range of considered
system parameters. And, the advantages and disadvantages of both
methods are discussed.",
doi = "10.1080/00102202.2019.1625337",
url = "http://dx.doi.org/10.1080/00102202.2019.1625337",
issn = "0010-2202",
language = "en",
targetfile = "yu_methane.pdf",
urlaccessdate = "28 abr. 2024"
}